diff --git a/.github/actions/griffe-api-check/action.yml b/.github/actions/griffe-api-check/action.yml
new file mode 100644
index 00000000000..6c090ddeb43
--- /dev/null
+++ b/.github/actions/griffe-api-check/action.yml
@@ -0,0 +1,44 @@
+# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+#
+# SPDX-License-Identifier: Apache-2.0
+
+name: griffe API check
+
+description: >-
+  Check a package's public API (as defined by `__all__`) for changes using
+  griffe.
+
+inputs:
+  package-name:
+    description: "Importable package name to check, e.g. cuda.core"
+    required: true
+  package-dir:
+    description: "Directory to search for the package sources, e.g. cuda_core"
+    required: true
+  merge-base:
+    description: >-
+      Git ref/sha to compare the current code against, typically the PR's
+      merge-base with its target branch.
+    required: true
+
+runs:
+  using: composite
+  steps:
+    - name: Install uv
+      uses: astral-sh/setup-uv@fac544c07dec837d0ccb6301d7b5580bf5edae39  # v8.2.0
+      with:
+        enable-cache: false
+
+    - name: Check API
+      shell: bash --noprofile --norc -euo pipefail {0}
+      env:
+        PACKAGE_NAME: ${{ inputs.package-name }}
+        PACKAGE_DIR: ${{ inputs.package-dir }}
+        MERGE_BASE: ${{ inputs.merge-base }}
+      run: |
+        uvx griffe check "$PACKAGE_NAME" \
+          --search "$PACKAGE_DIR" \
+          --find-stubs-packages \
+          --against "$MERGE_BASE" \
+          --format github \
+          2>&1
diff --git a/.github/workflows/build-wheel.yml b/.github/workflows/build-wheel.yml
index a1fad62c3de..d1e5512a8bf 100644
--- a/.github/workflows/build-wheel.yml
+++ b/.github/workflows/build-wheel.yml
@@ -165,6 +165,19 @@ jobs:
         run: |
           twine check --strict cuda_pathfinder/*.whl
 
+      - name: Constrain builds to the local cuda.pathfinder wheel
+        run: |
+          pathfinder_wheels=(cuda_pathfinder/cuda_pathfinder-*.whl)
+          test "${#pathfinder_wheels[@]}" -eq 1
+          test -f "${pathfinder_wheels[0]}"
+          mkdir -p wheel-constraints
+          if [[ "${{ inputs.host-platform }}" == win* ]]; then
+            pathfinder_uri="file:///$(cygpath -am "${pathfinder_wheels[0]}")"
+          else
+            pathfinder_uri="file:///host$(realpath "${pathfinder_wheels[0]}")"
+          fi
+          printf 'cuda-pathfinder @ %s\n' "${pathfinder_uri}" | tee wheel-constraints/cuda-bindings.txt
+
       - name: Upload cuda.pathfinder build artifacts
         if: ${{ strategy.job-index == 0 && inputs.host-platform == 'linux-64' }}
         uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a  # v7.0.1
@@ -182,13 +195,15 @@ jobs:
           cuda-channel: ${{ inputs.cuda-channel }}
 
       - name: Build cuda.bindings wheel
-        uses: pypa/cibuildwheel@294735312765b09d24a2fbec22660ce817587d55  # v4.1.0
+        uses: pypa/cibuildwheel@4726cd35bb13f7bde50cf2761f2499ac7b3aa32c  # v4.1.1
         with:
           package-dir: ./cuda_bindings/
           output-dir: ${{ env.CUDA_BINDINGS_ARTIFACTS_DIR }}
         env:
           CIBW_BUILD: ${{ env.CIBW_BUILD }}
           CIBW_ARCHS_WINDOWS: ${{ (inputs.host-platform == 'win-arm64' && 'ARM64') || 'AMD64' }}
+          CIBW_BEFORE_BUILD_LINUX: 'python -m pip install --upgrade "pip>=25.3"'
+          CIBW_BEFORE_BUILD_WINDOWS: 'python -m pip install --upgrade "pip>=25.3" delvewheel'
           # TODO: remove cpython-prerelease once 3.15 is officially supported
           # Allow CPython pre-release builds (currently 3.15 / 3.15t). This is a
           # no-op for stable Python versions because CIBW_BUILD still filters
@@ -198,6 +213,8 @@ jobs:
           CIBW_ENVIRONMENT_LINUX: >
             CUDA_PATH=/host/${{ env.CUDA_PATH }}
             CUDA_PYTHON_PARALLEL_LEVEL=${{ env.CUDA_PYTHON_PARALLEL_LEVEL }}
+            PIP_BUILD_CONSTRAINT=/host/${{ github.workspace }}/wheel-constraints/cuda-bindings.txt
+            PIP_CONSTRAINT=/host/${{ github.workspace }}/wheel-constraints/cuda-bindings.txt
             CC="/host/${{ env.SCCACHE_PATH }} cc"
             CXX="/host/${{ env.SCCACHE_PATH }} c++"
             SCCACHE_GHA_ENABLED=true
@@ -211,6 +228,8 @@ jobs:
           CIBW_ENVIRONMENT_WINDOWS: >
             CUDA_PATH="$(cygpath -w ${{ env.CUDA_PATH }})"
             CUDA_PYTHON_PARALLEL_LEVEL=${{ env.CUDA_PYTHON_PARALLEL_LEVEL }}
+            PIP_BUILD_CONSTRAINT="$(cygpath -w ./wheel-constraints/cuda-bindings.txt)"
+            PIP_CONSTRAINT="$(cygpath -w ./wheel-constraints/cuda-bindings.txt)"
           # check cache stats before leaving cibuildwheel
           CIBW_BEFORE_TEST_LINUX: >
             "/host/${{ env.SCCACHE_PATH }}" --show-adv-stats &&
@@ -243,6 +262,27 @@ jobs:
         run: |
           twine check --strict ${{ env.CUDA_BINDINGS_ARTIFACTS_DIR }}/*.whl
 
+      - name: Constrain cuda.core to the local cuda.bindings wheel
+        run: |
+          pathfinder_wheels=(cuda_pathfinder/cuda_pathfinder-*.whl)
+          bindings_wheels=("${CUDA_BINDINGS_ARTIFACTS_DIR}"/cuda_bindings-"${BUILD_CUDA_MAJOR}".*.whl)
+          test "${#pathfinder_wheels[@]}" -eq 1
+          test "${#bindings_wheels[@]}" -eq 1
+          test -f "${pathfinder_wheels[0]}"
+          test -f "${bindings_wheels[0]}"
+          mkdir -p wheel-constraints
+          if [[ "${{ inputs.host-platform }}" == win* ]]; then
+            pathfinder_uri="file:///$(cygpath -am "${pathfinder_wheels[0]}")"
+            bindings_uri="file:///$(cygpath -am "${bindings_wheels[0]}")"
+          else
+            pathfinder_uri="file:///host$(realpath "${pathfinder_wheels[0]}")"
+            bindings_uri="file:///host$(realpath "${bindings_wheels[0]}")"
+          fi
+          {
+            printf 'cuda-pathfinder @ %s\n' "${pathfinder_uri}"
+            printf 'cuda-bindings @ %s\n' "${bindings_uri}"
+          } | tee wheel-constraints/cuda-core.txt
+
       - name: Upload cuda.bindings build artifacts
         uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a  # v7.0.1
         with:
@@ -251,13 +291,15 @@ jobs:
           if-no-files-found: error
 
       - name: Build cuda.core wheel
-        uses: pypa/cibuildwheel@294735312765b09d24a2fbec22660ce817587d55  # v4.1.0
+        uses: pypa/cibuildwheel@4726cd35bb13f7bde50cf2761f2499ac7b3aa32c  # v4.1.1
         with:
           package-dir: ./cuda_core/
           output-dir: ${{ env.CUDA_CORE_ARTIFACTS_DIR }}
         env:
           CIBW_BUILD: ${{ env.CIBW_BUILD }}
           CIBW_ARCHS_WINDOWS: ${{ (inputs.host-platform == 'win-arm64' && 'ARM64') || 'AMD64' }}
+          CIBW_BEFORE_BUILD_LINUX: 'python -m pip install --upgrade "pip>=25.3"'
+          CIBW_BEFORE_BUILD_WINDOWS: 'python -m pip install --upgrade "pip>=25.3" delvewheel'
           # TODO: remove cpython-prerelease once 3.15 is officially supported
           # Allow CPython pre-release builds (currently 3.15 / 3.15t). This is a
           # no-op for stable Python versions because CIBW_BUILD still filters
@@ -268,7 +310,8 @@ jobs:
             CUDA_PATH=/host/${{ env.CUDA_PATH }}
             CUDA_PYTHON_PARALLEL_LEVEL=${{ env.CUDA_PYTHON_PARALLEL_LEVEL }}
             CUDA_CORE_BUILD_MAJOR=${{ env.BUILD_CUDA_MAJOR }}
-            PIP_FIND_LINKS=/host/${{ env.CUDA_BINDINGS_ARTIFACTS_DIR }}
+            PIP_BUILD_CONSTRAINT=/host/${{ github.workspace }}/wheel-constraints/cuda-core.txt
+            PIP_CONSTRAINT=/host/${{ github.workspace }}/wheel-constraints/cuda-core.txt
             CC="/host/${{ env.SCCACHE_PATH }} cc"
             CXX="/host/${{ env.SCCACHE_PATH }} c++"
             SCCACHE_GHA_ENABLED=true
@@ -283,7 +326,8 @@ jobs:
             CUDA_PATH="$(cygpath -w ${{ env.CUDA_PATH }})"
             CUDA_PYTHON_PARALLEL_LEVEL=${{ env.CUDA_PYTHON_PARALLEL_LEVEL }}
             CUDA_CORE_BUILD_MAJOR=${{ env.BUILD_CUDA_MAJOR }}
-            PIP_FIND_LINKS="$(cygpath -w ${{ env.CUDA_BINDINGS_ARTIFACTS_DIR }})"
+            PIP_BUILD_CONSTRAINT="$(cygpath -w ./wheel-constraints/cuda-core.txt)"
+            PIP_CONSTRAINT="$(cygpath -w ./wheel-constraints/cuda-core.txt)"
           # check cache stats before leaving cibuildwheel
           CIBW_BEFORE_TEST_LINUX: >
             "/host${{ env.SCCACHE_PATH }}" --show-adv-stats &&
@@ -366,14 +410,17 @@ jobs:
         id: setup-python2
         uses: actions/setup-python@ece7cb06caefa5fff74198d8649806c4678c61a1  # v6.3.0
         with:
-          # TODO: Pin beta.2 precisely until cibuildwheel catches up (b4 broke ABI for Cython);
-          # this precise pin requires the explicit `freethreaded`.
-          # When 3.15 is officially supported we can also remove the `allow-prereleases` override.
-          python-version: ${{ startsWith(matrix.python-version, '3.15') && '3.15.0-beta.2' || matrix.python-version }}
-          freethreaded: ${{ endsWith(matrix.python-version, 't') }}
+          python-version: ${{ matrix.python-version }}
           architecture: ${{ ((inputs.host-platform == 'linux-aarch64' || inputs.host-platform == 'win-arm64') && 'arm64') || 'x64' }}
+          # TODO: remove allow-prereleases once 3.15 is officially supported
           allow-prereleases: ${{ startsWith(matrix.python-version, '3.15') }}
 
+      - name: Enable Scientific Python Nightly Wheels for Python 3.15
+        if: ${{ !inputs.single-cuda-major && startsWith(matrix.python-version, '3.15') }}
+        run: |
+          echo "PIP_EXTRA_INDEX_URL=https://pypi.anaconda.org/scientific-python-nightly-wheels/simple" >> "$GITHUB_ENV"
+          echo "PIP_ONLY_BINARY=numpy" >> "$GITHUB_ENV"
+
       - name: verify free-threaded build
         if: ${{ !inputs.single-cuda-major && endsWith(matrix.python-version, 't') }}
         run: python -c 'import sys; assert not sys._is_gil_enabled()'
@@ -401,65 +448,6 @@ jobs:
             mv "/c/Program Files/Git/usr/bin/link.exe" "/c/Program Files/Git/usr/bin/link.exe.bak"
           fi
 
-      # TODO: remove the numpy pre-build steps once 3.15 is officially supported
-      # (numpy will publish pre-built 3.15 wheels at that point)
-      - name: Download and patch numpy sdist (pre-release Python)
-        if: ${{ !inputs.single-cuda-major && startsWith(matrix.python-version, '3.15') }}
-        run: |
-          pip download --no-binary numpy --no-deps "numpy>=1.21.1" -d numpy-sdist/
-          cd numpy-sdist && tar xf numpy-*.tar.gz && rm numpy-*.tar.gz
-          # WAR: numpy 2.4.x ships [tool.cibuildwheel] config that is
-          # incompatible with cibuildwheel v4.0 (cpython-freethreading enable
-          # group, OpenBLAS before-build scripts, etc.). Strip the cibuildwheel
-          # sections but preserve [tool.meson-python] (vendored meson path).
-          python -c "
-          import glob
-          for f in glob.glob('numpy-*/pyproject.toml'):
-              lines, skip = open(f).readlines(), False
-              out = []
-              for line in lines:
-                  hdr = line.strip()
-                  if hdr.startswith('[tool.cibuildwheel') or hdr.startswith('[[tool.cibuildwheel'):
-                      skip = True
-                      continue
-                  if skip and hdr.startswith('[') and 'cibuildwheel' not in hdr:
-                      skip = False
-                  if not skip:
-                      out.append(line)
-              open(f, 'w').writelines(out)
-          "
-          echo "NUMPY_SRC_DIR=$(pwd)/$(ls -d numpy-*/)" >> $GITHUB_ENV
-
-      - name: Build numpy wheel (pre-release Python)
-        if: ${{ !inputs.single-cuda-major && startsWith(matrix.python-version, '3.15') }}
-        uses: pypa/cibuildwheel@294735312765b09d24a2fbec22660ce817587d55  # v4.1.0
-        env:
-          CIBW_BUILD: ${{ env.CIBW_BUILD }}
-          CIBW_SKIP: "*-musllinux* *-win32"
-          CIBW_ARCHS_LINUX: "native"
-          CIBW_ARCHS_WINDOWS: ${{ (inputs.host-platform == 'win-arm64' && 'ARM64') || 'AMD64' }}
-          CIBW_BUILD_VERBOSITY: 1
-          CIBW_CONFIG_SETTINGS: "setup-args=-Dallow-noblas=true"
-          CIBW_CONFIG_SETTINGS_WINDOWS: "setup-args=--vsenv setup-args=-Dallow-noblas=true"
-          CIBW_BEFORE_BUILD_WINDOWS: "pip install delvewheel"
-          CIBW_REPAIR_WHEEL_COMMAND_WINDOWS: "delvewheel repair -w {dest_dir} {wheel}"
-          CIBW_ENABLE: "cpython-prerelease"
-        with:
-          package-dir: ${{ env.NUMPY_SRC_DIR }}
-          output-dir: numpy-wheel/
-
-      - name: Upload numpy wheel
-        if: ${{ !inputs.single-cuda-major && startsWith(matrix.python-version, '3.15') }}
-        uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a  # v7.0.1
-        with:
-          name: numpy-python${{ env.PYTHON_VERSION_FORMATTED }}-${{ inputs.host-platform }}
-          path: numpy-wheel/*.whl
-          if-no-files-found: error
-
-      - name: Install numpy wheel
-        if: ${{ !inputs.single-cuda-major && startsWith(matrix.python-version, '3.15') }}
-        run: pip install numpy-wheel/*.whl
-
       - name: Build cuda.bindings Cython tests
         if: ${{ !inputs.single-cuda-major }}
         run: |
@@ -539,23 +527,47 @@ jobs:
           OLD_BRANCH=$(yq '.backport_branch' ci/versions.yml)
           OLD_BASENAME="cuda-bindings-python${PYTHON_VERSION_FORMATTED}-cuda*-${{ inputs.host-platform }}*"
           LATEST_PRIOR_RUN_ID=$(./ci/tools/lookup-run-id --branch "${OLD_BRANCH}" NVIDIA/cuda-python "CI")
+          PREV_BINDINGS_DIR="cuda_bindings/dist-prev"
 
           gh run download $LATEST_PRIOR_RUN_ID -p ${OLD_BASENAME} -R NVIDIA/cuda-python
           rm -rf ${OLD_BASENAME}-tests  # exclude cython test artifacts
           ls -al $OLD_BASENAME
-          mkdir -p "${{ env.CUDA_BINDINGS_ARTIFACTS_DIR }}"
-          mv $OLD_BASENAME/*.whl "${{ env.CUDA_BINDINGS_ARTIFACTS_DIR }}"
+          mkdir -p "${PREV_BINDINGS_DIR}"
+          mv $OLD_BASENAME/*.whl "${PREV_BINDINGS_DIR}"
           rmdir $OLD_BASENAME
 
+      - name: Constrain previous cuda.core to the downloaded cuda.bindings wheel
+        run: |
+          pathfinder_wheels=(cuda_pathfinder/cuda_pathfinder-*.whl)
+          bindings_wheels=(cuda_bindings/dist-prev/cuda_bindings-"${BUILD_PREV_CUDA_MAJOR}".*.whl)
+          test "${#pathfinder_wheels[@]}" -eq 1
+          test "${#bindings_wheels[@]}" -eq 1
+          test -f "${pathfinder_wheels[0]}"
+          test -f "${bindings_wheels[0]}"
+          mkdir -p wheel-constraints
+          if [[ "${{ inputs.host-platform }}" == win* ]]; then
+            pathfinder_uri="file:///$(cygpath -am "${pathfinder_wheels[0]}")"
+            bindings_uri="file:///$(cygpath -am "${bindings_wheels[0]}")"
+          else
+            pathfinder_uri="file:///host$(realpath "${pathfinder_wheels[0]}")"
+            bindings_uri="file:///host$(realpath "${bindings_wheels[0]}")"
+          fi
+          {
+            printf 'cuda-pathfinder @ %s\n' "${pathfinder_uri}"
+            printf 'cuda-bindings @ %s\n' "${bindings_uri}"
+          } | tee wheel-constraints/cuda-core-prev.txt
+
       - name: Build cuda.core wheel
         if: ${{ !inputs.single-cuda-major }}
-        uses: pypa/cibuildwheel@294735312765b09d24a2fbec22660ce817587d55  # v4.1.0
+        uses: pypa/cibuildwheel@4726cd35bb13f7bde50cf2761f2499ac7b3aa32c  # v4.1.1
         with:
           package-dir: ./cuda_core/
           output-dir: ${{ env.CUDA_CORE_ARTIFACTS_DIR }}
         env:
           CIBW_BUILD: ${{ env.CIBW_BUILD }}
           CIBW_ARCHS_WINDOWS: ${{ (inputs.host-platform == 'win-arm64' && 'ARM64') || 'AMD64' }}
+          CIBW_BEFORE_BUILD_LINUX: 'python -m pip install --upgrade "pip>=25.3"'
+          CIBW_BEFORE_BUILD_WINDOWS: 'python -m pip install --upgrade "pip>=25.3" delvewheel'
           # TODO: remove cpython-prerelease once 3.15 is officially supported
           # Allow CPython pre-release builds (currently 3.15 / 3.15t). This is a
           # no-op for stable Python versions because CIBW_BUILD still filters
@@ -566,7 +578,8 @@ jobs:
             CUDA_PATH=/host/${{ env.CUDA_PATH }}
             CUDA_PYTHON_PARALLEL_LEVEL=${{ env.CUDA_PYTHON_PARALLEL_LEVEL }}
             CUDA_CORE_BUILD_MAJOR=${{ env.BUILD_PREV_CUDA_MAJOR }}
-            PIP_FIND_LINKS=/host/${{ env.CUDA_BINDINGS_ARTIFACTS_DIR }}
+            PIP_BUILD_CONSTRAINT=/host/${{ github.workspace }}/wheel-constraints/cuda-core-prev.txt
+            PIP_CONSTRAINT=/host/${{ github.workspace }}/wheel-constraints/cuda-core-prev.txt
             CC="/host/${{ env.SCCACHE_PATH }} cc"
             CXX="/host/${{ env.SCCACHE_PATH }} c++"
             SCCACHE_GHA_ENABLED=true
@@ -581,7 +594,8 @@ jobs:
             CUDA_PATH="$(cygpath -w ${{ env.CUDA_PATH }})"
             CUDA_PYTHON_PARALLEL_LEVEL=${{ env.CUDA_PYTHON_PARALLEL_LEVEL }}
             CUDA_CORE_BUILD_MAJOR=${{ env.BUILD_PREV_CUDA_MAJOR }}
-            PIP_FIND_LINKS="$(cygpath -w ${{ env.CUDA_BINDINGS_ARTIFACTS_DIR }})"
+            PIP_BUILD_CONSTRAINT="$(cygpath -w ./wheel-constraints/cuda-core-prev.txt)"
+            PIP_CONSTRAINT="$(cygpath -w ./wheel-constraints/cuda-core-prev.txt)"
           # check cache stats before leaving cibuildwheel
           CIBW_BEFORE_TEST_LINUX: >
             "/host${{ env.SCCACHE_PATH }}" --show-adv-stats &&
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index e1d7071b7c7..ca3c31ea7dc 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -107,6 +107,7 @@ jobs:
       test_bindings: ${{ steps.compose.outputs.test_bindings }}
       test_core: ${{ steps.compose.outputs.test_core }}
       test_pathfinder: ${{ steps.compose.outputs.test_pathfinder }}
+      pr_merge_base: ${{ steps.filter.outputs.merge_base }}
     steps:
       - name: Checkout repository
         uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0  # v7.0.0
@@ -160,6 +161,7 @@ jobs:
             echo "python_meta=$(has_match '^cuda_python/')"
             echo "test_helpers=$(has_match '^cuda_python_test_helpers/')"
             echo "shared=$(has_match '^(\.github/|ci/|scripts/|toolshed/|conftest\.py$|pyproject\.toml$|pixi\.(toml|lock)$|pytest\.ini$|ruff\.toml$)')"
+            echo "merge_base=${base}"
           } >> "$GITHUB_OUTPUT"
 
       - name: Compose gating outputs
@@ -232,6 +234,89 @@ jobs:
             echo "test_pathfinder=${test_pathfinder}"
           } >> "$GITHUB_OUTPUT"
 
+  api-check-core-vs-release:
+    name: API check (cuda_core vs. latest release)
+    if: >-
+      ${{ !fromJSON(needs.should-skip.outputs.skip) &&
+          fromJSON(needs.detect-changes.outputs.core) }}
+    runs-on: ubuntu-latest
+    needs:
+      - should-skip
+      - detect-changes
+    permissions:
+      contents: read
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0  # v7.0.0
+        with:
+          fetch-depth: 1
+          filter: blob:none
+
+      - name: Find latest release tag
+        id: latest-tag
+        shell: bash --noprofile --norc -euo pipefail {0}
+        env:
+          GH_TOKEN: ${{ github.token }}
+        run: |
+          # --paginate fetches all pages; jq outputs one name per line per page;
+          # sed prints the first (newest) match while consuming all pages, so
+          # gh can complete without SIGPIPE. Fails if no cuda-core-v* tag is found.
+          tag="$(gh api "repos/$GITHUB_REPOSITORY/tags" --paginate \
+            --jq '.[] | select(.name | startswith("cuda-core-v")) | .name' \
+            | sed -n '1p')"
+          if [[ -z "${tag}" ]]; then
+            echo "::error::No cuda-core-v* tag found in the repository." >&2
+            exit 1
+          fi
+          echo "tag=${tag}" >> "$GITHUB_OUTPUT"
+
+      - name: Fetch release tag
+        shell: bash --noprofile --norc -euo pipefail {0}
+        run: |
+          git fetch --depth=1 --filter=blob:none origin \
+            "refs/tags/${{ steps.latest-tag.outputs.tag }}:refs/tags/${{ steps.latest-tag.outputs.tag }}"
+
+      - name: Check cuda_core public API
+        id: griffe
+        uses: ./.github/actions/griffe-api-check
+        with:
+          package-name: cuda.core
+          package-dir: cuda_core
+          merge-base: ${{ steps.latest-tag.outputs.tag }}
+
+  api-check-core-vs-base:
+    name: API check (cuda_core vs. merge base)
+    if: >-
+      ${{ startsWith(github.ref_name, 'pull-request/') &&
+          !fromJSON(needs.should-skip.outputs.skip) &&
+          fromJSON(needs.detect-changes.outputs.core) }}
+    runs-on: ubuntu-latest
+    needs:
+      - should-skip
+      - detect-changes
+    permissions:
+      contents: read
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0  # v7.0.0
+        with:
+          fetch-depth: 1
+          filter: blob:none
+
+      - name: Fetch merge base commit
+        shell: bash --noprofile --norc -euo pipefail {0}
+        run: |
+          git fetch --depth=1 --filter=blob:none origin \
+            "${{ needs.detect-changes.outputs.pr_merge_base }}"
+
+      - name: Check cuda_core public API
+        id: griffe
+        uses: ./.github/actions/griffe-api-check
+        with:
+          package-name: cuda.core
+          package-dir: cuda_core
+          merge-base: ${{ needs.detect-changes.outputs.pr_merge_base }}
+
   # NOTE: Build jobs are intentionally split by platform rather than using a single
   # matrix. This allows each test job to depend only on its corresponding build,
   # so faster platforms can proceed through build & test without waiting for slower
@@ -469,6 +554,38 @@ jobs:
     with:
       is-release: ${{ github.ref_type == 'tag' }}
 
+  precommit-windows:
+    name: Pre-commit on Windows
+    runs-on: windows-latest
+    if: ${{ github.repository_owner == 'nvidia' && !fromJSON(needs.should-skip.outputs.skip) }}
+    needs:
+      - should-skip
+    permissions:
+      contents: read
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0  # v7.0.0
+        with:
+          fetch-depth: 1
+          persist-credentials: false
+
+      - name: Set up Python
+        uses: actions/setup-python@ece7cb06caefa5fff74198d8649806c4678c61a1  # v6.3.0
+        with:
+          python-version: '3.13'
+
+      - name: Install pre-commit
+        shell: bash
+        run: |
+          set -euxo pipefail
+          python -m pip install --upgrade pip pre-commit
+
+      - name: Run pre-commit
+        shell: bash
+        run: |
+          set -euxo pipefail
+          SKIP=lychee pre-commit run --all-files
+
   checks:
     name: Check job status
     if: always()
@@ -485,6 +602,7 @@ jobs:
       - test-linux-aarch64
       - test-windows
       - doc
+      - precommit-windows
     steps:
       - name: Exit
         run: |
@@ -519,6 +637,7 @@ jobs:
           check_result "should-skip"    "success" "${{ needs.should-skip.result }}"
           check_result "detect-changes" "success" "${{ needs.detect-changes.result }}"
           check_result "doc"            "success" "${{ needs.doc.result }}"
+          check_result "precommit-windows" "success" "${{ needs.precommit-windows.result }}"
 
           # [doc-only] skips all builds and tests. Windows preview wheel builds
           # run, but GPU tests remain skipped until suitable runners are available.
diff --git a/.github/workflows/coverage.yml b/.github/workflows/coverage.yml
index f1b8eb9f3a2..fc234999fca 100644
--- a/.github/workflows/coverage.yml
+++ b/.github/workflows/coverage.yml
@@ -118,18 +118,51 @@ jobs:
         run: |
           python -m venv .venv
 
-      - name: Build cuda-pathfinder
-        run: |
-          cd cuda_pathfinder
-          ../.venv/bin/pip install -v . --group test
-
-      - name: Build cuda-bindings
-        run: |
-          cd cuda_bindings
-          ../.venv/bin/pip install -v . --group test
-
-      - name: Build cuda-core
-        run: |
+      - name: Install pip with build-constraint support
+        run: .venv/bin/python -m pip install "pip>=25.3"
+
+      - name: Build and install cuda-pathfinder wheel
+        run: |
+          .venv/bin/pip wheel -v --no-deps ./cuda_pathfinder -w ./wheels/
+          .venv/bin/pip install -v ./wheels/cuda_pathfinder*.whl --group ./cuda_pathfinder/pyproject.toml:test
+
+      - name: Constrain builds to the local cuda-pathfinder wheel
+        run: |
+          pathfinder_wheels=(wheels/cuda_pathfinder-*.whl)
+          test "${#pathfinder_wheels[@]}" -eq 1
+          test -f "${pathfinder_wheels[0]}"
+          mkdir -p wheel-constraints
+          pathfinder_uri="file://$(realpath "${pathfinder_wheels[0]}")"
+          printf 'cuda-pathfinder @ %s\n' "${pathfinder_uri}" | tee wheel-constraints/cuda-bindings.txt
+
+      - name: Build and install cuda-bindings wheel
+        run: |
+          export PIP_BUILD_CONSTRAINT="$(pwd)/wheel-constraints/cuda-bindings.txt"
+          export PIP_CONSTRAINT="${PIP_BUILD_CONSTRAINT}"
+          .venv/bin/pip wheel -v --no-deps ./cuda_bindings -w ./wheels/
+          .venv/bin/pip install -v ./wheels/cuda_bindings*.whl --group ./cuda_bindings/pyproject.toml:test
+
+      - name: Constrain cuda-core to the local cuda-bindings wheel
+        run: |
+          CUDA_MAJOR="${CUDA_VER%%.*}"
+          pathfinder_wheels=(wheels/cuda_pathfinder-*.whl)
+          bindings_wheels=(wheels/cuda_bindings-"${CUDA_MAJOR}".*.whl)
+          test "${#pathfinder_wheels[@]}" -eq 1
+          test "${#bindings_wheels[@]}" -eq 1
+          test -f "${pathfinder_wheels[0]}"
+          test -f "${bindings_wheels[0]}"
+          mkdir -p wheel-constraints
+          pathfinder_uri="file://$(realpath "${pathfinder_wheels[0]}")"
+          bindings_uri="file://$(realpath "${bindings_wheels[0]}")"
+          {
+            printf 'cuda-pathfinder @ %s\n' "${pathfinder_uri}"
+            printf 'cuda-bindings @ %s\n' "${bindings_uri}"
+          } | tee wheel-constraints/cuda-core.txt
+
+      - name: Build and install cuda-core
+        run: |
+          export PIP_BUILD_CONSTRAINT="$(pwd)/wheel-constraints/cuda-core.txt"
+          export PIP_CONSTRAINT="${PIP_BUILD_CONSTRAINT}"
           cd cuda_core
           ../.venv/bin/pip install -v . --group test
 
@@ -225,23 +258,65 @@ jobs:
         run: |
           python -m venv .venv
 
-      - name: Build and install cuda.pathfinder
+      - name: Build cuda.pathfinder wheel
         run: |
-          .venv/Scripts/pip install wheel setuptools Cython
+          .venv/Scripts/python -m pip install "pip>=25.3" wheel setuptools Cython
           .venv/Scripts/pip wheel -v --no-deps ./cuda_pathfinder -w ./wheels/
 
+      - name: Constrain builds to the local cuda.pathfinder wheel
+        run: |
+          pathfinder_wheels=(wheels/cuda_pathfinder-*.whl)
+          test "${#pathfinder_wheels[@]}" -eq 1
+          test -f "${pathfinder_wheels[0]}"
+          mkdir -p wheel-constraints
+          pathfinder_uri="file:///$(cygpath -am "${pathfinder_wheels[0]}")"
+          printf 'cuda-pathfinder @ %s\n' "${pathfinder_uri}" | tee wheel-constraints/cuda-bindings.txt
+
       - name: Build cuda.bindings wheel
         run: |
+          export PIP_BUILD_CONSTRAINT="$(cygpath -w "$(pwd)/wheel-constraints/cuda-bindings.txt")"
+          export PIP_CONSTRAINT="${PIP_BUILD_CONSTRAINT}"
           cd cuda_bindings
           ../.venv/Scripts/pip wheel -v --no-deps . -w ../wheels/
 
+      - name: Constrain cuda.core to the local cuda.bindings wheel
+        run: |
+          CUDA_MAJOR="${CUDA_VER%%.*}"
+          pathfinder_wheels=(wheels/cuda_pathfinder-*.whl)
+          bindings_wheels=(wheels/cuda_bindings-"${CUDA_MAJOR}".*.whl)
+          test "${#pathfinder_wheels[@]}" -eq 1
+          test "${#bindings_wheels[@]}" -eq 1
+          test -f "${pathfinder_wheels[0]}"
+          test -f "${bindings_wheels[0]}"
+          mkdir -p wheel-constraints
+          pathfinder_uri="file:///$(cygpath -am "${pathfinder_wheels[0]}")"
+          bindings_uri="file:///$(cygpath -am "${bindings_wheels[0]}")"
+          {
+            printf 'cuda-pathfinder @ %s\n' "${pathfinder_uri}"
+            printf 'cuda-bindings @ %s\n' "${bindings_uri}"
+          } | tee wheel-constraints/cuda-core.txt
+
       - name: Build cuda.core wheel
         run: |
-          export PIP_FIND_LINKS="$(pwd)/wheels"
-          export PIP_PRE=1
+          export PIP_BUILD_CONSTRAINT="$(cygpath -w "$(pwd)/wheel-constraints/cuda-core.txt")"
+          export PIP_CONSTRAINT="${PIP_BUILD_CONSTRAINT}"
           cd cuda_core
           ../.venv/Scripts/pip wheel -v --no-deps . -w ../wheels/
 
+      # Vendor the DLLs these wheels were built against, the way cibuildwheel
+      # does for every other Windows build.  --namespace-pkg is needed because
+      # `cuda` is a namespace package.
+      - name: Repair the Windows wheels
+        run: |
+          .venv/Scripts/pip install delvewheel
+          mkdir -p wheels-repaired
+          for whl in ./wheels/cuda_bindings-*.whl ./wheels/cuda_core-*.whl; do
+            .venv/Scripts/delvewheel repair --namespace-pkg cuda \
+              --exclude "torch_cpu.dll;torch_python.dll" \
+              -w ./wheels-repaired "$whl"
+          done
+          mv -f ./wheels-repaired/*.whl ./wheels/
+
       - name: List wheel artifacts
         run: |
           echo "=== Windows wheel artifacts ==="
@@ -335,7 +410,6 @@ jobs:
 
       - name: Install test dependencies and coverage tools
         run: |
-          .venv/Scripts/pip install -v ./cuda_python_test_helpers
           .venv/Scripts/pip install coverage pytest-cov Cython
           .venv/Scripts/pip install --group ./cuda_pathfinder/pyproject.toml:test
           .venv/Scripts/pip install --group ./cuda_bindings/pyproject.toml:test
diff --git a/.github/workflows/test-sdist-linux.yml b/.github/workflows/test-sdist-linux.yml
index cc00dfee680..e88f358bf3f 100644
--- a/.github/workflows/test-sdist-linux.yml
+++ b/.github/workflows/test-sdist-linux.yml
@@ -43,7 +43,7 @@ jobs:
           python-version: "3.12"
 
       - name: Install build tools
-        run: pip install build
+        run: python -m pip install "pip>=25.3" build
 
       # Pure Python packages -- no CTK needed.
       - name: Build cuda.pathfinder sdist and wheel-from-sdist
@@ -56,6 +56,15 @@ jobs:
           python -m build --sdist cuda_python/
           pip wheel --no-deps --wheel-dir cuda_python/dist cuda_python/dist/*.tar.gz
 
+      - name: Constrain builds to the local cuda.pathfinder wheel
+        run: |
+          pathfinder_wheels=(cuda_pathfinder/dist/cuda_pathfinder-*.whl)
+          test "${#pathfinder_wheels[@]}" -eq 1
+          test -f "${pathfinder_wheels[0]}"
+          mkdir -p wheel-constraints
+          pathfinder_uri="file://$(realpath "${pathfinder_wheels[0]}")"
+          printf 'cuda-pathfinder @ %s\n' "${pathfinder_uri}" | tee wheel-constraints/cuda-bindings.txt
+
       # Cython packages need CTK + sccache.
       # The env vars ACTIONS_CACHE_SERVICE_V2, ACTIONS_RESULTS_URL, and ACTIONS_RUNTIME_TOKEN
       # are exposed by this action.
@@ -93,10 +102,28 @@ jobs:
           export CUDA_PYTHON_PARALLEL_LEVEL=$(nproc)
           export CC="sccache cc"
           export CXX="sccache c++"
-          export PIP_FIND_LINKS="$(pwd)/cuda_pathfinder/dist"
+          export PIP_BUILD_CONSTRAINT="$(pwd)/wheel-constraints/cuda-bindings.txt"
+          export PIP_CONSTRAINT="${PIP_BUILD_CONSTRAINT}"
           python -m build --sdist cuda_bindings/
           pip wheel --no-deps --wheel-dir cuda_bindings/dist cuda_bindings/dist/*.tar.gz
 
+      - name: Constrain cuda.core to the local cuda.bindings wheel
+        run: |
+          CUDA_MAJOR="$(echo '${{ inputs.cuda-version }}' | cut -d. -f1)"
+          pathfinder_wheels=(cuda_pathfinder/dist/cuda_pathfinder-*.whl)
+          bindings_wheels=(cuda_bindings/dist/cuda_bindings-"${CUDA_MAJOR}".*.whl)
+          test "${#pathfinder_wheels[@]}" -eq 1
+          test "${#bindings_wheels[@]}" -eq 1
+          test -f "${pathfinder_wheels[0]}"
+          test -f "${bindings_wheels[0]}"
+          mkdir -p wheel-constraints
+          pathfinder_uri="file://$(realpath "${pathfinder_wheels[0]}")"
+          bindings_uri="file://$(realpath "${bindings_wheels[0]}")"
+          {
+            printf 'cuda-pathfinder @ %s\n' "${pathfinder_uri}"
+            printf 'cuda-bindings @ %s\n' "${bindings_uri}"
+          } | tee wheel-constraints/cuda-core.txt
+
       # cuda_core sdist delegates to setuptools (no CTK needed), but
       # wheel-from-sdist needs CTK and cuda-bindings (dynamic build dep via
       # get_requires_for_build_wheel in build_hooks.py).
@@ -106,7 +133,8 @@ jobs:
           export CUDA_CORE_BUILD_MAJOR="$(echo '${{ inputs.cuda-version }}' | cut -d. -f1)"
           export CC="sccache cc"
           export CXX="sccache c++"
-          export PIP_FIND_LINKS="$(pwd)/cuda_bindings/dist $(pwd)/cuda_pathfinder/dist"
+          export PIP_BUILD_CONSTRAINT="$(pwd)/wheel-constraints/cuda-core.txt"
+          export PIP_CONSTRAINT="${PIP_BUILD_CONSTRAINT}"
           python -m build --sdist cuda_core/
           pip wheel --no-deps --wheel-dir cuda_core/dist cuda_core/dist/*.tar.gz
 
diff --git a/.github/workflows/test-sdist-windows.yml b/.github/workflows/test-sdist-windows.yml
index c0e4b2abc55..8ebd9738f0f 100644
--- a/.github/workflows/test-sdist-windows.yml
+++ b/.github/workflows/test-sdist-windows.yml
@@ -52,7 +52,7 @@ jobs:
         uses: step-security/msvc-dev-cmd@22c98154b708dbd743e6f27a933cf6ceba3305c4  # v1.13.1
 
       - name: Install build tools
-        run: pip install build
+        run: python -m pip install "pip>=25.3" build
 
       # Pure Python packages -- no CTK needed.
       - name: Build cuda.pathfinder sdist and wheel-from-sdist
@@ -65,6 +65,15 @@ jobs:
           python -m build --sdist cuda_python/
           pip wheel --no-deps --wheel-dir cuda_python/dist cuda_python/dist/*.tar.gz
 
+      - name: Constrain builds to the local cuda.pathfinder wheel
+        run: |
+          pathfinder_wheels=(cuda_pathfinder/dist/cuda_pathfinder-*.whl)
+          test "${#pathfinder_wheels[@]}" -eq 1
+          test -f "${pathfinder_wheels[0]}"
+          mkdir -p wheel-constraints
+          pathfinder_uri="file:///$(cygpath -am "${pathfinder_wheels[0]}")"
+          printf 'cuda-pathfinder @ %s\n' "${pathfinder_uri}" | tee wheel-constraints/cuda-bindings.txt
+
       # Cython packages need CTK. No sccache on Windows (this is a correctness
       # smoke test, not a production build; see build-wheel.yml which also
       # limits sccache to Linux).
@@ -78,17 +87,33 @@ jobs:
 
       # cuda_bindings/setup.py parses CUDA headers at import time, so CUDA_PATH
       # (set by fetch_ctk) must be available for both sdist and wheel builds.
-      # PIP_FIND_LINKS is passed as a native Windows path via cygpath because
-      # pip on Windows treats space-separated entries as separators and is
-      # picky about mixed path styles (see build-wheel.yml for the same
-      # convention).
+      # Constraint paths are passed as native Windows paths because the pip
+      # subprocesses run outside Git Bash.
       - name: Build cuda.bindings sdist and wheel-from-sdist
         run: |
           export CUDA_PYTHON_PARALLEL_LEVEL=$(nproc)
-          export PIP_FIND_LINKS="$(cygpath -w "$(pwd)/cuda_pathfinder/dist")"
+          export PIP_BUILD_CONSTRAINT="$(cygpath -w "$(pwd)/wheel-constraints/cuda-bindings.txt")"
+          export PIP_CONSTRAINT="${PIP_BUILD_CONSTRAINT}"
           python -m build --sdist cuda_bindings/
           pip wheel --no-deps --wheel-dir cuda_bindings/dist cuda_bindings/dist/*.tar.gz
 
+      - name: Constrain cuda.core to the local cuda.bindings wheel
+        run: |
+          CUDA_MAJOR="$(echo '${{ inputs.cuda-version }}' | cut -d. -f1)"
+          pathfinder_wheels=(cuda_pathfinder/dist/cuda_pathfinder-*.whl)
+          bindings_wheels=(cuda_bindings/dist/cuda_bindings-"${CUDA_MAJOR}".*.whl)
+          test "${#pathfinder_wheels[@]}" -eq 1
+          test "${#bindings_wheels[@]}" -eq 1
+          test -f "${pathfinder_wheels[0]}"
+          test -f "${bindings_wheels[0]}"
+          mkdir -p wheel-constraints
+          pathfinder_uri="file:///$(cygpath -am "${pathfinder_wheels[0]}")"
+          bindings_uri="file:///$(cygpath -am "${bindings_wheels[0]}")"
+          {
+            printf 'cuda-pathfinder @ %s\n' "${pathfinder_uri}"
+            printf 'cuda-bindings @ %s\n' "${bindings_uri}"
+          } | tee wheel-constraints/cuda-core.txt
+
       # cuda_core sdist delegates to setuptools (no CTK needed), but
       # wheel-from-sdist needs CTK and cuda-bindings (dynamic build dep via
       # get_requires_for_build_wheel in build_hooks.py).
@@ -96,6 +121,7 @@ jobs:
         run: |
           export CUDA_PYTHON_PARALLEL_LEVEL=$(nproc)
           export CUDA_CORE_BUILD_MAJOR="$(echo '${{ inputs.cuda-version }}' | cut -d. -f1)"
-          export PIP_FIND_LINKS="$(cygpath -w "$(pwd)/cuda_bindings/dist") $(cygpath -w "$(pwd)/cuda_pathfinder/dist")"
+          export PIP_BUILD_CONSTRAINT="$(cygpath -w "$(pwd)/wheel-constraints/cuda-core.txt")"
+          export PIP_CONSTRAINT="${PIP_BUILD_CONSTRAINT}"
           python -m build --sdist cuda_core/
           pip wheel --no-deps --wheel-dir cuda_core/dist cuda_core/dist/*.tar.gz
diff --git a/.github/workflows/test-wheel-linux.yml b/.github/workflows/test-wheel-linux.yml
index 3bf53aff5fa..4235e01d321 100644
--- a/.github/workflows/test-wheel-linux.yml
+++ b/.github/workflows/test-wheel-linux.yml
@@ -296,16 +296,19 @@ jobs:
       - name: Set up Python ${{ matrix.PY_VER }}
         uses: actions/setup-python@ece7cb06caefa5fff74198d8649806c4678c61a1  # v6.3.0
         with:
-          # TODO: Pin beta.2 precisely until cibuildwheel catches up (b4 broke ABI for Cython)
-          # this precise pin requires the explicit `freethreaded`.
-          # When 3.15 is officially supported we can also remove the `allow-prereleases` override.
-          python-version: ${{ startsWith(matrix.PY_VER, '3.15') && '3.15.0-beta.2' || matrix.PY_VER }}
-          freethreaded: ${{ endsWith(matrix.PY_VER, 't') }}
+          python-version: ${{ matrix.PY_VER }}
+          # TODO: remove allow-prereleases once 3.15 is officially supported
           allow-prereleases: ${{ startsWith(matrix.PY_VER, '3.15') }}
         env:
           # we use self-hosted runners on which setup-python behaves weirdly (Python include can't be found)...
           AGENT_TOOLSDIRECTORY: "/opt/hostedtoolcache"
 
+      - name: Enable Scientific Python Nightly Wheels for Python 3.15
+        if: ${{ startsWith(matrix.PY_VER, '3.15') }}
+        run: |
+          echo "PIP_EXTRA_INDEX_URL=https://pypi.anaconda.org/scientific-python-nightly-wheels/simple" >> "$GITHUB_ENV"
+          echo "PIP_ONLY_BINARY=numpy" >> "$GITHUB_ENV"
+
       - name: Set up mini CTK
         if: ${{ matrix.LOCAL_CTK == '1' }}
         uses: ./.github/actions/fetch_ctk
@@ -314,18 +317,6 @@ jobs:
           host-platform: ${{ inputs.host-platform }}
           cuda-version: ${{ matrix.CUDA_VER }}
 
-      # TODO: remove the numpy wheel steps once 3.15 is officially supported
-      - name: Download numpy wheel (pre-release Python)
-        if: ${{ startsWith(matrix.PY_VER, '3.15') }}
-        uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c  # v8.0.1
-        with:
-          name: numpy-python${{ env.PYTHON_VERSION_FORMATTED }}-${{ inputs.host-platform }}
-          path: numpy-wheel
-
-      - name: Install numpy wheel (pre-release Python)
-        if: ${{ startsWith(matrix.PY_VER, '3.15') }}
-        run: pip install numpy-wheel/*.whl
-
       - name: Set up latest cuda_sanitizer_api
         if: ${{ env.SETUP_SANITIZER == '1' }}
         uses: ./.github/actions/fetch_ctk
@@ -355,9 +346,6 @@ jobs:
         env:
           CUDA_VER: ${{ matrix.CUDA_VER }}
           LOCAL_CTK: ${{ matrix.LOCAL_CTK }}
-          # #2299: BAR-size query returns CUDA_ERROR_NOT_SUPPORTED on G+H;
-          # skip the test on gh200 runners until upstream cufile guards it.
-          PYTEST_ADDOPTS: ${{ matrix.GPU == 'gh200' && '--deselect tests/test_cufile.py::test_get_bar_size_in_kb' || '' }}
         run: run-tests bindings
 
       - name: Run cuda.bindings benchmarks (smoke test)
@@ -437,7 +425,7 @@ jobs:
         if: ${{ inputs.test-mode == 'nightly-pytorch' }}
         run: |
           pushd cuda_core
-          pytest -rxXs -v --durations=0 tests/test_utils.py tests/example_tests/
+          pytest -rxXs -v tests/test_utils.py tests/example_tests/
           popd
 
       - name: Run numba-cuda tests
@@ -497,7 +485,7 @@ jobs:
               --deselect 'tests/numba_cuda_tests/cudadrv/test_nvjitlink.py::TestLinkerDumpAssembly::test_nvjitlink_jit_with_linkable_code_lto_dump_assembly_warn'
             )
           fi
-          pytest -rxXs -v --durations=0 \
+          pytest -rxXs -v \
             --ignore=tests/benchmarks \
             --ignore=tests/doc_examples \
             "${DESELECTS[@]}" \
@@ -534,7 +522,7 @@ jobs:
               --deselect 'tests/test_enum_coverage.py::test_wrapper_covers_all_binding_members[NvlinkVersion]'
             )
           fi
-          pytest -rxXs -v --durations=0 --randomly-dont-reorganize \
+          pytest -rxXs -v --randomly-dont-reorganize \
             "${DESELECTS[@]}" \
             tests/
           popd
diff --git a/.github/workflows/test-wheel-windows.yml b/.github/workflows/test-wheel-windows.yml
index 7f98a649f73..91da06d9eac 100644
--- a/.github/workflows/test-wheel-windows.yml
+++ b/.github/workflows/test-wheel-windows.yml
@@ -276,13 +276,17 @@ jobs:
       - name: Set up Python ${{ matrix.PY_VER }}
         uses: actions/setup-python@ece7cb06caefa5fff74198d8649806c4678c61a1  # v6.3.0
         with:
-          # TODO: Pin beta.2 precisely until cibuildwheel catches up (b4 broke ABI for Cython)
-          # this precise pin requires the explicit `freethreaded`.
-          # When 3.15 is officially supported we can also remove the `allow-prereleases` override.
-          python-version: ${{ startsWith(matrix.PY_VER, '3.15') && '3.15.0-beta.2' || matrix.PY_VER }}
-          freethreaded: ${{ endsWith(matrix.PY_VER, 't') }}
+          python-version: ${{ matrix.PY_VER }}
+          # TODO: remove allow-prereleases once 3.15 is officially supported
           allow-prereleases: ${{ startsWith(matrix.PY_VER, '3.15') }}
 
+      - name: Enable Scientific Python Nightly Wheels for Python 3.15
+        if: ${{ startsWith(matrix.PY_VER, '3.15') }}
+        shell: bash --noprofile --norc -xeuo pipefail {0}
+        run: |
+          echo "PIP_EXTRA_INDEX_URL=https://pypi.anaconda.org/scientific-python-nightly-wheels/simple" >> "$GITHUB_ENV"
+          echo "PIP_ONLY_BINARY=numpy" >> "$GITHUB_ENV"
+
       - name: Verify LongPathsEnabled
         run: |
           $val = (Get-ItemProperty -Path 'HKLM:\SYSTEM\CurrentControlSet\Control\FileSystem' -Name 'LongPathsEnabled').LongPathsEnabled
@@ -300,19 +304,6 @@ jobs:
           host-platform: ${{ inputs.host-platform }}
           cuda-version: ${{ matrix.CUDA_VER }}
 
-      # TODO: remove the numpy wheel steps once 3.15 is officially supported
-      - name: Download numpy wheel (pre-release Python)
-        if: ${{ startsWith(matrix.PY_VER, '3.15') }}
-        uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c  # v8.0.1
-        with:
-          name: numpy-python${{ env.PYTHON_VERSION_FORMATTED }}-${{ inputs.host-platform }}
-          path: numpy-wheel
-
-      - name: Install numpy wheel (pre-release Python)
-        if: ${{ startsWith(matrix.PY_VER, '3.15') }}
-        shell: bash --noprofile --norc -xeuo pipefail {0}
-        run: pip install numpy-wheel/*.whl
-
       - name: Set up test repetition on nightly runs
         shell: bash --noprofile --norc -xeuo pipefail {0}
         run: echo "PYTEST_ADDOPTS=\"--count=${{ inputs.nruns }}\"" >> "$GITHUB_ENV"
@@ -418,7 +409,7 @@ jobs:
         shell: bash --noprofile --norc -xeuo pipefail {0}
         run: |
           pushd cuda_core
-          pytest -rxXs -v --durations=0 tests/test_utils.py tests/example_tests/
+          pytest -rxXs -v tests/test_utils.py tests/example_tests/
           popd
 
       - name: Run numba-cuda tests
@@ -461,7 +452,7 @@ jobs:
               --deselect 'tests/numba_cuda_tests/cudapy/test_cuda_array_interface.py::TestCudaArrayInterface::test_fortran_contiguous'
             )
           fi
-          pytest -rxXs -v --durations=0 \
+          pytest -rxXs -v \
             --ignore=tests/benchmarks \
             --ignore=tests/doc_examples \
             "${DESELECTS[@]}" \
@@ -503,7 +494,7 @@ jobs:
               --deselect 'tests/test_memory.py::test_non_managed_resources_report_not_managed[pinned]'
             )
           fi
-          pytest -rxXs -v --durations=0 --randomly-dont-reorganize \
+          pytest -rxXs -v --randomly-dont-reorganize \
             "${DESELECTS[@]}" \
             tests/
           popd
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 8a95d188070..451e665cbf6 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -50,6 +50,20 @@ repos:
         files: ^cuda_bindings/
         types: [text]
 
+      - id: check-pixi-cuda-version
+        name: Check pixi cuda-version pins track ci/versions.yml
+        entry: python ./ci/tools/check_pixi_cuda_version.py
+        language: python
+        additional_dependencies: [pyyaml==6.0.3]
+        files: '^(ci/versions\.yml|cuda_bindings/pixi\.toml|cuda_core/pixi\.toml)$'
+        pass_filenames: false
+
+      - id: check-mempool-hygiene
+        name: Check tests do not create uncapped memory pools
+        entry: python ./ci/tools/check_mempool_hygiene.py
+        language: python
+        files: '^cuda_core/tests/.*\.py$'
+
       - id: no-markdown-in-docs-source
         name: Prevent markdown files in docs/source directories
         entry: bash -c
@@ -61,13 +75,13 @@ repos:
 
       - id: stubgen-pyx-cuda-core
         name: Generate .pyi stubs for cuda_core
-        entry: stubgen-pyx cuda_core/cuda --continue-on-error --include-private
+        entry: python ./toolshed/run_stubgen_pyx.py
         language: python
         files: ^cuda_core/cuda/.*\.(pyx|pxd)$
         pass_filenames: false
         additional_dependencies:
           - stubgen-pyx==0.2.6
-          - Cython==3.2.4
+          - Cython==3.2.9
 
   # Link checking for authored documentation files
   - repo: https://github.com/lycheeverse/lychee
@@ -96,7 +110,7 @@ repos:
     - id: check-yaml
     - id: debug-statements
     - id: end-of-file-fixer
-      exclude: &gen_exclude '^(?:cuda_python/README\.md|cuda_bindings/cuda/bindings/.*\.in?|cuda_bindings/docs/source/module/.*\.rst?|.*\.pyi)$'
+      exclude: &gen_exclude '^(?:cuda_python/README\.md|(?:.*/)?CLAUDE\.md|(?:.*/)?\.git_archival\.txt|cuda_bindings/cuda/bindings/.*\.in?|cuda_bindings/docs/source/module/.*\.rst?|.*\.pyi)$'
     - id: mixed-line-ending
     - id: trailing-whitespace
       exclude: |
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 012126cc842..2a477edddeb 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -19,8 +19,13 @@ Thank you for your interest in contributing to CUDA Python! Based on the type of
 
 - [Contributing to CUDA Python](#contributing-to-cuda-python)
   - [Table of Contents](#table-of-contents)
+  - [Cloning the repository](#cloning-the-repository)
+    - [Recommended clone](#recommended-clone)
+    - [Fixing an existing clone](#fixing-an-existing-clone)
+    - [Symptoms of a bad clone](#symptoms-of-a-bad-clone)
   - [Type stubs for cuda.core](#type-stubs-for-cudacore)
   - [Pre-commit](#pre-commit)
+    - [Pre-commit on Windows](#pre-commit-on-windows)
   - [Signing Your Work](#signing-your-work)
   - [Code signing](#code-signing)
   - [Developer Certificate of Origin (DCO)](#developer-certificate-of-origin-dco)
@@ -34,6 +39,94 @@ Thank you for your interest in contributing to CUDA Python! Based on the type of
   - [Code coverage](#code-coverage)
 
 
+## Cloning the repository
+
+Every package in this repository derives its version from git tags using
+[`setuptools-scm`](https://setuptools-scm.readthedocs.io/), so **how you clone
+determines whether you can build at all, and whether the version you build is
+correct.** Each package matches its own tag prefix:
+
+| Package | Tag pattern |
+| --- | --- |
+| `cuda-bindings`, `cuda-python` | `v*` (e.g. `v13.3.1`) |
+| `cuda-core` | `cuda-core-v*` (e.g. `cuda-core-v1.1.0`) |
+| `cuda-pathfinder` | `cuda-pathfinder-v*` (e.g. `cuda-pathfinder-v1.6.0`) |
+
+Each package sets `root = ".."` in its `[tool.setuptools_scm]` table, meaning the
+version is read from the *repository root* rather than the package directory. A
+working build therefore needs all of the following:
+
+1. **A real git clone.** Source zips and GitHub "Download ZIP" archives have no
+   git metadata and the build fails outright. (Tarballs produced by
+   `git archive` do work, thanks to the `.git_archival.txt` substitutions
+   configured in `.gitattributes`.)
+2. **The full repository**, not just the package subdirectory, because the
+   version lookup walks up to the repository root.
+3. **Tags, reaching back at least as far as the most recent tag** matching the
+   package you are building. `git describe` needs to find that tag; the history
+   between it and your checkout must be present too.
+
+### Recommended clone
+
+The default `git clone` gives you everything you need:
+
+```console
+$ git clone https://github.com/NVIDIA/cuda-python.git
+```
+
+
+
+### Fixing an existing clone
+
+If you already have a shallow clone:
+
+```console
+$ git fetch --unshallow --tags
+```
+
+If you are working from a personal fork, your fork's tags stop tracking upstream
+the moment new releases are cut, which silently yields a stale version. Fetch
+tags from upstream directly:
+
+```console
+$ git remote add upstream https://github.com/NVIDIA/cuda-python.git
+$ git fetch --tags upstream
+```
+
+Keep doing this periodically — a fork that was correct when you created it will
+drift.
+
+### Symptoms of a bad clone
+
+Only case 3 below reports an error. The first two fail *silently*, producing a
+wrong version that surfaces much later as a confusing dependency-resolution or
+version-check failure:
+
+1. **No tags reachable.** The build succeeds and produces a version starting at
+   `0.1.dev`: a `--depth 1` clone yields `0.1.dev1+g0d22cb444`, a full clone made
+   with `--no-tags` yields `0.1.dev2114+g0d22cb444`. Installing `cuda-python`
+   built this way then fails, because its `install_requires` pins
+   `cuda-bindings` to that same bogus version.
+2. **Stale tags** (a fork that has not fetched upstream in a while): you get a
+   plausible-looking but wrong version, e.g. `13.0.4.dev650+g0d22cb44` when the
+   real latest tag is `v13.3.1`. Nothing warns you. Note there is no leading
+   `v` — the tag prefix is stripped by `tag_regex`.
+3. **No git metadata** (source zip): the build fails with
+   `LookupError: setuptools-scm was unable to detect version`.
+
+As a last resort — for example when building inside a container that has no git
+history — you can bypass the lookup entirely:
+
+```console
+$ SETUPTOOLS_SCM_PRETEND_VERSION_FOR_CUDA_CORE=1.1.0 pip install ./cuda_core
+```
+
+The environment variable is suffixed with the distribution name, uppercased with
+hyphens replaced by underscores: `..._FOR_CUDA_BINDINGS`, `..._FOR_CUDA_CORE`,
+`..._FOR_CUDA_PATHFINDER`, `..._FOR_CUDA_PYTHON`. Use this only when you
+genuinely cannot provide tags; it is not a substitute for a correct clone.
+
+
 ## Type stubs for cuda.core
 
 `cuda.core` is a PEP 561-compliant package: it ships a `py.typed` marker and
@@ -74,6 +167,17 @@ between commits, leaving stale headers or out-of-date stubs in the history.
 If the hook isn't installed, `pre-commit run` (and CI) will print a visible
 warning reminding you to run `pre-commit install`.
 
+### Pre-commit on Windows
+
+For development on Windows (not WSL), the `lychee` pre-commit task will not work
+when running `pre-commit run --all-files`.  This problem does not occur if you
+install the pre-commit hook and run it automatically as part of your `git
+commit` workflow.  To resolve this, you can either:
+
+1. Run `pre-commit` in Git Bash, rather than directly in PowerShell or cmd
+
+2. Skip it by setting the environment variable `SKIP` to `lychee`.  This would
+   be `$env:SKIP = "lychee"` in PowerShell or `set SKIP=lychee` in cmd.
 
 ## Signing Your Work
 
diff --git a/README.md b/README.md
index 782f04269ad..10d0bc6a0cf 100644
--- a/README.md
+++ b/README.md
@@ -10,7 +10,7 @@ CUDA Python is the home for accessing NVIDIA’s CUDA platform from Python. It c
 * [numba.cuda](https://nvidia.github.io/numba-cuda/): A Python DSL that exposes CUDA **SIMT** programming model and compiles a restricted subset of Python code into CUDA kernels and device functions
 * [cuda.tile](https://docs.nvidia.com/cuda/cutile-python/): A new Python DSL that exposes CUDA **Tile** programming model and allows users to write NumPy-like code in CUDA kernels
 * [nvmath-python](https://docs.nvidia.com/cuda/nvmath-python/latest): Pythonic access to NVIDIA CPU & GPU Math Libraries, with [*host*](https://docs.nvidia.com/cuda/nvmath-python/latest/overview.html#host-apis), [*device*](https://docs.nvidia.com/cuda/nvmath-python/latest/overview.html#device-apis), and [*distributed*](https://docs.nvidia.com/cuda/nvmath-python/latest/distributed-apis/index.html) APIs. It also provides low-level Python bindings to host C APIs ([nvmath.bindings](https://docs.nvidia.com/cuda/nvmath-python/latest/bindings/index.html)).
-* [nvshmem4py](https://docs.nvidia.com/nvshmem/api/api/language_bindings/python/index.html): Pythonic interface to the NVSHMEM library, enabling Python applications to leverage NVSHMEM's high-performance PGAS (Partitioned Global Address Space) programming model for GPU-accelerated computing
+* [nvshmem4py](https://docs.nvidia.com/nvshmem/api/latest/api/language_bindings/python/index.html): Pythonic interface to the NVSHMEM library, enabling Python applications to leverage NVSHMEM's high-performance PGAS (Partitioned Global Address Space) programming model for GPU-accelerated computing
 * [Nsight Python](https://docs.nvidia.com/nsight-python/index.html): Python kernel profiling interface that automates performance analysis across multiple kernel configurations using NVIDIA Nsight Tools
 * [CUPTI Python](https://docs.nvidia.com/cupti-python/): Python APIs for creation of profiling tools that target CUDA Python applications via the CUDA Profiling Tools Interface (CUPTI)
 * [Accelerated Computing Hub](https://github.com/NVIDIA/accelerated-computing-hub): Open-source learning materials related to GPU computing. You will find user guides, tutorials, and other works freely available for all learners interested in GPU computing.
diff --git a/ci/test-matrix.yml b/ci/test-matrix.yml
index 8e88525d0f7..8e859af1576 100644
--- a/ci/test-matrix.yml
+++ b/ci/test-matrix.yml
@@ -130,6 +130,7 @@ windows:
     - { ARCH: 'amd64', PY_VER: '3.14t', CUDA_VER: '12.9.1', LOCAL_CTK: '1', GPU: 'l4',         GPU_COUNT: '1', DRIVER: 'latest',  DRIVER_MODE: 'TCC' }
     - { ARCH: 'amd64', PY_VER: '3.14t', CUDA_VER: '13.0.2', LOCAL_CTK: '0', GPU: 'a100',       GPU_COUNT: '1', DRIVER: 'latest',  DRIVER_MODE: 'MCDM' }
     - { ARCH: 'amd64', PY_VER: '3.14t', CUDA_VER: '13.3.0', LOCAL_CTK: '0', GPU: 'a100',       GPU_COUNT: '1', DRIVER: 'latest',  DRIVER_MODE: 'MCDM' }
+    - { ARCH: 'amd64', PY_VER: '3.15',  CUDA_VER: '13.3.0', LOCAL_CTK: '0', GPU: 'l4',         GPU_COUNT: '1', DRIVER: 'latest',  DRIVER_MODE: 'MCDM' }
     # special runners
     - { ARCH: 'amd64', PY_VER: '3.14',  CUDA_VER: '13.3.0', LOCAL_CTK: '1', GPU: 't4',         GPU_COUNT: '2', DRIVER: 'latest',  DRIVER_MODE: 'TCC' }
     - { ARCH: 'amd64', PY_VER: '3.14',  CUDA_VER: '13.3.0', LOCAL_CTK: '0', GPU: 'h100',       GPU_COUNT: '2', DRIVER: 'latest',  DRIVER_MODE: 'MCDM' }
diff --git a/ci/tools/check_mempool_hygiene.py b/ci/tools/check_mempool_hygiene.py
new file mode 100644
index 00000000000..b200aba1ebb
--- /dev/null
+++ b/ci/tools/check_mempool_hygiene.py
@@ -0,0 +1,113 @@
+# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+
+"""Check that tests do not create uncapped CUDA memory pools.
+
+A pool created without ``max_size`` reserves an address-space window sized from
+installed device memory rather than from what the test allocates, and the whole
+cuda_core suite shares one process. Enough of those reservations exhaust the
+address space, after which the rest of the session fails with
+CUDA_ERROR_OUT_OF_MEMORY on a device with free physical memory.
+
+See cuda_core/tests/AGENTS.md for the rule this enforces.
+"""
+
+from __future__ import annotations
+
+import argparse
+import ast
+import sys
+from pathlib import Path
+
+ROOT = Path(__file__).resolve().parents[2]
+DEFAULT_TREE = ROOT / "cuda_core" / "tests"
+
+# Managed pools cannot be right-sized: cuMemPoolCreate requires maxSize == 0 for
+# managed pools, so ManagedMemoryResourceOptions has no max_size to set.
+CAPPABLE_OPTIONS = frozenset({"DeviceMemoryResourceOptions", "PinnedMemoryResourceOptions"})
+CAPPABLE_RESOURCES = frozenset({"DeviceMemoryResource", "PinnedMemoryResource"})
+
+OPT_OUT_MARKER = "uncapped-pool-ok"
+
+
+def _callee_name(node: ast.Call) -> str:
+    func = node.func
+    if isinstance(func, ast.Attribute):
+        return func.attr
+    if isinstance(func, ast.Name):
+        return func.id
+    return ""
+
+
+def _is_capped(node: ast.Call) -> bool:
+    # ``**kwargs`` (arg is None) may carry max_size; do not guess.
+    return any(kw.arg is None or kw.arg == "max_size" for kw in node.keywords)
+
+
+def _dict_is_capped(node: ast.Dict) -> bool:
+    for key in node.keys:
+        if key is None:  # ``**other`` inside the literal
+            return True
+        if isinstance(key, ast.Constant) and key.value == "max_size":
+            return True
+    return False
+
+
+def _opted_out(lines: list[str], node: ast.AST) -> bool:
+    """True if the call, or the line above it, carries the opt-out marker."""
+    start = max(node.lineno - 2, 0)  # -1 for 0-based, -1 more for a preceding comment
+    end = getattr(node, "end_lineno", node.lineno)
+    return any(OPT_OUT_MARKER in line for line in lines[start:end])
+
+
+def violations_in(path: Path) -> list[str]:
+    """Return one message per uncapped pool construction in ``path``."""
+    source = path.read_text(encoding="utf-8")
+    lines = source.splitlines()
+    found = []
+    for node in ast.walk(ast.parse(source, filename=str(path))):
+        if not isinstance(node, ast.Call):
+            continue
+        name = _callee_name(node)
+        if name in CAPPABLE_OPTIONS:
+            uncapped = not _is_capped(node)
+        elif name in CAPPABLE_RESOURCES:
+            # The options may also be given as a dict literal.
+            dicts = [arg for arg in [*node.args, *(kw.value for kw in node.keywords)] if isinstance(arg, ast.Dict)]
+            uncapped = any(not _dict_is_capped(d) for d in dicts)
+        else:
+            continue
+        if uncapped and not _opted_out(lines, node):
+            found.append(f"{path.as_posix()}:{node.lineno}: {name} without max_size")
+    return found
+
+
+def main(argv: list[str] | None = None) -> int:
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument(
+        "paths",
+        nargs="*",
+        type=Path,
+        help=f"Files to check. Defaults to every .py under {DEFAULT_TREE.relative_to(ROOT).as_posix()}.",
+    )
+    args = parser.parse_args(argv)
+
+    paths = args.paths or sorted(DEFAULT_TREE.rglob("*.py"))
+    violations = sorted(v for path in paths if path.suffix == ".py" for v in violations_in(path))
+    if not violations:
+        return 0
+
+    print("error: memory pools created by tests must set max_size:", file=sys.stderr)
+    for violation in violations:
+        print(f"  - {violation}", file=sys.stderr)
+    print(
+        f"Use the suite-wide POOL_SIZE from cuda_core/tests/helpers/constants.py, or annotate a\n"
+        f"deliberate exception with a '# {OPT_OUT_MARKER}: <reason>' comment.\n"
+        f"See cuda_core/tests/AGENTS.md.",
+        file=sys.stderr,
+    )
+    return 1
+
+
+if __name__ == "__main__":
+    sys.exit(main())
diff --git a/ci/tools/check_pixi_cuda_version.py b/ci/tools/check_pixi_cuda_version.py
new file mode 100644
index 00000000000..1ca931b9b48
--- /dev/null
+++ b/ci/tools/check_pixi_cuda_version.py
@@ -0,0 +1,91 @@
+# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+
+"""Check pixi cuda-version pins track ci/versions.yml (cuda.build.version)."""
+
+from __future__ import annotations
+
+import sys
+from pathlib import Path
+
+import tomllib
+import yaml
+
+ROOT = Path(__file__).resolve().parents[2]
+VERSIONS_FILE_PATH = ROOT / "ci" / "versions.yml"
+PIXI_FILES = [ROOT / d / "pixi.toml" for d in ("cuda_bindings", "cuda_core")]
+
+
+def main() -> int:
+    """Verify cuda_bindings/cuda_core pixi pins match ci/versions.yml."""
+    if not VERSIONS_FILE_PATH.is_file():
+        print(f"error: {VERSIONS_FILE_PATH} not found", file=sys.stderr)
+        return 2
+    try:
+        build_version = yaml.safe_load(VERSIONS_FILE_PATH.read_text(encoding="utf-8"))["cuda"]["build"]["version"]
+    except (KeyError, TypeError):
+        print(f"error: cuda.build.version not found in {VERSIONS_FILE_PATH}", file=sys.stderr)
+        return 2
+
+    major, minor, *_ = build_version.split(".")
+    expected = f"{major}.{minor}.*"
+    cuda_feature = f"cu{major}"
+
+    errors: list[str] = []
+    checked: list[str] = []
+    for path in PIXI_FILES:
+        if not path.is_file():
+            print(f"error: {path} not found", file=sys.stderr)
+            return 2
+        with path.open("rb") as f:
+            data = tomllib.load(f)
+        rel = path.relative_to(ROOT)
+        try:
+            variants = data["workspace"]["build-variants"]["cuda-version"]
+            cuda_pin = data["feature"][cuda_feature]["dependencies"]["cuda-version"]
+        except KeyError as exc:
+            print(
+                f"error: {rel} missing feature {cuda_feature!r} or cuda-version key: {exc}",
+                file=sys.stderr,
+            )
+            return 2
+        if expected not in variants:
+            errors.append(
+                f"{rel}: workspace.build-variants.cuda-version={variants!r} "
+                f"does not include {expected!r} "
+                f"(from ci/versions.yml cuda.build.version={build_version!r})"
+            )
+        if cuda_pin != expected:
+            errors.append(
+                f"{rel}: feature.{cuda_feature}.dependencies.cuda-version={cuda_pin!r} "
+                f"!= {expected!r} "
+                f"(from ci/versions.yml cuda.build.version={build_version!r})"
+            )
+
+        checked.append(
+            f"{rel} (workspace.build-variants.cuda-version={variants!r}, "
+            f"feature.{cuda_feature}.dependencies.cuda-version={cuda_pin!r})"
+        )
+
+    if errors:
+        print(
+            f"error: cuda_bindings/cuda_core pixi cuda-version pins out of sync with "
+            f"ci/versions.yml cuda.build.version={build_version!r} "
+            f"(expected pin {expected!r}):",
+            file=sys.stderr,
+        )
+        for err in errors:
+            print(f"  - {err}", file=sys.stderr)
+        return 1
+
+    print(
+        f"OK: pixi cuda-version pins match ci/versions.yml "
+        f"cuda.build.version={build_version!r} (expected pin {expected!r}):"
+    )
+    for item in checked:
+        print(f"  - {item}")
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())
diff --git a/ci/tools/merge_cuda_core_wheels.py b/ci/tools/merge_cuda_core_wheels.py
index c66a1bfa2a8..23a8a21289f 100644
--- a/ci/tools/merge_cuda_core_wheels.py
+++ b/ci/tools/merge_cuda_core_wheels.py
@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 
-# SPDX-FileCopyrightText: Copyright (c) 2024-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2024-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 #
 # SPDX-License-Identifier: Apache-2.0
 
@@ -27,10 +27,9 @@
 import tempfile
 import zipfile
 from pathlib import Path
-from typing import List
 
 
-def run_command(cmd: List[str], cwd: Path | None = None, env: dict = os.environ) -> subprocess.CompletedProcess:
+def run_command(cmd: list[str], cwd: Path | None = None, env: dict = os.environ) -> subprocess.CompletedProcess:
     """Run a command with error handling."""
     print(f"Running: {' '.join(cmd)}")
     if cwd:
@@ -78,7 +77,7 @@ def print_wheel_directory_structure(wheel_path: Path, filter_prefix: str = "cuda
         print(f"Warning: Could not list wheel contents: {e}", file=sys.stderr)
 
 
-def merge_wheels(wheels: List[Path], output_dir: Path, show_wheel_contents: bool = True) -> Path:
+def merge_wheels(wheels: list[Path], output_dir: Path, show_wheel_contents: bool = True) -> Path:
     """Merge multiple wheels into a single wheel with version-specific binaries."""
     print("\n=== Merging wheels ===", file=sys.stderr)
     print(f"Input wheels: {[w.name for w in wheels]}", file=sys.stderr)
diff --git a/ci/tools/run-tests b/ci/tools/run-tests
index c093ed9e4d2..f9cc5a9e870 100755
--- a/ci/tools/run-tests
+++ b/ci/tools/run-tests
@@ -36,7 +36,7 @@ if [[ "${test_module}" == "pathfinder" ]]; then
     "LD:${CUDA_PATHFINDER_TEST_LOAD_NVIDIA_DYNAMIC_LIB_STRICTNESS} " \
     "FH:${CUDA_PATHFINDER_TEST_FIND_NVIDIA_HEADERS_STRICTNESS} " \
     "BC:${CUDA_PATHFINDER_TEST_FIND_NVIDIA_BITCODE_LIB_STRICTNESS}"
-  pytest -ra -s -v --durations=0 tests/ |& tee /tmp/pathfinder_test_log.txt
+  pytest -ra -s -v tests/ |& tee /tmp/pathfinder_test_log.txt
   # Report the number of "INFO test_" lines (including zero)
   # to support quick validations based on GHA log archives.
   line_count=$(awk '/^INFO test_/ {count++} END {print count+0}' /tmp/pathfinder_test_log.txt)
@@ -51,9 +51,9 @@ elif [[ "${test_module}" == "bindings" ]]; then
     pip install $(ls "${CUDA_BINDINGS_ARTIFACTS_DIR}"/*.whl)[all] --group test
   fi
   echo "Running bindings tests"
-  ${SANITIZER_CMD} pytest -rxXs -v --durations=0 --randomly-dont-reorganize tests/
+  ${SANITIZER_CMD} pytest -rxXs -v --randomly-dont-reorganize tests/
   if [[ "${SKIP_CYTHON_TEST}" == 0 ]]; then
-    ${SANITIZER_CMD} pytest -rxXs -v --durations=0 --randomly-dont-reorganize tests/cython
+    ${SANITIZER_CMD} pytest -rxXs -v --randomly-dont-reorganize tests/cython
   fi
   popd
 elif [[ "${test_module}" == "core" || "${test_module}" == nightly-* ]]; then
@@ -105,11 +105,11 @@ elif [[ "${test_module}" == "core" || "${test_module}" == nightly-* ]]; then
     echo "Installed packages before core tests:"
     pip list
     echo "Running core tests"
-    ${SANITIZER_CMD} pytest -rxXs -v --durations=0 --randomly-dont-reorganize tests/
+    ${SANITIZER_CMD} pytest -rxXs -v --randomly-dont-reorganize tests/
     # Currently our CI always installs the latest bindings (from either major version).
     # This is not compatible with the test requirements.
     if [[ "${SKIP_CYTHON_TEST}" == 0 ]]; then
-      ${SANITIZER_CMD} pytest -rxXs -v --durations=0 --randomly-dont-reorganize tests/cython
+      ${SANITIZER_CMD} pytest -rxXs -v --randomly-dont-reorganize tests/cython
     fi
     popd
   elif [[ "${test_module}" == "nightly-cuda-core" ]]; then
diff --git a/ci/tools/tests/test_check_mempool_hygiene.py b/ci/tools/tests/test_check_mempool_hygiene.py
new file mode 100644
index 00000000000..5ff3562059b
--- /dev/null
+++ b/ci/tools/tests/test_check_mempool_hygiene.py
@@ -0,0 +1,96 @@
+# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+
+from __future__ import annotations
+
+import os
+import sys
+
+import pytest
+
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
+from check_mempool_hygiene import DEFAULT_TREE, main, violations_in
+
+
+def write(tmp_path, source):
+    path = tmp_path / "test_sample.py"
+    path.write_text(source, encoding="utf-8")
+    return path
+
+
+UNCAPPED = [
+    pytest.param("DeviceMemoryResource(dev, DeviceMemoryResourceOptions(ipc_enabled=True))", id="options-kwarg"),
+    pytest.param("PinnedMemoryResource(PinnedMemoryResourceOptions())", id="options-empty"),
+    pytest.param('DeviceMemoryResource(dev, {"ipc_enabled": True})', id="options-dict"),
+]
+
+CAPPED = [
+    pytest.param("DeviceMemoryResource(dev, DeviceMemoryResourceOptions(max_size=POOL_SIZE))", id="capped-kwarg"),
+    pytest.param('DeviceMemoryResource(dev, {"max_size": POOL_SIZE})', id="capped-dict"),
+    pytest.param("DeviceMemoryResource(dev, DeviceMemoryResourceOptions(**opts))", id="opaque-kwargs"),
+    # No options at all wraps the device's default pool and reserves nothing, so
+    # capping it would convert a free wrapper into a new pool.
+    pytest.param("DeviceMemoryResource(dev)", id="default-pool-wrapper"),
+    # cuMemPoolCreate requires maxSize == 0 for managed pools, so these have no
+    # max_size to set.
+    pytest.param("ManagedMemoryResource(ManagedMemoryResourceOptions(preferred_location=0))", id="managed-exempt"),
+]
+
+
+@pytest.mark.agent_authored(model="claude-opus-5")
+@pytest.mark.parametrize("source", UNCAPPED)
+def test_uncapped_pool_is_reported(tmp_path, source):
+    assert violations_in(write(tmp_path, source))
+
+
+@pytest.mark.agent_authored(model="claude-opus-5")
+@pytest.mark.parametrize("source", CAPPED)
+def test_acceptable_construction_is_not_reported(tmp_path, source):
+    assert violations_in(write(tmp_path, source)) == []
+
+
+@pytest.mark.agent_authored(model="claude-opus-5")
+@pytest.mark.parametrize("comment_line", [0, 1], ids=["marker-above", "marker-inline"])
+def test_marker_opts_a_call_out(tmp_path, comment_line):
+    # The escape hatch exists mainly for pytest.raises cases, where validation
+    # rejects the arguments before any pool is created.
+    call = "PinnedMemoryResource(PinnedMemoryResourceOptions())"
+    marker = "# uncapped-pool-ok: raises before the pool is created"
+    source = f"{marker}\n{call}" if comment_line == 0 else f"{call}  {marker}"
+
+    assert violations_in(write(tmp_path, source)) == []
+
+
+@pytest.mark.agent_authored(model="claude-opus-5")
+def test_reported_message_names_file_line_and_symbol(tmp_path):
+    path = write(tmp_path, "x = 1\nDeviceMemoryResource(dev, DeviceMemoryResourceOptions())\n")
+
+    (violation,) = violations_in(path)
+
+    assert violation.startswith(path.as_posix())
+    assert ":2:" in violation
+    assert "DeviceMemoryResourceOptions without max_size" in violation
+
+
+@pytest.mark.agent_authored(model="claude-opus-5")
+def test_main_reports_failure_for_the_files_it_is_given(tmp_path, capsys):
+    path = write(tmp_path, "DeviceMemoryResource(dev, DeviceMemoryResourceOptions())")
+
+    assert main([str(path)]) == 1
+    assert "must set max_size" in capsys.readouterr().err
+
+
+@pytest.mark.agent_authored(model="claude-opus-5")
+def test_main_ignores_non_python_files(tmp_path):
+    unrelated = tmp_path / "notes.txt"
+    unrelated.write_text("DeviceMemoryResourceOptions()", encoding="utf-8")
+
+    assert main([str(unrelated)]) == 0
+
+
+@pytest.mark.agent_authored(model="claude-opus-5")
+def test_the_live_test_suite_is_clean():
+    # Without a default the hook would only ever see changed files, so a
+    # violation could ride in on a rename or a merge.
+    assert DEFAULT_TREE.is_dir()
+    assert main([]) == 0
diff --git a/cuda_bindings/build_hooks.py b/cuda_bindings/build_hooks.py
index a50133f9777..99ad5c66268 100644
--- a/cuda_bindings/build_hooks.py
+++ b/cuda_bindings/build_hooks.py
@@ -16,6 +16,7 @@
 import sys
 import sysconfig
 import tempfile
+from pathlib import Path
 from warnings import warn
 
 from setuptools import build_meta as _build_meta
@@ -50,9 +51,9 @@ def _import_get_cuda_path_or_home():
             cuda = None
 
         for p in sys.path:
-            sp_cuda = os.path.join(p, "cuda")
-            if os.path.isdir(os.path.join(sp_cuda, "pathfinder")):
-                cuda.__path__ = list(cuda.__path__) + [sp_cuda]
+            sp_cuda = Path(p) / "cuda"
+            if (sp_cuda / "pathfinder").is_dir():
+                cuda.__path__ = list(cuda.__path__) + [str(sp_cuda)]
                 break
         else:
             raise ModuleNotFoundError(
@@ -61,6 +62,11 @@ def _import_get_cuda_path_or_home():
             )
         import cuda.pathfinder
 
+    pathfinder_dir = Path(cuda.pathfinder.__file__).parent
+    print(
+        f"Using cuda-pathfinder {cuda.pathfinder.__version__} from {pathfinder_dir}",
+        file=sys.stderr,
+    )
     return cuda.pathfinder.get_cuda_path_or_home
 
 
diff --git a/cuda_bindings/cuda/bindings/_test_helpers/__init__.py b/cuda_bindings/cuda/bindings/_test_helpers/__init__.py
deleted file mode 100644
index 2cfab242d2a..00000000000
--- a/cuda_bindings/cuda/bindings/_test_helpers/__init__.py
+++ /dev/null
@@ -1,6 +0,0 @@
-# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
-# SPDX-License-Identifier: Apache-2.0
-
-
-# This package contains test helper utilities that may also be useful for other libraries outside of `cuda.bindings`,
-# such as `cuda.core`. These utilities are not part of the public API of `cuda.bindings` and may change without notice.
diff --git a/cuda_bindings/cuda/bindings/_test_helpers/arch_check.py b/cuda_bindings/cuda/bindings/_test_helpers/arch_check.py
deleted file mode 100644
index 7f35f006c36..00000000000
--- a/cuda_bindings/cuda/bindings/_test_helpers/arch_check.py
+++ /dev/null
@@ -1,71 +0,0 @@
-# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
-# SPDX-License-Identifier: Apache-2.0
-
-
-from contextlib import contextmanager
-from functools import cache
-
-import pytest
-
-from cuda.bindings import nvml
-from cuda.bindings._internal.utils import FunctionNotFoundError as NvmlSymbolNotFoundError
-
-
-@cache
-def hardware_supports_nvml():
-    """
-    Tries to call the simplest NVML API possible to see if just the basics
-    works.  If not we are probably on one of the platforms where NVML is not
-    supported at all (e.g. Jetson Orin).
-    """
-    nvml.init_v2()
-    try:
-        nvml.system_get_driver_branch()
-    except (nvml.NotSupportedError, nvml.UnknownError):
-        return False
-    else:
-        return True
-    finally:
-        nvml.shutdown()
-
-
-@contextmanager
-def unsupported_before(device: int, expected_device_arch: nvml.DeviceArch | str | None):
-    device_arch = nvml.device_get_architecture(device)
-
-    if isinstance(expected_device_arch, nvml.DeviceArch):
-        expected_device_arch_int = int(expected_device_arch)
-    elif expected_device_arch == "FERMI":
-        expected_device_arch_int = 1
-    else:
-        expected_device_arch_int = 0
-
-    if expected_device_arch is None or expected_device_arch == "HAS_INFOROM" or device_arch == nvml.DeviceArch.UNKNOWN:
-        # In this case, we don't /know/ if it will fail, but we are ok if it
-        # does or does not.
-
-        # TODO: There are APIs that are documented as supported only if the
-        # device has an InfoROM, but I couldn't find a way to detect that.  For
-        # now, they are just handled as "possibly failing".
-
-        try:
-            yield
-        except (nvml.NotSupportedError, nvml.FunctionNotFoundError, NvmlSymbolNotFoundError):
-            # The API call raised NotSupportedError, NVML status FunctionNotFoundError,
-            # or NvmlSymbolNotFoundError (symbol absent from the loaded NVML DLL), so we
-            # skip the test but don't fail it
-            try:
-                name = nvml.DeviceArch(device_arch).name
-            except ValueError:
-                name = f"UNKNOWN({device_arch})"
-            pytest.skip(f"Unsupported call for device architecture {name} on device '{nvml.device_get_name(device)}'")
-        # If the API call worked, just continue
-    elif int(device_arch) < expected_device_arch_int:
-        # In this case, we /know/ if will fail, and we want to assert that it does.
-        with pytest.raises(nvml.NotSupportedError):
-            yield
-        # The above call was unsupported, so the rest of the test is skipped
-        pytest.skip(f"Unsupported before {expected_device_arch.name}, got {nvml.device_get_name(device)}")
-    else:
-        # In this case, we /know/ it should work, and if it fails, the test should fail.
-        yield
diff --git a/cuda_bindings/docs/source/install.rst b/cuda_bindings/docs/source/install.rst
index 7f890365ea3..d77464ec91f 100644
--- a/cuda_bindings/docs/source/install.rst
+++ b/cuda_bindings/docs/source/install.rst
@@ -120,11 +120,14 @@ Requirements
 
 * CUDA Toolkit headers[^1]
 * CUDA Runtime static library[^2]
+* A git clone of the repository that includes tags[^3]
 
 [^1]: User projects that ``cimport`` CUDA symbols in Cython must also use CUDA Toolkit (CTK) types as provided by the ``cuda.bindings`` major.minor version. This results in CTK headers becoming a transitive dependency of downstream projects through CUDA Python.
 
 [^2]: The CUDA Runtime static library (``libcudart_static.a`` on Linux, ``cudart_static.lib`` on Windows) is part of the CUDA Toolkit. If using conda packages, it is contained in the ``cuda-cudart-static`` package.
 
+[^3]: The version is derived from git tags via ``setuptools-scm``, so the clone must include tags reaching back to at least the latest ``v*`` tag. Clone with ``git clone https://github.com/NVIDIA/cuda-python.git``; do not use ``--depth`` or ``--no-tags``, since a shallow clone builds without error but produces a bogus version such as ``0.1.dev1+g0d22cb444``. See `Cloning the repository <https://github.com/NVIDIA/cuda-python/blob/main/CONTRIBUTING.md>`_ for details and recovery steps.
+
 Source builds require that the provided CUDA headers are of the same major.minor version as the ``cuda.bindings`` you're trying to build. Despite this requirement, note that the minor version compatibility is still maintained. Use the ``CUDA_PATH`` (or ``CUDA_HOME``) environment variable to specify the location of your headers. If both are set, ``CUDA_PATH`` takes precedence. For example, if your headers are located in ``/usr/local/cuda/include``, then you should set ``CUDA_PATH`` with:
 
 .. code-block:: console
diff --git a/cuda_bindings/pixi.lock b/cuda_bindings/pixi.lock
index 65cb1f78793..81e0045322d 100644
--- a/cuda_bindings/pixi.lock
+++ b/cuda_bindings/pixi.lock
@@ -20,6 +20,8 @@ environments:
   cu12:
     channels:
     - url: https://conda.anaconda.org/conda-forge/
+    indexes:
+    - https://pypi.org/simple
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
@@ -37,7 +39,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvvm-impl-12.9.86-h4bc722e_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvvm-tools-12.9.86-h4bc722e_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-profiler-api-12.9.79-h7938cbb_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cython-3.2.4-py314h1807b08_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cython-3.2.8-py314h1807b08_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/dav1d-1.2.1-hd590300_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/dbus-1.16.2-h24cb091_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ffmpeg-8.0.1-gpl_hcddb375_914.conda
@@ -77,15 +79,15 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libflac-1.5.0-he200343_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libfreetype-2.14.2-ha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libfreetype6-2.14.2-h73754d4_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-15.2.0-he0feb66_18.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-15.2.0-h69a702a_18.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-16.1.0-ha9f2e26_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-16.1.0-h69a702a_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-15.2.0-h69a702a_18.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-15.2.0-h68bc16d_18.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libgl-1.7.0-ha4b6fd6_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libglib-2.86.4-h6548e54_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libglvnd-1.7.0-ha4b6fd6_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libglx-1.7.0-ha4b6fd6_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.2.0-he0feb66_18.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-16.1.0-he0feb66_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libhwloc-2.12.2-default_hafda6a7_1000.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libhwy-1.3.0-h4c17acf_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.18-h3b78370_2.conda
@@ -120,8 +122,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libsanitizer-15.2.0-h90f66d4_18.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libsndfile-1.2.2-hc7d488a_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.52.0-hf4e2dac_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-15.2.0-h934c35e_18.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-15.2.0-hdf11a46_18.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-16.1.0-h934c35e_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-16.1.0-hdf11a46_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libsystemd0-257.10-hd0affe5_4.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.1-h9d88235_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libudev1-257.10-hd0affe5_4.conda
@@ -220,8 +222,9 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2025c-hc9c84f9_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/wayland-protocols-1.47-hd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.23.0-pyhcf101f3_1.conda
-      - conda_source: cuda-bindings[04818863] @ .
-      - conda_source: cuda-pathfinder[83159de6] @ ../cuda_pathfinder
+      - conda_source: cuda-bindings[595e6447] @ .
+      - conda_source: cuda-pathfinder[9139f4b4] @ ../cuda_pathfinder
+      - pypi: ../cuda_python_test_helpers
       linux-aarch64:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/_openmp_mutex-4.5-20_gnu.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/alsa-lib-1.2.15.3-he30d5cf_0.conda
@@ -238,7 +241,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-nvvm-impl-12.9.86-h7b14b0b_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-nvvm-tools-12.9.86-h7b14b0b_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-profiler-api-12.9.79-h16bee8c_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cython-3.2.4-py314h4c416a3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cython-3.2.8-py314hc6b4731_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/dav1d-1.2.1-h31becfc_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/dbus-1.16.2-h70963c4_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ffmpeg-8.0.1-gpl_h62efc85_914.conda
@@ -275,15 +278,15 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libflac-1.5.0-he9c94f4_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libfreetype-2.14.2-h8af1aa0_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libfreetype6-2.14.2-hdae7a39_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgcc-15.2.0-h8acb6b2_18.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgcc-ng-15.2.0-he9431aa_18.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgcc-16.1.0-h205dda4_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgcc-ng-16.1.0-he9431aa_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgfortran-15.2.0-he9431aa_18.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgfortran5-15.2.0-h1b7bec0_18.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgl-1.7.0-hd24410f_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libglib-2.86.4-hf53f6bf_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libglvnd-1.7.0-hd24410f_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libglx-1.7.0-hd24410f_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgomp-15.2.0-h8acb6b2_18.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgomp-16.1.0-h8acb6b2_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libhwloc-2.12.2-default_ha470c98_1000.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libhwy-1.3.0-h81d0cf9_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libiconv-1.18-h90929bb_2.conda
@@ -316,8 +319,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsanitizer-15.2.0-he19c465_18.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsndfile-1.2.2-h30591a0_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsqlite-3.52.0-h10b116e_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libstdcxx-15.2.0-hef695bb_18.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libstdcxx-ng-15.2.0-hdbbeba8_18.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.23.0-pyhcf101f3_1.conda
-      - conda_source: cuda-bindings[748b2e6f] @ .
-      - conda_source: cuda-pathfinder[4dfff30f] @ ../cuda_pathfinder
+      - conda_source: cuda-bindings[cb9a5e74] @ .
+      - conda_source: cuda-pathfinder[fa19867f] @ ../cuda_pathfinder
+      - pypi: ../cuda_python_test_helpers
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       - conda: https://conda.anaconda.org/conda-forge/win-64/dav1d-1.2.1-hcfcfb64_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-h534d264_6.conda
-      - conda_source: cuda-bindings[341f49d8] @ .
-      - conda_source: cuda-pathfinder[169735b8] @ ../cuda_pathfinder
+      - conda_source: cuda-bindings[38bd5059] @ .
+      - conda_source: cuda-pathfinder[15190cc4] @ ../cuda_pathfinder
+      - pypi: ../cuda_python_test_helpers
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     channels:
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+    indexes:
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/libsystemd0-257.13-h084b8d7_1.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.23.0-pyhcf101f3_1.conda
-      - conda_source: cuda-bindings[5987685b] @ .
-      - conda_source: cuda-pathfinder[83159de6] @ ../cuda_pathfinder
+      - conda_source: cuda-bindings[33376fba] @ .
+      - conda_source: cuda-pathfinder[9139f4b4] @ ../cuda_pathfinder
+      - pypi: ../cuda_python_test_helpers
       linux-aarch64:
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       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/alsa-lib-1.2.15.1-he30d5cf_0.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cython-3.2.4-py314h4c416a3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cython-3.2.8-py314hc6b4731_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/dav1d-1.2.1-h31becfc_0.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgomp-15.2.0-h8acb6b2_16.conda
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@@ -933,8 +941,9 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2025c-hc9c84f9_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.23.0-pyhcf101f3_1.conda
-      - conda_source: cuda-bindings[d33f8c8b] @ .
-      - conda_source: cuda-pathfinder[4dfff30f] @ ../cuda_pathfinder
+      - conda_source: cuda-bindings[9909e402] @ .
+      - conda_source: cuda-pathfinder[fa19867f] @ ../cuda_pathfinder
+      - pypi: ../cuda_python_test_helpers
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       - conda: https://conda.anaconda.org/conda-forge/win-64/dav1d-1.2.1-hcfcfb64_0.conda
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@@ -1066,11 +1075,14 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-h534d264_6.conda
-      - conda_source: cuda-bindings[8de8dc46] @ .
-      - conda_source: cuda-pathfinder[169735b8] @ ../cuda_pathfinder
+      - conda_source: cuda-bindings[943c652a] @ .
+      - conda_source: cuda-pathfinder[15190cc4] @ ../cuda_pathfinder
+      - pypi: ../cuda_python_test_helpers
   default:
     channels:
     - url: https://conda.anaconda.org/conda-forge/
+    indexes:
+    - https://pypi.org/simple
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
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-      - conda_source: cuda-bindings[5987685b] @ .
-      - conda_source: cuda-pathfinder[83159de6] @ ../cuda_pathfinder
+      - conda_source: cuda-bindings[595e6447] @ .
+      - conda_source: cuda-pathfinder[9139f4b4] @ ../cuda_pathfinder
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-  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.0-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.1-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.1-pyhcf101f3_0.conda
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   - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.2-pyhcf101f3_0.conda
-  - conda_source: cuda-pathfinder[83159de6] @ ../cuda_pathfinder
-- conda_source: cuda-bindings[341f49d8] @ .
+  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.3-pyhcf101f3_0.conda
+  - conda_source: cuda-pathfinder[9139f4b4] @ ../cuda_pathfinder
+- conda_source: cuda-bindings[38bd5059] @ .
   variants:
     c_compiler: vs2022
     cuda_version: 12.*
@@ -16546,9 +17183,9 @@ packages:
       path: ../cuda_pathfinder
   build_packages:
   - conda: https://conda.anaconda.org/conda-forge/noarch/vswhere-3.1.7-h40126e0_1.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/vs2022_win-64-19.44.35207-ha74f236_39.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/vs2022_win-64-19.44.35207-ha74f236_41.conda
   host_packages:
-  - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.6.17-h4c7d964_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.7.22-h4c7d964_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cccl_win-64-12.9.27-h57928b3_0.conda
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   - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-dev_win-64-12.9.79-he0c23c2_0.conda
@@ -16556,15 +17193,15 @@ packages:
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   - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-nvvm-dev_win-64-12.9.86-h57928b3_2.conda
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-  - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-26.2-pyhc364b38_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-26.3-pyhc364b38_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.14-8_cp314.conda
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-  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.0-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.1-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.1-pyhcf101f3_0.conda
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-  - conda: https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-h0ad9c76_9.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.3-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-h0ad9c76_10.conda
   - conda: https://conda.anaconda.org/conda-forge/win-64/cuda-cudart-12.9.79-he0c23c2_0.conda
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@@ -16574,28 +17211,28 @@ packages:
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-  - conda: https://conda.anaconda.org/conda-forge/win-64/cython-3.2.8-py314h344ed54_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/cython-3.2.9-py314h344ed54_0.conda
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-  - conda: https://conda.anaconda.org/conda-forge/win-64/python-3.14.6-h4b44e0e_100_cp314.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.53.4-hf5d6505_0.conda
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-  - conda: https://conda.anaconda.org/conda-forge/win-64/vcomp14-14.51.36231-h1b9f54f_39.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/uv-0.12.2-h7ca4a90_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/vc-14.5-ha367084_41.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.51.36247-habf1de7_41.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/vcomp14-14.51.36247-habf1de7_41.conda
   - conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-h534d264_6.conda
-  - conda_source: cuda-pathfinder[169735b8] @ ../cuda_pathfinder
-- conda_source: cuda-bindings[5987685b] @ .
+  - conda_source: cuda-pathfinder[15190cc4] @ ../cuda_pathfinder
+- conda_source: cuda-bindings[595e6447] @ .
   variants:
     c_stdlib: sysroot
     c_stdlib_version: '2.28'
-    cuda_version: 13.3.*
+    cuda_version: 12.*
     python: 3.14.*
     target_platform: linux-64
   depends:
@@ -16605,14 +17242,14 @@ packages:
   - cuda-pathfinder
   - libnvjitlink
   - cuda-nvrtc
-  - cuda-nvrtc >=13.3.33,<14.0a0
+  - cuda-nvrtc >=12.9.86,<13.0a0
   - cuda-nvvm
   - libnvfatbin
   - libcufile
-  - libcufile >=1.18.1.6,<2.0a0
-  - libgcc >=15
-  - libgcc >=15
-  - libstdcxx >=15
+  - libcufile >=1.14.1.1,<2.0a0
+  - libgcc >=16
+  - libgcc >=16
+  - libstdcxx >=16
   - __glibc >=2.28,<3.0.a0
   - python_abi 3.14.* *_cp314
   license: Apache-2.0
@@ -16623,183 +17260,79 @@ packages:
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-  - conda: https://conda.anaconda.org/conda-forge/linux-64/gxx_linux-64-15.2.0-hcb00b6d_27.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/gcc_impl_linux-64-16.1.0-h5fcb69b_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/gcc_linux-64-16.1.0-h5fd2508_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/gxx_impl_linux-64-16.1.0-he33a5f8_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/gxx_linux-64-16.1.0-h5525346_0.conda
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-  - conda_source: cuda-pathfinder[83159de6] @ ../cuda_pathfinder
-- conda_source: cuda-bindings[748b2e6f] @ .
-  variants:
-    c_stdlib: sysroot
-    c_stdlib_version: '2.28'
-    cuda_version: 12.*
-    python: 3.14.*
-    target_platform: linux-aarch64
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-  - python >=3.10
-  - cuda-version
-  - cuda-pathfinder
-  - libnvjitlink
-  - cuda-nvrtc
-  - cuda-nvrtc >=12.9.86,<13.0a0
-  - cuda-nvvm
-  - libnvfatbin
-  - libcufile
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-  - libgcc >=15
-  - libgcc >=15
-  - libstdcxx >=15
-  - __glibc >=2.28,<3.0.a0
-  - python_abi 3.14.* *_cp314
-  license: Apache-2.0
-  source_depends:
-    cuda-pathfinder:
-      path: ../cuda_pathfinder
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+  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-crt-dev_linux-64-12.9.86-ha770c72_2.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-dev_linux-64-12.9.79-h3f2d84a_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-static_linux-64-12.9.79-h3f2d84a_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart_linux-64-12.9.79-h3f2d84a_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-nvvm-dev_linux-64-12.9.86-ha770c72_2.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-12.9-h4f385c5_3.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-26.2-pyhc364b38_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-26.3-pyhc364b38_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.14-8_cp314.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-83.0.0-pyh332efcf_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.0-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.1-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.1-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.16.0-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.2-pyhcf101f3_0.conda
-  - conda_source: cuda-pathfinder[4dfff30f] @ ../cuda_pathfinder
-- conda_source: cuda-bindings[8de8dc46] @ .
+  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.3-pyhcf101f3_0.conda
+  - conda_source: cuda-pathfinder[9139f4b4] @ ../cuda_pathfinder
+- conda_source: cuda-bindings[943c652a] @ .
   variants:
     c_compiler: vs2022
     cuda_version: 13.3.*
@@ -16826,25 +17359,25 @@ packages:
       path: ../cuda_pathfinder
   build_packages:
   - conda: https://conda.anaconda.org/conda-forge/noarch/vswhere-3.1.7-h40126e0_1.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/vs2022_win-64-19.44.35207-ha74f236_39.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/vs2022_win-64-19.44.35207-ha74f236_41.conda
   host_packages:
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-  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cccl_win-64-13.3.3.4.1-h57928b3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.7.22-h4c7d964_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cccl_win-64-13.3.3.4.1-h57928b3_1.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-crt-dev_win-64-13.3.73-h57928b3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-dev_win-64-13.3.29-hac47afa_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-static_win-64-13.3.29-hac47afa_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart_win-64-13.3.29-hac47afa_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-nvvm-dev_win-64-13.3.73-h57928b3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-13.3-hcbadf70_3.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-26.2-pyhc364b38_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-26.3-pyhc364b38_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.14-8_cp314.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-83.0.0-pyh332efcf_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.0-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.1-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.1-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.16.0-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.2-pyhcf101f3_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-h0ad9c76_9.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.3-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-h0ad9c76_10.conda
   - conda: https://conda.anaconda.org/conda-forge/win-64/cuda-cudart-13.3.29-hac47afa_0.conda
   - conda: https://conda.anaconda.org/conda-forge/win-64/cuda-cudart-dev-13.3.29-hac47afa_0.conda
   - conda: https://conda.anaconda.org/conda-forge/win-64/cuda-cudart-static-13.3.29-hac47afa_0.conda
@@ -16854,24 +17387,24 @@ packages:
   - conda: https://conda.anaconda.org/conda-forge/win-64/cuda-nvvm-impl-13.3.73-h2466b09_0.conda
   - conda: https://conda.anaconda.org/conda-forge/win-64/cuda-nvvm-tools-13.3.73-h2466b09_0.conda
   - conda: https://conda.anaconda.org/conda-forge/win-64/cuda-profiler-api-13.3.27-h57928b3_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/cython-3.2.8-py314h344ed54_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/cython-3.2.9-py314h344ed54_0.conda
   - conda: https://conda.anaconda.org/conda-forge/win-64/libexpat-2.8.1-hac47afa_1.conda
   - conda: https://conda.anaconda.org/conda-forge/win-64/libffi-3.5.2-h3d046cb_0.conda
   - conda: https://conda.anaconda.org/conda-forge/win-64/liblzma-5.8.3-hfd05255_0.conda
   - conda: https://conda.anaconda.org/conda-forge/win-64/libmpdec-4.0.0-hfd05255_1.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.53.3-hf5d6505_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/libzlib-1.3.2-hfd05255_2.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/openssl-3.6.3-hf411b9b_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/python-3.14.6-h4b44e0e_100_cp314.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.53.4-hf5d6505_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/libzlib-1.3.2-hfd05255_3.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/openssl-3.6.3-hf411b9b_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/python-3.14.6-h4b44e0e_101_cp314.conda
   - conda: https://conda.anaconda.org/conda-forge/win-64/tk-8.6.13-h967ab96_3.conda
   - conda: https://conda.anaconda.org/conda-forge/win-64/ucrt-10.0.26100.0-h57928b3_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/uv-0.11.29-h7ca4a90_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/vc-14.5-h1b7c187_39.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.51.36231-h1b9f54f_39.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/vcomp14-14.51.36231-h1b9f54f_39.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/uv-0.12.2-h7ca4a90_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/vc-14.5-ha367084_41.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.51.36247-habf1de7_41.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/vcomp14-14.51.36247-habf1de7_41.conda
   - conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-h534d264_6.conda
-  - conda_source: cuda-pathfinder[169735b8] @ ../cuda_pathfinder
-- conda_source: cuda-bindings[d33f8c8b] @ .
+  - conda_source: cuda-pathfinder[15190cc4] @ ../cuda_pathfinder
+- conda_source: cuda-bindings[9909e402] @ .
   variants:
     c_stdlib: sysroot
     c_stdlib_version: '2.28'
@@ -16890,9 +17423,9 @@ packages:
   - libnvfatbin
   - libcufile
   - libcufile >=1.18.1.6,<2.0a0
-  - libgcc >=15
-  - libgcc >=15
-  - libstdcxx >=15
+  - libgcc >=16
+  - libgcc >=16
+  - libstdcxx >=16
   - __glibc >=2.28,<3.0.a0
   - python_abi 3.14.* *_cp314
   license: Apache-2.0
@@ -16903,25 +17436,25 @@ packages:
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/_openmp_mutex-4.5-20_gnu.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/binutils_impl_linux-aarch64-2.46.1-default_h5f4c503_102.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/binutils_linux-aarch64-2.46.1-default_hf1166c9_102.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/gcc_impl_linux-aarch64-15.2.0-h3530432_19.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/gcc_linux-aarch64-15.2.0-h0bf4bd8_27.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/gxx_impl_linux-aarch64-15.2.0-h03e2352_19.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/gxx_linux-aarch64-15.2.0-h7e4acf5_27.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/gcc_impl_linux-aarch64-16.1.0-h04da0f0_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/gcc_linux-aarch64-16.1.0-hed00b63_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/gxx_impl_linux-aarch64-16.1.0-hd5c6868_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/gxx_linux-aarch64-16.1.0-h4223dcb_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ld_impl_linux-aarch64-2.46.1-default_h1979696_102.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgcc-15.2.0-h8acb6b2_19.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgomp-15.2.0-h8acb6b2_19.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsanitizer-15.2.0-he19c465_19.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libstdcxx-15.2.0-hef695bb_19.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libzlib-1.3.2-hdc9db2a_2.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgcc-16.1.0-h205dda4_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgomp-16.1.0-h8acb6b2_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsanitizer-16.1.0-h2510bd8_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libstdcxx-16.1.0-hef695bb_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libzlib-1.3.2-hdc9db2a_3.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/zstd-1.5.7-h85ac4a6_6.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/kernel-headers_linux-aarch64-4.18.0-h05a177a_9.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/libgcc-devel_linux-aarch64-15.2.0-h55c397f_119.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/libstdcxx-devel_linux-aarch64-15.2.0-ha7b1723_119.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/libgcc-devel_linux-aarch64-16.1.0-hd673532_101.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/libstdcxx-devel_linux-aarch64-16.1.0-h2445e1f_101.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/sysroot_linux-aarch64-2.28-h585391f_9.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
   host_packages:
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/_openmp_mutex-4.5-20_gnu.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/bzip2-1.0.8-h4777abc_9.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/bzip2-1.0.8-h4777abc_10.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-cudart-13.3.29-h8f3c8d4_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-cudart-dev-13.3.29-h8f3c8d4_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-cudart-static-13.3.29-h8f3c8d4_0.conda
@@ -16931,123 +17464,188 @@ packages:
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-nvvm-impl-13.3.73-h7b14b0b_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-nvvm-tools-13.3.73-h7b14b0b_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-profiler-api-13.3.27-h16bee8c_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cython-3.2.8-py314hc6b4731_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/icu-78.3-hcab7f73_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cython-3.2.9-py314hc6b4731_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ld_impl_linux-aarch64-2.46.1-default_h1979696_102.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libcap-2.78-hf9559e3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libcap-2.78-hfcc8634_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libcufile-1.18.1.6-h42688b2_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libcufile-dev-1.18.1.6-he38c790_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libexpat-2.8.1-hfae3067_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libffi-3.5.2-h376a255_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgcc-15.2.0-h8acb6b2_19.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgomp-15.2.0-h8acb6b2_19.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgcc-16.1.0-h205dda4_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgomp-16.1.0-h8acb6b2_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/liblzma-5.8.3-he30d5cf_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libmpdec-4.0.0-he30d5cf_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libnl-3.11.0-h86ecc28_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsqlite-3.53.3-h10b116e_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libstdcxx-15.2.0-hef695bb_19.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsqlite-3.53.4-h022381a_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libstdcxx-16.1.0-hef695bb_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsystemd0-257.13-hfcc8634_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libudev1-257.13-hfcc8634_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libuuid-2.42.2-h1022ec0_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libzlib-1.3.2-hdc9db2a_2.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libzlib-1.3.2-hdc9db2a_3.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ncurses-6.6-hf8d1292_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/openssl-3.6.3-h546c87b_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/python-3.14.6-hc679e19_100_cp314.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/openssl-3.6.3-h546c87b_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/python-3.14.6-hc679e19_101_cp314.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/rdma-core-63.0-h1f0f388_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/readline-8.3-hb682ff5_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/tk-8.6.13-noxft_h5cf4473_3.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/uv-0.11.29-hbe9c82f_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/uv-0.12.2-hbe9c82f_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/zstd-1.5.7-h85ac4a6_6.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/arm-variant-1.2.0-sbsa.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.6.17-hbd8a1cb_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cccl_linux-aarch64-13.3.3.4.1-h579c4fd_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.7.22-hbd8a1cb_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cccl_linux-aarch64-13.3.3.4.1-h579c4fd_1.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-crt-dev_linux-aarch64-13.3.73-h579c4fd_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-dev_linux-aarch64-13.3.29-h8f3c8d4_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-static_linux-aarch64-13.3.29-h8f3c8d4_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart_linux-aarch64-13.3.29-h8f3c8d4_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-nvvm-dev_linux-aarch64-13.3.73-h579c4fd_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-13.3-hcbadf70_3.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-26.2-pyhc364b38_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-26.3-pyhc364b38_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.14-8_cp314.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-83.0.0-pyh332efcf_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.0-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.1-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.1-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.16.0-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.2-pyhcf101f3_0.conda
-  - conda_source: cuda-pathfinder[4dfff30f] @ ../cuda_pathfinder
-- conda_source: cuda-pathfinder[169735b8] @ ../cuda_pathfinder
+  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.3-pyhcf101f3_0.conda
+  - conda_source: cuda-pathfinder[fa19867f] @ ../cuda_pathfinder
+- conda_source: cuda-bindings[cb9a5e74] @ .
   variants:
-    target_platform: noarch
+    c_stdlib: sysroot
+    c_stdlib_version: '2.28'
+    cuda_version: 12.*
+    python: 3.14.*
+    target_platform: linux-aarch64
   depends:
+  - python
   - python >=3.10
-  - python *
+  - cuda-version
+  - cuda-pathfinder
+  - libnvjitlink
+  - cuda-nvrtc
+  - cuda-nvrtc >=12.9.86,<13.0a0
+  - cuda-nvvm
+  - libnvfatbin
+  - libcufile
+  - libcufile >=1.14.1.1,<2.0a0
+  - libgcc >=16
+  - libgcc >=16
+  - libstdcxx >=16
+  - __glibc >=2.28,<3.0.a0
+  - python_abi 3.14.* *_cp314
   license: Apache-2.0
-  host_packages:
-  - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.6.17-h4c7d964_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-26.2-pyhc364b38_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.14-8_cp314.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-83.0.0-pyh332efcf_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.0-pyhcf101f3_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.1-pyhcf101f3_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.16.0-pyhcf101f3_0.conda
+  source_depends:
+    cuda-pathfinder:
+      path: ../cuda_pathfinder
+  build_packages:
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/_openmp_mutex-4.5-20_gnu.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/binutils_impl_linux-aarch64-2.46.1-default_h5f4c503_102.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/binutils_linux-aarch64-2.46.1-default_hf1166c9_102.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/gcc_impl_linux-aarch64-16.1.0-h04da0f0_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/gcc_linux-aarch64-16.1.0-hed00b63_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/gxx_impl_linux-aarch64-16.1.0-hd5c6868_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/gxx_linux-aarch64-16.1.0-h4223dcb_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ld_impl_linux-aarch64-2.46.1-default_h1979696_102.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgcc-16.1.0-h205dda4_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgomp-16.1.0-h8acb6b2_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsanitizer-16.1.0-h2510bd8_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libstdcxx-16.1.0-hef695bb_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libzlib-1.3.2-hdc9db2a_3.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/zstd-1.5.7-h85ac4a6_6.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/kernel-headers_linux-aarch64-4.18.0-h05a177a_9.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/libgcc-devel_linux-aarch64-16.1.0-hd673532_101.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/libstdcxx-devel_linux-aarch64-16.1.0-h2445e1f_101.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/sysroot_linux-aarch64-2.28-h585391f_9.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.2-pyhcf101f3_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-h0ad9c76_9.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/libexpat-2.8.1-hac47afa_1.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/libffi-3.5.2-h3d046cb_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/liblzma-5.8.3-hfd05255_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/libmpdec-4.0.0-hfd05255_1.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.53.3-hf5d6505_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/libzlib-1.3.2-hfd05255_2.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/openssl-3.6.3-hf411b9b_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/python-3.14.6-h4b44e0e_100_cp314.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/tk-8.6.13-h967ab96_3.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/ucrt-10.0.26100.0-h57928b3_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/uv-0.11.29-h7ca4a90_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/vc-14.5-h1b7c187_39.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.51.36231-h1b9f54f_39.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/vcomp14-14.51.36231-h1b9f54f_39.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-h534d264_6.conda
-- conda_source: cuda-pathfinder[4dfff30f] @ ../cuda_pathfinder
-  variants:
-    target_platform: noarch
-  depends:
-  - python >=3.10
-  - python *
-  license: Apache-2.0
   host_packages:
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/_openmp_mutex-4.5-20_gnu.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/bzip2-1.0.8-h4777abc_9.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/icu-78.3-hcab7f73_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/bzip2-1.0.8-h4777abc_10.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-cudart-12.9.79-h3ae8b8a_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-cudart-dev-12.9.79-h3ae8b8a_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-cudart-static-12.9.79-h3ae8b8a_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-nvrtc-12.9.86-h8f3c8d4_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-nvrtc-dev-12.9.86-h8f3c8d4_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-nvvm-12.9.86-he9431aa_106.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-nvvm-impl-12.9.86-h7b14b0b_2.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-nvvm-tools-12.9.86-h7b14b0b_2.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-profiler-api-12.9.79-h16bee8c_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cython-3.2.9-py314hc6b4731_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ld_impl_linux-aarch64-2.46.1-default_h1979696_102.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libcap-2.78-hfcc8634_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libcufile-1.14.1.1-had8bf56_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libcufile-dev-1.14.1.1-he38c790_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libexpat-2.8.1-hfae3067_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libffi-3.5.2-h376a255_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgcc-15.2.0-h8acb6b2_19.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgomp-15.2.0-h8acb6b2_19.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgcc-16.1.0-h205dda4_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgomp-16.1.0-h8acb6b2_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/liblzma-5.8.3-he30d5cf_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libmpdec-4.0.0-he30d5cf_1.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsqlite-3.53.3-h10b116e_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libstdcxx-15.2.0-hef695bb_19.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libnl-3.11.0-h86ecc28_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsqlite-3.53.4-h022381a_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libstdcxx-16.1.0-hef695bb_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsystemd0-257.13-hfcc8634_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libudev1-257.13-hfcc8634_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libuuid-2.42.2-h1022ec0_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libzlib-1.3.2-hdc9db2a_2.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libzlib-1.3.2-hdc9db2a_3.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ncurses-6.6-hf8d1292_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/openssl-3.6.3-h546c87b_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/python-3.14.6-hc679e19_100_cp314.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/openssl-3.6.3-h546c87b_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/python-3.14.6-hc679e19_101_cp314.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/rdma-core-63.0-h1f0f388_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/readline-8.3-hb682ff5_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/tk-8.6.13-noxft_h5cf4473_3.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/uv-0.11.29-hbe9c82f_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/uv-0.12.2-hbe9c82f_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/zstd-1.5.7-h85ac4a6_6.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.6.17-hbd8a1cb_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-26.2-pyhc364b38_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/arm-variant-1.2.0-sbsa.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.7.22-hbd8a1cb_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cccl_linux-aarch64-12.9.27-h579c4fd_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-crt-dev_linux-aarch64-12.9.86-h579c4fd_2.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-dev_linux-aarch64-12.9.79-h3ae8b8a_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-static_linux-aarch64-12.9.79-h3ae8b8a_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart_linux-aarch64-12.9.79-h3ae8b8a_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-nvvm-dev_linux-aarch64-12.9.86-h579c4fd_2.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-12.9-h4f385c5_3.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-26.3-pyhc364b38_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.14-8_cp314.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-83.0.0-pyh332efcf_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.0-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.1-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.1-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.16.0-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.2-pyhcf101f3_0.conda
-- conda_source: cuda-pathfinder[83159de6] @ ../cuda_pathfinder
+  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.3-pyhcf101f3_0.conda
+  - conda_source: cuda-pathfinder[fa19867f] @ ../cuda_pathfinder
+- conda_source: cuda-pathfinder[15190cc4] @ ../cuda_pathfinder
+  variants:
+    target_platform: noarch
+  depends:
+  - python >=3.10
+  - python *
+  license: Apache-2.0
+  host_packages:
+  - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.7.22-h4c7d964_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-26.3-pyhc364b38_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.14-8_cp314.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-83.0.0-pyh332efcf_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.1-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.1-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.16.0-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.3-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-h0ad9c76_10.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/libexpat-2.8.1-hac47afa_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/libffi-3.5.2-h3d046cb_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/liblzma-5.8.3-hfd05255_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/libmpdec-4.0.0-hfd05255_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.53.4-hf5d6505_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/libzlib-1.3.2-hfd05255_3.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/openssl-3.6.3-hf411b9b_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/python-3.14.6-h4b44e0e_101_cp314.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/tk-8.6.13-h967ab96_3.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/ucrt-10.0.26100.0-h57928b3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/uv-0.12.2-h7ca4a90_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/vc-14.5-ha367084_41.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.51.36247-habf1de7_41.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/vcomp14-14.51.36247-habf1de7_41.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-h534d264_6.conda
+- conda_source: cuda-pathfinder[9139f4b4] @ ../cuda_pathfinder
   variants:
     target_platform: noarch
   depends:
@@ -17056,34 +17654,75 @@ packages:
   license: Apache-2.0
   host_packages:
   - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_9.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_10.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/icu-78.3-h54a6638_2.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.46.1-default_hbd61a6d_102.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.8.1-hecca717_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-64/libffi-3.5.2-h3435931_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-15.2.0-he0feb66_19.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.2.0-he0feb66_19.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-16.1.0-ha9f2e26_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-16.1.0-he0feb66_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.3-hb03c661_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-64/libmpdec-4.0.0-hb03c661_1.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.53.3-h0c1763c_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-15.2.0-h934c35e_19.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.53.4-hf4e2dac_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-16.1.0-h934c35e_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.42.2-h5347b49_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.2-h25fd6f3_2.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.2-h25fd6f3_3.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.6-hdb14827_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.6.3-h35e630c_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.14.6-habeac84_100_cp314.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.6.3-h35e630c_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.14.6-habeac84_101_cp314.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-64/readline-8.3-h853b02a_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_hd70dff1_3.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-64/uv-0.11.29-h2112641_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/uv-0.12.2-h2112641_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb78ec9c_6.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.6.17-hbd8a1cb_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-26.2-pyhc364b38_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.7.22-hbd8a1cb_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-26.3-pyhc364b38_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.14-8_cp314.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-83.0.0-pyh332efcf_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.0-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.1-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.1-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.16.0-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.2-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.3-pyhcf101f3_0.conda
+- conda_source: cuda-pathfinder[fa19867f] @ ../cuda_pathfinder
+  variants:
+    target_platform: noarch
+  depends:
+  - python >=3.10
+  - python *
+  license: Apache-2.0
+  host_packages:
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/_openmp_mutex-4.5-20_gnu.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/bzip2-1.0.8-h4777abc_10.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ld_impl_linux-aarch64-2.46.1-default_h1979696_102.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libexpat-2.8.1-hfae3067_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libffi-3.5.2-h376a255_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgcc-16.1.0-h205dda4_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgomp-16.1.0-h8acb6b2_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/liblzma-5.8.3-he30d5cf_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libmpdec-4.0.0-he30d5cf_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsqlite-3.53.4-h022381a_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libstdcxx-16.1.0-hef695bb_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libuuid-2.42.2-h1022ec0_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libzlib-1.3.2-hdc9db2a_3.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ncurses-6.6-hf8d1292_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/openssl-3.6.3-h546c87b_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/python-3.14.6-hc679e19_101_cp314.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/readline-8.3-hb682ff5_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/tk-8.6.13-noxft_h5cf4473_3.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/uv-0.12.2-hbe9c82f_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/zstd-1.5.7-h85ac4a6_6.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.7.22-hbd8a1cb_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-26.3-pyhc364b38_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.14-8_cp314.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-83.0.0-pyh332efcf_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.1-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.1-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.16.0-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.3-pyhcf101f3_0.conda
+- pypi: ../cuda_python_test_helpers
+  name: cuda-python-test-helpers
+  requires_python: '>=3.10'
 - pypi: https://files.pythonhosted.org/packages/8c/79/017fab2f7167a9a9795665f894d04f77aafceca80821b51589bb4b23ff5c/nvidia_sphinx_theme-0.0.9.post1-py3-none-any.whl
   name: nvidia-sphinx-theme
   version: 0.0.9.post1
diff --git a/cuda_bindings/pixi.toml b/cuda_bindings/pixi.toml
index 943d57e11bb..9d122d17413 100644
--- a/cuda_bindings/pixi.toml
+++ b/cuda_bindings/pixi.toml
@@ -21,11 +21,14 @@ pytest-repeat = "*"
 pyglet = ">=2.1.9"
 numpy = "*"
 
+[feature.test.pypi-dependencies]
+cuda-python-test-helpers = { path = "../cuda_python_test_helpers", editable = true }
+
 # Keep this dependency set aligned with cuda_python/docs/environment-docs.yml.
 [feature.docs.dependencies]
 cuda-bindings = "13.2.*"
 python = "3.12.*"
-cython = "*"
+cython = ">=3.2.5,<3.3"
 enum_tools = "*"
 make = "*"
 myst-nb = "*"
@@ -41,7 +44,7 @@ sphinx-copybutton = "*"
 sphinx-toolbox = "*"
 
 [feature.cython-tests.dependencies]
-cython = ">=3.2,<3.3" # for tests that exercise APIs from cython
+cython = ">=3.2.5,<3.3" # for tests that exercise APIs from cython
 setuptools = "*"      # for distutils
 gxx = "*"             # to compile the generated code
 # These are necessary because running the Cython tests requires compiling
@@ -115,7 +118,7 @@ python = "*"
 cuda-version = "*"
 setuptools = ">=80"
 setuptools-scm = ">=8"
-cython = ">=3.2,<3.3"
+cython = ">=3.2.5,<3.3"
 cuda-pathfinder = { path = "../cuda_pathfinder" }
 cuda-cudart-static = "*"
 cuda-nvrtc-dev = "*"
diff --git a/cuda_bindings/pyproject.toml b/cuda_bindings/pyproject.toml
index 9744a0a009b..3896e4527ec 100644
--- a/cuda_bindings/pyproject.toml
+++ b/cuda_bindings/pyproject.toml
@@ -4,7 +4,7 @@
 requires = [
     "setuptools>=80.0.0",
     "setuptools_scm[simple]>=8,!=10.1",
-    "cython>=3.2,<3.3",
+    "cython>=3.2.5,<3.3",
     "cuda-pathfinder>=1.5",
 ]
 build-backend = "build_hooks"
@@ -44,11 +44,12 @@ all = [
 
 [dependency-groups]
 test = [
-    "cython>=3.2,<3.3",
+    "cython>=3.2.5,<3.3",
     "setuptools>=80.0.0",
     # TODO: remove the Python 3.15 guard once 3.15 is officially supported
     "matplotlib>=3.5.0,<=3.10.9; python_version < '3.15'",
-    "numpy>=1.21.1,<=2.5.0",
+    # <=2.6.0.dev0 admits scientific-python nightlies (for Python 3.15)
+    "numpy>=1.21.1,<=2.6.0.dev0",
     "pytest==9.1.0",
     "pytest-benchmark==5.2.3",
     "pytest-repeat==0.9.4",
@@ -88,7 +89,7 @@ repair-wheel-command = "delvewheel repair --namespace-pkg cuda -w {dest_dir} {wh
 
 [tool.pytest.ini_options]
 required_plugins = "pytest-benchmark"
-addopts = "--benchmark-disable --showlocals"
+addopts = "--benchmark-disable --showlocals --durations=20"
 norecursedirs = ["tests/cython", "examples"]
 xfail_strict = true
 # Keep this authorship marker registry in sync across all pytest config roots.
diff --git a/cuda_bindings/tests/conftest.py b/cuda_bindings/tests/conftest.py
index 1618d63a133..fada7d95601 100644
--- a/cuda_bindings/tests/conftest.py
+++ b/cuda_bindings/tests/conftest.py
@@ -2,30 +2,32 @@
 # SPDX-License-Identifier: Apache-2.0
 
 import functools
+import importlib
 import inspect
 import pathlib
 import sys
 from contextlib import contextmanager
-from importlib.metadata import PackageNotFoundError, distribution
 
 import pytest
 
 import cuda.bindings.driver as cuda
 
-# Import shared test helpers for tests across subprojects.
-# PLEASE KEEP IN SYNC with copies in other conftest.py in this repo.
-_test_helpers_root = pathlib.Path(__file__).resolve().parents[2] / "cuda_python_test_helpers"
+# Keep in sync with cuda_core/tests/conftest.py.
 try:
-    distribution("cuda-python-test-helpers")
-except PackageNotFoundError as exc:
+    import cuda_python_test_helpers._pytest_plugin  # noqa: F401
+except ImportError as e:
+    # Don't call .resolve(): resolving symlinks can make parents[2] point
+    # somewhere other than the monorepo root if a sub-directory is symlinked.
+    _test_helpers_root = pathlib.Path(__file__).parents[2] / "cuda_python_test_helpers"
     if not _test_helpers_root.is_dir():
-        raise RuntimeError(
-            f"cuda-python-test-helpers not installed; expected checkout path {_test_helpers_root}"
-        ) from exc
-
-    test_helpers_root = str(_test_helpers_root)
-    if test_helpers_root not in sys.path:
-        sys.path.insert(0, test_helpers_root)
+        raise RuntimeError(f"cuda-python-test-helpers not installed and not found at {_test_helpers_root}") from e
+    for _k in list(sys.modules):
+        if _k == "cuda_python_test_helpers" or _k.startswith("cuda_python_test_helpers."):
+            del sys.modules[_k]
+    sys.path.insert(0, str(_test_helpers_root))
+    importlib.invalidate_caches()
+
+pytest_plugins = ["cuda_python_test_helpers._pytest_plugin"]
 
 
 def pytest_configure(config):
diff --git a/cuda_bindings/tests/cython/test_ccudart.pyx b/cuda_bindings/tests/cython/test_ccudart.pyx
index 4460ceb618a..3a59f952bd3 100644
--- a/cuda_bindings/tests/cython/test_ccudart.pyx
+++ b/cuda_bindings/tests/cython/test_ccudart.pyx
@@ -59,11 +59,8 @@ cdef extern from *:
 
 def test_ccudart_interoperable():
     # struct
-    cdef dim3 oldDim, newDim
-    oldDim.x = 1
-    oldDim.y = 2
-    oldDim.z = 3
-    newDim = copy_and_append_dim3(oldDim)
+    cdef dim3 oldDim = [1, 2, 3]
+    cdef dim3 newDim = copy_and_append_dim3(oldDim)
     assert oldDim.x + 1 == newDim.x
     assert oldDim.y + 1 == newDim.y
     assert oldDim.z + 1 == newDim.z
diff --git a/cuda_bindings/tests/nvml/__init__.py b/cuda_bindings/tests/nvml/__init__.py
index c746f897d2d..4baf1b49bc0 100644
--- a/cuda_bindings/tests/nvml/__init__.py
+++ b/cuda_bindings/tests/nvml/__init__.py
@@ -3,8 +3,7 @@
 
 
 import pytest
-
-from cuda.bindings._test_helpers.arch_check import hardware_supports_nvml
+from cuda_python_test_helpers.arch_check import hardware_supports_nvml
 
 if not hardware_supports_nvml():
     pytest.skip("NVML not supported on this platform", allow_module_level=True)
diff --git a/cuda_bindings/tests/nvml/conftest.py b/cuda_bindings/tests/nvml/conftest.py
index eece1d5c612..9f4ff0621d0 100644
--- a/cuda_bindings/tests/nvml/conftest.py
+++ b/cuda_bindings/tests/nvml/conftest.py
@@ -4,9 +4,9 @@
 from collections import namedtuple
 
 import pytest
+from cuda_python_test_helpers.arch_check import unsupported_before  # noqa: F401
 
 from cuda.bindings import nvml
-from cuda.bindings._test_helpers.arch_check import unsupported_before  # noqa: F401
 
 
 class NVMLInitializer:
diff --git a/cuda_bindings/tests/nvml/test_init.py b/cuda_bindings/tests/nvml/test_init.py
index a47af24dc6a..c56c400a0b9 100644
--- a/cuda_bindings/tests/nvml/test_init.py
+++ b/cuda_bindings/tests/nvml/test_init.py
@@ -7,6 +7,7 @@
 import pytest
 
 from cuda.bindings import nvml
+from cuda_python_test_helpers import driver_version_less_than
 
 
 def assert_nvml_is_initialized():
@@ -43,6 +44,7 @@ def get_architecture_name(arch):
 
 @pytest.mark.skipif(sys.platform == "win32", reason="Test not supported on Windows")
 @pytest.mark.thread_unsafe(reason="nvml init affects other threads")
+@pytest.mark.skipif(not driver_version_less_than(13040), reason="Init behavior changed in CUDA 13.4")
 def test_init_ref_count():
     """
     Verifies that we can call NVML shutdown and init(2) multiple times, and that ref counting works
diff --git a/cuda_bindings/tests/nvml/test_nvlink.py b/cuda_bindings/tests/nvml/test_nvlink.py
index 04bc8eaae4c..1ea9e25dfa7 100644
--- a/cuda_bindings/tests/nvml/test_nvlink.py
+++ b/cuda_bindings/tests/nvml/test_nvlink.py
@@ -27,8 +27,3 @@ def test_nvlink_get_link_count(all_devices):
         assert value.nvml_return == nvml.Return.SUCCESS or value.nvml_return == nvml.Return.ERROR_NOT_SUPPORTED, (
             f"Unexpected return {value.nvml_return} for link count field query"
         )
-
-        # The feature_nvlink_supported detection is not robust, so we
-        # can't be more specific about how many links we should find.
-        if value.nvml_return == nvml.Return.SUCCESS:
-            assert value.value.ui_val[0] <= nvml.NVLINK_MAX_LINKS, f"Unexpected link count {value.value.ui_val[0]}"
diff --git a/cuda_bindings/tests/nvml/test_pynvml.py b/cuda_bindings/tests/nvml/test_pynvml.py
index 075f44b49b2..64a08fbf5c9 100644
--- a/cuda_bindings/tests/nvml/test_pynvml.py
+++ b/cuda_bindings/tests/nvml/test_pynvml.py
@@ -9,8 +9,8 @@
 import pytest
 
 from cuda.bindings import nvml
+from cuda_python_test_helpers import IS_WINDOWS, IS_WSL
 
-from . import util
 from .conftest import unsupported_before
 
 XFAIL_LEGACY_NVLINK_MSG = "Legacy NVLink test expected to fail."
@@ -71,7 +71,7 @@ def test_device_get_handle_by_pci_bus_id(ngpus):
 
 
 @pytest.mark.parametrize("scope", [nvml.AffinityScope.NODE, nvml.AffinityScope.SOCKET])
-@pytest.mark.skipif(util.is_wsl() or util.is_windows(), reason="Not supported on WSL or Windows")
+@pytest.mark.skipif(IS_WSL or IS_WINDOWS, reason="Not supported on WSL or Windows")
 def test_device_get_memory_affinity(handles, scope):
     size = 1024
     for handle in handles:
@@ -82,7 +82,7 @@ def test_device_get_memory_affinity(handles, scope):
 
 
 @pytest.mark.parametrize("scope", [nvml.AffinityScope.NODE, nvml.AffinityScope.SOCKET])
-@pytest.mark.skipif(util.is_wsl() or util.is_windows(), reason="Not supported on WSL or Windows")
+@pytest.mark.skipif(IS_WSL or IS_WINDOWS, reason="Not supported on WSL or Windows")
 def test_device_get_cpu_affinity_within_scope(handles, scope):
     size = 1024
     for handle in handles:
@@ -277,27 +277,6 @@ def test_device_get_pcie_throughput(ngpus, handles):
 # Test pynvml.nvmlDeviceGetNvLinkRemotePciInfo
 
 
-@pytest.mark.parametrize(
-    "cap_type",
-    [
-        nvml.NvLinkCapability.NVLINK_CAP_P2P_SUPPORTED,  # P2P over NVLink is supported
-        nvml.NvLinkCapability.NVLINK_CAP_SYSMEM_ACCESS,  # Access to system memory is supported
-        nvml.NvLinkCapability.NVLINK_CAP_P2P_ATOMICS,  # P2P atomics are supported
-        nvml.NvLinkCapability.NVLINK_CAP_SYSMEM_ATOMICS,  # System memory atomics are supported
-        nvml.NvLinkCapability.NVLINK_CAP_SLI_BRIDGE,  # SLI is supported over this link
-        nvml.NvLinkCapability.NVLINK_CAP_VALID,
-    ],
-)  # Link is supported on this device
-def test_device_get_nvlink_capability(ngpus, handles, cap_type):
-    for i in range(ngpus):
-        for j in range(nvml.NVLINK_MAX_LINKS):
-            # By the documentation, this should be supported on PASCAL or newer,
-            # but this also seems to fail on newer.
-            with unsupported_before(handles[i], None):
-                cap = nvml.device_get_nvlink_capability(handles[i], j, cap_type)
-            assert cap >= 0
-
-
 # Test pynvml.nvmlDeviceResetNvLinkUtilizationCounter
 # Test pynvml.nvmlDeviceSetNvLinkUtilizationControl
 # Test pynvml.nvmlDeviceGetNvLinkUtilizationCounter
diff --git a/cuda_bindings/tests/nvml/util.py b/cuda_bindings/tests/nvml/util.py
index 038fe58d8be..129ded8f83c 100644
--- a/cuda_bindings/tests/nvml/util.py
+++ b/cuda_bindings/tests/nvml/util.py
@@ -2,29 +2,8 @@
 # SPDX-License-Identifier: Apache-2.0
 
 
-import functools
-import platform
-from pathlib import Path
-
 from cuda.bindings import nvml
 
-current_os = platform.system()
-if current_os == "VMkernel":
-    current_os = "Linux"  # Treat VMkernel as Linux
-
-
-def is_windows(os=current_os):
-    return os == "Windows"
-
-
-def is_linux(os=current_os):
-    return os == "Linux"
-
-
-@functools.cache
-def is_wsl(os=current_os):
-    return os == "Linux" and "microsoft" in Path("/proc/version").read_text().lower()
-
 
 def is_vgpu(device):
     """
diff --git a/cuda_bindings/tests/test_cuda.py b/cuda_bindings/tests/test_cuda.py
index 423b667ead5..18c3c0e9d80 100644
--- a/cuda_bindings/tests/test_cuda.py
+++ b/cuda_bindings/tests/test_cuda.py
@@ -10,19 +10,12 @@
 
 import numpy as np
 import pytest
+from cuda_python_test_helpers.mempool import xfail_if_mempool_oom
 
 import cuda.bindings.driver as cuda
 import cuda.bindings.runtime as cudart
 from cuda.bindings import driver
-from cuda.bindings._test_helpers.mempool import xfail_if_mempool_oom
-
-
-def driverVersionLessThan(target):
-    (err,) = cuda.cuInit(0)
-    assert err == cuda.CUresult.CUDA_SUCCESS
-    err, version = cuda.cuDriverGetVersion()
-    assert err == cuda.CUresult.CUDA_SUCCESS
-    return version < target
+from cuda_python_test_helpers import driver_version_less_than
 
 
 def supportsMemoryPool():
@@ -265,7 +258,7 @@ def test_cuda_CUstreamBatchMemOpParams():
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(11030) or not supportsMemoryPool(), reason="When new attributes were introduced"
+    driver_version_less_than(11030) or not supportsMemoryPool(), reason="When new attributes were introduced"
 )
 def test_cuda_memPool_attr():
     poolProps = cuda.CUmemPoolProps()
@@ -328,7 +321,7 @@ def test_cuda_memPool_attr():
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(11030) or not supportsManagedMemory(), reason="When new attributes were introduced"
+    driver_version_less_than(11030) or not supportsManagedMemory(), reason="When new attributes were introduced"
 )
 def test_cuda_pointer_attr():
     err, ptr = cuda.cuMemAllocManaged(0x1000, cuda.CUmemAttach_flags.CU_MEM_ATTACH_GLOBAL.value)
@@ -379,7 +372,7 @@ def test_cuda_pointer_attr():
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(11030) or not supportsManagedMemory(), reason="When new attributes were introduced"
+    driver_version_less_than(11030) or not supportsManagedMemory(), reason="When new attributes were introduced"
 )
 def test_pointer_get_attributes_device_ordinal():
     attributes = [
@@ -457,7 +450,9 @@ def test_cuda_mem_range_attr(device):
     assert err == cuda.CUresult.CUDA_SUCCESS
 
 
-@pytest.mark.skipif(driverVersionLessThan(11040) or not supportsMemoryPool(), reason="Mempool for graphs not supported")
+@pytest.mark.skipif(
+    driver_version_less_than(11040) or not supportsMemoryPool(), reason="Mempool for graphs not supported"
+)
 @pytest.mark.thread_unsafe(reason="used high memory can be higher if threaded.")
 def test_cuda_graphMem_attr(device):
     err, stream = cuda.cuStreamCreate(0)
@@ -516,7 +511,7 @@ def test_cuda_graphMem_attr(device):
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(12010)
+    driver_version_less_than(12010)
     or not supportsCudaAPI("cuCoredumpSetAttributeGlobal")
     or not supportsCudaAPI("cuCoredumpGetAttributeGlobal"),
     reason="Coredump API not present",
@@ -566,7 +561,7 @@ def test_get_error_name_and_string():
 
 
 # TODO: cuStreamGetCaptureInfo_v2
-@pytest.mark.skipif(driverVersionLessThan(11030), reason="Driver too old for cuStreamGetCaptureInfo_v2")
+@pytest.mark.skipif(driver_version_less_than(11030), reason="Driver too old for cuStreamGetCaptureInfo_v2")
 def test_stream_capture():
     pass
 
@@ -636,7 +631,7 @@ def test_invalid_repr_attribute():
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(12020)
+    driver_version_less_than(12020)
     or not supportsCudaAPI("cuGraphAddNode")
     or not supportsCudaAPI("cuGraphNodeSetParams")
     or not supportsCudaAPI("cuGraphExecNodeSetParams"),
@@ -748,7 +743,7 @@ def test_graph_poly():
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(12040) or not supportsCudaAPI("cuDeviceGetDevResource"),
+    driver_version_less_than(12040) or not supportsCudaAPI("cuDeviceGetDevResource"),
     reason="Polymorphic graph APIs required",
 )
 def test_cuDeviceGetDevResource(device):
@@ -768,7 +763,7 @@ def test_cuDeviceGetDevResource(device):
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(12030) or not supportsCudaAPI("cuGraphConditionalHandleCreate"),
+    driver_version_less_than(12030) or not supportsCudaAPI("cuGraphConditionalHandleCreate"),
     reason="Conditional graph APIs required",
 )
 def test_conditional(ctx):
@@ -830,14 +825,14 @@ def test_all_CUresult_codes():
     assert num_good >= 76  # CTK 11.0.3_450.51.06
 
 
-@pytest.mark.skipif(driverVersionLessThan(12030), reason="Driver too old for cuKernelGetName")
+@pytest.mark.skipif(driver_version_less_than(12030), reason="Driver too old for cuKernelGetName")
 def test_cuKernelGetName_failure():
     err, name = cuda.cuKernelGetName(0)
     assert err == cuda.CUresult.CUDA_ERROR_INVALID_VALUE
     assert name is None
 
 
-@pytest.mark.skipif(driverVersionLessThan(12030), reason="Driver too old for cuFuncGetName")
+@pytest.mark.skipif(driver_version_less_than(12030), reason="Driver too old for cuFuncGetName")
 def test_cuFuncGetName_failure():
     err, name = cuda.cuFuncGetName(0)
     assert err == cuda.CUresult.CUDA_ERROR_INVALID_VALUE
@@ -845,7 +840,7 @@ def test_cuFuncGetName_failure():
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(12080) or not supportsCudaAPI("cuCheckpointProcessGetState"),
+    driver_version_less_than(12080) or not supportsCudaAPI("cuCheckpointProcessGetState"),
     reason="When API was introduced",
 )
 def test_cuCheckpointProcessGetState_failure():
@@ -887,7 +882,7 @@ def test_struct_pointer_comparison(target):
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(13010) or not supportsCudaAPI("cuGraphGetId"),
+    driver_version_less_than(13010) or not supportsCudaAPI("cuGraphGetId"),
     reason="Requires CUDA 13.1+",
 )
 def test_cuGraphGetId(device, ctx):
@@ -914,7 +909,7 @@ def test_cuGraphGetId(device, ctx):
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(13010) or not supportsCudaAPI("cuGraphExecGetId"),
+    driver_version_less_than(13010) or not supportsCudaAPI("cuGraphExecGetId"),
     reason="Requires CUDA 13.1+",
 )
 def test_cuGraphExecGetId(device, ctx):
@@ -1046,7 +1041,7 @@ def test_cuGraphNodeGetDependencies_edgeData_outlives_call(device, ctx):
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(13010) or not supportsCudaAPI("cuGraphNodeGetLocalId"),
+    driver_version_less_than(13010) or not supportsCudaAPI("cuGraphNodeGetLocalId"),
     reason="Requires CUDA 13.1+",
 )
 def test_cuGraphNodeGetLocalId(device, ctx):
@@ -1088,7 +1083,7 @@ def test_cuGraphNodeGetLocalId(device, ctx):
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(13010) or not supportsCudaAPI("cuGraphNodeGetToolsId"),
+    driver_version_less_than(13010) or not supportsCudaAPI("cuGraphNodeGetToolsId"),
     reason="Requires CUDA 13.1+",
 )
 def test_cuGraphNodeGetToolsId(device, ctx):
@@ -1117,7 +1112,7 @@ def test_cuGraphNodeGetToolsId(device, ctx):
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(13010) or not supportsCudaAPI("cuGraphNodeGetContainingGraph"),
+    driver_version_less_than(13010) or not supportsCudaAPI("cuGraphNodeGetContainingGraph"),
     reason="Requires CUDA 13.1+",
 )
 def test_cuGraphNodeGetContainingGraph(device, ctx):
@@ -1164,7 +1159,7 @@ def test_cuGraphNodeGetContainingGraph(device, ctx):
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(13010) or not supportsCudaAPI("cuStreamGetDevResource"),
+    driver_version_less_than(13010) or not supportsCudaAPI("cuStreamGetDevResource"),
     reason="Requires CUDA 13.1+",
 )
 def test_cuStreamGetDevResource(device, ctx):
@@ -1183,7 +1178,7 @@ def test_cuStreamGetDevResource(device, ctx):
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(13010) or not supportsCudaAPI("cuDevSmResourceSplit"),
+    driver_version_less_than(13010) or not supportsCudaAPI("cuDevSmResourceSplit"),
     reason="Requires CUDA 13.1+",
 )
 def test_cuDevSmResourceSplit(device, ctx):
diff --git a/cuda_bindings/tests/test_cudart.py b/cuda_bindings/tests/test_cudart.py
index f0f289170c4..12d6d4352ca 100644
--- a/cuda_bindings/tests/test_cudart.py
+++ b/cuda_bindings/tests/test_cudart.py
@@ -6,12 +6,13 @@
 
 import numpy as np
 import pytest
+from cuda_python_test_helpers.mempool import xfail_if_mempool_oom
 
 import cuda.bindings.driver as cuda
 import cuda.bindings.runtime as cudart
 from cuda import pathfinder
 from cuda.bindings import runtime
-from cuda.bindings._test_helpers.mempool import xfail_if_mempool_oom
+from cuda_python_test_helpers import driver_version_less_than
 
 
 def isSuccess(err):
@@ -22,12 +23,6 @@ def assertSuccess(err):
     assert isSuccess(err)
 
 
-def driverVersionLessThan(target):
-    err, version = cudart.cudaDriverGetVersion()
-    assertSuccess(err)
-    return version < target
-
-
 def supportsMemoryPool():
     err, isSupported = cudart.cudaDeviceGetAttribute(cudart.cudaDeviceAttr.cudaDevAttrMemoryPoolsSupported, 0)
     return isSuccess(err) and isSupported
@@ -510,7 +505,7 @@ def test_cudart_cudaGetDeviceProperties():
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(11030) or not supportsMemoryPool(), reason="When new attributes were introduced"
+    driver_version_less_than(11030) or not supportsMemoryPool(), reason="When new attributes were introduced"
 )
 def test_cudart_MemPool_attr():
     poolProps = cudart.cudaMemPoolProps()
@@ -1451,7 +1446,7 @@ def test_cudart_func_callback():
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(12030) or not supportsCudaAPI("cudaGraphConditionalHandleCreate"),
+    driver_version_less_than(12030) or not supportsCudaAPI("cudaGraphConditionalHandleCreate"),
     reason="Conditional graph APIs required",
 )
 def test_cudart_conditional():
@@ -1509,7 +1504,7 @@ def test_getLocalRuntimeVersion():
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(13010) or not supportsCudaAPI("cudaGraphGetId"),
+    driver_version_less_than(13010) or not supportsCudaAPI("cudaGraphGetId"),
     reason="Requires CUDA 13.1+",
 )
 def test_cudaGraphGetId():
@@ -1536,7 +1531,7 @@ def test_cudaGraphGetId():
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(13010) or not supportsCudaAPI("cudaGraphExecGetId"),
+    driver_version_less_than(13010) or not supportsCudaAPI("cudaGraphExecGetId"),
     reason="Requires CUDA 13.1+",
 )
 def test_cudaGraphExecGetId():
@@ -1583,7 +1578,7 @@ def test_cudaGraphExecGetId():
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(13010) or not supportsCudaAPI("cudaGraphNodeGetLocalId"),
+    driver_version_less_than(13010) or not supportsCudaAPI("cudaGraphNodeGetLocalId"),
     reason="Requires CUDA 13.1+",
 )
 def test_cudaGraphNodeGetLocalId():
@@ -1625,7 +1620,7 @@ def test_cudaGraphNodeGetLocalId():
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(13010) or not supportsCudaAPI("cudaGraphNodeGetToolsId"),
+    driver_version_less_than(13010) or not supportsCudaAPI("cudaGraphNodeGetToolsId"),
     reason="Requires CUDA 13.1+",
 )
 def test_cudaGraphNodeGetToolsId():
@@ -1654,7 +1649,7 @@ def test_cudaGraphNodeGetToolsId():
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(13010) or not supportsCudaAPI("cudaGraphNodeGetContainingGraph"),
+    driver_version_less_than(13010) or not supportsCudaAPI("cudaGraphNodeGetContainingGraph"),
     reason="Requires CUDA 13.1+",
 )
 def test_cudaGraphNodeGetContainingGraph():
@@ -1701,7 +1696,7 @@ def test_cudaGraphNodeGetContainingGraph():
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(13010) or not supportsCudaAPI("cudaStreamGetDevResource"),
+    driver_version_less_than(13010) or not supportsCudaAPI("cudaStreamGetDevResource"),
     reason="Requires CUDA 13.1+",
 )
 def test_cudaStreamGetDevResource():
@@ -1720,7 +1715,7 @@ def test_cudaStreamGetDevResource():
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(13010) or not supportsCudaAPI("cudaDeviceGetDevResource"),
+    driver_version_less_than(13010) or not supportsCudaAPI("cudaDeviceGetDevResource"),
     reason="Requires CUDA 13.1+",
 )
 def test_cudaDeviceGetDevResource():
@@ -1735,7 +1730,7 @@ def test_cudaDeviceGetDevResource():
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(13010) or not supportsCudaAPI("cudaDeviceGetExecutionCtx"),
+    driver_version_less_than(13010) or not supportsCudaAPI("cudaDeviceGetExecutionCtx"),
     reason="Requires CUDA 13.1+",
 )
 def test_cudaExecutionCtxGetDevResource():
@@ -1753,7 +1748,7 @@ def test_cudaExecutionCtxGetDevResource():
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(13010) or not supportsCudaAPI("cudaDeviceGetExecutionCtx"),
+    driver_version_less_than(13010) or not supportsCudaAPI("cudaDeviceGetExecutionCtx"),
     reason="Requires CUDA 13.1+",
 )
 def test_cudaExecutionCtxGetDevice():
@@ -1773,7 +1768,7 @@ def test_cudaExecutionCtxGetDevice():
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(13010) or not supportsCudaAPI("cudaDeviceGetExecutionCtx"),
+    driver_version_less_than(13010) or not supportsCudaAPI("cudaDeviceGetExecutionCtx"),
     reason="Requires CUDA 13.1+",
 )
 def test_cudaExecutionCtxGetId():
@@ -1801,7 +1796,7 @@ def test_cudaExecutionCtxGetId():
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(13010) or not supportsCudaAPI("cudaDevSmResourceSplit"),
+    driver_version_less_than(13010) or not supportsCudaAPI("cudaDevSmResourceSplit"),
     reason="Requires CUDA 13.1+",
 )
 def test_cudaDevSmResourceSplit():
@@ -1870,7 +1865,7 @@ def test_cudaDevSmResourceSplit():
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(13010) or not supportsCudaAPI("cudaDevSmResourceSplitByCount"),
+    driver_version_less_than(13010) or not supportsCudaAPI("cudaDevSmResourceSplitByCount"),
     reason="Requires CUDA 13.1+",
 )
 def test_cudaDevSmResourceSplitByCount():
@@ -1893,7 +1888,7 @@ def test_cudaDevSmResourceSplitByCount():
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(13010) or not supportsCudaAPI("cudaDevResourceGenerateDesc"),
+    driver_version_less_than(13010) or not supportsCudaAPI("cudaDevResourceGenerateDesc"),
     reason="Requires CUDA 13.1+",
 )
 def test_cudaDevResourceGenerateDesc():
@@ -1910,7 +1905,7 @@ def test_cudaDevResourceGenerateDesc():
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(13010) or not supportsCudaAPI("cudaGreenCtxCreate"),
+    driver_version_less_than(13010) or not supportsCudaAPI("cudaGreenCtxCreate"),
     reason="Requires CUDA 13.1+",
 )
 def test_cudaGreenCtxCreate():
@@ -1941,7 +1936,7 @@ def test_cudaGreenCtxCreate():
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(13010) or not supportsCudaAPI("cudaExecutionCtxStreamCreate"),
+    driver_version_less_than(13010) or not supportsCudaAPI("cudaExecutionCtxStreamCreate"),
     reason="Requires CUDA 13.1+",
 )
 def test_cudaExecutionCtxStreamCreate():
@@ -1962,7 +1957,7 @@ def test_cudaExecutionCtxStreamCreate():
 
 
 @pytest.mark.skipif(
-    driverVersionLessThan(13010) or not supportsCudaAPI("cudaGraphConditionalHandleCreate_v2"),
+    driver_version_less_than(13010) or not supportsCudaAPI("cudaGraphConditionalHandleCreate_v2"),
     reason="Requires CUDA 13.1+",
 )
 def test_cudaGraphConditionalHandleCreate_v2():
diff --git a/cuda_bindings/tests/test_examples.py b/cuda_bindings/tests/test_examples.py
index 63a56c78fb7..652515830f8 100644
--- a/cuda_bindings/tests/test_examples.py
+++ b/cuda_bindings/tests/test_examples.py
@@ -7,8 +7,7 @@
 import sys
 
 import pytest
-
-from cuda.bindings._test_helpers.pep723 import has_package_requirements_or_skip
+from cuda_python_test_helpers.pep723 import has_package_requirements_or_skip
 
 examples_path = os.path.join(os.path.dirname(__file__), "..", "examples")
 examples_files = glob.glob(os.path.join(examples_path, "**/*.py"), recursive=True)
diff --git a/cuda_bindings/tests/test_interoperability.py b/cuda_bindings/tests/test_interoperability.py
index 18a37ec6b4e..08bac311a2d 100644
--- a/cuda_bindings/tests/test_interoperability.py
+++ b/cuda_bindings/tests/test_interoperability.py
@@ -3,10 +3,10 @@
 
 import numpy as np
 import pytest
+from cuda_python_test_helpers.mempool import xfail_if_mempool_oom
 
 import cuda.bindings.driver as cuda
 import cuda.bindings.runtime as cudart
-from cuda.bindings._test_helpers.mempool import xfail_if_mempool_oom
 
 
 def supportsMemoryPool():
diff --git a/cuda_core/build_hooks.py b/cuda_core/build_hooks.py
index dfd08d56733..626d50355ab 100644
--- a/cuda_core/build_hooks.py
+++ b/cuda_core/build_hooks.py
@@ -17,6 +17,7 @@
 from pathlib import Path
 
 from Cython.Build import cythonize
+from Cython.Compiler import Options as _CythonOptions
 from setuptools import Extension
 from setuptools import build_meta as _build_meta
 
@@ -45,9 +46,9 @@ def _import_get_cuda_path_or_home():
             cuda = None
 
         for p in sys.path:
-            sp_cuda = os.path.join(p, "cuda")
-            if os.path.isdir(os.path.join(sp_cuda, "pathfinder")):
-                cuda.__path__ = list(cuda.__path__) + [sp_cuda]
+            sp_cuda = Path(p) / "cuda"
+            if (sp_cuda / "pathfinder").is_dir():
+                cuda.__path__ = list(cuda.__path__) + [str(sp_cuda)]
                 break
         else:
             raise ModuleNotFoundError(
@@ -56,6 +57,11 @@ def _import_get_cuda_path_or_home():
             )
         import cuda.pathfinder
 
+    pathfinder_dir = Path(cuda.pathfinder.__file__).parent
+    print(
+        f"Using cuda-pathfinder {cuda.pathfinder.__version__} from {pathfinder_dir}",
+        file=sys.stderr,
+    )
     return cuda.pathfinder.get_cuda_path_or_home
 
 
@@ -127,6 +133,9 @@ def _build_cuda_core(debug=False):
     # This function populates "_extensions".
     global _extensions
 
+    # Resolve CUDA first so the pathfinder import repairs PEP 517 namespace shadowing before importing bindings.
+    cuda_path = _get_cuda_path()
+
     # Add cuda-bindings to sys.path so Cython can find .pxd files
     # This is needed for editable installs where meta path finders don't work for Cython
     # We need to add the directory containing the 'cuda' package so Cython can resolve
@@ -135,6 +144,7 @@ def _build_cuda_core(debug=False):
         import cuda.bindings
 
         bindings_path = Path(cuda.bindings.__file__).parent  # .../cuda/bindings/
+        print(f"Using cuda-bindings {cuda.bindings.__version__} from {bindings_path}", file=sys.stderr)
         cuda_package_dir = bindings_path.parent.parent  # .../cuda_bindings/ (contains cuda/)
         if str(cuda_package_dir) not in sys.path:
             sys.path.insert(0, str(cuda_package_dir))
@@ -171,7 +181,7 @@ def get_sources(mod_name):
 
         return sources
 
-    all_include_dirs = [os.path.join(_get_cuda_path(), "include")]
+    all_include_dirs = [os.path.join(cuda_path, "include")]
     extra_compile_args = []
     extra_link_args = []
     extra_cythonize_kwargs = {}
@@ -212,6 +222,7 @@ def get_sources(mod_name):
     nthreads = int(os.environ.get("CUDA_PYTHON_PARALLEL_LEVEL", os.cpu_count() // 2))
     compile_time_env = {"CUDA_CORE_BUILD_MAJOR": int(_determine_cuda_major_version())}
     compiler_directives = {"embedsignature": True, "warn.deprecated.IF": False, "freethreading_compatible": True}
+    _CythonOptions.warning_errors = True
     if COMPILE_FOR_COVERAGE:
         compiler_directives["linetrace"] = True
     _extensions = cythonize(
diff --git a/cuda_core/cuda/core/__init__.py b/cuda_core/cuda/core/__init__.py
index dc6fefdffea..b9a36e3dee7 100644
--- a/cuda_core/cuda/core/__init__.py
+++ b/cuda_core/cuda/core/__init__.py
@@ -69,45 +69,51 @@ class _PatchedProperty(metaclass=_PatchedPropMeta):
 
 
 from cuda.core import checkpoint, system, utils
-from cuda.core._context import Context, ContextOptions
-from cuda.core._device import Device
-from cuda.core._device_resources import (
-    DeviceResources,
-    SMResource,
-    SMResourceOptions,
-    WorkqueueResource,
-    WorkqueueResourceOptions,
-)
-from cuda.core._event import Event, EventOptions
-from cuda.core._graphics import GraphicsResource
-from cuda.core._host import Host
-from cuda.core._launch_config import LaunchConfig
-from cuda.core._launcher import launch
-from cuda.core._linker import Linker, LinkerOptions
-from cuda.core._memory import (
-    Buffer,
-    DeviceMemoryResource,
-    DeviceMemoryResourceOptions,
-    GraphMemoryResource,
-    LegacyPinnedMemoryResource,
-    ManagedBuffer,
-    ManagedMemoryResource,
-    ManagedMemoryResourceOptions,
-    MemoryResource,
-    PinnedMemoryResource,
-    PinnedMemoryResourceOptions,
-    VirtualMemoryResource,
-    VirtualMemoryResourceOptions,
-)
-from cuda.core._module import Kernel, ObjectCode
-from cuda.core._program import Program, ProgramOptions
-from cuda.core._stream import (
-    LEGACY_DEFAULT_STREAM,
-    PER_THREAD_DEFAULT_STREAM,
-    Stream,
-    StreamOptions,
-)
-from cuda.core._tensor_map import TensorMapDescriptor, TensorMapDescriptorOptions
+from cuda.core._context import *
+from cuda.core._context import __all__ as _context_all
+from cuda.core._device import *
+from cuda.core._device import __all__ as _device_all
+from cuda.core._device_resources import *
+from cuda.core._device_resources import __all__ as _device_resources_all
+from cuda.core._event import *
+from cuda.core._event import __all__ as _event_all
+from cuda.core._graphics import *
+from cuda.core._graphics import __all__ as _graphics_all
+from cuda.core._host import *
+from cuda.core._host import __all__ as _host_all
+from cuda.core._launch_config import *
+from cuda.core._launch_config import __all__ as _launch_config_all
+from cuda.core._launcher import *
+from cuda.core._launcher import __all__ as _launcher_all
+from cuda.core._linker import *
+from cuda.core._linker import __all__ as _linker_all
+from cuda.core._memory import *
+from cuda.core._memory import __all__ as _memory_all
+from cuda.core._module import *
+from cuda.core._module import __all__ as _module_all
+from cuda.core._program import *
+from cuda.core._program import __all__ as _program_all
+from cuda.core._stream import *
+from cuda.core._stream import __all__ as _stream_all
+from cuda.core._tensor_map import *
+from cuda.core._tensor_map import __all__ as _tensor_map_all
+
+__all__ = [
+    *_context_all,
+    *_device_all,
+    *_device_resources_all,
+    *_event_all,
+    *_graphics_all,
+    *_host_all,
+    *_launch_config_all,
+    *_launcher_all,
+    *_linker_all,
+    *_memory_all,
+    *_module_all,
+    *_program_all,
+    *_stream_all,
+    *_tensor_map_all,
+]
 
 # isort: split
 # Texture/surface types live under the cuda.core.texture namespace (not the
diff --git a/cuda_core/cuda/core/_cpp/GRAPH_ATTACHMENTS.md b/cuda_core/cuda/core/_cpp/GRAPH_ATTACHMENTS.md
index 89003ae0b7f..fdaf77785b2 100644
--- a/cuda_core/cuda/core/_cpp/GRAPH_ATTACHMENTS.md
+++ b/cuda_core/cuda/core/_cpp/GRAPH_ATTACHMENTS.md
@@ -77,12 +77,13 @@ The CUDA user-object reference count controls the attachment lifetime.
 `GraphAttachmentMap` only lets cuda.core find the attachment currently
 associated with a node.
 
-Each `NodeAttachment` contains two type-erased `OpaqueHandle` owners:
+Each `NodeAttachment` has two type-erased `OpaqueHandle` slots, allowing it to
+hold up to two node-specific resource owners. These are:
 
-- kernel: kernel and argument storage
-- host callback: callback and copied user data
-- memcpy: destination and source
-- memset or event: destination or event in the first owner
+- kernel node: kernel and argument storage
+- host callback node: callback and copied user data
+- memcpy node: destination and source
+- memset or event node: destination or event
 
 `OpaqueHandle` is `shared_ptr<const void>`. Existing cuda.core handles reuse
 their shared ownership when converted to it. Python objects and copied callback
@@ -93,23 +94,47 @@ published attachment. The resources those owners keep alive, including Python
 objects, may remain mutable, but they must not be modified in a way that
 releases resources still referenced by an installed parameter version.
 
+## Executable graph attachments
+
+Executable graphs can be modified after instantiation. Those updates may
+introduce new resources (events, memory, kernels, kernel parameters, and host
+callbacks) that must outlive in-flight launches. CUDA provides no way to attach
+user objects to an executable graph (`cuGraphRetainUserObject` accepts a
+`CUgraph` only), so cuda.core emulates that lifetime tracking.
+
+Before instantiation or whole-graph update, cuda.core retains one
+`ExecAttachments` accumulator on the source graph as a CUDA user object.
+Instantiation or `cuGraphExecUpdate` propagates that reference into the
+executable; cuda.core then releases the source graph's temporary reference so
+the executable (and its in-flight launches) own the accumulator. Individual
+node updates append owners to that accumulator through the same prepare/commit
+transaction used for definition attachments.
+
+Appended owners are never removed: each update can only grow the accumulator.
+A successful whole-graph update replaces the accumulator entirely, so the
+previous owners are dropped once their last launch finishes. Enable/disable
+attaches nothing. A child-graph update relies on CUDA cloning the replacement
+graph's user-object references, which carry the child definition's attachments.
+
 ## Deferred cleanup
 
 CUDA invokes a user-object destructor on an internal thread where CUDA API
 calls are forbidden. Destroying an attachment there could release handles whose
 deleters call CUDA or run Python finalizers.
 
-`NodeAttachment` therefore inherits from `DeferredCleanupItem`. The CUDA
+`NodeAttachment` and `ExecAttachments` therefore inherit from
+`DeferredCleanupItem`. The CUDA
 destructor callback only adds the attachment to the process-lifetime
 `DeferredCleanupQueue` and requests a `Py_AddPendingCall`.
 
 One pending call drains all queued attachments from Python's main thread. The
-queue coalesces work because CPython's pending-call queue is bounded. If
-scheduling fails, attachments stay queued and a later enqueue or safe cuda.core
-entry retries. Graph and executable-graph destruction and explicit close paths
-provide additional retry points. During Python finalization, scheduling stops
-and unreclaimable attachments are intentionally leaked rather than destroyed
-in an unsafe context.
+queue coalesces work because CPython's pending-call queue is bounded, and there
+could be many more deferred cleanup items than allowed pending calls. If
+`Py_AddPendingCall` fails, the attachments remain queued. A later successful
+`Py_AddPendingCall` will safely clean them up. Graph and executable-graph
+destruction and explicit close paths provide additional retry points. During
+Python finalization, scheduling stops and unreclaimable attachments are
+intentionally leaked rather than destroyed in an unsafe context.
 
 ## Graph hierarchy state
 
@@ -157,19 +182,15 @@ be invalidated when CUDA destroys that graph. They use separate
 
 ## Invariants
 
-1. The owner bundle of a published `NodeAttachment` is never modified in place.
+1. The owner bundle of a published `NodeAttachment` is never modified in place;
+   replace the whole bundle.
 2. CUDA user-object references, not metadata pointers, own attachments.
-3. Metadata is removed or replaced before its graph reference is released.
-4. Fallible attachment setup and metadata allocation happen before the CUDA
-   graph mutation they support.
-5. Every live cuda.core `CUgraph` has one canonical `GraphBox` and registry
-   entry.
-6. Graph boxes remain in parent-before-child order.
-7. Destroyed child boxes remain at stable addresses in the graveyard.
-8. A raw graph handle is unregistered before its box becomes a tombstone.
-9. CUDA callbacks only enqueue attachments; they never release owners or call
+3. Fallible attachment setup and metadata allocation happen before the CUDA
+   graph mutation they support; metadata is removed or replaced before its
+   graph reference is released.
+4. CUDA callbacks only enqueue attachments; they never release owners or call
    CUDA.
-10. Graph mutations and their metadata updates require the same external
+5. Graph mutations and their metadata updates require the same external
    synchronization as the underlying CUDA graph.
 
 ## Scope
@@ -177,10 +198,11 @@ be invalidated when CUDA destroys that graph. They use separate
 - Attachment metadata tracks graph mutations performed through cuda.core.
 - Raw driver clones receive the CUDA user-object references needed for safe
   execution, but cuda.core cannot reconstruct their node-to-attachment map.
-- Executable graphs rely on CUDA's inherited user-object references; they do
-  not use `GraphAttachmentMap`.
-- Direct executable-node updates require separate executable ownership and are
-  not tracked by definition attachment metadata.
+- Executable graphs keep one append-only accumulator instead of a
+  `GraphAttachmentMap`. cuda.core cannot map an executable node back to its
+  owners, so it can neither report nor release them individually.
+- Executable-node updates do not change definition attachment metadata, and
+  definition updates do not change an executable's accumulator.
 - Stream capture explicitly retains host callbacks. Other captured operations
   keep their documented caller-owned lifetime contract.
 - CPython's cyclic garbage collector cannot follow the ownership path from a
diff --git a/cuda_core/cuda/core/_cpp/resource_handles.cpp b/cuda_core/cuda/core/_cpp/resource_handles.cpp
index b3d2e3fe373..ef1b8d0f2f8 100644
--- a/cuda_core/cuda/core/_cpp/resource_handles.cpp
+++ b/cuda_core/cuda/core/_cpp/resource_handles.cpp
@@ -74,6 +74,8 @@ decltype(&cuLibraryGetKernel) p_cuLibraryGetKernel = nullptr;
 
 // Graph
 decltype(&cuGraphDestroy) p_cuGraphDestroy = nullptr;
+decltype(&cuGraphInstantiateWithParams) p_cuGraphInstantiateWithParams = nullptr;
+decltype(&cuGraphExecUpdate) p_cuGraphExecUpdate = nullptr;
 decltype(&cuGraphExecDestroy) p_cuGraphExecDestroy = nullptr;
 decltype(&cuUserObjectCreate) p_cuUserObjectCreate = nullptr;
 decltype(&cuUserObjectRelease) p_cuUserObjectRelease = nullptr;
@@ -361,6 +363,15 @@ class HandleRegistry {
         map_.erase(key);
     }
 
+    void register_handles(const std::vector<Handle>& handles) {
+        std::lock_guard<std::mutex> lock(mutex_);
+        for (const Handle& h : handles) {
+            if (h) {
+                map_[*h] = h;
+            }
+        }
+    }
+
     Handle lookup(const Key& key) {
         std::lock_guard<std::mutex> lock(mutex_);
         auto it = map_.find(key);
@@ -1341,7 +1352,8 @@ struct GraphHierarchy {
 };
 
 // See REGISTRY_DESIGN.md (Level 1: Driver Handle -> Resource Handle)
-static HandleRegistry<CUgraph, GraphHandle> graph_registry;
+using GraphRegistry = HandleRegistry<CUgraph, GraphHandle>;
+static GraphRegistry graph_registry;
 
 // Immutable resource owners for one version of a graph node's parameters.
 // Inheriting DeferredCleanupItem lets CUDA's user-object destructor enqueue
@@ -1404,52 +1416,71 @@ CUresult rekey_attachments(
     return CUDA_SUCCESS;
 }
 
-// Recursively copy and rekey attachments for a cloned graph hierarchy.
-// The caller must release the GIL before calling this function.
-CUresult copy_attachments(
+struct StagedGraphMetadata {
+    const GraphBox* source;
+    GraphBox* clone;
+    GraphAttachmentMap* attachments;
+};
+using StagedGraphMetadataList = std::vector<StagedGraphMetadata>;
+
+// Copy a source hierarchy into detached metadata before CUDA mutation.
+void stage_graph_metadata(
         const GraphBox& source,
         GraphBox& clone,
         GraphAttachmentMap& attachments,
-        std::list<GraphBox>& subgraphs) {
-    if (!p_cuGraphNodeFindInClone || !p_cuGraphChildGraphNodeGetGraph) {
-        return CUDA_ERROR_NOT_SUPPORTED;
-    }
-
+        std::list<GraphBox>& subgraphs,
+        StagedGraphMetadataList& staged) {
     attachments = source.attachments;
-    CUresult status = rekey_attachments(attachments, clone.resource);
-    if (status != CUDA_SUCCESS) {
-        return status;
-    }
+    staged.push_back({&source, &clone, &attachments});
 
     for (const GraphBox& source_child : source.hierarchy->graphs) {
         if (source_child.parent != &source || !source_child.resource) {
             continue;
         }
-
-        CUgraphNode cloned_owner = nullptr;
-        status = p_cuGraphNodeFindInClone(
-            &cloned_owner, source_child.owner_node, clone.resource);
-        if (status != CUDA_SUCCESS) {
-            return status;
-        }
-
-        CUgraph cloned_graph = nullptr;
-        status = p_cuGraphChildGraphNodeGetGraph(
-            cloned_owner, &cloned_graph);
-        if (status != CUDA_SUCCESS) {
-            return status;
-        }
-
         GraphBox& cloned_child = subgraphs.emplace_back(
-            cloned_graph,
+            nullptr,
             clone.hierarchy,
             &clone,
-            cloned_owner);
-        status = copy_attachments(
+            nullptr);
+        stage_graph_metadata(
             source_child,
             cloned_child,
             cloned_child.attachments,
-            subgraphs);
+            subgraphs,
+            staged);
+    }
+}
+
+// Bind staged metadata to a CUDA-cloned hierarchy. The root clone resource
+// must be populated before entry. The caller must release the GIL.
+CUresult rekey_graph_metadata(
+        StagedGraphMetadataList& staged) {
+    if (!p_cuGraphNodeFindInClone || !p_cuGraphChildGraphNodeGetGraph) {
+        return CUDA_ERROR_NOT_SUPPORTED;
+    }
+
+    CUresult status;
+    for (size_t i = 0; i < staged.size(); ++i) {
+        const GraphBox& source = *staged[i].source;
+        GraphBox& clone = *staged[i].clone;
+        if (i != 0) {
+            CUgraphNode cloned_owner = nullptr;
+            status = p_cuGraphNodeFindInClone(
+                &cloned_owner,
+                source.owner_node,
+                clone.parent->resource);
+            if (status == CUDA_SUCCESS) {
+                status = p_cuGraphChildGraphNodeGetGraph(
+                    cloned_owner, &clone.resource);
+            }
+            if (status != CUDA_SUCCESS) {
+                return status;
+            }
+            clone.owner_node = cloned_owner;
+        }
+
+        status = rekey_attachments(
+            *staged[i].attachments, clone.resource);
         if (status != CUDA_SUCCESS) {
             return status;
         }
@@ -1497,6 +1528,29 @@ void rollback_prepared_attachment(
     delete state;
 }
 
+// Detached metadata for a replacement embedded graph hierarchy. Preparation
+// copies every attachment map and allocates every GraphBox before CUDA destroys
+// the old embedded graph. Commit only rekeys and publishes it.
+struct PreparedChildGraphUpdateState {
+    GraphHandle h_parent;
+    GraphHandle h_source;
+    GraphBox* old_root = nullptr;
+    CUgraphNode owner_node = nullptr;
+    std::list<GraphBox> replacement;
+    StagedGraphMetadataList staged;
+    std::vector<GraphHandle> handles;
+
+    PreparedChildGraphUpdateState(
+            GraphHandle h_parent_,
+            GraphHandle h_source_,
+            GraphBox* old_root_,
+            CUgraphNode owner_node_)
+        : h_parent(std::move(h_parent_)),
+          h_source(std::move(h_source_)),
+          old_root(old_root_),
+          owner_node(owner_node_) {}
+};
+
 GraphHandle create_graph_handle(CUgraph graph) {
     if (!graph) {
         return {};
@@ -1543,15 +1597,112 @@ GraphHandle create_child_graph_handle(
         child_graph, hierarchy, parent, owner_node);
 
     GraphHandle h_child(h_parent, &child.resource);
-    try {
-        graph_registry.register_handle(child_graph, h_child);
-    } catch (...) {
-        hierarchy->graphs.pop_back();
-        throw;
-    }
+    graph_registry.register_handle(child_graph, h_child);
     return h_child;
 }
 
+CUresult graph_prepare_child_graph_update(
+        const GraphHandle& h_parent,
+        const GraphHandle& h_old_child,
+        CUgraphNode owner_node,
+        const GraphHandle& h_source,
+        PreparedChildGraphUpdate* out_prepared) {
+    if (!h_parent || !h_old_child || !owner_node ||
+        !h_source || !out_prepared) {
+        return CUDA_ERROR_INVALID_VALUE;
+    }
+    out_prepared->reset();
+
+    GraphBox* parent = get_box(h_parent);
+    GraphBox* old_root = get_box(h_old_child);
+    GraphBox* source = get_box(h_source);
+    // A source from the destination hierarchy can include the old embedded
+    // subtree whose raw node keys CUDA destroys during replacement.
+    if (!parent->resource || !old_root->resource || !source->resource ||
+        old_root->parent != parent ||
+        old_root->owner_node != owner_node ||
+        source->hierarchy == parent->hierarchy) {
+        return CUDA_ERROR_INVALID_VALUE;
+    }
+
+    PreparedChildGraphUpdate prepared =
+        std::make_shared<PreparedChildGraphUpdateState>(
+            h_parent, h_source, old_root, owner_node);
+
+    GraphBox& replacement_root =
+        prepared->replacement.emplace_back(
+            nullptr, parent->hierarchy, parent, owner_node);
+    stage_graph_metadata(
+        *source,
+        replacement_root,
+        replacement_root.attachments,
+        prepared->replacement,
+        prepared->staged);
+
+    const size_t graph_count = prepared->staged.size();
+    prepared->handles.reserve(graph_count);
+    for (const StagedGraphMetadata& graph : prepared->staged) {
+        prepared->handles.emplace_back(
+            h_parent, &graph.clone->resource);
+    }
+
+    *out_prepared = std::move(prepared);
+    return CUDA_SUCCESS;
+}
+
+void publish_child_graph_update(
+        PreparedChildGraphUpdateState& state,
+        GraphHandle* out_child) {
+    GraphBox* parent = get_box(state.h_parent);
+    parent->hierarchy->graphs.splice(
+        parent->hierarchy->graphs.end(), state.replacement);
+    *out_child = state.handles.front();
+    graph_registry.register_handles(state.handles);
+}
+
+CUresult graph_commit_child_graph_update(
+        PreparedChildGraphUpdate& prepared,
+        GraphHandle* out_child) {
+    if (!prepared || !out_child) {
+        return CUDA_ERROR_INVALID_VALUE;
+    }
+    out_child->reset();
+
+    PreparedChildGraphUpdateState& state = *prepared;
+    GraphBox* parent = get_box(state.h_parent);
+    if (!parent->resource || !state.old_root->resource) {
+        prepared.reset();
+        return CUDA_ERROR_INVALID_VALUE;
+    }
+
+    CUresult status = CUDA_ERROR_NOT_SUPPORTED;
+    CUgraph cloned_root = nullptr;
+    if (p_cuGraphChildGraphNodeGetGraph) {
+        GILReleaseGuard gil;
+        status = p_cuGraphChildGraphNodeGetGraph(
+            state.owner_node, &cloned_root);
+        if (status == CUDA_SUCCESS) {
+            state.staged.front().clone->resource = cloned_root;
+            status = rekey_graph_metadata(state.staged);
+        }
+    }
+
+    // CUDA has already destroyed the old embedded graph. No replacement
+    // metadata is visible yet, so this selects only the old generation.
+    invalidate_child_graph_state(
+        state.h_parent, state.owner_node);
+
+    if (status != CUDA_SUCCESS) {
+        prepared.reset();
+        throw std::runtime_error(
+            "failed to update graph metadata after child graph replacement");
+    }
+
+    publish_child_graph_update(state, out_child);
+    prepared.reset();
+    return status;
+}
+
 CUresult graph_get_attachment(
         const GraphHandle& h_graph, CUgraphNode node,
         OpaqueHandle* owner0, OpaqueHandle* owner1) {
@@ -1727,13 +1878,22 @@ CUresult graph_clone_attachments(
 
     // Build and rekey the clone metadata off-hierarchy so a CUDA mapping error
     // cannot partially publish it.
-    GraphAttachmentMap attachments = source->attachments;
+    GraphAttachmentMap attachments;
     std::list<GraphBox> subgraphs;
+    StagedGraphMetadataList staged;
+    stage_graph_metadata(
+        *source, *clone, attachments, subgraphs, staged);
+
+    std::vector<GraphHandle> handles;
+    handles.reserve(subgraphs.size());
+    for (GraphBox& graph : subgraphs) {
+        handles.emplace_back(h_clone, &graph.resource);
+    }
+
     CUresult status;
     {
         GILReleaseGuard gil;
-        status = copy_attachments(
-            *source, *clone, attachments, subgraphs);
+        status = rekey_graph_metadata(staged);
     }
     if (status != CUDA_SUCCESS) {
         return status;
@@ -1744,13 +1904,9 @@ CUresult graph_clone_attachments(
         return CUDA_SUCCESS;
     }
 
-    auto first = subgraphs.begin();
     clone->hierarchy->graphs.splice(
         clone->hierarchy->graphs.end(), subgraphs);
-    for (auto it = first; it != clone->hierarchy->graphs.end(); ++it) {
-        GraphHandle h_graph(h_clone, &it->resource);
-        graph_registry.register_handle(it->resource, h_graph);
-    }
+    graph_registry.register_handles(handles);
     return CUDA_SUCCESS;
 }
 
@@ -1759,26 +1915,274 @@ CUresult graph_clone_attachments(
 // ============================================================================
 
 namespace {
+
+// Append-only owners introduced by individual executable-node updates. CUDA
+// owns this payload through a user object propagated into the CUgraphExec.
+struct ExecAttachments : DeferredCleanupItem {
+    CUuserObject object = nullptr;
+    std::vector<OpaqueHandle> owners;
+};
+
 struct GraphExecBox {
-    CUgraphExec resource;
+    CUgraphExec resource = nullptr;
+    ExecAttachments* attachments = nullptr;  // Non-owning.
+
+    ~GraphExecBox() noexcept {
+        if (resource) {
+            GILReleaseGuard gil;
+            p_cuGraphExecDestroy(resource);
+        }
+        // The accumulator fields may be dangling after exec destruction.
+        retry_deferred_cleanup();
+    }
 };
-}  // namespace
 
-GraphExecHandle create_graph_exec_handle(CUgraphExec graph_exec) {
-    auto box = std::shared_ptr<const GraphExecBox>(
-        new GraphExecBox{graph_exec},
-        [](const GraphExecBox* b) {
-            {
+GraphExecBox* get_exec_box(const GraphExecHandle& h) noexcept {
+    return const_cast<GraphExecBox*>(
+        reinterpret_cast<const GraphExecBox*>(h.get()));
+}
+
+GraphExecHandle make_graph_exec_handle(
+        CUgraphExec graph_exec, ExecAttachments* attachments) {
+    struct RawGraphExecGuard {
+        CUgraphExec resource;
+
+        ~RawGraphExecGuard() noexcept {
+            if (resource) {
                 GILReleaseGuard gil;
-                p_cuGraphExecDestroy(b->resource);
+                p_cuGraphExecDestroy(resource);
             }
             retry_deferred_cleanup();
-            delete b;
         }
-    );
+    } guard{graph_exec};
+
+    auto box = std::make_shared<GraphExecBox>();
+    box->resource = graph_exec;
+    box->attachments = attachments;
+    guard.resource = nullptr;
     return GraphExecHandle(box, &box->resource);
 }
 
+// Holds a fresh accumulator retained on the source graph across a CUDA call
+// that propagates user objects into an exec. Releasing drops the source's
+// reference: after successful propagation the exec keeps the accumulator
+// alive, and otherwise this drops its last reference.
+struct ExecAttachmentStaging {
+    GraphHandle h_source;
+    ExecAttachments* accumulator = nullptr;
+
+    ~ExecAttachmentStaging() noexcept {
+        release();
+    }
+
+    CUresult release() noexcept {
+        if (!h_source || !accumulator) {
+            return CUDA_SUCCESS;
+        }
+        const CUuserObject object = accumulator->object;
+        const GraphHandle source = std::move(h_source);
+        accumulator = nullptr;
+        GILReleaseGuard gil;
+        return p_cuGraphReleaseUserObject(*source, object, 1);
+    }
+};
+
+// Create an accumulator and retain it on h_source, so that a following
+// instantiation or whole-graph update propagates a reference into the exec.
+CUresult stage_exec_attachments(
+        const GraphHandle& h_source, ExecAttachmentStaging* out_staging) {
+    if (!p_cuUserObjectCreate || !p_cuUserObjectRelease ||
+        !p_cuGraphRetainUserObject || !p_cuGraphReleaseUserObject) {
+        return CUDA_ERROR_NOT_SUPPORTED;
+    }
+
+    ensure_deferred_cleanup_ready();
+    auto* accumulator = new ExecAttachments;
+
+    CUuserObject object = nullptr;
+    CUresult status;
+    {
+        GILReleaseGuard gil;
+        status = p_cuUserObjectCreate(
+            &object,
+            static_cast<DeferredCleanupItem*>(accumulator),
+            reinterpret_cast<CUhostFn>(enqueue_cleanup),
+            1,
+            CU_USER_OBJECT_NO_DESTRUCTOR_SYNC);
+        if (status != CUDA_SUCCESS) {
+            delete accumulator;
+            return status;
+        }
+        accumulator->object = object;
+        status = p_cuGraphRetainUserObject(
+            *h_source, object, 1, CU_GRAPH_USER_OBJECT_MOVE);
+        if (status != CUDA_SUCCESS) {
+            // Dropping the last reference retires the accumulator.
+            p_cuUserObjectRelease(object, 1);
+            return status;
+        }
+    }
+
+    out_staging->h_source = h_source;
+    out_staging->accumulator = accumulator;
+    return CUDA_SUCCESS;
+}
+
+}  // namespace
+
+// State held by PreparedExecAttachment between preparation and commit. It keeps
+// the exec alive and remembers the accumulator size before the append, so that
+// rollback can drop owners staged for a mutation that CUDA rejected.
+struct PreparedExecAttachmentState {
+    GraphExecHandle h_exec;
+    ExecAttachments* attachments = nullptr;
+    size_t original_size = 0;
+
+    PreparedExecAttachmentState(
+            GraphExecHandle h_exec_,
+            ExecAttachments* attachments_,
+            size_t original_size_)
+        : h_exec(std::move(h_exec_)),
+          attachments(attachments_),
+          original_size(original_size_) {}
+};
+
+void rollback_prepared_exec_attachment(
+        PreparedExecAttachmentState* state) noexcept {
+    if (!state) {
+        return;
+    }
+    if (state->attachments) {
+        while (state->attachments->owners.size() > state->original_size) {
+            state->attachments->owners.pop_back();
+        }
+    }
+    delete state;
+}
+
+GraphExecHandle create_graph_exec_handle(
+        const GraphHandle& h_source,
+        CUDA_GRAPH_INSTANTIATE_PARAMS* params) {
+    if (!h_source || !*h_source || !params) {
+        err = CUDA_ERROR_INVALID_VALUE;
+        return {};
+    }
+    if (!p_cuGraphInstantiateWithParams) {
+        err = CUDA_ERROR_NOT_SUPPORTED;
+        return {};
+    }
+
+    ExecAttachmentStaging staging;
+    if (CUDA_SUCCESS != (err = stage_exec_attachments(h_source, &staging))) {
+        return {};
+    }
+
+    CUgraphExec graph_exec = nullptr;
+    {
+        GILReleaseGuard gil;
+        err = p_cuGraphInstantiateWithParams(&graph_exec, *h_source, params);
+    }
+    if (err != CUDA_SUCCESS) {
+        return {};
+    }
+    // CUDA can report a specific failure while returning success. The exec is
+    // then unusable, so it stays unadopted for the caller to diagnose from
+    // params->result_out.
+    if (params->result_out != CUDA_GRAPH_INSTANTIATE_SUCCESS) {
+        return {};
+    }
+    if (!graph_exec) {
+        err = CUDA_ERROR_INVALID_VALUE;
+        return {};
+    }
+
+    GraphExecHandle h_exec = make_graph_exec_handle(
+        graph_exec, staging.accumulator);
+    if (CUDA_SUCCESS != (err = staging.release())) {
+        return {};
+    }
+    return h_exec;
+}
+
+CUresult graph_exec_update(
+        const GraphExecHandle& h_exec,
+        const GraphHandle& h_source,
+        CUgraphExecUpdateResultInfo* result_info) {
+    if (!h_exec || !h_source || !*h_source || !result_info) {
+        return CUDA_ERROR_INVALID_VALUE;
+    }
+    if (!p_cuGraphExecUpdate) {
+        return CUDA_ERROR_NOT_SUPPORTED;
+    }
+
+    GraphExecBox* box = get_exec_box(h_exec);
+    if (!box->resource) {
+        return CUDA_ERROR_INVALID_VALUE;
+    }
+
+    ExecAttachmentStaging staging;
+    CUresult status = stage_exec_attachments(h_source, &staging);
+    if (status != CUDA_SUCCESS) {
+        return status;
+    }
+
+    {
+        GILReleaseGuard gil;
+        status = p_cuGraphExecUpdate(box->resource, *h_source, result_info);
+    }
+    if (status != CUDA_SUCCESS) {
+        return status;
+    }
+
+    // CUDA may already have retired the old accumulator. Publish the new one
+    // before releasing the source graph's temporary reference.
+    box->attachments = staging.accumulator;
+    return staging.release();
+}
+
+CUresult graph_prepare_exec_attachment(
+        const GraphExecHandle& h_exec,
+        OpaqueHandle owner0,
+        OpaqueHandle owner1,
+        PreparedExecAttachment* out_prepared) {
+    if (!out_prepared) {
+        return CUDA_ERROR_INVALID_VALUE;
+    }
+    out_prepared->reset();
+    if (!h_exec) {
+        return CUDA_ERROR_INVALID_VALUE;
+    }
+
+    GraphExecBox* box = get_exec_box(h_exec);
+    if (!box->resource || !box->attachments) {
+        return CUDA_ERROR_INVALID_VALUE;
+    }
+
+    ExecAttachments* attachments = box->attachments;
+    const size_t original_size = attachments->owners.size();
+    const size_t additions =
+        static_cast<size_t>(static_cast<bool>(owner0)) +
+        static_cast<size_t>(static_cast<bool>(owner1));
+    // Reserve before staging so that rollback and commit cannot allocate.
+    attachments->owners.reserve(original_size + additions);
+    PreparedExecAttachment prepared(
+        new PreparedExecAttachmentState(h_exec, attachments, original_size),
+        PreparedExecAttachmentDeleter{rollback_prepared_exec_attachment});
+    if (owner0) {
+        attachments->owners.emplace_back(std::move(owner0));
+    }
+    if (owner1) {
+        attachments->owners.emplace_back(std::move(owner1));
+    }
+    *out_prepared = std::move(prepared);
+    return CUDA_SUCCESS;
+}
+
+void graph_commit_exec_attachment(
+        PreparedExecAttachment& prepared) noexcept {
+    delete prepared.release();
+}
+
 namespace {
 struct GraphNodeBox {
     mutable CUgraphNode resource;
diff --git a/cuda_core/cuda/core/_cpp/resource_handles.hpp b/cuda_core/cuda/core/_cpp/resource_handles.hpp
index 3a9d2d75cff..6a1a0edd6c7 100644
--- a/cuda_core/cuda/core/_cpp/resource_handles.hpp
+++ b/cuda_core/cuda/core/_cpp/resource_handles.hpp
@@ -108,6 +108,8 @@ extern decltype(&cuLibraryGetKernel) p_cuLibraryGetKernel;
 
 // Graph
 extern decltype(&cuGraphDestroy) p_cuGraphDestroy;
+extern decltype(&cuGraphInstantiateWithParams) p_cuGraphInstantiateWithParams;
+extern decltype(&cuGraphExecUpdate) p_cuGraphExecUpdate;
 extern decltype(&cuGraphExecDestroy) p_cuGraphExecDestroy;
 extern decltype(&cuUserObjectCreate) p_cuUserObjectCreate;
 extern decltype(&cuUserObjectRelease) p_cuUserObjectRelease;
@@ -516,6 +518,27 @@ struct PreparedAttachmentDeleter {
 using PreparedAttachment =
     std::unique_ptr<PreparedAttachmentState, PreparedAttachmentDeleter>;
 
+struct PreparedChildGraphUpdateState;
+// Opaque unpublished hierarchy transaction; releasing it discards staged
+// metadata unless graph_commit_child_graph_update publishes the replacement.
+using PreparedChildGraphUpdate =
+    std::shared_ptr<PreparedChildGraphUpdateState>;
+
+struct PreparedExecAttachmentState;
+using PreparedExecAttachmentRollback =
+    void (*)(PreparedExecAttachmentState*) noexcept;
+struct PreparedExecAttachmentDeleter {
+    PreparedExecAttachmentRollback rollback = nullptr;
+
+    void operator()(PreparedExecAttachmentState* state) const noexcept {
+        rollback(state);
+    }
+};
+// Opaque append transaction. Releasing it rolls back newly appended owners
+// unless graph_commit_exec_attachment has kept them.
+using PreparedExecAttachment =
+    std::unique_ptr<PreparedExecAttachmentState, PreparedExecAttachmentDeleter>;
+
 // Copy requested owners from node's current attachment. Pass nullptr to ignore
 // either owner; a missing attachment produces empty handles.
 CUresult graph_get_attachment(
@@ -543,6 +566,21 @@ CUresult graph_clone_attachments(
     const GraphHandle& h_clone,
     const GraphHandle& h_source);
 
+// Stage a complete metadata replacement before CUDA replaces an embedded
+// graph. Dropping the prepared state leaves the current hierarchy unchanged.
+CUresult graph_prepare_child_graph_update(
+    const GraphHandle& h_parent,
+    const GraphHandle& h_old_child,
+    CUgraphNode owner_node,
+    const GraphHandle& h_source,
+    PreparedChildGraphUpdate* out_prepared);
+
+// Rekey staged metadata to CUDA's replacement clone, retire the old embedded
+// hierarchy, and publish the replacement handle.
+CUresult graph_commit_child_graph_update(
+    PreparedChildGraphUpdate& prepared,
+    GraphHandle* out_child);
+
 // Invalidate cuda.core state for child graphs CUDA destroyed with owner_node.
 void invalidate_child_graph_state(
     const GraphHandle& h_parent,
@@ -552,9 +590,39 @@ void invalidate_child_graph_state(
 // Graph exec handle functions
 // ============================================================================
 
-// Wrap an externally-created CUgraphExec with RAII cleanup.
-// When the last reference is released, cuGraphExecDestroy is called automatically.
-GraphExecHandle create_graph_exec_handle(CUgraphExec graph_exec);
+// Create an owning exec handle by calling cuGraphInstantiateWithParams.
+// A fresh attachment accumulator is retained on h_source first, because CUDA
+// propagates user object references only at instantiation; an exec cannot
+// receive them afterwards. The exec is the sole owner once this returns.
+// When the last reference is released, cuGraphExecDestroy is called
+// automatically.
+// Returns empty handle on error (caller must check). The caller reads
+// params->result_out for the specific instantiation failure and
+// get_last_error() for a driver status.
+GraphExecHandle create_graph_exec_handle(
+    const GraphHandle& h_source,
+    CUDA_GRAPH_INSTANTIATE_PARAMS* params);
+
+// Update h_exec in place by calling cuGraphExecUpdate, and publish a fresh
+// accumulator when CUDA accepts the update. Writes result_info for the caller.
+CUresult graph_exec_update(
+    const GraphExecHandle& h_exec,
+    const GraphHandle& h_source,
+    CUgraphExecUpdateResultInfo* result_info);
+
+// Append owners before an executable-node mutation. The accumulator grows
+// because CUDA cannot attach user objects to an exec after instantiation, so
+// old owners stay reachable. Dropping the transaction restores the accumulator
+// to its original size.
+CUresult graph_prepare_exec_attachment(
+    const GraphExecHandle& h_exec,
+    OpaqueHandle owner0,
+    OpaqueHandle owner1,
+    PreparedExecAttachment* out_prepared);
+
+// Keep the owners added by graph_prepare_exec_attachment.
+void graph_commit_exec_attachment(
+    PreparedExecAttachment& prepared) noexcept;
 
 // ============================================================================
 // Graph node handle functions
@@ -733,6 +801,10 @@ inline CUlibrary as_cu(const LibraryHandle& h) noexcept {
     return h ? *h : nullptr;
 }
 
+inline CUmodule as_cu(const CUmodule& h) noexcept {
+    return h;
+}
+
 inline CUkernel as_cu(const KernelHandle& h) noexcept {
     return h ? *h : nullptr;
 }
@@ -817,6 +889,10 @@ inline std::intptr_t as_intptr(const LibraryHandle& h) noexcept {
     return reinterpret_cast<std::intptr_t>(as_cu(h));
 }
 
+inline std::intptr_t as_intptr(const CUmodule& h) noexcept {
+    return reinterpret_cast<std::intptr_t>(as_cu(h));
+}
+
 inline std::intptr_t as_intptr(const KernelHandle& h) noexcept {
     return reinterpret_cast<std::intptr_t>(as_cu(h));
 }
@@ -947,6 +1023,10 @@ inline PyObject* as_py(const LibraryHandle& h) noexcept {
     return detail::make_py("cuda.bindings.driver", "CUlibrary", as_intptr(h));
 }
 
+inline PyObject* as_py(const CUmodule& h) noexcept {
+    return detail::make_py("cuda.bindings.driver", "CUmodule", as_intptr(h));
+}
+
 inline PyObject* as_py(const KernelHandle& h) noexcept {
     return detail::make_py("cuda.bindings.driver", "CUkernel", as_intptr(h));
 }
diff --git a/cuda_core/cuda/core/_device.pyx b/cuda_core/cuda/core/_device.pyx
index fb2827ded55..c148ebb78f8 100644
--- a/cuda_core/cuda/core/_device.pyx
+++ b/cuda_core/cuda/core/_device.pyx
@@ -61,6 +61,8 @@ _tls = threading.local()
 _lock = threading.Lock()
 cdef bint _is_cuInit = False
 
+__all__ = ['Device']
+
 
 cdef class DeviceProperties:
     """
@@ -922,34 +924,46 @@ cdef class DeviceProperties:
     @property
     def host_memory_pools_supported(self) -> bool:
         """bool: Device supports HOST location with the cuMemAllocAsync and cuMemPool family of APIs."""
-        return bool(
-            self._get_cached_attribute(driver.CUdevice_attribute.CU_DEVICE_ATTRIBUTE_HOST_MEMORY_POOLS_SUPPORTED)
-        )
+        IF CUDA_CORE_BUILD_MAJOR < 13:
+            return False
+        ELSE:
+            return bool(
+                self._get_cached_attribute(driver.CUdevice_attribute.CU_DEVICE_ATTRIBUTE_HOST_MEMORY_POOLS_SUPPORTED)
+            )
 
     @property
     def host_virtual_memory_management_supported(self) -> bool:
         """bool: Device supports HOST location with the virtual memory management APIs like cuMemCreate, cuMemMap and related APIs."""
-        return bool(
-            self._get_cached_attribute(
-                driver.CUdevice_attribute.CU_DEVICE_ATTRIBUTE_HOST_VIRTUAL_MEMORY_MANAGEMENT_SUPPORTED
+        IF CUDA_CORE_BUILD_MAJOR < 13:
+            return False
+        ELSE:
+            return bool(
+                self._get_cached_attribute(
+                    driver.CUdevice_attribute.CU_DEVICE_ATTRIBUTE_HOST_VIRTUAL_MEMORY_MANAGEMENT_SUPPORTED
+                )
             )
-        )
 
     @property
     def host_alloc_dma_buf_supported(self) -> bool:
         """bool: Device supports page-locked host memory buffer sharing with dma_buf mechanism."""
-        return bool(
-            self._get_cached_attribute(driver.CUdevice_attribute.CU_DEVICE_ATTRIBUTE_HOST_ALLOC_DMA_BUF_SUPPORTED)
-        )
+        IF CUDA_CORE_BUILD_MAJOR < 13:
+            return False
+        ELSE:
+            return bool(
+                self._get_cached_attribute(driver.CUdevice_attribute.CU_DEVICE_ATTRIBUTE_HOST_ALLOC_DMA_BUF_SUPPORTED)
+            )
 
     @property
     def only_partial_host_native_atomic_supported(self) -> bool:
         """bool: Link between the device and the host supports only some native atomic operations."""
-        return bool(
-            self._get_cached_attribute(
-                driver.CUdevice_attribute.CU_DEVICE_ATTRIBUTE_ONLY_PARTIAL_HOST_NATIVE_ATOMIC_SUPPORTED
+        IF CUDA_CORE_BUILD_MAJOR < 13:
+            return False
+        ELSE:
+            return bool(
+                self._get_cached_attribute(
+                    driver.CUdevice_attribute.CU_DEVICE_ATTRIBUTE_ONLY_PARTIAL_HOST_NATIVE_ATOMIC_SUPPORTED
+                )
             )
-        )
 
 
 class Device:
@@ -1290,7 +1304,10 @@ class Device:
             # use primary ctx
             h_context = get_primary_context(self._device_id)
             if h_context.get() == NULL:
-                raise ValueError("Cannot set NULL context as current")
+                HANDLE_RETURN(get_last_error())
+                raise RuntimeError(
+                    f"Failed to retain the primary context for device {self._device_id}"
+                )
             with nogil:
                 HANDLE_RETURN(cydriver.cuCtxSetCurrent(as_cu(h_context)))
             self._has_inited = True
@@ -1319,7 +1336,6 @@ class Device:
         cdef object res
         cdef SMResource sm_res
         cdef WorkqueueResource wq_res
-        cdef GreenCtxHandle h_green
 
         if options is None:
             raise ValueError(
@@ -1351,7 +1367,7 @@ class Device:
             else:
                 raise TypeError(f"Unsupported context resource type: {type(res)}")
 
-        h_green = create_green_ctx_handle(
+        cdef GreenCtxHandle h_green = create_green_ctx_handle(
             c_resources.data(),
             <unsigned int>(c_resources.size()),
             <cydriver.CUdevice>(self._device_id),
diff --git a/cuda_core/cuda/core/_device_resources.pyx b/cuda_core/cuda/core/_device_resources.pyx
index 0c952821a04..15ca6c56685 100644
--- a/cuda_core/cuda/core/_device_resources.pyx
+++ b/cuda_core/cuda/core/_device_resources.pyx
@@ -250,7 +250,6 @@ cdef object _resolve_split_by_count_request(SMResourceOptions options):
     cdef list counts = _broadcast_field(options.count, n_groups)
     cdef object first = counts[0]
     cdef object value
-    cdef unsigned int min_count
 
     if options.coscheduled_sm_count is not None:
         raise RuntimeError(
@@ -270,7 +269,7 @@ cdef object _resolve_split_by_count_request(SMResourceOptions options):
                 "use CUDA 13.1 or newer for per-group counts"
             )
 
-    min_count = _to_sm_count(first)
+    cdef unsigned int min_count = _to_sm_count(first)
     return n_groups, min_count
 
 
diff --git a/cuda_core/cuda/core/_dlpack.pyx b/cuda_core/cuda/core/_dlpack.pyx
index 0c251881d11..a41b3a73e85 100644
--- a/cuda_core/cuda/core/_dlpack.pyx
+++ b/cuda_core/cuda/core/_dlpack.pyx
@@ -115,10 +115,8 @@ cdef inline int setup_dl_tensor_device(DLTensor* dl_tensor, object buf) except -
 
 
 cdef inline int setup_dl_tensor_dtype(DLTensor* dl_tensor) except -1 nogil:
-    cdef DLDataType* dtype = &dl_tensor.dtype
-    dtype.code = <uint8_t>kDLInt
-    dtype.lanes = <uint16_t>1
-    dtype.bits = <uint8_t>8
+    dl_tensor.dtype = DLDataType(
+        code=<uint8_t>kDLInt, bits=<uint8_t>8, lanes=<uint16_t>1)
     return 0
 
 
diff --git a/cuda_core/cuda/core/_event.pyx b/cuda_core/cuda/core/_event.pyx
index e5cb81ac41e..314347f6cce 100644
--- a/cuda_core/cuda/core/_event.pyx
+++ b/cuda_core/cuda/core/_event.pyx
@@ -43,6 +43,8 @@ if TYPE_CHECKING:
     import cuda.bindings.driver  # no-cython-lint
     from cuda.core._device import Device
 
+__all__ = ['Event', 'EventOptions']
+
 
 @dataclass
 cdef class EventOptions:
diff --git a/cuda_core/cuda/core/_graphics.pyx b/cuda_core/cuda/core/_graphics.pyx
index c5fc5c83ecc..764e2ec7688 100644
--- a/cuda_core/cuda/core/_graphics.pyx
+++ b/cuda_core/cuda/core/_graphics.pyx
@@ -209,10 +209,9 @@ cdef class GraphicsResource:
         return self
 
     def _get_mapped_buffer(self) -> object:
-        cdef Buffer buf
         if self._mapped_buffer is None:
             return None
-        buf = <Buffer>self._mapped_buffer
+        cdef Buffer buf = <Buffer>self._mapped_buffer
         if not buf._h_ptr:
             self._mapped_buffer = None
             return None
@@ -250,20 +249,16 @@ cdef class GraphicsResource:
         CUDAError
             If the mapping fails.
         """
-        cdef Stream s_obj
-        cdef cydriver.CUgraphicsResource raw
-        cdef cydriver.CUstream cy_stream
         cdef cydriver.CUdeviceptr dev_ptr = 0
         cdef size_t size = 0
-        cdef Buffer buf
         if not self._handle:
             raise RuntimeError("GraphicsResource has been closed")
         if self._get_mapped_buffer() is not None:
             raise RuntimeError("GraphicsResource is already mapped")
 
-        s_obj = Stream_accept(stream)
-        raw = as_cu(self._handle)
-        cy_stream = as_cu(s_obj._h_stream)
+        cdef Stream s_obj = Stream_accept(stream)
+        cdef cydriver.CUgraphicsResource raw = as_cu(self._handle)
+        cdef cydriver.CUstream cy_stream = as_cu(s_obj._h_stream)
         with nogil:
             HANDLE_RETURN(
                 cydriver.cuGraphicsMapResources(1, &raw, cy_stream)
@@ -271,7 +266,7 @@ cdef class GraphicsResource:
             HANDLE_RETURN(
                 cydriver.cuGraphicsResourceGetMappedPointer(&dev_ptr, &size, raw)
             )
-        buf = Buffer_from_deviceptr_handle(
+        cdef Buffer buf = Buffer_from_deviceptr_handle(
             deviceptr_create_mapped_graphics(dev_ptr, self._handle, s_obj._h_stream),
             size,
             None,
@@ -299,14 +294,12 @@ cdef class GraphicsResource:
         CUDAError
             If the unmapping fails.
         """
-        cdef object buf_obj
-        cdef Buffer buf
         if not self._handle:
             raise RuntimeError("GraphicsResource has been closed")
-        buf_obj = self._get_mapped_buffer()
+        cdef object buf_obj = self._get_mapped_buffer()
         if buf_obj is None:
             raise RuntimeError("GraphicsResource is not mapped")
-        buf = <Buffer>buf_obj
+        cdef Buffer buf = <Buffer>buf_obj
         buf.close(stream=stream)
         self._mapped_buffer = None
 
@@ -332,11 +325,10 @@ cdef class GraphicsResource:
             Optional override for the stream used to close the currently
             mapped buffer, if one exists.
         """
-        cdef object buf_obj
         cdef Buffer buf
         if not self._handle:
             return
-        buf_obj = self._get_mapped_buffer()
+        cdef object buf_obj = self._get_mapped_buffer()
         if buf_obj is not None:
             buf = <Buffer>buf_obj
             buf.close(stream=stream)
diff --git a/cuda_core/cuda/core/_host.py b/cuda_core/cuda/core/_host.py
index e74743d493a..30464409871 100644
--- a/cuda_core/cuda/core/_host.py
+++ b/cuda_core/cuda/core/_host.py
@@ -6,6 +6,8 @@
 import threading
 from typing import ClassVar
 
+__all__ = ["Host"]
+
 
 class Host:
     """Host (CPU) location for managed-memory operations.
diff --git a/cuda_core/cuda/core/_launch_config.pxd b/cuda_core/cuda/core/_launch_config.pxd
index 112007b9cfd..9bce0be0f16 100644
--- a/cuda_core/cuda/core/_launch_config.pxd
+++ b/cuda_core/cuda/core/_launch_config.pxd
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 #
 # SPDX-License-Identifier: Apache-2.0
 
@@ -15,6 +15,7 @@ cdef class LaunchConfig:
         public tuple block
         public int shmem_size
         public bint is_cooperative
+        public bint programmatic_stream_serialization
 
         vector[cydriver.CUlaunchAttribute] _attrs
         object __weakref__
diff --git a/cuda_core/cuda/core/_launch_config.pyx b/cuda_core/cuda/core/_launch_config.pyx
index a92ecf1f9e3..3a2f36a4dff 100644
--- a/cuda_core/cuda/core/_launch_config.pyx
+++ b/cuda_core/cuda/core/_launch_config.pyx
@@ -13,7 +13,16 @@ from cuda.core._utils.cuda_utils import (
     driver,
 )
 
-_LAUNCH_CONFIG_ATTRS = ('grid', 'cluster', 'block', 'shmem_size', 'is_cooperative')
+_LAUNCH_CONFIG_ATTRS = (
+    'grid',
+    'cluster',
+    'block',
+    'shmem_size',
+    'is_cooperative',
+    'programmatic_stream_serialization',
+)
+
+__all__ = ['LaunchConfig']
 
 
 cdef class LaunchConfig:
@@ -46,6 +55,10 @@ cdef class LaunchConfig:
         (Default to size 0)
     is_cooperative : bool, optional
         Whether this config can be used to launch a cooperative kernel.
+    programmatic_stream_serialization : bool, optional
+        Whether to allow programmatic stream serialization (PDL). When True,
+        the kernel may overlap with a previous kernel in the same stream that
+        signals completion via programmatic means.
     """
 
     # TODO: expand LaunchConfig to include other attributes
@@ -58,6 +71,7 @@ cdef class LaunchConfig:
         block: int | tuple[int, ...] | None = None,
         shmem_size: int | None = None,
         is_cooperative: bool = False,
+        programmatic_stream_serialization: bool = False,
     ) -> None:
         """Initialize LaunchConfig with validation.
 
@@ -73,6 +87,8 @@ cdef class LaunchConfig:
             Dynamic shared memory size in bytes (default: 0)
         is_cooperative : bool, optional
             Whether to launch as cooperative kernel (default: False)
+        programmatic_stream_serialization : bool, optional
+            Whether to allow programmatic stream serialization / PDL (default: False)
         """
         # Convert and validate grid and block dimensions
         self.grid = cast_to_3_tuple("LaunchConfig.grid", grid)
@@ -99,6 +115,7 @@ cdef class LaunchConfig:
             self.shmem_size = shmem_size
 
         self.is_cooperative = is_cooperative
+        self.programmatic_stream_serialization = programmatic_stream_serialization
 
         if self.is_cooperative and not Device().properties.cooperative_launch:
             raise CUDAError("cooperative kernels are not supported on this device")
@@ -147,6 +164,11 @@ cdef class LaunchConfig:
             attr.value.cooperative = 1
             self._attrs.push_back(attr)
 
+        if self.programmatic_stream_serialization:
+            attr.id = cydriver.CUlaunchAttributeID.CU_LAUNCH_ATTRIBUTE_PROGRAMMATIC_STREAM_SERIALIZATION
+            attr.value.programmaticStreamSerializationAllowed = 1
+            self._attrs.push_back(attr)
+
         drv_cfg.numAttrs = self._attrs.size()
         drv_cfg.attrs = self._attrs.data()
 
@@ -202,6 +224,12 @@ cpdef object _to_native_launch_config(LaunchConfig config):
         attr.value.cooperative = 1
         attrs.append(attr)
 
+    if config.programmatic_stream_serialization:
+        attr = driver.CUlaunchAttribute()
+        attr.id = driver.CUlaunchAttributeID.CU_LAUNCH_ATTRIBUTE_PROGRAMMATIC_STREAM_SERIALIZATION
+        attr.value.programmaticStreamSerializationAllowed = 1
+        attrs.append(attr)
+
     drv_cfg.numAttrs = len(attrs)
     drv_cfg.attrs = attrs
 
diff --git a/cuda_core/cuda/core/_launcher.pyx b/cuda_core/cuda/core/_launcher.pyx
index d5ddaff4d56..036189790e0 100644
--- a/cuda_core/cuda/core/_launcher.pyx
+++ b/cuda_core/cuda/core/_launcher.pyx
@@ -24,6 +24,8 @@ if TYPE_CHECKING:
     from cuda.core.graph import GraphBuilder
     from cuda.core.typing import IsStreamType
 
+__all__ = ['launch']
+
 
 def launch(
     stream: Stream | GraphBuilder | IsStreamType,
diff --git a/cuda_core/cuda/core/_linker.pyx b/cuda_core/cuda/core/_linker.pyx
index 753fa28b0d3..0687632c3bb 100644
--- a/cuda_core/cuda/core/_linker.pyx
+++ b/cuda_core/cuda/core/_linker.pyx
@@ -29,6 +29,7 @@ from dataclasses import dataclass
 from typing import TYPE_CHECKING, Union
 from warnings import warn
 
+from cuda.pathfinder import DynamicLibNotFoundError
 from cuda.pathfinder._optional_cuda_import import _optional_cuda_import
 from cuda.core._device import Device
 from cuda.core._module import ObjectCode
@@ -544,11 +545,10 @@ cdef inline void Linker_add_code_object(Linker self, object object_code) except
     cdef cydriver.CUjitInputType c_drv_input_type
     cdef const char* c_data_ptr
     cdef size_t c_data_size
-    cdef const char* c_name_ptr
     cdef const char* c_file_ptr
 
     name_bytes = f"{object_code.name}".encode()
-    c_name_ptr = <const char*>name_bytes
+    cdef const char* c_name_ptr = <const char*>name_bytes
 
     input_types = _nvjitlink_input_types if self._use_nvjitlink else _driver_input_types
     py_input_type = input_types.get(object_code.code_type)
@@ -684,26 +684,30 @@ def _decide_nvjitlink_or_driver() -> bool:
         " For best results, consider upgrading to a recent version of"
     )
 
-    nvjitlink_module = _optional_cuda_import(
-        "cuda.bindings.nvjitlink",
-        probe_function=lambda module: module.version(),  # probe triggers nvJitLink runtime load
-    )
+    nvjitlink_module = _optional_cuda_import("cuda.bindings.nvjitlink")
     if nvjitlink_module is None:
         warn_txt = f"cuda.bindings.nvjitlink is not available, therefore {warn_txt_common} cuda-bindings."
     else:
         from cuda.bindings._internal import nvjitlink
 
-        if _nvjitlink_has_version_symbol(nvjitlink):
-            _use_nvjitlink_backend = True
-            return False  # Use nvjitlink
-        warn_txt = (
-            f"{'nvJitLink*.dll' if sys.platform == 'win32' else 'libnvJitLink.so*'} is too old (<12.3)."
-            f" Therefore cuda.bindings.nvjitlink is not usable and {warn_txt_common} nvJitLink."
-        )
+        try:
+            has_version_symbol = _nvjitlink_has_version_symbol(nvjitlink)
+        except DynamicLibNotFoundError:
+            warn_txt = (
+                f"cuda.bindings.nvjitlink is not available, therefore {warn_txt_common} cuda-bindings."
+            )
+        else:
+            if has_version_symbol:
+                _use_nvjitlink_backend = True
+                return False  # Use nvjitlink
+            warn_txt = (
+                f"{'nvJitLink*.dll' if sys.platform == 'win32' else 'libnvJitLink.so*'} is too old (<12.3)."
+                f" Therefore cuda.bindings.nvjitlink is not usable and {warn_txt_common} nvJitLink."
+            )
 
     warn(warn_txt, stacklevel=2, category=RuntimeWarning)
-    _use_nvjitlink_backend = False
     _driver = driver
+    _use_nvjitlink_backend = False
     return True
 
 
diff --git a/cuda_core/cuda/core/_memory/__init__.py b/cuda_core/cuda/core/_memory/__init__.py
index bf40a643f8c..d35ee814449 100644
--- a/cuda_core/cuda/core/_memory/__init__.py
+++ b/cuda_core/cuda/core/_memory/__init__.py
@@ -1,13 +1,34 @@
-# SPDX-FileCopyrightText: Copyright (c) 2024-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2024-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 #
 # SPDX-License-Identifier: Apache-2.0
 
 from ._buffer import *
+from ._buffer import __all__ as _buffer_all
 from ._device_memory_resource import *
+from ._device_memory_resource import __all__ as _device_memory_resource_all
 from ._graph_memory_resource import *
+from ._graph_memory_resource import __all__ as _graph_memory_resource_all
 from ._ipc import *
+from ._ipc import __all__ as _ipc_all
 from ._legacy import *
-from ._managed_buffer import ManagedBuffer
+from ._legacy import __all__ as _legacy_all
+from ._managed_buffer import *
+from ._managed_buffer import __all__ as _managed_buffer_all
 from ._managed_memory_resource import *
+from ._managed_memory_resource import __all__ as _managed_memory_resource_all
 from ._pinned_memory_resource import *
+from ._pinned_memory_resource import __all__ as _pinned_memory_resource_all
 from ._virtual_memory_resource import *
+from ._virtual_memory_resource import __all__ as _virtual_memory_resource_all
+
+__all__ = [
+    *_buffer_all,
+    *_device_memory_resource_all,
+    *_graph_memory_resource_all,
+    *_ipc_all,
+    *_legacy_all,
+    *_managed_buffer_all,
+    *_managed_memory_resource_all,
+    *_pinned_memory_resource_all,
+    *_virtual_memory_resource_all,
+]
diff --git a/cuda_core/cuda/core/_memory/_buffer.pyx b/cuda_core/cuda/core/_memory/_buffer.pyx
index 97ef892547d..2506331d0fd 100644
--- a/cuda_core/cuda/core/_memory/_buffer.pyx
+++ b/cuda_core/cuda/core/_memory/_buffer.pyx
@@ -272,8 +272,11 @@ cdef class Buffer:
     @cython.critical_section
     def ipc_descriptor(self) -> IPCBufferDescriptor:
         """Descriptor for sharing this buffer with other processes."""
+        cdef object ipc_data
         if self._ipc_data is None:
-            self._ipc_data = IPCDataForBuffer(_ipc.Buffer_get_ipc_descriptor(self), False)
+            ipc_data = IPCDataForBuffer(_ipc.Buffer_get_ipc_descriptor(self), False)
+            if self._ipc_data is None:
+                self._ipc_data = ipc_data
         return self._ipc_data.ipc_descriptor
 
     def close(self, stream: Stream | GraphBuilder | None = None) -> None:
@@ -422,8 +425,7 @@ cdef class Buffer:
             if not isinstance(max_version, tuple) or len(max_version) != 2:
                 raise BufferError(f"Expected max_version tuple[int, int], got {max_version}")
             versioned = max_version >= (1, 0)
-        capsule = make_py_capsule(self, versioned)
-        return capsule
+        return make_py_capsule(self, versioned)
 
     def __dlpack_device__(self) -> tuple[int, int]:
         return classify_dl_device(self)
diff --git a/cuda_core/cuda/core/_memory/_device_memory_resource.pyx b/cuda_core/cuda/core/_memory/_device_memory_resource.pyx
index 45d8d543ac4..22b1488f638 100644
--- a/cuda_core/cuda/core/_memory/_device_memory_resource.pyx
+++ b/cuda_core/cuda/core/_memory/_device_memory_resource.pyx
@@ -321,10 +321,10 @@ cpdef str DMR_mempool_get_access(DeviceMemoryResource dmr, int device_id):
 
     cdef int dev_id = Device(device_id).device_id
     cdef cydriver.CUmemAccess_flags flags
-    cdef cydriver.CUmemLocation location
-
-    location.type = cydriver.CUmemLocationType.CU_MEM_LOCATION_TYPE_DEVICE
-    location.id = dev_id
+    cdef cydriver.CUmemLocation location = cydriver.CUmemLocation(
+        type=cydriver.CUmemLocationType.CU_MEM_LOCATION_TYPE_DEVICE,
+        id=dev_id,
+    )
 
     with nogil:
         HANDLE_RETURN(cydriver.cuMemPoolGetAccess(&flags, as_cu(dmr._h_pool), &location))
diff --git a/cuda_core/cuda/core/_memory/_ipc.pyx b/cuda_core/cuda/core/_memory/_ipc.pyx
index d03f51a26ce..f4194b22b0e 100644
--- a/cuda_core/cuda/core/_memory/_ipc.pyx
+++ b/cuda_core/cuda/core/_memory/_ipc.pyx
@@ -29,7 +29,7 @@ import platform
 import uuid
 import weakref
 
-__all__ = ['IPCBufferDescriptor', 'IPCAllocationHandle']
+__all__ = []
 
 
 cdef object registry = weakref.WeakValueDictionary()
diff --git a/cuda_core/cuda/core/_memory/_managed_buffer.py b/cuda_core/cuda/core/_memory/_managed_buffer.py
index 9a8333e7094..83a6c618864 100644
--- a/cuda_core/cuda/core/_memory/_managed_buffer.py
+++ b/cuda_core/cuda/core/_memory/_managed_buffer.py
@@ -25,6 +25,8 @@
     from cuda.core._stream import Stream
     from cuda.core.graph import GraphBuilder
 
+__all__ = ["ManagedBuffer"]
+
 
 _INT_SIZE = 4
 
diff --git a/cuda_core/cuda/core/_memory/_managed_memory_ops.pyx b/cuda_core/cuda/core/_memory/_managed_memory_ops.pyx
index c07fb719dd9..b2ecde29f39 100644
--- a/cuda_core/cuda/core/_memory/_managed_memory_ops.pyx
+++ b/cuda_core/cuda/core/_memory/_managed_memory_ops.pyx
@@ -80,7 +80,6 @@ cdef tuple _coerce_batch_buffers(object buffers, str what):
 
 
 cdef tuple _broadcast_locations(object location, Py_ssize_t n, bint allow_none, str what):
-    cdef object coerced
     if isinstance(location, Sequence):
         if len(location) != n:
             raise ValueError(
@@ -88,28 +87,30 @@ cdef tuple _broadcast_locations(object location, Py_ssize_t n, bint allow_none,
                 f"targets length {n}"
             )
         return tuple(_coerce_location(loc, allow_none=allow_none) for loc in location)
-    coerced = _coerce_location(location, allow_none=allow_none)
+    cdef object coerced = _coerce_location(location, allow_none=allow_none)
     return tuple([coerced] * n)
 
 
 IF CUDA_CORE_BUILD_MAJOR >= 13:
     # Convert a _LocSpec dataclass to a cydriver.CUmemLocation struct.
     cdef inline cydriver.CUmemLocation _to_cumemlocation(object loc):
-        cdef cydriver.CUmemLocation out
         cdef str kind = loc.kind
         if kind == "device":
-            out.type = cydriver.CUmemLocationType.CU_MEM_LOCATION_TYPE_DEVICE
-            out.id = <int>loc.id
+            return cydriver.CUmemLocation(
+                type=cydriver.CUmemLocationType.CU_MEM_LOCATION_TYPE_DEVICE,
+                id=<int>loc.id)
         elif kind == "host":
-            out.type = cydriver.CUmemLocationType.CU_MEM_LOCATION_TYPE_HOST
-            out.id = 0
+            return cydriver.CUmemLocation(
+                type=cydriver.CUmemLocationType.CU_MEM_LOCATION_TYPE_HOST,
+                id=0)
         elif kind == "host_numa":
-            out.type = cydriver.CUmemLocationType.CU_MEM_LOCATION_TYPE_HOST_NUMA
-            out.id = <int>loc.id
+            return cydriver.CUmemLocation(
+                type=cydriver.CUmemLocationType.CU_MEM_LOCATION_TYPE_HOST_NUMA,
+                id=<int>loc.id)
         else:  # host_numa_current
-            out.type = cydriver.CUmemLocationType.CU_MEM_LOCATION_TYPE_HOST_NUMA_CURRENT
-            out.id = 0
-        return out
+            return cydriver.CUmemLocation(
+                type=cydriver.CUmemLocationType.CU_MEM_LOCATION_TYPE_HOST_NUMA_CURRENT,
+                id=0)
 ELSE:
     # CUDA 12 cuMemPrefetchAsync takes a device ordinal (-1 = host).
     cdef inline int _to_legacy_device(object loc) except? -2:
@@ -223,8 +224,9 @@ cdef void _do_single_advise(Buffer buf, object advice_value, object loc, bint al
             # Driver ignores location for read_mostly / unset_preferred_location
             # advice values but still validates the CUmemLocation; pass a
             # host placeholder.
-            cu_loc.type = cydriver.CUmemLocationType.CU_MEM_LOCATION_TYPE_HOST
-            cu_loc.id = 0
+            cu_loc = cydriver.CUmemLocation(
+                type=cydriver.CUmemLocationType.CU_MEM_LOCATION_TYPE_HOST,
+                id=0)
         else:
             cu_loc = _to_cumemlocation(loc)
         with nogil:
diff --git a/cuda_core/cuda/core/_memory/_memory_pool.pyx b/cuda_core/cuda/core/_memory/_memory_pool.pyx
index cf7c48068f1..8f9a4354b84 100644
--- a/cuda_core/cuda/core/_memory/_memory_pool.pyx
+++ b/cuda_core/cuda/core/_memory/_memory_pool.pyx
@@ -183,8 +183,11 @@ cdef class _MemPool(MemoryResource):
     @cython.critical_section
     def attributes(self) -> _MemPoolAttributes:
         """Memory pool attributes."""
+        cdef _MemPoolAttributes attributes
         if self._attributes is None:
-            self._attributes = _MemPoolAttributes._init(self._h_pool)
+            attributes = _MemPoolAttributes._init(self._h_pool)
+            if self._attributes is None:
+                self._attributes = attributes
         return self._attributes
 
     @property
@@ -275,19 +278,18 @@ cdef int MP_init_current_pool(
     Requires CUDA 13+.
     """
     IF CUDA_CORE_BUILD_MAJOR >= 13:
-        cdef cydriver.CUmemLocation loc
         cdef cydriver.CUmemoryPool pool
-        loc.id = loc_id
-        loc.type = loc_type
+        cdef cydriver.CUmemLocation loc = cydriver.CUmemLocation(
+            type=loc_type, id=loc_id)
         with nogil:
             HANDLE_RETURN(cydriver.cuMemGetMemPool(&pool, &loc, alloc_type))
         self._h_pool = create_mempool_handle_ref(pool)
         self._mempool_owned = False
+        return 0
     ELSE:
         raise RuntimeError(
             "Getting the current memory pool requires CUDA 13.0 or later"
         )
-    return 0
 
 
 cdef int MP_raise_release_threshold(_MemPool self) except? -1:
diff --git a/cuda_core/cuda/core/_memory/_peer_access_utils.pyx b/cuda_core/cuda/core/_memory/_peer_access_utils.pyx
index 9a035378ecf..69d59f9e005 100644
--- a/cuda_core/cuda/core/_memory/_peer_access_utils.pyx
+++ b/cuda_core/cuda/core/_memory/_peer_access_utils.pyx
@@ -92,7 +92,7 @@ cdef inline tuple _query_peer_access_ids(DeviceMemoryResource mr):
     cdef cydriver.CUmemLocation location
     cdef cydriver.CUmemoryPool h_pool = as_cu(mr._h_pool)
     cdef vector[int] peers
-    cdef size_t i, n
+    cdef size_t i
 
     location.type = cydriver.CUmemLocationType.CU_MEM_LOCATION_TYPE_DEVICE
 
@@ -106,17 +106,17 @@ cdef inline tuple _query_peer_access_ids(DeviceMemoryResource mr):
             if flags == cydriver.CUmemAccess_flags.CU_MEM_ACCESS_FLAGS_PROT_READWRITE:
                 peers.push_back(dev_id)
 
-    n = peers.size()
+    cdef size_t n = peers.size()
     return tuple(peers[i] for i in range(n))
 
 
 cdef inline bint _peer_access_includes(DeviceMemoryResource mr, int dev_id):
     """Return True if peer access from ``dev_id`` is currently granted."""
     cdef cydriver.CUmemAccess_flags flags
-    cdef cydriver.CUmemLocation location
-
-    location.type = cydriver.CUmemLocationType.CU_MEM_LOCATION_TYPE_DEVICE
-    location.id = dev_id
+    cdef cydriver.CUmemLocation location = cydriver.CUmemLocation(
+        type=cydriver.CUmemLocationType.CU_MEM_LOCATION_TYPE_DEVICE,
+        id=dev_id,
+    )
     with nogil:
         HANDLE_RETURN(cydriver.cuMemPoolGetAccess(&flags, as_cu(mr._h_pool), &location))
     return flags == cydriver.CUmemAccess_flags.CU_MEM_ACCESS_FLAGS_PROT_READWRITE
diff --git a/cuda_core/cuda/core/_memory/_pinned_memory_resource.pyx b/cuda_core/cuda/core/_memory/_pinned_memory_resource.pyx
index 4335fbb41c2..e5f89606330 100644
--- a/cuda_core/cuda/core/_memory/_pinned_memory_resource.pyx
+++ b/cuda_core/cuda/core/_memory/_pinned_memory_resource.pyx
@@ -5,9 +5,11 @@
 from __future__ import annotations
 
 from cuda.bindings cimport cydriver
-from cuda.core._memory._memory_pool cimport _MemPool, MP_init_create_pool, MP_init_current_pool
+from cuda.core._memory._buffer cimport Buffer
+from cuda.core._memory._memory_pool cimport _MemPool, _MP_allocate, MP_init_create_pool, MP_init_current_pool
 from cuda.core._memory cimport _ipc
 from cuda.core._memory._ipc cimport IPCAllocationHandle
+from cuda.core._stream cimport Stream, Stream_accept
 from cuda.core._utils.cuda_utils cimport (
     check_or_create_options,
     HANDLE_RETURN,
@@ -20,6 +22,11 @@ import uuid
 
 from cuda.core._utils.cuda_utils import check_multiprocessing_start_method
 
+from typing import TYPE_CHECKING
+
+if TYPE_CHECKING:
+    from cuda.core.graph import GraphBuilder
+
 __all__ = ['PinnedMemoryResource', 'PinnedMemoryResourceOptions']
 
 
@@ -78,6 +85,14 @@ cdef class PinnedMemoryResource(_MemPool):
 
     Notes
     -----
+    The device associated with ``stream`` must support host memory pools. If
+    ``numa_id`` is set or derived for IPC, it must support host NUMA memory pools.
+    You can query these capabilities through
+    ``Device.properties.host_memory_pools_supported`` and
+    ``Device.properties.host_numa_memory_pools_supported``. If the required pool
+    is unsupported and stream-ordered allocation is not needed, use
+    :class:`LegacyPinnedMemoryResource`.
+
     To create an IPC-Enabled memory resource (MR) that is capable of sharing
     allocations between processes, specify ``ipc_enabled=True`` in the initializer
     option. When IPC is enabled and ``numa_id`` is not specified, the NUMA node
@@ -91,6 +106,26 @@ cdef class PinnedMemoryResource(_MemPool):
     def __init__(self, options: PinnedMemoryResourceOptions | dict[str, object] | None = None) -> None:
         _PMR_init(self, options)
 
+    def allocate(self, size_t size, *, stream: Stream | GraphBuilder) -> Buffer:
+        """Allocate a host-pinned buffer asynchronously on the supplied stream."""
+        if self.is_mapped:
+            raise TypeError("Cannot allocate from a mapped IPC-enabled memory resource")
+        cdef Stream s = Stream_accept(stream)
+        device = s.device
+        cdef bint supported = (
+            device.properties.host_numa_memory_pools_supported
+            if self._numa_id >= 0
+            else device.properties.host_memory_pools_supported
+        )
+
+        if not supported:
+            raise RuntimeError(
+                f"CUDA device {device.device_id} does not support the requested "
+                "host memory pool for PinnedMemoryResource. Use "
+                "LegacyPinnedMemoryResource if memory-pool features are not required."
+            )
+        return _MP_allocate(self, size, s)
+
     def __reduce__(self) -> tuple[object, ...]:
         return PinnedMemoryResource.from_registry, (self.uuid,)
 
diff --git a/cuda_core/cuda/core/_memory/_virtual_memory_resource.py b/cuda_core/cuda/core/_memory/_virtual_memory_resource.py
index f30e6e3838d..7cd12f597a6 100644
--- a/cuda_core/cuda/core/_memory/_virtual_memory_resource.py
+++ b/cuda_core/cuda/core/_memory/_virtual_memory_resource.py
@@ -33,6 +33,16 @@
 
 __all__ = ["VirtualMemoryResource", "VirtualMemoryResourceOptions"]
 
+# Location types whose physical backing lives in host memory. Shared by
+# VirtualMemoryResource.__init__ and is_host_accessible so the two cannot drift.
+_HOST_LOCATION_TYPES = frozenset(
+    {
+        VirtualMemoryLocationType.HOST,
+        VirtualMemoryLocationType.HOST_NUMA,
+        VirtualMemoryLocationType.HOST_NUMA_CURRENT,
+    }
+)
+
 
 @dataclass
 class VirtualMemoryResourceOptions:
@@ -46,10 +56,9 @@ class VirtualMemoryResourceOptions:
     location_type: :obj:`~_memory.VirtualMemoryLocationType` | str
         Controls the location of the allocation.
     handle_type: :obj:`~_memory.VirtualMemoryHandleType` | str
-        Export handle type for the physical allocation. Use
-        ``"posix_fd"`` on Linux if you plan to
-        import/export the allocation (required for cuMemRetainAllocationHandle).
-        Use `None` if you don't need an exportable handle.
+        Export handle type for the physical allocation. Use ``"posix_fd"`` on
+        Linux if you plan to import/export the allocation. Use `None` if you
+        don't need an exportable handle.
     gpu_direct_rdma: bool
         Hint that the allocation should be GDR-capable (if supported).
     granularity: :obj:`~_memory.VirtualMemoryGranularityType` | str
@@ -170,8 +179,7 @@ def __init__(self, device_id: Device | int, config: VirtualMemoryResourceOptions
         self.config: VirtualMemoryResourceOptions = check_or_create_options(  # type: ignore[assignment]
             VirtualMemoryResourceOptions, config, "VirtualMemoryResource options", keep_none=False
         )
-        # Matches ("host", "host_numa", "host_numa_current")
-        if "host" in self.config.location_type:
+        if self.config.location_type in _HOST_LOCATION_TYPES:
             self.device = None
 
         if not self.device and self.config.location_type == "device":
@@ -610,7 +618,7 @@ def is_host_accessible(self) -> bool:
         """
         Indicates whether the allocated memory is accessible from the host.
         """
-        return self.config.location_type == "host"
+        return self.config.location_type in _HOST_LOCATION_TYPES
 
     @property
     def device_id(self) -> int:
diff --git a/cuda_core/cuda/core/_memoryview.pyx b/cuda_core/cuda/core/_memoryview.pyx
index d6dd9bb2454..bbe5a887700 100644
--- a/cuda_core/cuda/core/_memoryview.pyx
+++ b/cuda_core/cuda/core/_memoryview.pyx
@@ -544,13 +544,16 @@ cdef class StridedMemoryView:
 
     @cython.critical_section
     cdef inline _StridedLayout get_layout(self):
+        cdef _StridedLayout layout
         if self._layout is None:
             if self.dl_tensor:
-                self._layout = layout_from_dlpack(self.dl_tensor)
+                layout = layout_from_dlpack(self.dl_tensor)
             elif self.metadata is not None:
-                self._layout = layout_from_cai(self.metadata)
+                layout = layout_from_cai(self.metadata)
             else:
                 raise ValueError("Cannot infer layout from the exporting object")
+            if self._layout is None:
+                self._layout = layout
         return self._layout
 
     @cython.critical_section
@@ -560,24 +563,31 @@ cdef class StridedMemoryView:
         If the SMV was created from a Buffer, it will return the same Buffer instance.
         Otherwise, it will create a new instance with owner set to the exporting object.
         """
+        cdef object buffer
         if self._buffer is None:
             if isinstance(self.exporting_obj, Buffer):
-                self._buffer = self.exporting_obj
+                buffer = self.exporting_obj
             else:
-                self._buffer = Buffer.from_handle(self.ptr, 0, owner=self.exporting_obj)
+                buffer = Buffer.from_handle(self.ptr, 0, owner=self.exporting_obj)
+            if self._buffer is None:
+                self._buffer = buffer
         return self._buffer
 
     @cython.critical_section
     cdef inline object get_dtype(self):
+        cdef object dtype
         if self._dtype is None:
+            dtype = None
             if self.dl_tensor != NULL:
-                self._dtype = dtype_dlpack_to_numpy(&self.dl_tensor.dtype)
+                dtype = dtype_dlpack_to_numpy(&self.dl_tensor.dtype)
             elif isinstance(self.metadata, int):
                 # AOTI dtype code stored by the torch tensor bridge
-                self._dtype = _get_tensor_bridge().resolve_aoti_dtype(
+                dtype = _get_tensor_bridge().resolve_aoti_dtype(
                     self.metadata)
             elif self.metadata is not None:
-                self._dtype = _typestr2dtype(self.metadata["typestr"])
+                dtype = _typestr2dtype(self.metadata["typestr"])
+            if self._dtype is None:
+                self._dtype = dtype
         return self._dtype
 
 
diff --git a/cuda_core/cuda/core/_module.pxd b/cuda_core/cuda/core/_module.pxd
index 78f871b5ba2..5e9d08fc13f 100644
--- a/cuda_core/cuda/core/_module.pxd
+++ b/cuda_core/cuda/core/_module.pxd
@@ -2,6 +2,8 @@
 #
 # SPDX-License-Identifier: Apache-2.0
 
+from libcpp.mutex cimport py_safe_once_flag
+
 from cuda.bindings cimport cydriver
 from cuda.core._resource_handles cimport LibraryHandle, KernelHandle
 
@@ -32,6 +34,7 @@ cdef class ObjectCode:
         object _module      # bytes/str source
         dict _sym_map
         str _name
+        py_safe_once_flag _load_once
         object __weakref__
 
     cdef int _lazy_load_module(self) except -1
diff --git a/cuda_core/cuda/core/_module.pyx b/cuda_core/cuda/core/_module.pyx
index 5734e31414b..95e149065bf 100644
--- a/cuda_core/cuda/core/_module.pyx
+++ b/cuda_core/cuda/core/_module.pyx
@@ -6,7 +6,7 @@ from __future__ import annotations
 
 cimport cython
 from libc.stddef cimport size_t
-from libc.stdint cimport intptr_t
+from libcpp.mutex cimport py_safe_call_once
 
 from collections import namedtuple
 from os import fsencode, fspath, PathLike
@@ -459,8 +459,11 @@ cdef class Kernel:
     @cython.critical_section
     def attributes(self) -> KernelAttributes:
         """Get the read-only attributes of this kernel."""
+        cdef KernelAttributes attributes
         if self._attributes is None:
-            self._attributes = KernelAttributes._init(self._h_kernel)
+            attributes = KernelAttributes._init(self._h_kernel)
+            if self._attributes is None:
+                self._attributes = attributes
         return self._attributes
 
     cdef tuple _get_arguments_info(self, bint param_info=False):
@@ -507,8 +510,11 @@ cdef class Kernel:
     @cython.critical_section
     def occupancy(self) -> KernelOccupancy:
         """Get the occupancy information for launching this kernel."""
+        cdef KernelOccupancy occupancy
         if self._occupancy is None:
-            self._occupancy = KernelOccupancy._init(self._h_kernel)
+            occupancy = KernelOccupancy._init(self._h_kernel)
+            if self._occupancy is None:
+                self._occupancy = occupancy
         return self._occupancy
 
     @property
@@ -584,6 +590,31 @@ CodeTypeT = bytes | bytearray | str
 
 cdef tuple _supported_code_type = tuple(ObjectCodeFormatType.__members__.values())
 
+
+cdef void _lazy_load_module_once(void *self_v) except *:
+    # Call-once helper for the lazy module loading, we want to avoid unloading
+    # a module in case of threads racing, so use `call_once`.
+    cdef ObjectCode self = <ObjectCode>self_v
+    cdef LibraryHandle h_library
+    cdef bytes path_bytes
+    module = self._module
+    if isinstance(module, str):
+        path_bytes = module.encode()
+        h_library = create_library_handle_from_file(<const char*>path_bytes)
+    elif isinstance(module, (bytes, bytearray)):
+        h_library = create_library_handle_from_data(<const void*><char*>module)
+    elif isinstance(module, PathLike):
+        path_bytes = fsencode(module)
+        h_library = create_library_handle_from_file(<const char*>path_bytes)
+    else:
+        assert_type_str_or_bytes_like(module)
+        raise_code_path_meant_to_be_unreachable()
+        return
+    if not h_library:
+        HANDLE_RETURN(get_last_error())
+    self._h_library = h_library
+
+
 cdef class ObjectCode:
     """Represent a compiled program to be loaded onto the device.
 
@@ -746,26 +777,8 @@ cdef class ObjectCode:
 
     # TODO: do we want to unload in a finalizer? Probably not..
 
-    @cython.critical_section
     cdef int _lazy_load_module(self) except -1:
-        if self._h_library:
-            return 0
-        module = self._module
-        cdef bytes path_bytes
-        if isinstance(module, str):
-            path_bytes = module.encode()
-            self._h_library = create_library_handle_from_file(<const char*>path_bytes)
-        elif isinstance(module, (bytes, bytearray)):
-            self._h_library = create_library_handle_from_data(<const void*><char*>module)
-        elif isinstance(module, PathLike):
-            path_bytes = fsencode(module)
-            self._h_library = create_library_handle_from_file(<const char*>path_bytes)
-        else:
-            assert_type_str_or_bytes_like(module)
-            raise_code_path_meant_to_be_unreachable()
-            return -1
-        if not self._h_library:
-            HANDLE_RETURN(get_last_error())
+        py_safe_call_once(self._load_once, _lazy_load_module_once, <void *>self)
         return 0
 
     def get_kernel(self, name: str | bytes) -> Kernel:
@@ -797,7 +810,7 @@ cdef class ObjectCode:
             HANDLE_RETURN(get_last_error())
         return Kernel._from_handle(h_kernel)
 
-    def get_module(self) -> object:
+    def get_module(self) -> driver.CUmodule:
         """Return a context-dependent :obj:`~driver.CUmodule` for legacy interop.
 
         Bridges the native :obj:`~driver.CUlibrary` (see :attr:`handle`) to a
@@ -814,7 +827,7 @@ cdef class ObjectCode:
         cdef cydriver.CUmodule mod
         with nogil:
             HANDLE_RETURN(cydriver.cuLibraryGetModule(&mod, as_cu(self._h_library)))
-        return driver.CUmodule(<intptr_t>mod)
+        return as_py(mod)
 
     @property
     def code(self) -> CodeTypeT:
diff --git a/cuda_core/cuda/core/_program.pyx b/cuda_core/cuda/core/_program.pyx
index 2b2e5262a2c..7fb099b06d2 100644
--- a/cuda_core/cuda/core/_program.pyx
+++ b/cuda_core/cuda/core/_program.pyx
@@ -298,6 +298,7 @@ class ProgramOptions:
     ----------
     name : str, optional
         Name of the program. If the compilation succeeds, the name is passed down to the generated :class:`ObjectCode`.
+        When set to `None`, ``"default_program"`` is used.
     arch : str, optional
         Pass the SM architecture value, such as ``sm_<CC>`` (for generating CUBIN) or
         ``compute_<CC>`` (for generating PTX). If not provided, the current device's architecture
@@ -523,6 +524,9 @@ class ProgramOptions:
     numba_debug: bool | None = None  # Custom option for Numba debugging
 
     def __post_init__(self) -> None:
+        # Set name to default if not provided
+        if self.name is None:
+            self.name = "default_program"
         self._name = self.name.encode()
         # Set arch to default if not provided
         if self.arch is None:
@@ -649,12 +653,10 @@ def _get_nvvm_module() -> object:
     """Get the NVVM module, importing it lazily with availability checks."""
     global _nvvm_module, _nvvm_import_attempted
 
-    if _nvvm_import_attempted:
-        if _nvvm_module is None:
-            raise RuntimeError("NVVM module is not available (previous import attempt failed)")
+    if _nvvm_module is not None:
         return _nvvm_module
-
-    _nvvm_import_attempted = True
+    if _nvvm_import_attempted:
+        raise RuntimeError("NVVM module is not available (previous import attempt failed)")
 
     try:
         version = binding_version()
@@ -678,8 +680,10 @@ def _get_nvvm_module() -> object:
 
     except RuntimeError:
         _nvvm_module = None
+        _nvvm_import_attempted = True
         raise
 
+
 def _find_libdevice_path() -> object:
     """Find libdevice*.bc for NVVM compilation using cuda.pathfinder."""
     from cuda.pathfinder import find_bitcode_lib
diff --git a/cuda_core/cuda/core/_resource_handles.pxd b/cuda_core/cuda/core/_resource_handles.pxd
index 2f481fee4f8..2637abb5137 100644
--- a/cuda_core/cuda/core/_resource_handles.pxd
+++ b/cuda_core/cuda/core/_resource_handles.pxd
@@ -71,6 +71,20 @@ cdef extern from "_cpp/resource_handles.hpp" namespace "cuda_core":
         PreparedAttachmentState, PreparedAttachmentDeleter
     ] PreparedAttachment
 
+    cppclass PreparedChildGraphUpdateState:
+        pass
+    ctypedef shared_ptr[
+        PreparedChildGraphUpdateState
+    ] PreparedChildGraphUpdate
+
+    cppclass PreparedExecAttachmentState:
+        pass
+    cppclass PreparedExecAttachmentDeleter:
+        pass
+    ctypedef unique_ptr[
+        PreparedExecAttachmentState, PreparedExecAttachmentDeleter
+    ] PreparedExecAttachment
+
     # as_cu() - extract the raw CUDA handle (inline C++)
     cydriver.CUcontext as_cu(ContextHandle h) noexcept nogil
     cydriver.CUgreenCtx as_cu(GreenCtxHandle h) noexcept nogil
@@ -79,6 +93,7 @@ cdef extern from "_cpp/resource_handles.hpp" namespace "cuda_core":
     cydriver.CUmemoryPool as_cu(MemoryPoolHandle h) noexcept nogil
     cydriver.CUdeviceptr as_cu(DevicePtrHandle h) noexcept nogil
     cydriver.CUlibrary as_cu(LibraryHandle h) noexcept nogil
+    cydriver.CUmodule as_cu(cydriver.CUmodule h) noexcept nogil
     cydriver.CUkernel as_cu(KernelHandle h) noexcept nogil
     cydriver.CUgraph as_cu(GraphHandle h) noexcept nogil
     cydriver.CUgraphExec as_cu(GraphExecHandle h) noexcept nogil
@@ -101,6 +116,7 @@ cdef extern from "_cpp/resource_handles.hpp" namespace "cuda_core":
     intptr_t as_intptr(MemoryPoolHandle h) noexcept nogil
     intptr_t as_intptr(DevicePtrHandle h) noexcept nogil
     intptr_t as_intptr(LibraryHandle h) noexcept nogil
+    intptr_t as_intptr(const cydriver.CUmodule& h) noexcept nogil
     intptr_t as_intptr(KernelHandle h) noexcept nogil
     intptr_t as_intptr(GraphHandle h) noexcept nogil
     intptr_t as_intptr(GraphExecHandle h) noexcept nogil
@@ -124,6 +140,7 @@ cdef extern from "_cpp/resource_handles.hpp" namespace "cuda_core":
     object as_py(MemoryPoolHandle h)
     object as_py(DevicePtrHandle h)
     object as_py(LibraryHandle h)
+    object as_py(const cydriver.CUmodule& h)
     object as_py(KernelHandle h)
     object as_py(GraphHandle h)
     object as_py(GraphExecHandle h)
@@ -253,11 +270,30 @@ cdef cydriver.CUresult graph_commit_attachment(
     PreparedAttachment& prepared, cydriver.CUgraphNode node) except+
 cdef cydriver.CUresult graph_clone_attachments(
     const GraphHandle& h_clone, const GraphHandle& h_source) except+
+cdef cydriver.CUresult graph_prepare_child_graph_update(
+    const GraphHandle& h_parent, const GraphHandle& h_old_child,
+    cydriver.CUgraphNode owner_node, const GraphHandle& h_source,
+    PreparedChildGraphUpdate* out_prepared) except+
+cdef cydriver.CUresult graph_commit_child_graph_update(
+    PreparedChildGraphUpdate& prepared, GraphHandle* out_child) except+
 cdef void invalidate_child_graph_state(
     const GraphHandle& h_parent, cydriver.CUgraphNode owner_node) noexcept
 
 # Graph exec handles
-cdef GraphExecHandle create_graph_exec_handle(cydriver.CUgraphExec graph_exec) except+ nogil
+cdef GraphExecHandle create_graph_exec_handle(
+    const GraphHandle& h_source,
+    cydriver.CUDA_GRAPH_INSTANTIATE_PARAMS* params) except+
+cdef cydriver.CUresult graph_exec_update(
+    const GraphExecHandle& h_exec,
+    const GraphHandle& h_source,
+    cydriver.CUgraphExecUpdateResultInfo* result_info) except+
+cdef cydriver.CUresult graph_prepare_exec_attachment(
+    const GraphExecHandle& h_exec,
+    OpaqueHandle owner0,
+    OpaqueHandle owner1,
+    PreparedExecAttachment* out_prepared) except+
+cdef void graph_commit_exec_attachment(
+    PreparedExecAttachment& prepared) noexcept
 
 # Graph node handles
 cdef GraphNodeHandle create_graph_node_handle(cydriver.CUgraphNode node, const GraphHandle& h_graph) except+ nogil
diff --git a/cuda_core/cuda/core/_resource_handles.pyx b/cuda_core/cuda/core/_resource_handles.pyx
index f6fb6ac4e20..464fad6c1bf 100644
--- a/cuda_core/cuda/core/_resource_handles.pyx
+++ b/cuda_core/cuda/core/_resource_handles.pyx
@@ -167,12 +167,30 @@ cdef extern from "_cpp/resource_handles.hpp" namespace "cuda_core":
         PreparedAttachment& prepared, cydriver.CUgraphNode node) except+
     cydriver.CUresult graph_clone_attachments "cuda_core::graph_clone_attachments" (
         const GraphHandle& h_clone, const GraphHandle& h_source) except+
+    cydriver.CUresult graph_prepare_child_graph_update "cuda_core::graph_prepare_child_graph_update" (
+        const GraphHandle& h_parent, const GraphHandle& h_old_child,
+        cydriver.CUgraphNode owner_node, const GraphHandle& h_source,
+        PreparedChildGraphUpdate* out_prepared) except+
+    cydriver.CUresult graph_commit_child_graph_update "cuda_core::graph_commit_child_graph_update" (
+        PreparedChildGraphUpdate& prepared, GraphHandle* out_child) except+
     void invalidate_child_graph_state "cuda_core::invalidate_child_graph_state" (
         const GraphHandle& h_parent, cydriver.CUgraphNode owner_node) noexcept
 
     # Graph exec handles
     GraphExecHandle create_graph_exec_handle "cuda_core::create_graph_exec_handle" (
-        cydriver.CUgraphExec graph_exec) except+ nogil
+        const GraphHandle& h_source,
+        cydriver.CUDA_GRAPH_INSTANTIATE_PARAMS* params) except+
+    cydriver.CUresult graph_exec_update "cuda_core::graph_exec_update" (
+        const GraphExecHandle& h_exec,
+        const GraphHandle& h_source,
+        cydriver.CUgraphExecUpdateResultInfo* result_info) except+
+    cydriver.CUresult graph_prepare_exec_attachment "cuda_core::graph_prepare_exec_attachment" (
+        const GraphExecHandle& h_exec,
+        OpaqueHandle owner0,
+        OpaqueHandle owner1,
+        PreparedExecAttachment* out_prepared) except+
+    void graph_commit_exec_attachment "cuda_core::graph_commit_exec_attachment" (
+        PreparedExecAttachment& prepared) noexcept
 
     # Graph node handles
     GraphNodeHandle create_graph_node_handle "cuda_core::create_graph_node_handle" (
@@ -322,6 +340,8 @@ cdef extern from "_cpp/resource_handles.hpp" namespace "cuda_core":
 
     # Graph
     void* p_cuGraphDestroy "reinterpret_cast<void*&>(cuda_core::p_cuGraphDestroy)"
+    void* p_cuGraphInstantiateWithParams "reinterpret_cast<void*&>(cuda_core::p_cuGraphInstantiateWithParams)"
+    void* p_cuGraphExecUpdate "reinterpret_cast<void*&>(cuda_core::p_cuGraphExecUpdate)"
     void* p_cuGraphExecDestroy "reinterpret_cast<void*&>(cuda_core::p_cuGraphExecDestroy)"
     void* p_cuUserObjectCreate "reinterpret_cast<void*&>(cuda_core::p_cuUserObjectCreate)"
     void* p_cuUserObjectRelease "reinterpret_cast<void*&>(cuda_core::p_cuUserObjectRelease)"
@@ -388,7 +408,8 @@ cdef void _init_driver_fn_pointers() noexcept:
     global p_cuMemFreeAsync, p_cuMemFree, p_cuMemFreeHost
     global p_cuMemPoolImportPointer
     global p_cuLibraryLoadFromFile, p_cuLibraryLoadData, p_cuLibraryUnload, p_cuLibraryGetKernel
-    global p_cuGraphDestroy, p_cuGraphExecDestroy
+    global p_cuGraphDestroy, p_cuGraphInstantiateWithParams
+    global p_cuGraphExecUpdate, p_cuGraphExecDestroy
     global p_cuUserObjectCreate, p_cuUserObjectRelease
     global p_cuGraphRetainUserObject, p_cuGraphReleaseUserObject
     global p_cuGraphNodeFindInClone, p_cuGraphChildGraphNodeGetGraph
@@ -451,6 +472,8 @@ cdef void _init_driver_fn_pointers() noexcept:
 
     # Graph
     p_cuGraphDestroy = _get_driver_fn("cuGraphDestroy")
+    p_cuGraphInstantiateWithParams = _get_driver_fn("cuGraphInstantiateWithParams")
+    p_cuGraphExecUpdate = _get_driver_fn("cuGraphExecUpdate")
     p_cuGraphExecDestroy = _get_driver_fn("cuGraphExecDestroy")
     p_cuUserObjectCreate = _get_driver_fn("cuUserObjectCreate")
     p_cuUserObjectRelease = _get_driver_fn("cuUserObjectRelease")
diff --git a/cuda_core/cuda/core/_stream.pyx b/cuda_core/cuda/core/_stream.pyx
index 5212ec5c7de..c8c5faf74bc 100644
--- a/cuda_core/cuda/core/_stream.pyx
+++ b/cuda_core/cuda/core/_stream.pyx
@@ -47,6 +47,9 @@ if TYPE_CHECKING:
     from cuda.core._device import Device
     from cuda.core.graph import GraphBuilder
 
+__all__ = ['LEGACY_DEFAULT_STREAM', 'PER_THREAD_DEFAULT_STREAM', 'Stream', 'StreamOptions']
+
+
 @dataclass
 cdef class StreamOptions:
     """Customizable :obj:`~_stream.Stream` options.
@@ -125,7 +128,6 @@ cdef class Stream:
         cdef StreamHandle h_stream
         cdef cydriver.CUstream borrowed
         cdef ContextHandle h_context
-        cdef Stream self
 
         # Extract context handle if provided
         if ctx is not None:
@@ -185,7 +187,7 @@ cdef class Stream:
                 )
             else:
                 HANDLE_RETURN(res_code)
-        self = Stream._from_handle(cls, h_stream)
+        cdef Stream self = Stream._from_handle(cls, h_stream)
         self._nonblocking = int(nonblocking)
         self._priority = prio
         if device_id is not None:
@@ -214,8 +216,9 @@ cdef class Stream:
         return as_intptr(self._h_stream) == as_intptr((<Stream>other)._h_stream)
 
     def __repr__(self) -> str:
-        Stream_ensure_ctx(self)
-        return f"<Stream handle={as_intptr(self._h_stream):#x} context={as_intptr(self._h_context):#x}>"
+        cdef ContextHandle h_context
+        Stream_get_ctx(self, &h_context)
+        return f"<Stream handle={as_intptr(self._h_stream):#x} context={as_intptr(h_context):#x}>"
 
     @property
     def handle(self) -> cuda.bindings.driver.CUstream:
@@ -271,13 +274,22 @@ cdef class Stream:
         :obj:`~_event.Event`
             Newly created event object.
 
+        Note
+        ----
+        A default stream (:obj:`LEGACY_DEFAULT_STREAM` or
+        :obj:`PER_THREAD_DEFAULT_STREAM`) carries no context of its own; it
+        refers to whichever context is current, so a newly created event is
+        associated with the current context at call time.
+
         """
         # Create an Event object (or reusing the given one) by recording
         # on the stream. Event flags such as disabling timing, nonblocking,
         # and CU_EVENT_RECORD_EXTERNAL, can be set in EventOptions.
+        cdef ContextHandle h_context
+        cdef int device_id
         if event is None:
-            Stream_ensure_ctx_device(self)
-            event = cyEvent._init(cyEvent, self._device_id, self._h_context, options, False)
+            Stream_get_ctx_device(self, &h_context, &device_id)
+            event = cyEvent._init(cyEvent, device_id, h_context, options, False)
         elif event.is_ipc_enabled:
             raise TypeError(
                 "IPC-enabled events should not be re-recorded, instead create a "
@@ -342,21 +354,38 @@ cdef class Stream:
 
         Note
         ----
-        The current context on the device may differ from this
-        stream's context. This case occurs when a different CUDA
-        context is set current after a stream is created.
+        A default stream (:obj:`LEGACY_DEFAULT_STREAM` or
+        :obj:`PER_THREAD_DEFAULT_STREAM`) carries no context of its own; it
+        refers to whichever context is current, so this returns the device for
+        the current context at call time.
+
+        For a created stream, the current context on the device may differ from
+        this stream's context. That case occurs when a different CUDA context is
+        set current after the stream is created.
 
         """
         from cuda.core._device import Device  # avoid circular import
-        Stream_ensure_ctx_device(self)
-        return Device(self._device_id)
+        cdef ContextHandle h_context
+        cdef int device_id
+        Stream_get_ctx_device(self, &h_context, &device_id)
+        return Device(device_id)
 
     @property
     def context(self) -> Context:
-        """Return the :obj:`~_context.Context` associated with this stream."""
-        Stream_ensure_ctx(self)
-        Stream_ensure_ctx_device(self)
-        return Context._from_handle(Context, self._h_context, self._device_id)
+        """Return the :obj:`~_context.Context` associated with this stream.
+
+        Note
+        ----
+        A default stream (:obj:`LEGACY_DEFAULT_STREAM` or
+        :obj:`PER_THREAD_DEFAULT_STREAM`) carries no context of its own; it
+        refers to whichever context is current, so this returns the current
+        context at call time.
+
+        """
+        cdef ContextHandle h_context
+        cdef int device_id
+        Stream_get_ctx_device(self, &h_context, &device_id)
+        return Context._from_handle(Context, h_context, device_id)
 
     @property
     def resources(self) -> DeviceResources:
@@ -365,10 +394,19 @@ cdef class Stream:
         For streams created from a green context, returns the resources
         that context was provisioned with. For streams on the primary
         context, returns the full device resources.
+
+        Note
+        ----
+        A default stream (:obj:`LEGACY_DEFAULT_STREAM` or
+        :obj:`PER_THREAD_DEFAULT_STREAM`) carries no context of its own; it
+        refers to whichever context is current, so this queries the current
+        context at call time.
+
         """
-        Stream_ensure_ctx(self)
-        Stream_ensure_ctx_device(self)
-        return DeviceResources._init_from_ctx(self._h_context, self._device_id)
+        cdef ContextHandle h_context
+        cdef int device_id
+        Stream_get_ctx_device(self, &h_context, &device_id)
+        return DeviceResources._init_from_ctx(h_context, device_id)
 
     @staticmethod
     def from_handle(handle) -> Stream:
@@ -445,39 +483,63 @@ cpdef Stream default_stream():
         return LEGACY_DEFAULT_STREAM
 
 
-cdef inline int Stream_ensure_ctx(Stream self) except?-1 nogil:
-    """Ensure the stream's context handle is populated."""
+cdef inline bint Stream_is_default_token(Stream self) noexcept nogil:
+    """Return True for CU_STREAM_LEGACY and CU_STREAM_PER_THREAD.
+
+    These tokens carry no context of their own; they refer to whatever context
+    is current, so nothing resolved from one may be cached on the object.
+    """
+    cdef uintptr_t h = <uintptr_t>as_cu(self._h_stream)
+    return h == <uintptr_t>cydriver.CU_STREAM_LEGACY or h == <uintptr_t>cydriver.CU_STREAM_PER_THREAD
+
+
+cdef inline int Stream_get_ctx(Stream self, ContextHandle* h_context) except?-1 nogil:
+    """Resolve the stream's context handle into ``h_context``."""
     cdef cydriver.CUcontext ctx
-    if not self._h_context:
-        self._h_context = get_stream_context(self._h_stream)
-    if self._h_context:
+    cdef bint is_default = Stream_is_default_token(self)
+
+    # Default-stream tokens must never reuse a sticky object field, even if
+    # something else populated ``_h_context`` (defense in depth for #2485).
+    if self._h_context and not is_default:
+        h_context[0] = self._h_context
         return 0
-    HANDLE_RETURN(cydriver.cuStreamGetCtx(as_cu(self._h_stream), &ctx))
-    if ctx != NULL:
-        with gil:
-            self._h_context = create_context_handle_ref(ctx)
+
+    h_context[0] = get_stream_context(self._h_stream)
+    if not h_context[0]:
+        HANDLE_RETURN(cydriver.cuStreamGetCtx(as_cu(self._h_stream), &ctx))
+        if ctx != NULL:
+            with gil:
+                h_context[0] = create_context_handle_ref(ctx)
+
+    if h_context[0] and not is_default:
+        self._h_context = h_context[0]
     return 0
 
 
-cdef inline int Stream_ensure_ctx_device(Stream self) except?-1:
-    """Ensure the stream's context and device_id are populated."""
+cdef inline int Stream_get_ctx_device(Stream self, ContextHandle* h_context, int* device_id) except?-1:
+    """Resolve the stream's context handle and device ID."""
     cdef cydriver.CUcontext ctx
     cdef cydriver.CUdevice target_dev
     cdef ContextHandle current_context
     cdef bint switch_context
+    cdef bint is_default = Stream_is_default_token(self)
 
-    if self._device_id < 0:
-        with nogil:
+    with nogil:
+        Stream_get_ctx(self, h_context)
+        if self._device_id >= 0 and not is_default:
+            device_id[0] = self._device_id
+        else:
             # Get device ID from context, switching context temporarily if needed
-            Stream_ensure_ctx(self)
             current_context = get_current_context()
-            switch_context = (as_cu(current_context) != as_cu(self._h_context))
+            switch_context = (as_cu(current_context) != as_cu(h_context[0]))
             if switch_context:
-                HANDLE_RETURN(cydriver.cuCtxPushCurrent(as_cu(self._h_context)))
+                HANDLE_RETURN(cydriver.cuCtxPushCurrent(as_cu(h_context[0])))
             HANDLE_RETURN(cydriver.cuCtxGetDevice(&target_dev))
             if switch_context:
                 HANDLE_RETURN(cydriver.cuCtxPopCurrent(&ctx))
-        self._device_id = <int>target_dev
+            device_id[0] = <int>target_dev
+            if not is_default:
+                self._device_id = device_id[0]
     return 0
 
 
diff --git a/cuda_core/cuda/core/_tensor_bridge.pyx b/cuda_core/cuda/core/_tensor_bridge.pyx
index dd41c77c051..c7a6743213c 100644
--- a/cuda_core/cuda/core/_tensor_bridge.pyx
+++ b/cuda_core/cuda/core/_tensor_bridge.pyx
@@ -361,9 +361,7 @@ def view_as_torch_tensor(
     cdef int32_t dtype_code
     cdef int32_t device_type, device_index
     cdef StridedMemoryView buf
-    cdef int itemsize
     cdef intptr_t _stream_ptr_int
-    cdef _StridedLayout layout
 
     # Note: we intentionally skip PyTorch's Python-level __dlpack__ guards
     # (requires_grad, is_conj, is_neg, non-strided layout, wrong-device)
@@ -436,8 +434,8 @@ def view_as_torch_tensor(
 
     # Build _StridedLayout.  init_from_ptr copies shape/strides so we are
     # safe even though they are borrowed pointers.
-    itemsize = _get_aoti_itemsize(dtype_code)
-    layout = _StridedLayout.__new__(_StridedLayout)
+    cdef int itemsize = _get_aoti_itemsize(dtype_code)
+    cdef _StridedLayout layout = _StridedLayout.__new__(_StridedLayout)
     layout.init_from_ptr(
         <int>ndim,
         sizes_ptr,
diff --git a/cuda_core/cuda/core/_tensor_map.pyx b/cuda_core/cuda/core/_tensor_map.pyx
index 7e059fe7b98..46c2fa93152 100644
--- a/cuda_core/cuda/core/_tensor_map.pyx
+++ b/cuda_core/cuda/core/_tensor_map.pyx
@@ -47,6 +47,8 @@ try:
 except ImportError:
     ml_bfloat16 = None
 
+__all__ = ['TensorMapDescriptor', 'TensorMapDescriptorOptions']
+
 
 class TensorMapDataType(enum.IntEnum):
     """Data types for tensor map descriptors.
@@ -485,7 +487,6 @@ cdef class TensorMapDescriptor:
     cdef int _check_context_compat(self) except -1:
         cdef cydriver.CUcontext current_ctx
         cdef cydriver.CUdevice current_dev
-        cdef int current_dev_id
         if self._context == 0 and self._device_id < 0:
             return 0
         with nogil:
@@ -497,7 +498,7 @@ cdef class TensorMapDescriptor:
                 "TensorMapDescriptor was created in a different CUDA context")
         with nogil:
             HANDLE_RETURN(cydriver.cuCtxGetDevice(&current_dev))
-        current_dev_id = <int>current_dev
+        cdef int current_dev_id = <int>current_dev
         if self._device_id >= 0 and current_dev_id != self._device_id:
             raise RuntimeError(
                 f"TensorMapDescriptor belongs to device {self._device_id}, "
diff --git a/cuda_core/cuda/core/_utils/_weak_handles.pyx b/cuda_core/cuda/core/_utils/_weak_handles.pyx
index 65737b958a6..d9f71e36772 100644
--- a/cuda_core/cuda/core/_utils/_weak_handles.pyx
+++ b/cuda_core/cuda/core/_utils/_weak_handles.pyx
@@ -23,6 +23,7 @@ Python owners via ``make_opaque_py`` are not covered here -- use
 """
 
 from cuda.core._memory._buffer cimport Buffer
+from cuda.core.graph._graph_definition cimport GraphDefinition
 from cuda.core._resource_handles cimport OpaqueHandle
 
 
@@ -85,11 +86,19 @@ cdef WeakHandle _weak_from_buffer(Buffer buf):
     return _weak_from_opaque(h)
 
 
+cdef WeakHandle _weak_from_graph_definition(GraphDefinition graph):
+    cdef OpaqueHandle h = graph._h_graph
+    if not h:
+        raise ValueError("GraphDefinition has no active graph")
+    return _weak_from_opaque(h)
+
+
 def weak_handle(obj):
     """Return a :class:`WeakHandle` observing the resource behind ``obj``.
 
-    Currently supports :class:`~cuda.core.Buffer` (device allocation handle).
-    See the module docstring for how to add more types.
+    Currently supports :class:`~cuda.core.Buffer` (allocation handle) and
+    :class:`~cuda.core.graph.GraphDefinition` (graph hierarchy handle). See
+    the module docstring for how to add more types.
 
     Raises
     ------
@@ -100,7 +109,9 @@ def weak_handle(obj):
     """
     if isinstance(obj, Buffer):
         return _weak_from_buffer(obj)
+    if isinstance(obj, GraphDefinition):
+        return _weak_from_graph_definition(obj)
     raise TypeError(
         f"weak_handle() does not support {type(obj).__name__!r}; "
-        "supported types: Buffer"
+        "supported types: Buffer, GraphDefinition"
     )
diff --git a/cuda_core/cuda/core/_utils/enum_explanations_helpers.py b/cuda_core/cuda/core/_utils/enum_explanations_helpers.py
index 0dbe6d6bb60..6b666f4536c 100644
--- a/cuda_core/cuda/core/_utils/enum_explanations_helpers.py
+++ b/cuda_core/cuda/core/_utils/enum_explanations_helpers.py
@@ -31,6 +31,18 @@
 _ExplanationTableLoader = Callable[[], _ExplanationTable]
 
 
+def _parse_version_triple(version_str: str) -> tuple[int, int, int]:
+    """Parse a PEP 440 version string into a (major, minor, patch) triple.
+
+    Strips local-version identifiers and handles pre-release suffixes such as
+    ``0b1`` or ``0rc1`` by extracting only the leading integer from each
+    release segment.
+    """
+    parts = version_str.partition("+")[0].split(".")[:3]
+    ints = ([int(m.group(1)) if (m := re.match(r"(\d+)", v)) else 0 for v in parts] + [0, 0, 0])[:3]
+    return (ints[0], ints[1], ints[2])
+
+
 # ``version.pyx`` cannot be reused here (circular import via ``cuda_utils``).
 def _binding_version() -> tuple[int, int, int]:
     """Return the installed ``cuda-bindings`` version, or a conservative old value."""
@@ -38,10 +50,7 @@ def _binding_version() -> tuple[int, int, int]:
         version = importlib.metadata.version("cuda-bindings")
     except importlib.metadata.PackageNotFoundError:
         return (0, 0, 0)  # For very old versions of cuda-python
-
-    parts = version.partition("+")[0].split(".")[:3]
-    parts_int = ([int(v) for v in parts] + [0, 0, 0])[:3]
-    return (parts_int[0], parts_int[1], parts_int[2])
+    return _parse_version_triple(version)
 
 
 def _binding_version_has_usable_enum_docstrings(version: tuple[int, int, int]) -> bool:
diff --git a/cuda_core/cuda/core/_utils/version.pyx b/cuda_core/cuda/core/_utils/version.pyx
index 09ea5852421..ed4c93c0262 100644
--- a/cuda_core/cuda/core/_utils/version.pyx
+++ b/cuda_core/cuda/core/_utils/version.pyx
@@ -4,18 +4,31 @@
 
 import functools
 import importlib.metadata
+import re
 
 from cuda.core._utils.cuda_utils import driver, handle_return
 
 
+def _parse_version_triple(version_str: str) -> tuple[int, int, int]:
+    """Parse a PEP 440 version string into a (major, minor, patch) triple.
+
+    Strips local-version identifiers and handles pre-release suffixes such as
+    ``0b1`` or ``0rc1`` by extracting only the leading integer from each
+    release segment.
+    """
+    parts = version_str.partition("+")[0].split(".")[:3]
+    ints = ([int(m.group(1)) if (m := re.match(r"(\d+)", v)) else 0 for v in parts] + [0, 0, 0])[:3]
+    return (ints[0], ints[1], ints[2])
+
+
 @functools.cache
 def binding_version() -> tuple[int, int, int]:
     """Return the cuda-bindings version as a (major, minor, patch) triple."""
     try:
-        parts = importlib.metadata.version("cuda-bindings").split(".")[:3]
+        version_str = importlib.metadata.version("cuda-bindings")
     except importlib.metadata.PackageNotFoundError:
-        parts = importlib.metadata.version("cuda-python").split(".")[:3]
-    return tuple(int(v) for v in parts)
+        version_str = importlib.metadata.version("cuda-python")
+    return _parse_version_triple(version_str)
 
 
 @functools.cache
diff --git a/cuda_core/cuda/core/graph/__init__.pxd b/cuda_core/cuda/core/graph/__init__.pxd
index f367745acc1..a018340d20d 100644
--- a/cuda_core/cuda/core/graph/__init__.pxd
+++ b/cuda_core/cuda/core/graph/__init__.pxd
@@ -11,6 +11,14 @@ from cuda.core.graph._subclasses cimport (
     EmptyNode,
     EventRecordNode,
     EventWaitNode,
+    ExecutableChildGraphNode,
+    ExecutableEventRecordNode,
+    ExecutableEventWaitNode,
+    ExecutableGraphNode,
+    ExecutableHostCallbackNode,
+    ExecutableKernelNode,
+    ExecutableMemcpyNode,
+    ExecutableMemsetNode,
     FreeNode,
     HostCallbackNode,
     IfElseNode,
diff --git a/cuda_core/cuda/core/graph/__init__.py b/cuda_core/cuda/core/graph/__init__.py
index e1091114368..507888321ea 100644
--- a/cuda_core/cuda/core/graph/__init__.py
+++ b/cuda_core/cuda/core/graph/__init__.py
@@ -2,7 +2,19 @@
 #
 # SPDX-License-Identifier: Apache-2.0
 
+from . import _graph_builder, _graph_definition, _graph_node, _subclasses
 from ._graph_builder import *
 from ._graph_definition import *
 from ._graph_node import *
 from ._subclasses import *
+
+# Aggregate the star-imported submodule exports so ``cuda.core.graph`` carries
+# an explicit ``__all__`` derived from its parts (no manual list to drift).
+__all__ = [
+    *_graph_builder.__all__,
+    *_graph_definition.__all__,
+    *_graph_node.__all__,
+    *_subclasses.__all__,
+]
+
+del _graph_builder, _graph_definition, _graph_node, _subclasses
diff --git a/cuda_core/cuda/core/graph/_graph_builder.pxd b/cuda_core/cuda/core/graph/_graph_builder.pxd
index 660ebe8ec7d..eb75e6bd44a 100644
--- a/cuda_core/cuda/core/graph/_graph_builder.pxd
+++ b/cuda_core/cuda/core/graph/_graph_builder.pxd
@@ -24,4 +24,4 @@ cdef class Graph:
         object __weakref__
 
     @staticmethod
-    cdef Graph _init(cydriver.CUgraphExec graph_exec)
+    cdef Graph _init(GraphExecHandle h_graph_exec)
diff --git a/cuda_core/cuda/core/graph/_graph_builder.pyx b/cuda_core/cuda/core/graph/_graph_builder.pyx
index 3f5b57060b6..d3053a7261e 100644
--- a/cuda_core/cuda/core/graph/_graph_builder.pyx
+++ b/cuda_core/cuda/core/graph/_graph_builder.pyx
@@ -10,15 +10,23 @@ from libc.stdint cimport intptr_t
 from cuda.bindings cimport cydriver
 
 from cuda.core.graph._graph_definition cimport GraphCondition, GraphDefinition
+from cuda.core.graph._graph_node cimport GraphNode
 from cuda.core.graph._host_callback cimport _resolve_host_callback
+from cuda.core.graph._subclasses cimport (
+    ExecutableGraphNode,
+    create_executable_node_view,
+)
 from cuda.core._resource_handles cimport (
+    GraphExecHandle,
     GraphHandle,
     OpaqueHandle,
     PreparedAttachment,
     as_cu, as_py,
     create_child_graph_handle, create_graph_exec_handle, create_graph_handle,
+    get_last_error,
     graph_clone_attachments,
     graph_commit_attachment,
+    graph_exec_update,
     graph_prepare_attachment,
     invalidate_child_graph_state,
     retry_deferred_cleanup,
@@ -161,26 +169,40 @@ class GraphCompleteOptions:
     use_node_priority: bool = False
 
 
-def _instantiate_graph(h_graph, options: GraphCompleteOptions | None = None) -> Graph:
-    cdef cydriver.CUgraphExec c_exec
-    params = driver.CUDA_GRAPH_INSTANTIATE_PARAMS()
+def _instantiate_graph(source, options: GraphCompleteOptions | None = None) -> Graph:
+    cdef GraphHandle h_graph
+    cdef GraphExecHandle h_exec
+
+    if isinstance(source, GraphBuilder):
+        h_graph = (<GraphBuilder>source)._h_graph
+    elif isinstance(source, GraphDefinition):
+        h_graph = (<GraphDefinition>source)._h_graph
+    else:
+        raise TypeError(
+            f"expected GraphBuilder or GraphDefinition, got {type(source).__name__}")
+
+    cdef cydriver.CUDA_GRAPH_INSTANTIATE_PARAMS params = cydriver.CUDA_GRAPH_INSTANTIATE_PARAMS(
+        flags=0,
+        hUploadStream=<cydriver.CUstream>NULL,
+        hErrNode_out=<cydriver.CUgraphNode>NULL,
+        result_out=cydriver.CUgraphInstantiateResult.CUDA_GRAPH_INSTANTIATE_SUCCESS,
+    )
     if options:
         flags = 0
         if options.auto_free_on_launch:
             flags |= driver.CUgraphInstantiate_flags.CUDA_GRAPH_INSTANTIATE_FLAG_AUTO_FREE_ON_LAUNCH
         if options.upload_stream:
             flags |= driver.CUgraphInstantiate_flags.CUDA_GRAPH_INSTANTIATE_FLAG_UPLOAD
-            params.hUploadStream = options.upload_stream.handle
+            params.hUploadStream = as_cu((<Stream>options.upload_stream)._h_stream)
         if options.device_launch:
             flags |= driver.CUgraphInstantiate_flags.CUDA_GRAPH_INSTANTIATE_FLAG_DEVICE_LAUNCH
         if options.use_node_priority:
             flags |= driver.CUgraphInstantiate_flags.CUDA_GRAPH_INSTANTIATE_FLAG_USE_NODE_PRIORITY
         params.flags = flags
 
-    py_exec = handle_return(driver.cuGraphInstantiateWithParams(h_graph, params))
-    # Check result_out before wrapping the exec: on a non-SUCCESS result the exec
-    # may be invalid, and Graph._init's RAII deleter would call cuGraphExecDestroy
-    # on it during the exception unwind below.
+    # The exec is adopted only when result_out reports success, so the
+    # diagnostics below run before the handle is checked.
+    h_exec = create_graph_exec_handle(h_graph, &params)
     if params.result_out == driver.CUgraphInstantiateResult.CUDA_GRAPH_INSTANTIATE_ERROR:
         raise RuntimeError(
             "Instantiation failed for an unexpected reason which is described in the return value of the function."
@@ -201,8 +223,9 @@ def _instantiate_graph(h_graph, options: GraphCompleteOptions | None = None) ->
     elif params.result_out != driver.CUgraphInstantiateResult.CUDA_GRAPH_INSTANTIATE_SUCCESS:
         raise RuntimeError(f"Graph instantiation failed with unexpected error code: {params.result_out}")
 
-    c_exec = <cydriver.CUgraphExec><intptr_t>int(py_exec)
-    return Graph._init(c_exec)
+    if as_cu(h_exec) == NULL:
+        HANDLE_RETURN(get_last_error())
+    return Graph._init(h_exec)
 
 
 # Distinguishes the three kinds of GraphBuilder, which differ in how they
@@ -474,7 +497,7 @@ cdef class GraphBuilder:
         if self._state != CAPTURE_ENDED:
             raise RuntimeError("Graph has not finished building.")
 
-        return _instantiate_graph(as_py(self._h_graph), options)
+        return _instantiate_graph(self, options)
 
     def debug_dot_print(self, path: str, options: GraphDebugPrintOptions | None = None) -> None:
         """Generates a DOT debug file for the graph builder.
@@ -837,10 +860,12 @@ cdef class GraphBuilder:
         - **Python callable**: Pass any callable. The GIL is acquired
           automatically. The callable must take no arguments; use closures
           or ``functools.partial`` to bind state.
-        - **ctypes function pointer**: Pass a ``ctypes.CFUNCTYPE`` instance.
-          The function receives a single ``void*`` argument (the
-          ``user_data``). The caller must keep the ctypes wrapper alive
-          for the lifetime of the graph.
+        - **ctypes function pointer**: The function receives a single
+          ``void*`` argument (the ``user_data``), and the caller must keep
+          the ctypes wrapper alive for the lifetime of the graph. Its
+          declared prototype must match the driver's ``CUhostFn``
+          (``void (*)(void*)``): ``ctypes.CFUNCTYPE(None, ctypes.c_void_p)``,
+          or ``ctypes.WINFUNCTYPE(None, ctypes.c_void_p)`` on Windows.
 
         .. warning::
 
@@ -860,6 +885,14 @@ cdef class GraphBuilder:
             Only for ctypes function pointers. If ``int``, passed as a raw
             pointer (caller manages lifetime). If bytes-like, the data is
             copied and its lifetime is tied to the graph.
+
+        Raises
+        ------
+        TypeError
+            If ``fn`` is a ctypes function pointer whose declared prototype
+            does not match ``CUhostFn``.
+        ValueError
+            If ``user_data`` is given for a Python callable.
         """
         GB_callback(self, fn, user_data, False)
 
@@ -1060,9 +1093,9 @@ cdef class Graph:
         raise RuntimeError("directly constructing a Graph instance is not supported")
 
     @staticmethod
-    cdef Graph _init(cydriver.CUgraphExec graph_exec):
+    cdef Graph _init(GraphExecHandle h_graph_exec):
         cdef Graph self = Graph.__new__(Graph)
-        self._h_graph_exec = create_graph_exec_handle(graph_exec)
+        self._h_graph_exec = h_graph_exec
         return self
 
     def close(self) -> None:
@@ -1082,6 +1115,17 @@ cdef class Graph:
         """
         return as_py(self._h_graph_exec)
 
+    def __getitem__(self, node: GraphNode) -> ExecutableGraphNode:
+        """Return a view for updating *node* in this executable graph.
+
+        *node* is a definition node from the graph used to instantiate this
+        executable. Call ``update()`` on the returned view to replace that
+        node's parameters for future launches. Kernel, memcpy, and memset
+        views also support enabling and disabling the node.
+        """
+        return create_executable_node_view(
+            self._h_graph_exec, node)
+
     def update(self, source: "GraphBuilder | GraphDefinition") -> None:
         """Update the graph using a new graph definition.
 
@@ -1094,27 +1138,23 @@ cdef class Graph:
             finished building.
 
         """
-        from cuda.core.graph import GraphDefinition
-
-        cdef cydriver.CUgraph cu_graph
-        cdef cydriver.CUgraphExec cu_exec = as_cu(self._h_graph_exec)
+        cdef GraphHandle h_source
 
         if isinstance(source, GraphBuilder):
             if (<GraphBuilder>source)._state == CLOSED:
                 raise ValueError("Source graph builder has been closed.")
             if (<GraphBuilder>source)._state != CAPTURE_ENDED:
                 raise ValueError("Graph has not finished building.")
-            cu_graph = as_cu((<GraphBuilder>source)._h_graph)
+            h_source = (<GraphBuilder>source)._h_graph
         elif isinstance(source, GraphDefinition):
-            cu_graph = <cydriver.CUgraph><intptr_t>int(source.handle)
+            h_source = (<GraphDefinition>source)._h_graph
         else:
             raise TypeError(
                 f"expected GraphBuilder or GraphDefinition, got {type(source).__name__}")
 
         cdef cydriver.CUgraphExecUpdateResultInfo result_info
-        cdef cydriver.CUresult err
-        with nogil:
-            err = cydriver.cuGraphExecUpdate(cu_exec, cu_graph, &result_info)
+        cdef cydriver.CUresult err = graph_exec_update(
+            self._h_graph_exec, h_source, &result_info)
         if err == cydriver.CUresult.CUDA_ERROR_GRAPH_EXEC_UPDATE_FAILURE:
             reason = driver.CUgraphExecUpdateResult(result_info.result)
             msg = f"Graph update failed: {reason.__doc__.strip()} ({reason.name})"
diff --git a/cuda_core/cuda/core/graph/_graph_definition.pyx b/cuda_core/cuda/core/graph/_graph_definition.pyx
index b2516034d61..46896899ecd 100644
--- a/cuda_core/cuda/core/graph/_graph_definition.pyx
+++ b/cuda_core/cuda/core/graph/_graph_definition.pyx
@@ -327,8 +327,7 @@ cdef class GraphDefinition:
         """
         from cuda.core.graph._graph_builder import _instantiate_graph
 
-        return _instantiate_graph(
-            driver.CUgraph(as_intptr(self._h_graph)), options)
+        return _instantiate_graph(self, options)
 
     def debug_dot_print(self, path: str, options: GraphDebugPrintOptions | None = None) -> None:
         """Write a GraphViz DOT representation of the graph to a file.
diff --git a/cuda_core/cuda/core/graph/_graph_node.pxd b/cuda_core/cuda/core/graph/_graph_node.pxd
index 0a87b70ad62..2ad4851a54c 100644
--- a/cuda_core/cuda/core/graph/_graph_node.pxd
+++ b/cuda_core/cuda/core/graph/_graph_node.pxd
@@ -2,8 +2,10 @@
 #
 # SPDX-License-Identifier: Apache-2.0
 
+from libc.stddef cimport size_t
+
 from cuda.bindings cimport cydriver
-from cuda.core._resource_handles cimport GraphHandle, GraphNodeHandle
+from cuda.core._resource_handles cimport GraphHandle, GraphNodeHandle, OpaqueHandle
 
 
 cdef class GraphNode:
@@ -13,3 +15,15 @@ cdef class GraphNode:
 
     @staticmethod
     cdef GraphNode _create(GraphHandle h_graph, cydriver.CUgraphNode node)
+
+
+cdef OpaqueHandle _resolve_memcpy_operand(
+    object operand, object owner, str side, cydriver.CUdeviceptr* out_ptr) except *
+
+cdef cydriver.CUmemorytype _get_memcpy_memory_type(
+    cydriver.CUdeviceptr ptr) except *
+
+cdef void _init_memcpy_params(
+    cydriver.CUdeviceptr dst, cydriver.CUdeviceptr src, size_t size,
+    cydriver.CUDA_MEMCPY3D* params, cydriver.CUmemorytype* dst_type,
+    cydriver.CUmemorytype* src_type) except *
diff --git a/cuda_core/cuda/core/graph/_graph_node.pyx b/cuda_core/cuda/core/graph/_graph_node.pyx
index 9e1cab09e7b..2c9c07e6b3a 100644
--- a/cuda_core/cuda/core/graph/_graph_node.pyx
+++ b/cuda_core/cuda/core/graph/_graph_node.pyx
@@ -163,13 +163,11 @@ cdef class GraphNode:
         already-destroyed node (no-op).
         """
         cdef cydriver.CUgraphNode node = as_cu(self._h_node)
-        cdef GraphHandle h_graph
-        cdef cydriver.CUresult cleanup_status
         cdef PreparedAttachment prepared
         if node == NULL:
             return
 
-        h_graph = graph_node_get_graph(self._h_node)
+        cdef GraphHandle h_graph = graph_node_get_graph(self._h_node)
         # Allocate the cleanup transaction before asking CUDA to destroy the
         # node. A failed CUDA call leaves metadata and wrappers unchanged.
         HANDLE_RETURN(graph_prepare_attachment(
@@ -178,7 +176,7 @@ cdef class GraphNode:
             HANDLE_RETURN(cydriver.cuGraphDestroyNode(node))
 
         # Publish attachment removal before invalidating graph and node aliases.
-        cleanup_status = graph_commit_attachment(prepared, node)
+        cdef cydriver.CUresult cleanup_status = graph_commit_attachment(prepared, node)
         invalidate_child_graph_state(h_graph, node)
         _node_registry.pop(<uintptr_t>self._h_node.get(), None)
         invalidate_graph_node(self._h_node)
@@ -209,6 +207,9 @@ cdef class GraphNode:
     def launch(self, config: LaunchConfig, kernel: Kernel, *args) -> KernelNode:
         """Add a kernel launch node depending on this node.
 
+        Clustered and cooperative launch configurations are not currently
+        supported for graph kernel nodes.
+
         .. warning::
 
             Use caution when a retained kernel argument directly or indirectly
@@ -360,8 +361,8 @@ cdef class GraphNode:
         cdef cydriver.CUdeviceptr c_dst
         cdef unsigned int val
         cdef unsigned int elem_size
-        cdef OpaqueHandle dst_attachment_owner
-        dst_attachment_owner = _resolve_memcpy_operand(dst, dst_owner, "dst", &c_dst)
+        cdef OpaqueHandle dst_attachment_owner = _resolve_memcpy_operand(
+            dst, dst_owner, "dst", &c_dst)
         val, elem_size = _parse_fill_value(value)
         return GN_memset(
             self, c_dst, dst_attachment_owner,
@@ -423,9 +424,10 @@ cdef class GraphNode:
         """
         cdef cydriver.CUdeviceptr c_dst
         cdef cydriver.CUdeviceptr c_src
-        cdef OpaqueHandle dst_attachment_owner, src_attachment_owner
-        dst_attachment_owner = _resolve_memcpy_operand(dst, dst_owner, "dst", &c_dst)
-        src_attachment_owner = _resolve_memcpy_operand(src, src_owner, "src", &c_src)
+        cdef OpaqueHandle dst_attachment_owner = _resolve_memcpy_operand(
+            dst, dst_owner, "dst", &c_dst)
+        cdef OpaqueHandle src_attachment_owner = _resolve_memcpy_operand(
+            src, src_owner, "src", &c_src)
         return GN_memcpy(
             self, c_dst, dst_attachment_owner,
             c_src, src_attachment_owner, size)
@@ -488,10 +490,12 @@ cdef class GraphNode:
         - **Python callable**: Pass any callable. The GIL is acquired
           automatically. The callable must take no arguments; use closures
           or ``functools.partial`` to bind state.
-        - **ctypes function pointer**: Pass a ``ctypes.CFUNCTYPE`` instance.
-          The function receives a single ``void*`` argument (the
-          ``user_data``). The caller must keep the ctypes wrapper alive
-          for the lifetime of the graph.
+        - **ctypes function pointer**: The function receives a single
+          ``void*`` argument (the ``user_data``), and the caller must keep
+          the ctypes wrapper alive for the lifetime of the graph. Its
+          declared prototype must match the driver's ``CUhostFn``
+          (``void (*)(void*)``): ``ctypes.CFUNCTYPE(None, ctypes.c_void_p)``,
+          or ``ctypes.WINFUNCTYPE(None, ctypes.c_void_p)`` on Windows.
 
         .. warning::
 
@@ -516,6 +520,14 @@ cdef class GraphNode:
         -------
         HostCallbackNode
             A new HostCallbackNode representing the callback.
+
+        Raises
+        ------
+        TypeError
+            If ``fn`` is a ctypes function pointer whose declared prototype
+            does not match ``CUhostFn``.
+        ValueError
+            If ``user_data`` is given for a Python callable.
         """
         return GN_callback(self, fn, user_data)
 
@@ -713,35 +725,40 @@ cdef inline GraphNode GN_create_impl(GraphNodeHandle h_node):
 
 
 cdef inline KernelNode GN_launch(GraphNode self, LaunchConfig conf, Kernel ker, ParamHolder ker_args):
-    cdef cydriver.CUDA_KERNEL_NODE_PARAMS node_params
     cdef cydriver.CUgraphNode new_node = NULL
     cdef GraphHandle h_graph = graph_node_get_graph(self._h_node)
     cdef cydriver.CUgraphNode pred_node = as_cu(self._h_node)
     cdef cydriver.CUgraphNode* deps = NULL
     cdef size_t num_deps = 0
-    cdef OpaqueHandle kernel_owner, args_owner
+    cdef OpaqueHandle args_owner
     cdef PreparedAttachment prepared
 
+    if conf.cluster is not None or conf.is_cooperative:
+        raise NotImplementedError(
+            "clustered or cooperative graph kernel nodes are not supported")
+
     if pred_node != NULL:
         deps = &pred_node
         num_deps = 1
 
-    node_params.kern = as_cu(ker._h_kernel)
-    node_params.func = <cydriver.CUfunction>NULL
-    node_params.gridDimX = conf.grid[0]
-    node_params.gridDimY = conf.grid[1]
-    node_params.gridDimZ = conf.grid[2]
-    node_params.blockDimX = conf.block[0]
-    node_params.blockDimY = conf.block[1]
-    node_params.blockDimZ = conf.block[2]
-    node_params.sharedMemBytes = conf.shmem_size
-    node_params.kernelParams = <void**><uintptr_t>(ker_args.ptr)
-    node_params.extra = NULL
-    node_params.ctx = <cydriver.CUcontext>NULL
+    cdef cydriver.CUDA_KERNEL_NODE_PARAMS node_params = cydriver.CUDA_KERNEL_NODE_PARAMS(
+        kern=as_cu(ker._h_kernel),
+        func=<cydriver.CUfunction>NULL,
+        gridDimX=conf.grid[0],
+        gridDimY=conf.grid[1],
+        gridDimZ=conf.grid[2],
+        blockDimX=conf.block[0],
+        blockDimY=conf.block[1],
+        blockDimZ=conf.block[2],
+        sharedMemBytes=conf.shmem_size,
+        kernelParams=<void**><uintptr_t>(ker_args.ptr),
+        extra=NULL,
+        ctx=<cydriver.CUcontext>NULL,
+    )
 
     # Keep the kernel and argument objects alive because CUDA copies argument
     # values but does not retain the resources they reference.
-    kernel_owner = ker._h_kernel
+    cdef OpaqueHandle kernel_owner = ker._h_kernel
     kernel_args = ker_args.kernel_args
     if kernel_args is not None:
         args_owner = make_opaque_py(kernel_args)
@@ -881,15 +898,17 @@ cdef inline FreeNode GN_free(GraphNode self, cydriver.CUdeviceptr c_dptr):
 
 cdef inline OpaqueHandle _buffer_attachment_owner(Buffer buf, str label):
     """Copy a Buffer's device-pointer handle into an attachment owner."""
-    cdef OpaqueHandle attachment_owner
     if not buf._h_ptr:
         raise ValueError(f"{label} Buffer has no active allocation")
-    attachment_owner = buf._h_ptr
+    # The local is required: Cython permits the DevicePtrHandle -> OpaqueHandle
+    # conversion on assignment, but not directly in a return statement.
+    cdef OpaqueHandle attachment_owner = buf._h_ptr
     return attachment_owner
 
 
 cdef inline OpaqueHandle _resolve_memcpy_operand(
-        object operand, object owner, str side, cydriver.CUdeviceptr* out_ptr):
+        object operand, object owner, str side,
+        cydriver.CUdeviceptr* out_ptr) except *:
     """Resolve an operand to a pointer and optional attachment owner.
 
     ``operand`` is a :class:`Buffer` or a raw integer address; its device
@@ -928,7 +947,6 @@ cdef inline MemsetNode GN_memset(
         GraphNode self, cydriver.CUdeviceptr c_dst, OpaqueHandle dst_owner,
         unsigned int val, unsigned int elem_size,
         size_t width, size_t height, size_t pitch):
-    cdef cydriver.CUDA_MEMSET_NODE_PARAMS memset_params
     cdef cydriver.CUgraphNode new_node = NULL
     cdef GraphHandle h_graph = graph_node_get_graph(self._h_node)
     cdef cydriver.CUgraphNode pred_node = as_cu(self._h_node)
@@ -944,13 +962,14 @@ cdef inline MemsetNode GN_memset(
     with nogil:
         HANDLE_RETURN(cydriver.cuCtxGetCurrent(&ctx))
 
-    c_memset(&memset_params, 0, sizeof(memset_params))
-    memset_params.dst = c_dst
-    memset_params.value = val
-    memset_params.elementSize = elem_size
-    memset_params.width = width
-    memset_params.height = height
-    memset_params.pitch = pitch
+    cdef cydriver.CUDA_MEMSET_NODE_PARAMS memset_params = cydriver.CUDA_MEMSET_NODE_PARAMS(
+        dst=c_dst,
+        pitch=pitch,
+        value=val,
+        elementSize=elem_size,
+        width=width,
+        height=height,
+    )
 
     if dst_owner:
         HANDLE_RETURN(graph_prepare_attachment(
@@ -969,46 +988,52 @@ cdef inline MemsetNode GN_memset(
         val, elem_size, width, height, pitch))
 
 
-cdef inline MemcpyNode GN_memcpy(
-        GraphNode self, cydriver.CUdeviceptr c_dst, OpaqueHandle dst_owner,
-        cydriver.CUdeviceptr c_src, OpaqueHandle src_owner, size_t size):
-    cdef unsigned int dst_mem_type = cydriver.CU_MEMORYTYPE_DEVICE
-    cdef unsigned int src_mem_type = cydriver.CU_MEMORYTYPE_DEVICE
+cdef cydriver.CUmemorytype _get_memcpy_memory_type(
+        cydriver.CUdeviceptr ptr) except *:
+    cdef unsigned int memory_type = cydriver.CU_MEMORYTYPE_DEVICE
     cdef cydriver.CUresult ret
     with nogil:
         ret = cydriver.cuPointerGetAttribute(
-            &dst_mem_type,
-            cydriver.CU_POINTER_ATTRIBUTE_MEMORY_TYPE,
-            c_dst)
-        if ret != cydriver.CUDA_SUCCESS and ret != cydriver.CUDA_ERROR_INVALID_VALUE:
-            HANDLE_RETURN(ret)
-        ret = cydriver.cuPointerGetAttribute(
-            &src_mem_type,
+            &memory_type,
             cydriver.CU_POINTER_ATTRIBUTE_MEMORY_TYPE,
-            c_src)
-        if ret != cydriver.CUDA_SUCCESS and ret != cydriver.CUDA_ERROR_INVALID_VALUE:
-            HANDLE_RETURN(ret)
-
-    cdef cydriver.CUmemorytype c_dst_type = <cydriver.CUmemorytype>dst_mem_type
-    cdef cydriver.CUmemorytype c_src_type = <cydriver.CUmemorytype>src_mem_type
-
-    cdef cydriver.CUDA_MEMCPY3D params
-    c_memset(&params, 0, sizeof(params))
-
-    params.srcMemoryType = c_src_type
-    params.dstMemoryType = c_dst_type
-    if c_src_type == cydriver.CU_MEMORYTYPE_HOST:
-        params.srcHost = <const void*><uintptr_t>c_src
+            ptr)
+    if ret != cydriver.CUDA_SUCCESS and ret != cydriver.CUDA_ERROR_INVALID_VALUE:
+        HANDLE_RETURN(ret)
+    return <cydriver.CUmemorytype>memory_type
+
+
+cdef void _init_memcpy_params(
+        cydriver.CUdeviceptr dst, cydriver.CUdeviceptr src, size_t size,
+        cydriver.CUDA_MEMCPY3D* params, cydriver.CUmemorytype* dst_type,
+        cydriver.CUmemorytype* src_type) except *:
+    dst_type[0] = _get_memcpy_memory_type(dst)
+    src_type[0] = _get_memcpy_memory_type(src)
+
+    c_memset(params, 0, sizeof(params[0]))
+    params.srcMemoryType = src_type[0]
+    params.dstMemoryType = dst_type[0]
+    if src_type[0] == cydriver.CU_MEMORYTYPE_HOST:
+        params.srcHost = <void*><uintptr_t>src
     else:
-        params.srcDevice = c_src
-    if c_dst_type == cydriver.CU_MEMORYTYPE_HOST:
-        params.dstHost = <void*><uintptr_t>c_dst
+        params.srcDevice = src
+    if dst_type[0] == cydriver.CU_MEMORYTYPE_HOST:
+        params.dstHost = <void*><uintptr_t>dst
     else:
-        params.dstDevice = c_dst
+        params.dstDevice = dst
     params.WidthInBytes = size
     params.Height = 1
     params.Depth = 1
 
+
+cdef inline MemcpyNode GN_memcpy(
+        GraphNode self, cydriver.CUdeviceptr c_dst, OpaqueHandle dst_owner,
+        cydriver.CUdeviceptr c_src, OpaqueHandle src_owner, size_t size):
+    cdef cydriver.CUDA_MEMCPY3D params
+    cdef cydriver.CUmemorytype c_dst_type
+    cdef cydriver.CUmemorytype c_src_type
+    _init_memcpy_params(
+        c_dst, c_src, size, &params, &c_dst_type, &c_src_type)
+
     cdef cydriver.CUgraphNode new_node = NULL
     cdef GraphHandle h_graph = graph_node_get_graph(self._h_node)
     cdef cydriver.CUgraphNode pred_node = as_cu(self._h_node)
@@ -1081,14 +1106,13 @@ cdef inline EventRecordNode GN_record_event(GraphNode self, Event ev):
     cdef cydriver.CUgraphNode pred_node = as_cu(self._h_node)
     cdef cydriver.CUgraphNode* deps = NULL
     cdef size_t num_deps = 0
-    cdef OpaqueHandle owner
     cdef PreparedAttachment prepared
 
     if pred_node != NULL:
         deps = &pred_node
         num_deps = 1
 
-    owner = ev._h_event
+    cdef OpaqueHandle owner = ev._h_event
     HANDLE_RETURN(graph_prepare_attachment(
         h_graph, owner, OpaqueHandle(), &prepared))
 
@@ -1108,14 +1132,13 @@ cdef inline EventWaitNode GN_wait_event(GraphNode self, Event ev):
     cdef cydriver.CUgraphNode pred_node = as_cu(self._h_node)
     cdef cydriver.CUgraphNode* deps = NULL
     cdef size_t num_deps = 0
-    cdef OpaqueHandle owner
     cdef PreparedAttachment prepared
 
     if pred_node != NULL:
         deps = &pred_node
         num_deps = 1
 
-    owner = ev._h_event
+    cdef OpaqueHandle owner = ev._h_event
     HANDLE_RETURN(graph_prepare_attachment(
         h_graph, owner, OpaqueHandle(), &prepared))
 
diff --git a/cuda_core/cuda/core/graph/_host_callback.pyx b/cuda_core/cuda/core/graph/_host_callback.pyx
index 27f251abeae..4fb48f0d6ec 100644
--- a/cuda_core/cuda/core/graph/_host_callback.pyx
+++ b/cuda_core/cuda/core/graph/_host_callback.pyx
@@ -14,9 +14,47 @@ from cuda.core._resource_handles cimport (
     make_opaque_py,
 )
 
+import sys
 import ctypes as ct
 
 
+# CUhostFn is `void (CUDA_CB *)(void*)`. CUDA_CB is __stdcall on Windows and
+# empty elsewhere, but ctypes only honors that distinction when it builds a
+# callback on 32-bit x86 Windows, which cuda.core does not support: on win-64
+# and ARM64 both CFUNCTYPE and WINFUNCTYPE produce a FFI_DEFAULT_ABI thunk. The
+# declared result and argument types are all that remain worth checking.
+_CUHOSTFN_HINT = (
+    "ctypes.CFUNCTYPE(None, ctypes.c_void_p)"
+    if sys.platform != "win32"
+    else "ctypes.CFUNCTYPE(None, ctypes.c_void_p) or "
+    "ctypes.WINFUNCTYPE(None, ctypes.c_void_p)"
+)
+
+
+def _cuhostfn_type_error(detail):
+    """Build the rejection message for a non-conforming ctypes callback."""
+    return TypeError(
+        f"host callback {detail}; CUDA requires a callback matching CUhostFn "
+        f"(void (*)(void*)), declared as {_CUHOSTFN_HINT}. "
+        "Alternatively, pass a Python callable."
+    )
+
+
+def _validate_ctypes_host_callback(fn):
+    """Reject ctypes callbacks whose declared prototype is not CUhostFn.
+
+    ``restype`` and ``argtypes`` are the prototype the caller declared, and are
+    what CUDA calls through. A function pointer taken from a shared library
+    keeps ctypes' defaults -- a ``c_int`` result and unspecified arguments --
+    until the caller declares otherwise, so it must be declared to be accepted.
+    """
+    restype = fn.restype
+    argtypes = fn.argtypes
+    if restype is not None or argtypes is None or tuple(argtypes) != (ct.c_void_p,):
+        raise _cuhostfn_type_error(
+            f"has prototype restype={restype!r}, argtypes={argtypes!r}")
+
+
 cdef void _py_host_trampoline(void* data) noexcept with gil:
     (<object>data)()
 
@@ -36,8 +74,12 @@ cdef void _resolve_host_callback(
     ``cuGraphAddHostNode`` or ``cuLaunchHostFunc``. ``*out_fn_owner`` owns the
     callback object; ``*out_data_owner`` owns a copied ``user_data`` buffer and
     is left null otherwise. The caller attaches both owners to the graph node.
+
+    ctypes callbacks are validated against the ``CUhostFn`` ABI before their
+    address is passed to CUDA.
     """
     if isinstance(fn, ct._CFuncPtr):
+        _validate_ctypes_host_callback(fn)
         out_fn[0] = <cydriver.CUhostFn><uintptr_t>ct.cast(fn, ct.c_void_p).value
         if user_data is None:
             out_user_data[0] = NULL
@@ -54,6 +96,9 @@ cdef void _resolve_host_callback(
             else:
                 out_user_data[0] = NULL
     else:
+        if not callable(fn):
+            raise TypeError(
+                f"callback must be callable, got {type(fn).__name__}")
         if user_data is not None:
             raise ValueError(
                 "user_data is only supported with ctypes function pointers")
diff --git a/cuda_core/cuda/core/graph/_subclasses.pxd b/cuda_core/cuda/core/graph/_subclasses.pxd
index 7f84b713429..7f92eafe7e8 100644
--- a/cuda_core/cuda/core/graph/_subclasses.pxd
+++ b/cuda_core/cuda/core/graph/_subclasses.pxd
@@ -7,7 +7,13 @@ from libc.stddef cimport size_t
 from cuda.bindings cimport cydriver
 from cuda.core.graph._graph_definition cimport GraphCondition
 from cuda.core.graph._graph_node cimport GraphNode
-from cuda.core._resource_handles cimport EventHandle, GraphHandle, GraphNodeHandle, KernelHandle
+from cuda.core._resource_handles cimport (
+    EventHandle,
+    GraphExecHandle,
+    GraphHandle,
+    GraphNodeHandle,
+    KernelHandle,
+)
 
 
 cdef class EmptyNode(GraphNode):
@@ -172,3 +178,41 @@ cdef class WhileNode(ConditionalNode):
 
 cdef class SwitchNode(ConditionalNode):
     pass
+
+
+cdef class ExecutableGraphNode:
+    cdef:
+        GraphExecHandle _h_graph_exec
+        GraphNodeHandle _h_node
+
+
+cdef class ExecutableKernelNode(ExecutableGraphNode):
+    pass
+
+
+cdef class ExecutableMemsetNode(ExecutableGraphNode):
+    pass
+
+
+cdef class ExecutableMemcpyNode(ExecutableGraphNode):
+    pass
+
+
+cdef class ExecutableChildGraphNode(ExecutableGraphNode):
+    pass
+
+
+cdef class ExecutableEventRecordNode(ExecutableGraphNode):
+    pass
+
+
+cdef class ExecutableEventWaitNode(ExecutableGraphNode):
+    pass
+
+
+cdef class ExecutableHostCallbackNode(ExecutableGraphNode):
+    pass
+
+
+cdef ExecutableGraphNode create_executable_node_view(
+    const GraphExecHandle& h_exec, GraphNode node)
diff --git a/cuda_core/cuda/core/graph/_subclasses.pyx b/cuda_core/cuda/core/graph/_subclasses.pyx
index 2fa08e2a6a1..79e302d59d5 100644
--- a/cuda_core/cuda/core/graph/_subclasses.pyx
+++ b/cuda_core/cuda/core/graph/_subclasses.pyx
@@ -8,29 +8,54 @@ from __future__ import annotations
 
 from libc.stddef cimport size_t
 from libc.stdint cimport uintptr_t
+from libc.string cimport memset as c_memset
 
 from cuda.bindings cimport cydriver
 
 from cuda.core._event cimport Event
+from cuda.core._kernel_arg_handler cimport ParamHolder
 from cuda.core._launch_config cimport LaunchConfig
+from cuda.core._memory._buffer cimport Buffer
 from cuda.core._module cimport Kernel
 from cuda.core.graph._graph_definition cimport GraphCondition, GraphDefinition
-from cuda.core.graph._graph_node cimport GraphNode
+from cuda.core.graph._graph_node cimport (
+    GraphNode,
+    _get_memcpy_memory_type,
+    _init_memcpy_params,
+    _resolve_memcpy_operand,
+)
 from cuda.core._resource_handles cimport (
     EventHandle,
+    GraphExecHandle,
     GraphHandle,
-    KernelHandle,
     GraphNodeHandle,
+    KernelHandle,
+    OpaqueHandle,
+    PreparedAttachment,
+    PreparedChildGraphUpdate,
+    PreparedExecAttachment,
     as_cu,
     as_intptr,
-    create_event_handle_ref,
     create_child_graph_handle,
+    create_event_handle_ref,
     create_kernel_handle_ref,
+    graph_commit_attachment,
+    graph_commit_child_graph_update,
+    graph_commit_exec_attachment,
+    graph_get_attachment,
     graph_node_get_graph,
+    graph_prepare_attachment,
+    graph_prepare_child_graph_update,
+    graph_prepare_exec_attachment,
+    make_opaque_py,
 )
-from cuda.core._utils.cuda_utils cimport HANDLE_RETURN
+from cuda.core._utils.cuda_utils cimport HANDLE_RETURN, _parse_fill_value
+from cuda.core._utils.version cimport cy_binding_version, cy_driver_version
 
-from cuda.core.graph._host_callback cimport _is_py_host_trampoline
+from cuda.core.graph._host_callback cimport (
+    _is_py_host_trampoline,
+    _resolve_host_callback,
+)
 
 from cuda.core._utils.cuda_utils import driver, handle_return
 from cuda.core.typing import GraphConditionalType
@@ -42,6 +67,14 @@ __all__ = [
     'EmptyNode',
     'EventRecordNode',
     'EventWaitNode',
+    'ExecutableChildGraphNode',
+    'ExecutableEventRecordNode',
+    'ExecutableEventWaitNode',
+    'ExecutableGraphNode',
+    'ExecutableHostCallbackNode',
+    'ExecutableKernelNode',
+    'ExecutableMemcpyNode',
+    'ExecutableMemsetNode',
     'FreeNode',
     'HostCallbackNode',
     'IfElseNode',
@@ -57,6 +90,117 @@ __all__ = [
 cdef bint _has_cuGraphNodeGetParams = False
 cdef bint _version_checked = False
 
+
+cdef void _require_graph_node_update_support() except *:
+    cdef tuple version = cy_driver_version()
+    if version < (12, 2, 0):
+        raise RuntimeError(
+            "Graph node mutation requires CUDA driver 12.2 or newer; "
+            f"using driver version {'.'.join(map(str, version))}"
+        )
+    version = cy_binding_version()
+    if version < (12, 2, 0):
+        raise RuntimeError(
+            "Graph node mutation requires cuda.bindings 12.2 or newer; "
+            f"using cuda.bindings version {'.'.join(map(str, version))}"
+        )
+
+
+cdef void _set_definition_node_params(
+        const GraphNodeHandle& h_node,
+        cydriver.CUgraphNodeParams* params,
+        OpaqueHandle owner0,
+        OpaqueHandle owner1=OpaqueHandle(),
+        cydriver.CUcontext update_ctx=NULL) except *:
+    _require_graph_node_update_support()
+
+    cdef GraphHandle h_graph = graph_node_get_graph(h_node)
+    cdef cydriver.CUgraphNode node = as_cu(h_node)
+    cdef cydriver.CUcontext previous_ctx = NULL
+    cdef bint restore_ctx = False
+    cdef PreparedAttachment prepared
+
+    HANDLE_RETURN(graph_prepare_attachment(
+        h_graph, owner0, owner1, &prepared))
+    if update_ctx != NULL:
+        with nogil:
+            HANDLE_RETURN(cydriver.cuCtxGetCurrent(&previous_ctx))
+            if previous_ctx != update_ctx:
+                HANDLE_RETURN(cydriver.cuCtxSetCurrent(update_ctx))
+                restore_ctx = True
+    try:
+        with nogil:
+            HANDLE_RETURN(cydriver.cuGraphNodeSetParams(node, params))
+    finally:
+        if restore_ctx:
+            with nogil:
+                HANDLE_RETURN(cydriver.cuCtxSetCurrent(previous_ctx))
+    HANDLE_RETURN(graph_commit_attachment(prepared, node))
+
+
+cdef void _set_executable_node_params(
+        const GraphExecHandle& h_exec,
+        const GraphNodeHandle& h_node,
+        cydriver.CUgraphNodeParams* params,
+        OpaqueHandle owner0=OpaqueHandle(),
+        OpaqueHandle owner1=OpaqueHandle()) except *:
+    _require_graph_node_update_support()
+
+    cdef cydriver.CUgraphExec graph_exec = as_cu(h_exec)
+    cdef cydriver.CUgraphNode node = as_cu(h_node)
+    if graph_exec == NULL:
+        raise ValueError("executable graph has been closed")
+    if node == NULL:
+        raise ValueError("source graph node is no longer valid")
+
+    cdef PreparedExecAttachment prepared
+    HANDLE_RETURN(graph_prepare_exec_attachment(
+        h_exec, owner0, owner1, &prepared))
+
+    cdef cydriver.CUresult status
+    with nogil:
+        status = cydriver.cuGraphExecNodeSetParams(
+            graph_exec, node, params)
+    if status == cydriver.CUDA_SUCCESS:
+        graph_commit_exec_attachment(prepared)
+    HANDLE_RETURN(status)
+
+
+cdef bint _get_executable_node_enabled(
+        const GraphExecHandle& h_exec,
+        const GraphNodeHandle& h_node) except *:
+    _require_graph_node_update_support()
+
+    cdef cydriver.CUgraphExec graph_exec = as_cu(h_exec)
+    cdef cydriver.CUgraphNode node = as_cu(h_node)
+    cdef unsigned int enabled
+    if graph_exec == NULL:
+        raise ValueError("executable graph has been closed")
+    if node == NULL:
+        raise ValueError("source graph node is no longer valid")
+    with nogil:
+        HANDLE_RETURN(cydriver.cuGraphNodeGetEnabled(
+            graph_exec, node, &enabled))
+    return enabled != 0
+
+
+cdef void _set_executable_node_enabled(
+        const GraphExecHandle& h_exec,
+        const GraphNodeHandle& h_node,
+        bint enabled) except *:
+    _require_graph_node_update_support()
+
+    cdef cydriver.CUgraphExec graph_exec = as_cu(h_exec)
+    cdef cydriver.CUgraphNode node = as_cu(h_node)
+    if graph_exec == NULL:
+        raise ValueError("executable graph has been closed")
+    if node == NULL:
+        raise ValueError("source graph node is no longer valid")
+    with nogil:
+        HANDLE_RETURN(cydriver.cuGraphNodeSetEnabled(
+            graph_exec, node, <unsigned int>enabled))
+
+
 cdef bint _check_node_get_params():
     global _has_cuGraphNodeGetParams, _version_checked
     if not _version_checked:
@@ -68,6 +212,54 @@ cdef bint _check_node_get_params():
     return _has_cuGraphNodeGetParams
 
 
+cdef void _reject_unsupported_kernel_node(
+        cydriver.CUgraphNode node) except *:
+    cdef cydriver.CUkernelNodeAttrValue cluster
+    cdef cydriver.CUkernelNodeAttrValue cooperative
+
+    c_memset(&cluster, 0, sizeof(cluster))
+    c_memset(&cooperative, 0, sizeof(cooperative))
+    with nogil:
+        HANDLE_RETURN(cydriver.cuGraphKernelNodeGetAttribute(
+            node, <cydriver.CUkernelNodeAttrID>(
+                cydriver.CU_KERNEL_NODE_ATTRIBUTE_CLUSTER_DIMENSION),
+            &cluster))
+        HANDLE_RETURN(cydriver.cuGraphKernelNodeGetAttribute(
+            node, <cydriver.CUkernelNodeAttrID>(
+                cydriver.CU_KERNEL_NODE_ATTRIBUTE_COOPERATIVE),
+            &cooperative))
+    if (cluster.clusterDim.x != 0 or cluster.clusterDim.y != 0 or
+            cluster.clusterDim.z != 0 or cooperative.cooperative != 0):
+        raise NotImplementedError(
+            "updating clustered or cooperative kernel nodes is not supported")
+
+
+cdef bint _is_supported_memcpy_descriptor(
+        cydriver.CUDA_MEMCPY3D* params) noexcept nogil:
+    return (
+        (params.srcMemoryType == cydriver.CU_MEMORYTYPE_HOST or
+         params.srcMemoryType == cydriver.CU_MEMORYTYPE_DEVICE)
+        and (params.dstMemoryType == cydriver.CU_MEMORYTYPE_HOST or
+             params.dstMemoryType == cydriver.CU_MEMORYTYPE_DEVICE)
+        and params.srcXInBytes == 0
+        and params.srcY == 0
+        and params.srcZ == 0
+        and params.srcLOD == 0
+        and params.srcPitch == 0
+        and params.srcHeight == 0
+        and params.dstXInBytes == 0
+        and params.dstY == 0
+        and params.dstZ == 0
+        and params.dstLOD == 0
+        and params.dstPitch == 0
+        and params.dstHeight == 0
+        and params.Height == 1
+        and params.Depth == 1
+        and params.reserved0 == NULL
+        and params.reserved1 == NULL
+    )
+
+
 cdef class EmptyNode(GraphNode):
     """An empty (synchronization) node."""
 
@@ -130,6 +322,99 @@ cdef class KernelNode(GraphNode):
         return (f"<KernelNode handle=0x{as_intptr(self._h_node):x}"
                 f" kernel=0x{as_intptr(self._h_kernel):x}>")
 
+    def update(
+        self,
+        *,
+        config: LaunchConfig | None = None,
+        kernel: Kernel | None = None,
+        args=None,
+    ) -> None:
+        """Replace selected kernel launch parameters.
+
+        Omitted parameters preserve their current values. Changing ``kernel``
+        requires ``args``, including ``args=()`` for a no-argument kernel.
+        Clustered and cooperative kernel nodes are not supported.
+
+        .. warning::
+
+            Use caution when a retained kernel argument directly or indirectly
+            owns a graph. Any reference cycle involving the argument and a
+            graph that retains it cannot be broken by Python's cyclic garbage
+            collector. Use a weak reference to break such cycles.
+        """
+        cdef LaunchConfig c_config
+        cdef Kernel c_kernel
+        cdef ParamHolder arg_holder
+        cdef object kernel_args
+        cdef KernelHandle h_kernel = self._h_kernel
+        cdef OpaqueHandle kernel_owner
+        cdef OpaqueHandle args_owner
+        cdef GraphHandle h_graph = graph_node_get_graph(self._h_node)
+        cdef cydriver.CUgraphNode node = as_cu(self._h_node)
+        cdef cydriver.CUgraphNodeParams params
+
+        if config is not None:
+            c_config = config
+            if (c_config.cluster is not None or
+                    c_config.is_cooperative):
+                raise NotImplementedError(
+                    "updating clustered or cooperative kernel nodes is not "
+                    "supported")
+        _require_graph_node_update_support()
+        _reject_unsupported_kernel_node(node)
+        if kernel is not None:
+            if args is None:
+                raise ValueError("changing kernel requires args")
+            c_kernel = kernel
+            h_kernel = c_kernel._h_kernel
+        if args is not None:
+            arg_holder = ParamHolder(args)
+
+        c_memset(&params, 0, sizeof(params))
+        params.type = cydriver.CU_GRAPH_NODE_TYPE_KERNEL
+        with nogil:
+            HANDLE_RETURN(cydriver.cuGraphKernelNodeGetParams(
+                node, <cydriver.CUDA_KERNEL_NODE_PARAMS*>&params.kernel))
+        HANDLE_RETURN(graph_get_attachment(
+            h_graph, node, &kernel_owner, &args_owner))
+
+        if config is not None:
+            params.kernel.gridDimX = c_config.grid[0]
+            params.kernel.gridDimY = c_config.grid[1]
+            params.kernel.gridDimZ = c_config.grid[2]
+            params.kernel.blockDimX = c_config.block[0]
+            params.kernel.blockDimY = c_config.block[1]
+            params.kernel.blockDimZ = c_config.block[2]
+            params.kernel.sharedMemBytes = c_config.shmem_size
+        if kernel is not None:
+            params.kernel.kern = as_cu(h_kernel)
+            params.kernel.func = <cydriver.CUfunction>NULL
+            params.kernel.ctx = <cydriver.CUcontext>NULL
+            kernel_owner = h_kernel
+        if args is not None:
+            params.kernel.kernelParams = <void**><uintptr_t>arg_holder.ptr
+            params.kernel.extra = NULL
+            kernel_args = arg_holder.kernel_args
+            if kernel_args is None:
+                args_owner = OpaqueHandle()
+            else:
+                args_owner = make_opaque_py(kernel_args)
+
+        _set_definition_node_params(
+            self._h_node, &params, kernel_owner, args_owner)
+        self._grid = (
+            params.kernel.gridDimX,
+            params.kernel.gridDimY,
+            params.kernel.gridDimZ,
+        )
+        self._block = (
+            params.kernel.blockDimX,
+            params.kernel.blockDimY,
+            params.kernel.blockDimZ,
+        )
+        self._shmem_size = params.kernel.sharedMemBytes
+        self._h_kernel = h_kernel
+
     @property
     def grid(self) -> tuple[int, int, int]:
         """Grid dimensions as a 3-tuple (gridDimX, gridDimY, gridDimZ)."""
@@ -340,6 +625,102 @@ cdef class MemsetNode(GraphNode):
         return (f"<MemsetNode handle=0x{as_intptr(self._h_node):x}"
                 f" dptr=0x{self._dptr:x} value={self._value}>")
 
+    def update(
+        self,
+        *,
+        dst: Buffer | int | None = None,
+        value=None,
+        width: int | None = None,
+        height: int | None = None,
+        pitch: int | None = None,
+        dst_owner=None,
+    ) -> None:
+        """Replace selected memset parameters.
+
+        Omitted parameters preserve their current values. ``dst_owner`` may
+        only accompany a raw-address ``dst``.
+
+        With CUDA 12.2 through 13.1, the node's intended CUDA context must be
+        current when this method is called. CUDA driver and ``cuda.bindings``
+        versions 13.2 and newer preserve the recorded context automatically.
+
+        .. warning::
+
+            Use caution when a retained operand owner directly or indirectly
+            owns a graph. Any reference cycle involving the owner and a graph
+            that retains it cannot be broken by Python's cyclic garbage
+            collector. Use a weak reference to break such cycles.
+        """
+        cdef OpaqueHandle dst_attachment_owner
+        cdef GraphHandle h_graph
+        cdef cydriver.CUgraphNode node = as_cu(self._h_node)
+        cdef cydriver.CUcontext ctx = NULL
+        cdef cydriver.CUDA_MEMSET_NODE_PARAMS current
+        cdef cydriver.CUgraphNodeParams params
+        cdef object queried
+
+        if dst is None and dst_owner is not None:
+            raise ValueError("dst_owner requires dst")
+        if (dst is None and value is None and width is None and
+                height is None and pitch is None):
+            return
+
+        c_memset(&params, 0, sizeof(params))
+        params.type = cydriver.CU_GRAPH_NODE_TYPE_MEMSET
+        with nogil:
+            HANDLE_RETURN(cydriver.cuGraphMemsetNodeGetParams(
+                node, &current))
+        if _check_node_get_params():
+            queried = handle_return(driver.cuGraphNodeGetParams(
+                <uintptr_t>node))
+            ctx = <cydriver.CUcontext><uintptr_t>int(queried.memset.ctx)
+        else:
+            with nogil:
+                HANDLE_RETURN(cydriver.cuCtxGetCurrent(&ctx))
+
+        cdef cydriver.CUdeviceptr c_dst = current.dst
+        cdef unsigned int c_value = current.value
+        cdef unsigned int c_element_size = current.elementSize
+        cdef size_t c_width = current.width
+        cdef size_t c_height = current.height
+        cdef size_t c_pitch = current.pitch
+
+        if dst is None:
+            h_graph = graph_node_get_graph(self._h_node)
+            HANDLE_RETURN(graph_get_attachment(
+                h_graph, node,
+                &dst_attachment_owner, NULL))
+        else:
+            dst_attachment_owner = _resolve_memcpy_operand(
+                dst, dst_owner, "dst", &c_dst)
+
+        if value is not None:
+            c_value, c_element_size = _parse_fill_value(value)
+        if width is not None:
+            c_width = width
+        if height is not None:
+            c_height = height
+        if pitch is not None:
+            c_pitch = pitch
+
+        params.memset.dst = c_dst
+        params.memset.value = c_value
+        params.memset.elementSize = c_element_size
+        params.memset.width = c_width
+        params.memset.height = c_height
+        params.memset.pitch = c_pitch
+        params.memset.ctx = ctx
+
+        _set_definition_node_params(
+            self._h_node, &params, dst_attachment_owner,
+            OpaqueHandle(), params.memset.ctx)
+        self._dptr = c_dst
+        self._value = c_value
+        self._element_size = c_element_size
+        self._width = c_width
+        self._height = c_height
+        self._pitch = c_pitch
+
     @property
     def dptr(self) -> int:
         """The destination device pointer."""
@@ -428,6 +809,133 @@ cdef class MemcpyNode(GraphNode):
         return (f"<MemcpyNode handle=0x{as_intptr(self._h_node):x}"
                 f" dst=0x{self._dst:x}({dt}) src=0x{self._src:x}({st}) size={self._size}>")
 
+    def update(
+        self,
+        *,
+        dst: Buffer | int | None = None,
+        src: Buffer | int | None = None,
+        size: int | None = None,
+        dst_owner=None,
+        src_owner=None,
+    ) -> None:
+        """Replace selected memcpy parameters.
+
+        Omitted parameters preserve their current values. ``dst_owner`` and
+        ``src_owner`` may only accompany their corresponding raw addresses.
+        Multidimensional, pitched, offset, and array-backed memcpy nodes are
+        not supported.
+
+        With CUDA 12.2 through 13.1, the node's intended CUDA context must be
+        current when this method is called. CUDA driver and ``cuda.bindings``
+        versions 13.2 and newer preserve the recorded context automatically.
+
+        .. warning::
+
+            Use caution when a retained operand owner directly or indirectly
+            owns a graph. Any reference cycle involving the owner and a graph
+            that retains it cannot be broken by Python's cyclic garbage
+            collector. Use a weak reference to break such cycles.
+        """
+        cdef cydriver.CUdeviceptr c_dst = self._dst
+        cdef cydriver.CUdeviceptr c_src = self._src
+        cdef OpaqueHandle dst_attachment_owner
+        cdef OpaqueHandle src_attachment_owner
+        cdef GraphHandle h_graph = graph_node_get_graph(self._h_node)
+        cdef cydriver.CUgraphNode node = as_cu(self._h_node)
+        cdef cydriver.CUcontext ctx = NULL
+        cdef cydriver.CUgraphNodeParams params
+        cdef cydriver.CUmemorytype c_dst_type
+        cdef cydriver.CUmemorytype c_src_type
+        cdef object queried
+
+        if dst is None and dst_owner is not None:
+            raise ValueError("dst_owner requires dst")
+        if src is None and src_owner is not None:
+            raise ValueError("src_owner requires src")
+        if dst is None and src is None and size is None:
+            return
+
+        c_memset(&params, 0, sizeof(params))
+        params.type = cydriver.CU_GRAPH_NODE_TYPE_MEMCPY
+        with nogil:
+            HANDLE_RETURN(cydriver.cuGraphMemcpyNodeGetParams(
+                node, &params.memcpy.copyParams))
+        if _check_node_get_params():
+            queried = handle_return(driver.cuGraphNodeGetParams(
+                <uintptr_t>node))
+            ctx = <cydriver.CUcontext><uintptr_t>int(
+                queried.memcpy.copyCtx)
+        else:
+            with nogil:
+                HANDLE_RETURN(cydriver.cuCtxGetCurrent(&ctx))
+        params.memcpy.copyCtx = ctx
+
+        if not _is_supported_memcpy_descriptor(&params.memcpy.copyParams):
+            raise NotImplementedError(
+                "updating multidimensional, pitched, offset, or array-backed "
+                "memcpy nodes is not supported")
+
+        c_dst_type = params.memcpy.copyParams.dstMemoryType
+        c_src_type = params.memcpy.copyParams.srcMemoryType
+        if c_dst_type == cydriver.CU_MEMORYTYPE_HOST:
+            c_dst = <cydriver.CUdeviceptr><uintptr_t>(
+                params.memcpy.copyParams.dstHost)
+        elif c_dst_type == cydriver.CU_MEMORYTYPE_DEVICE:
+            c_dst = params.memcpy.copyParams.dstDevice
+        else:
+            raise NotImplementedError(
+                f"unsupported destination memory type: {int(c_dst_type)}")
+        if c_src_type == cydriver.CU_MEMORYTYPE_HOST:
+            c_src = <cydriver.CUdeviceptr><uintptr_t>(
+                params.memcpy.copyParams.srcHost)
+        elif c_src_type == cydriver.CU_MEMORYTYPE_DEVICE:
+            c_src = params.memcpy.copyParams.srcDevice
+        else:
+            raise NotImplementedError(
+                f"unsupported source memory type: {int(c_src_type)}")
+
+        HANDLE_RETURN(graph_get_attachment(
+            h_graph, node,
+            &dst_attachment_owner, &src_attachment_owner))
+        if dst is not None:
+            dst_attachment_owner = _resolve_memcpy_operand(
+                dst, dst_owner, "dst", &c_dst)
+            c_dst_type = _get_memcpy_memory_type(c_dst)
+            params.memcpy.copyParams.dstMemoryType = c_dst_type
+            params.memcpy.copyParams.dstHost = NULL
+            params.memcpy.copyParams.dstDevice = 0
+            params.memcpy.copyParams.dstArray = NULL
+            params.memcpy.copyParams.reserved1 = NULL
+            if c_dst_type == cydriver.CU_MEMORYTYPE_HOST:
+                params.memcpy.copyParams.dstHost = <void*><uintptr_t>c_dst
+            else:
+                params.memcpy.copyParams.dstDevice = c_dst
+        if src is not None:
+            src_attachment_owner = _resolve_memcpy_operand(
+                src, src_owner, "src", &c_src)
+            c_src_type = _get_memcpy_memory_type(c_src)
+            params.memcpy.copyParams.srcMemoryType = c_src_type
+            params.memcpy.copyParams.srcHost = NULL
+            params.memcpy.copyParams.srcDevice = 0
+            params.memcpy.copyParams.srcArray = NULL
+            params.memcpy.copyParams.reserved0 = NULL
+            if c_src_type == cydriver.CU_MEMORYTYPE_HOST:
+                params.memcpy.copyParams.srcHost = <void*><uintptr_t>c_src
+            else:
+                params.memcpy.copyParams.srcDevice = c_src
+        if size is not None:
+            params.memcpy.copyParams.WidthInBytes = size
+
+        _set_definition_node_params(
+            self._h_node, &params,
+            dst_attachment_owner, src_attachment_owner,
+            params.memcpy.copyCtx)
+        self._dst = c_dst
+        self._src = c_src
+        self._size = params.memcpy.copyParams.WidthInBytes
+        self._dst_type = c_dst_type
+        self._src_type = c_src_type
+
     @property
     def dst(self) -> int:
         """The destination pointer."""
@@ -478,6 +986,37 @@ cdef class ChildGraphNode(GraphNode):
         return (f"<ChildGraphNode handle=0x{as_intptr(self._h_node):x}"
                 f" child=0x{as_intptr(self._h_child_graph):x}>")
 
+    def update(self, child: GraphDefinition) -> None:
+        """Replace the embedded graph with a clone of ``child``.
+
+        ``child`` must belong to an independent graph hierarchy.
+        """
+        cdef GraphHandle h_parent = graph_node_get_graph(self._h_node)
+        cdef GraphHandle h_replacement
+        cdef cydriver.CUgraphNode node = as_cu(self._h_node)
+        cdef cydriver.CUgraphNodeParams params
+        cdef cydriver.CUresult commit_status
+        cdef PreparedChildGraphUpdate prepared
+
+        _require_graph_node_update_support()
+        c_memset(&params, 0, sizeof(params))
+        params.type = cydriver.CU_GRAPH_NODE_TYPE_GRAPH
+        params.graph.graph = as_cu(child._h_graph)
+
+        HANDLE_RETURN(graph_prepare_child_graph_update(
+            h_parent, self._h_child_graph, node,
+            child._h_graph, &prepared))
+        with nogil:
+            HANDLE_RETURN(cydriver.cuGraphNodeSetParams(
+                node, &params))
+        try:
+            commit_status = graph_commit_child_graph_update(
+                prepared, &h_replacement)
+        finally:
+            if h_replacement:
+                self._h_child_graph = h_replacement
+        HANDLE_RETURN(commit_status)
+
     @property
     def child_graph(self) -> GraphDefinition:
         """The embedded graph definition (non-owning wrapper)."""
@@ -516,6 +1055,19 @@ cdef class EventRecordNode(GraphNode):
         return (f"<EventRecordNode handle=0x{as_intptr(self._h_node):x}"
                 f" event=0x{as_intptr(self._h_event):x}>")
 
+    def update(self, event: Event) -> None:
+        """Replace the event recorded by this node."""
+        cdef OpaqueHandle event_owner = event._h_event
+        cdef cydriver.CUgraphNodeParams params
+
+        c_memset(&params, 0, sizeof(params))
+        params.type = cydriver.CU_GRAPH_NODE_TYPE_EVENT_RECORD
+        params.eventRecord.event = as_cu(event._h_event)
+
+        _set_definition_node_params(
+            self._h_node, &params, event_owner)
+        self._h_event = event._h_event
+
     @property
     def event(self) -> Event:
         """The event being recorded."""
@@ -554,6 +1106,19 @@ cdef class EventWaitNode(GraphNode):
         return (f"<EventWaitNode handle=0x{as_intptr(self._h_node):x}"
                 f" event=0x{as_intptr(self._h_event):x}>")
 
+    def update(self, event: Event) -> None:
+        """Replace the event waited on by this node."""
+        cdef OpaqueHandle event_owner = event._h_event
+        cdef cydriver.CUgraphNodeParams params
+
+        c_memset(&params, 0, sizeof(params))
+        params.type = cydriver.CU_GRAPH_NODE_TYPE_WAIT_EVENT
+        params.eventWait.event = as_cu(event._h_event)
+
+        _set_definition_node_params(
+            self._h_node, &params, event_owner)
+        self._h_event = event._h_event
+
     @property
     def event(self) -> Event:
         """The event being waited on."""
@@ -604,6 +1169,42 @@ cdef class HostCallbackNode(GraphNode):
         return (f"<HostCallbackNode handle=0x{as_intptr(self._h_node):x}"
                 f" cfunc=0x{<uintptr_t>self._fn:x}>")
 
+    def update(self, fn, *, user_data=None) -> None:
+        """Replace the callback and user-data binding for this node.
+
+        ``fn`` accepts the same forms as :meth:`~graph.GraphNode.callback`: a
+        Python callable, or a ctypes function pointer whose declared prototype
+        matches ``CUhostFn`` (``void (*)(void*)``). A mismatched ctypes
+        prototype raises ``TypeError``.
+
+        .. warning::
+
+            Callbacks must not call CUDA API functions. Doing so may
+            deadlock or corrupt driver state.
+
+            Use caution when a Python callback retains an object that owns a
+            graph. Any reference cycle involving the callback and a graph that
+            retains it cannot be broken by Python's cyclic garbage collector.
+            Use a weak reference to break such cycles.
+        """
+        cdef cydriver.CUhostFn c_fn
+        cdef void* c_user_data
+        cdef OpaqueHandle fn_owner, data_owner
+        cdef cydriver.CUgraphNodeParams params
+
+        _resolve_host_callback(
+            fn, user_data, &c_fn, &c_user_data, &fn_owner, &data_owner)
+        c_memset(&params, 0, sizeof(params))
+        params.type = cydriver.CU_GRAPH_NODE_TYPE_HOST
+        params.host.fn = c_fn
+        params.host.userData = c_user_data
+
+        _set_definition_node_params(
+            self._h_node, &params, fn_owner, data_owner)
+        self._callable = fn if _is_py_host_trampoline(c_fn) else None
+        self._fn = c_fn
+        self._user_data = c_user_data
+
     @property
     def callback(self):
         """The Python callable, or None for ctypes function pointer callbacks."""
@@ -765,3 +1366,302 @@ cdef class SwitchNode(ConditionalNode):
     def __repr__(self) -> str:
         return (f"<SwitchNode handle=0x{as_intptr(self._h_node):x}"
                 f" condition=0x{<unsigned long long>self._condition._c_handle:x}>")
+
+
+cdef class ExecutableGraphNode:
+    """A lightweight view pairing an executable graph with a source node.
+
+    Create executable-node views with ``graph[node]``. CUDA validates that the
+    node identifies a node in the executable graph when an operation is
+    performed.
+    """
+
+    def __init__(self):
+        raise RuntimeError(
+            "directly constructing an executable graph node is not supported")
+
+    def __repr__(self) -> str:
+        return (
+            f"<{type(self).__name__} graph=0x{as_intptr(self._h_graph_exec):x}"
+            f" node=0x{as_intptr(self._h_node):x}>"
+        )
+
+
+cdef class ExecutableKernelNode(ExecutableGraphNode):
+    """An executable kernel-node view."""
+
+    def update(
+        self,
+        *,
+        config: LaunchConfig,
+        kernel: Kernel,
+        args,
+    ) -> None:
+        """Replace all kernel launch parameters for future launches.
+
+        ``args`` must contain the complete argument sequence; use ``args=()``
+        for a no-argument kernel. Clustered and cooperative launch
+        configurations are not supported.
+        """
+        cdef LaunchConfig c_config = config
+        cdef Kernel c_kernel = kernel
+        cdef ParamHolder arg_holder
+        cdef object kernel_args
+        cdef OpaqueHandle kernel_owner = c_kernel._h_kernel
+        cdef OpaqueHandle args_owner
+        cdef cydriver.CUgraphNodeParams params
+
+        if c_config.cluster is not None or c_config.is_cooperative:
+            raise NotImplementedError(
+                "updating clustered or cooperative kernel nodes is not "
+                "supported")
+        arg_holder = ParamHolder(args)
+
+        c_memset(&params, 0, sizeof(params))
+        params.type = cydriver.CU_GRAPH_NODE_TYPE_KERNEL
+        params.kernel.kern = as_cu(c_kernel._h_kernel)
+        params.kernel.func = <cydriver.CUfunction>NULL
+        params.kernel.gridDimX = c_config.grid[0]
+        params.kernel.gridDimY = c_config.grid[1]
+        params.kernel.gridDimZ = c_config.grid[2]
+        params.kernel.blockDimX = c_config.block[0]
+        params.kernel.blockDimY = c_config.block[1]
+        params.kernel.blockDimZ = c_config.block[2]
+        params.kernel.sharedMemBytes = c_config.shmem_size
+        params.kernel.kernelParams = <void**><uintptr_t>arg_holder.ptr
+        params.kernel.extra = NULL
+        params.kernel.ctx = <cydriver.CUcontext>NULL
+
+        kernel_args = arg_holder.kernel_args
+        if kernel_args is not None:
+            args_owner = make_opaque_py(kernel_args)
+        _set_executable_node_params(
+            self._h_graph_exec, self._h_node, &params,
+            kernel_owner, args_owner)
+
+    @property
+    def is_enabled(self) -> bool:
+        """Whether this node is enabled in the executable graph."""
+        return _get_executable_node_enabled(
+            self._h_graph_exec, self._h_node)
+
+    def enable(self) -> None:
+        """Enable this node in the executable graph."""
+        _set_executable_node_enabled(
+            self._h_graph_exec, self._h_node, True)
+
+    def disable(self) -> None:
+        """Disable this node in the executable graph."""
+        _set_executable_node_enabled(
+            self._h_graph_exec, self._h_node, False)
+
+
+cdef class ExecutableMemsetNode(ExecutableGraphNode):
+    """An executable memset-node view."""
+
+    def update(
+        self,
+        *,
+        dst: Buffer | int,
+        value,
+        size_t width,
+        size_t height=1,
+        size_t pitch=0,
+    ) -> None:
+        """Replace all memset parameters for future launches."""
+        cdef cydriver.CUdeviceptr c_dst
+        cdef OpaqueHandle dst_owner = _resolve_memcpy_operand(
+            dst, None, "dst", &c_dst)
+        cdef unsigned int c_value
+        cdef unsigned int element_size
+        c_value, element_size = _parse_fill_value(value)
+
+        cdef cydriver.CUcontext ctx = NULL
+        cdef cydriver.CUgraphNodeParams params
+        with nogil:
+            HANDLE_RETURN(cydriver.cuCtxGetCurrent(&ctx))
+
+        c_memset(&params, 0, sizeof(params))
+        params.type = cydriver.CU_GRAPH_NODE_TYPE_MEMSET
+        params.memset.dst = c_dst
+        params.memset.value = c_value
+        params.memset.elementSize = element_size
+        params.memset.width = width
+        params.memset.height = height
+        params.memset.pitch = pitch
+        params.memset.ctx = ctx
+        _set_executable_node_params(
+            self._h_graph_exec, self._h_node, &params, dst_owner)
+
+    @property
+    def is_enabled(self) -> bool:
+        """Whether this node is enabled in the executable graph."""
+        return _get_executable_node_enabled(
+            self._h_graph_exec, self._h_node)
+
+    def enable(self) -> None:
+        """Enable this node in the executable graph."""
+        _set_executable_node_enabled(
+            self._h_graph_exec, self._h_node, True)
+
+    def disable(self) -> None:
+        """Disable this node in the executable graph."""
+        _set_executable_node_enabled(
+            self._h_graph_exec, self._h_node, False)
+
+
+cdef class ExecutableMemcpyNode(ExecutableGraphNode):
+    """An executable memcpy-node view."""
+
+    def update(
+        self,
+        *,
+        dst: Buffer | int,
+        src: Buffer | int,
+        size_t size,
+    ) -> None:
+        """Replace all one-dimensional memcpy parameters for future launches."""
+        cdef cydriver.CUdeviceptr c_dst
+        cdef cydriver.CUdeviceptr c_src
+        cdef OpaqueHandle dst_owner = _resolve_memcpy_operand(
+            dst, None, "dst", &c_dst)
+        cdef OpaqueHandle src_owner = _resolve_memcpy_operand(
+            src, None, "src", &c_src)
+        cdef cydriver.CUmemorytype dst_type
+        cdef cydriver.CUmemorytype src_type
+        cdef cydriver.CUcontext ctx = NULL
+        cdef cydriver.CUgraphNodeParams params
+
+        c_memset(&params, 0, sizeof(params))
+        params.type = cydriver.CU_GRAPH_NODE_TYPE_MEMCPY
+        _init_memcpy_params(
+            c_dst, c_src, size, &params.memcpy.copyParams,
+            &dst_type, &src_type)
+        with nogil:
+            HANDLE_RETURN(cydriver.cuCtxGetCurrent(&ctx))
+        params.memcpy.copyCtx = ctx
+        _set_executable_node_params(
+            self._h_graph_exec, self._h_node, &params,
+            dst_owner, src_owner)
+
+    @property
+    def is_enabled(self) -> bool:
+        """Whether this node is enabled in the executable graph."""
+        return _get_executable_node_enabled(
+            self._h_graph_exec, self._h_node)
+
+    def enable(self) -> None:
+        """Enable this node in the executable graph."""
+        _set_executable_node_enabled(
+            self._h_graph_exec, self._h_node, True)
+
+    def disable(self) -> None:
+        """Disable this node in the executable graph."""
+        _set_executable_node_enabled(
+            self._h_graph_exec, self._h_node, False)
+
+
+cdef class ExecutableChildGraphNode(ExecutableGraphNode):
+    """An executable child-graph-node view."""
+
+    def update(self, child: GraphDefinition) -> None:
+        """Replace the embedded graph parameters for future launches."""
+        cdef cydriver.CUgraphNodeParams params
+        c_memset(&params, 0, sizeof(params))
+        params.type = cydriver.CU_GRAPH_NODE_TYPE_GRAPH
+        params.graph.graph = as_cu(child._h_graph)
+        _set_executable_node_params(
+            self._h_graph_exec, self._h_node, &params)
+
+
+cdef class ExecutableEventRecordNode(ExecutableGraphNode):
+    """An executable event-record-node view."""
+
+    def update(self, event: Event) -> None:
+        """Replace the event recorded by future launches."""
+        cdef OpaqueHandle event_owner = event._h_event
+        cdef cydriver.CUgraphNodeParams params
+        c_memset(&params, 0, sizeof(params))
+        params.type = cydriver.CU_GRAPH_NODE_TYPE_EVENT_RECORD
+        params.eventRecord.event = as_cu(event._h_event)
+        _set_executable_node_params(
+            self._h_graph_exec, self._h_node, &params, event_owner)
+
+
+cdef class ExecutableEventWaitNode(ExecutableGraphNode):
+    """An executable event-wait-node view."""
+
+    def update(self, event: Event) -> None:
+        """Replace the event waited on by future launches."""
+        cdef OpaqueHandle event_owner = event._h_event
+        cdef cydriver.CUgraphNodeParams params
+        c_memset(&params, 0, sizeof(params))
+        params.type = cydriver.CU_GRAPH_NODE_TYPE_WAIT_EVENT
+        params.eventWait.event = as_cu(event._h_event)
+        _set_executable_node_params(
+            self._h_graph_exec, self._h_node, &params, event_owner)
+
+
+cdef class ExecutableHostCallbackNode(ExecutableGraphNode):
+    """An executable host-callback-node view."""
+
+    def update(self, fn, *, user_data=None) -> None:
+        """Replace the callback and user-data binding for future launches.
+
+        ``fn`` may be a Python callable, or a ctypes function pointer whose
+        declared prototype matches ``CUhostFn`` (``void (*)(void*)``); a
+        mismatched prototype raises ``TypeError``.
+
+        .. warning::
+
+            Callbacks must not call CUDA API functions. Doing so may deadlock
+            or corrupt driver state.
+        """
+        cdef cydriver.CUhostFn c_fn
+        cdef void* c_user_data
+        cdef OpaqueHandle fn_owner
+        cdef OpaqueHandle data_owner
+        cdef cydriver.CUgraphNodeParams params
+
+        _resolve_host_callback(
+            fn, user_data, &c_fn, &c_user_data, &fn_owner, &data_owner)
+        c_memset(&params, 0, sizeof(params))
+        params.type = cydriver.CU_GRAPH_NODE_TYPE_HOST
+        params.host.fn = c_fn
+        params.host.userData = c_user_data
+        _set_executable_node_params(
+            self._h_graph_exec, self._h_node, &params,
+            fn_owner, data_owner)
+
+
+cdef ExecutableGraphNode create_executable_node_view(
+        const GraphExecHandle& h_exec,
+        GraphNode node):
+    cdef type view_type
+    if isinstance(node, KernelNode):
+        view_type = ExecutableKernelNode
+    elif isinstance(node, MemsetNode):
+        view_type = ExecutableMemsetNode
+    elif isinstance(node, MemcpyNode):
+        view_type = ExecutableMemcpyNode
+    elif isinstance(node, ChildGraphNode):
+        view_type = ExecutableChildGraphNode
+    elif isinstance(node, EventRecordNode):
+        view_type = ExecutableEventRecordNode
+    elif isinstance(node, EventWaitNode):
+        view_type = ExecutableEventWaitNode
+    elif isinstance(node, HostCallbackNode):
+        view_type = ExecutableHostCallbackNode
+    else:
+        raise TypeError(
+            f"{type(node).__name__} does not support executable updates")
+
+    if as_cu(h_exec) == NULL:
+        raise ValueError("executable graph has been closed")
+    if as_cu(node._h_node) == NULL:
+        raise ValueError("source graph node is no longer valid")
+
+    cdef ExecutableGraphNode view = view_type.__new__(view_type)
+    view._h_graph_exec = h_exec
+    view._h_node = node._h_node
+    return view
diff --git a/cuda_core/cuda/core/system/__init__.py b/cuda_core/cuda/core/system/__init__.py
index 685519f9b80..acb648549bc 100644
--- a/cuda_core/cuda/core/system/__init__.py
+++ b/cuda_core/cuda/core/system/__init__.py
@@ -12,8 +12,10 @@
 
 __all__ = [
     "CUDA_BINDINGS_NVML_IS_COMPATIBLE",
+    "get_driver_branch",
     "get_kernel_mode_driver_version",
     "get_num_devices",
+    "get_nvml_version",
     "get_process_name",
     "get_user_mode_driver_version",
 ]
@@ -40,7 +42,6 @@
     from .exceptions import *
     from .exceptions import __all__ as _exceptions_all
 
-    __all__.append("get_nvml_version")
     __all__.extend(_device_all)
     __all__.extend(_system_events_all)
     __all__.extend(_exceptions_all)
diff --git a/cuda_core/cuda/core/system/_device.pyx b/cuda_core/cuda/core/system/_device.pyx
index fb4b9a3916d..c3bf23fe025 100644
--- a/cuda_core/cuda/core/system/_device.pyx
+++ b/cuda_core/cuda/core/system/_device.pyx
@@ -2,6 +2,8 @@
 #
 # SPDX-License-Identifier: Apache-2.0
 
+from __future__ import annotations
+
 from libc.stdint cimport intptr_t, uint64_t
 from libc.math cimport ceil
 
diff --git a/cuda_core/cuda/core/system/_process.pxi b/cuda_core/cuda/core/system/_process.pxi
index 019ebf5c323..4266f5b5914 100644
--- a/cuda_core/cuda/core/system/_process.pxi
+++ b/cuda_core/cuda/core/system/_process.pxi
@@ -7,7 +7,7 @@ class ProcessInfo:
     """
     Information about running compute processes on the GPU.
     """
-    def __init__(self, device: "Device", process_info: nvml.ProcessInfo):
+    def __init__(self, device: Device, process_info: nvml.ProcessInfo):
         self._device = device
         self._process_info = process_info
 
diff --git a/cuda_core/cuda/core/system/_temperature.pxi b/cuda_core/cuda/core/system/_temperature.pxi
index f5eed73de2c..82dc0cab785 100644
--- a/cuda_core/cuda/core/system/_temperature.pxi
+++ b/cuda_core/cuda/core/system/_temperature.pxi
@@ -173,7 +173,9 @@ cdef class Temperature:
             nvml.TemperatureThresholds.TEMPERATURE_THRESHOLD_MEM_MAX,
             nvml.TemperatureThresholds.TEMPERATURE_THRESHOLD_GPU_MAX
         ):
-            device_arch = nvml.DeviceArch(nvml.device_get_architecture(self._handle))
+            # Compare the raw value so newer NVML architecture constants remain
+            # forward-compatible.
+            device_arch = nvml.device_get_architecture(self._handle)
             if device_arch >= nvml.DeviceArch.ADA:
                 warnings.warn(
                     f"{threshold_type} is no longer recommended for Ada and later architectures. "
diff --git a/cuda_core/cuda/core/texture/_array.pyx b/cuda_core/cuda/core/texture/_array.pyx
index 0a1cb671daf..684ba79460f 100644
--- a/cuda_core/cuda/core/texture/_array.pyx
+++ b/cuda_core/cuda/core/texture/_array.pyx
@@ -522,7 +522,6 @@ def _create_opaque_array(options):
     shape_t = opts.shape
 
     cdef cydriver.CUarray_format c_format = <cydriver.CUarray_format>_ARRAYFORMAT_TO_CU[opts.format]
-    cdef cydriver.CUDA_ARRAY3D_DESCRIPTOR desc3d
     cdef int rank = len(shape_t)
     cdef unsigned int flags = (
         cydriver.CUDA_ARRAY3D_SURFACE_LDST if opts.is_surface_load_store else 0
@@ -530,13 +529,14 @@ def _create_opaque_array(options):
 
     # cuArray3DCreate handles 1D/2D/3D uniformly (Height/Depth 0 sentinels),
     # so a single descriptor + create_array_handle covers every shape.
-    memset(&desc3d, 0, sizeof(desc3d))
-    desc3d.Width = <size_t>shape_t[0]
-    desc3d.Height = <size_t>(shape_t[1] if rank >= 2 else 0)
-    desc3d.Depth = <size_t>(shape_t[2] if rank >= 3 else 0)
-    desc3d.Format = c_format
-    desc3d.NumChannels = <unsigned int>opts.num_channels
-    desc3d.Flags = flags
+    cdef cydriver.CUDA_ARRAY3D_DESCRIPTOR desc3d = cydriver.CUDA_ARRAY3D_DESCRIPTOR(
+        Width=<size_t>shape_t[0],
+        Height=<size_t>(shape_t[1] if rank >= 2 else 0),
+        Depth=<size_t>(shape_t[2] if rank >= 3 else 0),
+        Format=c_format,
+        NumChannels=<unsigned int>opts.num_channels,
+        Flags=flags,
+    )
 
     cdef OpaqueArrayHandle h = create_array_handle(desc3d)
     if not h:
diff --git a/cuda_core/cuda/core/texture/_mipmapped_array.pyx b/cuda_core/cuda/core/texture/_mipmapped_array.pyx
index 3f151f7bb9f..e9ad0fa478b 100644
--- a/cuda_core/cuda/core/texture/_mipmapped_array.pyx
+++ b/cuda_core/cuda/core/texture/_mipmapped_array.pyx
@@ -4,8 +4,6 @@
 
 from __future__ import annotations
 
-from libc.string cimport memset
-
 from cuda.bindings cimport cydriver
 from cuda.core.texture._array cimport _array_from_handle
 from cuda.core.texture._array import (
@@ -201,7 +199,6 @@ def _create_mipmapped_array(options):
     shape_t = opts.shape
 
     cdef cydriver.CUarray_format c_format = <cydriver.CUarray_format>_ARRAYFORMAT_TO_CU[opts.format]
-    cdef cydriver.CUDA_ARRAY3D_DESCRIPTOR desc3d
     cdef int rank = len(shape_t)
     cdef unsigned int flags = (
         cydriver.CUDA_ARRAY3D_SURFACE_LDST if opts.is_surface_load_store else 0
@@ -210,13 +207,14 @@ def _create_mipmapped_array(options):
 
     # Mipmap creation uses the 3D descriptor regardless of rank; lower-rank
     # shapes use Height=0/Depth=0 sentinels, matching cuArray3DCreate.
-    memset(&desc3d, 0, sizeof(desc3d))
-    desc3d.Width = <size_t>shape_t[0]
-    desc3d.Height = <size_t>(shape_t[1] if rank >= 2 else 0)
-    desc3d.Depth = <size_t>(shape_t[2] if rank >= 3 else 0)
-    desc3d.Format = c_format
-    desc3d.NumChannels = <unsigned int>opts.num_channels
-    desc3d.Flags = flags
+    cdef cydriver.CUDA_ARRAY3D_DESCRIPTOR desc3d = cydriver.CUDA_ARRAY3D_DESCRIPTOR(
+        Width=<size_t>shape_t[0],
+        Height=<size_t>(shape_t[1] if rank >= 2 else 0),
+        Depth=<size_t>(shape_t[2] if rank >= 3 else 0),
+        Format=c_format,
+        NumChannels=<unsigned int>opts.num_channels,
+        Flags=flags,
+    )
 
     cdef MipmappedArrayHandle h = create_mipmapped_array_handle(desc3d, c_levels)
     if not h:
diff --git a/cuda_core/docs/source/api.rst b/cuda_core/docs/source/api.rst
index 089e68576c9..e903a46a7ee 100644
--- a/cuda_core/docs/source/api.rst
+++ b/cuda_core/docs/source/api.rst
@@ -154,6 +154,22 @@ Every graph node is a subclass of :class:`~graph.GraphNode`, which
 provides the common interface (dependencies, successors, destruction).
 Each subclass exposes attributes unique to its operation type.
 
+Parameter-bearing definition nodes expose subclass-specific ``update()``
+methods: :class:`~graph.KernelNode`, :class:`~graph.MemcpyNode`,
+:class:`~graph.MemsetNode`, :class:`~graph.ChildGraphNode`,
+:class:`~graph.EventRecordNode`, :class:`~graph.EventWaitNode`, and
+:class:`~graph.HostCallbackNode`. These methods require CUDA driver and
+``cuda.bindings`` versions 12.2 or newer. Updates affect future graph
+instantiations; executable graphs that were already instantiated continue
+using their previous parameters and retained resources. Omitted optional
+arguments preserve their current values where supported.
+On CUDA 12.2 through 13.1, the intended CUDA context must be current when
+updating memcpy or memset nodes. CUDA driver and ``cuda.bindings`` versions
+13.2 and newer preserve the recorded context automatically.
+Multidimensional or array-backed memcpy nodes and clustered or cooperative
+kernel nodes cannot currently be updated. Clustered and cooperative kernel
+nodes also cannot currently be constructed explicitly.
+
 .. autosummary::
    :toctree: generated/
 
@@ -175,6 +191,41 @@ Each subclass exposes attributes unique to its operation type.
    graph.WhileNode
    graph.SwitchNode
 
+Executable node views
+`````````````````````
+
+Index an executable :class:`~graph.Graph` with a definition node to update that
+node in the executable, for example
+``graph[kernel_node].update(config=config, kernel=kernel, args=args)``.
+The returned view retains the executable and source node, while CUDA validates
+that the node is associated with the executable.
+
+Executable graphs do not support reading back current node parameters, so
+updates take a complete replacement. Buffer operands, kernels, events, kernel
+arguments, and callback bindings are retained for every future launch that may
+use them. Superseded resources remain retained until a successful whole-graph
+update or executable destruction. Raw integer addresses remain caller-owned.
+Memcpy and memset updates use the current CUDA context, which must match the
+original node context.
+
+Kernel, memcpy, and memset views also provide ``is_enabled``, ``enable()``, and
+``disable()``. Executable-node updates require CUDA driver and
+``cuda.bindings`` versions 12.2 or newer.
+
+.. autosummary::
+   :toctree: generated/
+
+   :template: autosummary/cyclass.rst
+
+   graph.ExecutableGraphNode
+   graph.ExecutableKernelNode
+   graph.ExecutableMemcpyNode
+   graph.ExecutableMemsetNode
+   graph.ExecutableHostCallbackNode
+   graph.ExecutableChildGraphNode
+   graph.ExecutableEventRecordNode
+   graph.ExecutableEventWaitNode
+
 
 Graphics interoperability
 -------------------------
diff --git a/cuda_core/docs/source/api_nvml.rst b/cuda_core/docs/source/api_nvml.rst
index 7780dd6086e..c96b68ab701 100644
--- a/cuda_core/docs/source/api_nvml.rst
+++ b/cuda_core/docs/source/api_nvml.rst
@@ -45,3 +45,11 @@ Types
 
    Device
    NvlinkInfo
+
+Constants
+---------
+
+.. autosummary::
+   :toctree: generated/
+
+   CUDA_BINDINGS_NVML_IS_COMPATIBLE
diff --git a/cuda_core/docs/source/api_private.rst b/cuda_core/docs/source/api_private.rst
index 907fc2f5bcf..80675799c07 100644
--- a/cuda_core/docs/source/api_private.rst
+++ b/cuda_core/docs/source/api_private.rst
@@ -40,11 +40,12 @@ CUDA runtime
    typing.VirtualMemoryGranularityType
    typing.VirtualMemoryHandleType
    typing.VirtualMemoryLocationType
+   typing.WorkqueueSharingScopeType
 
    :template: autosummary/cyclass.rst
 
+   DeviceResources
    _device.DeviceProperties
-   _device_resources.DeviceResources
    _memory._ipc.IPCAllocationHandle
    _memory._ipc.IPCBufferDescriptor
    _memory._managed_buffer.AccessedBySetProxy
@@ -125,3 +126,36 @@ NVML
    system.typing.TemperatureThresholds
    system.typing.ThermalController
    system.typing.ThermalTarget
+
+   system.NvmlError
+   system.UninitializedError
+   system.InvalidArgumentError
+   system.NotSupportedError
+   system.NoPermissionError
+   system.AlreadyInitializedError
+   system.NotFoundError
+   system.InsufficientSizeError
+   system.InsufficientPowerError
+   system.DriverNotLoadedError
+   system.TimeoutError
+   system.IrqIssueError
+   system.LibraryNotFoundError
+   system.FunctionNotFoundError
+   system.CorruptedInforomError
+   system.GpuIsLostError
+   system.ResetRequiredError
+   system.OperatingSystemError
+   system.LibRmVersionMismatchError
+   system.InUseError
+   system.MemoryError
+   system.NoDataError
+   system.VgpuEccNotSupportedError
+   system.InsufficientResourcesError
+   system.FreqNotSupportedError
+   system.ArgumentVersionMismatchError
+   system.DeprecatedError
+   system.NotReadyError
+   system.GpuNotFoundError
+   system.InvalidStateError
+   system.ResetTypeNotSupportedError
+   system.UnknownError
diff --git a/cuda_core/docs/source/install.rst b/cuda_core/docs/source/install.rst
index a49aab7c966..c048cfb2a2c 100644
--- a/cuda_core/docs/source/install.rst
+++ b/cuda_core/docs/source/install.rst
@@ -110,7 +110,7 @@ Development with uv
 
 .. code-block:: console
 
-   $ git clone https://github.com/NVIDIA/cuda-python
+   $ git clone https://github.com/NVIDIA/cuda-python.git
    $ cd cuda-python/cuda_core
    $ uv venv
    $ source .venv/bin/activate   # On Windows: .venv\Scripts\activate
@@ -132,7 +132,7 @@ From the repository root:
 
 .. code-block:: console
 
-   $ git clone https://github.com/NVIDIA/cuda-python
+   $ git clone https://github.com/NVIDIA/cuda-python.git
    $ cd cuda-python
    $ pixi run -e cu13 test-core
 
@@ -151,8 +151,18 @@ Installing from Source
 
 .. code-block:: console
 
-   $ git clone https://github.com/NVIDIA/cuda-python
+   $ git clone https://github.com/NVIDIA/cuda-python.git
    $ cd cuda-python/cuda_core
    $ pip install .
 
 ``cuda-bindings`` 12.x or 13.x is a required dependency.
+
+.. note::
+
+   The version is derived from git tags via ``setuptools-scm``, so the clone
+   must include tags reaching back to at least the latest ``cuda-core-v*`` tag.
+   Do not use ``--depth`` or ``--no-tags``: a shallow clone builds without
+   error but produces a bogus version such as ``0.1.dev1+g0d22cb444``. See
+   `Cloning the repository
+   <https://github.com/NVIDIA/cuda-python/blob/main/CONTRIBUTING.md>`_
+   for details and recovery steps.
diff --git a/cuda_core/docs/source/release/1.1.1-notes.rst b/cuda_core/docs/source/release/1.1.1-notes.rst
new file mode 100644
index 00000000000..66d74e3540b
--- /dev/null
+++ b/cuda_core/docs/source/release/1.1.1-notes.rst
@@ -0,0 +1,59 @@
+.. SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+.. SPDX-License-Identifier: Apache-2.0
+
+.. currentmodule:: cuda.core
+
+``cuda.core`` 1.1.1 Release Notes
+=================================
+
+
+New features
+------------
+
+- Added :meth:`ObjectCode.get_module` for interoperability with legacy
+  ``CUmodule``-based driver APIs. The method returns a context-dependent
+  ``CUmodule`` handle via ``cuLibraryGetModule``, bridging the newer
+  context-independent library API to existing code that expects a module.
+  (`#2339 <https://github.com/NVIDIA/cuda-python/pull/2339>`__)
+
+- ``cuda.core`` C++ headers are now included in source distributions and
+  installed wheels, making them available to downstream projects that extend
+  ``cuda.core`` at the C++ level.
+  (`#2236 <https://github.com/NVIDIA/cuda-python/pull/2236>`__)
+
+
+Fixes and enhancements
+----------------------
+
+- This cuda-core patch release was issued to be compatible with cuda-bindings
+  13.4.0b1.  Version strings that include PEP 440 pre-release suffixes (e.g.
+  ``0b1``) are now parsed correctly; previously they caused an ``ImportError``
+  on startup.
+
+- Graph nodes now properly retain per-node user-object attachments (kernel
+  argument buffers, host-callback functions and user data, and
+  memcpy/memset operands) for the full lifetime of the graph.
+  (`#2357 <https://github.com/NVIDIA/cuda-python/pull/2357>`__)
+
+- Graph user-object payload cleanup is now deferred to the main Python thread
+  via ``Py_AddPendingCall``, avoiding unsafe cross-thread Python object
+  destruction that could occur when CUDA invoked the destructor callback on an
+  internal driver thread.
+  (`#2371 <https://github.com/NVIDIA/cuda-python/pull/2371>`__)
+
+- The on-disk program cache directory is now created with owner-only
+  permissions (``0o700``) on POSIX systems, and those permissions are
+  re-asserted on each use.  This prevents other local users from reading or
+  injecting cached device code regardless of the process ``umask``.
+  (`#2399 <https://github.com/NVIDIA/cuda-python/pull/2399>`__)
+
+- DLPack: a ``NULL`` deleter in a ``DLManagedTensorVersioned`` capsule is now
+  handled correctly per the DLPack specification; previously it would cause a
+  crash.
+  (`#2427 <https://github.com/NVIDIA/cuda-python/pull/2427>`__)
+
+- Corrected NumPy version guards for writing into DLPack host arrays.  The
+  minimum required NumPy version for such writes is now correctly enforced as
+  2.2.5+; earlier NumPy versions return a read-only buffer
+  (``numpy GH#28632``) and would error rather than skip.
+  (`#2238 <https://github.com/NVIDIA/cuda-python/pull/2238>`__)
diff --git a/cuda_core/docs/source/release/1.2.0-notes.rst b/cuda_core/docs/source/release/1.2.0-notes.rst
index 6a047c9cfe8..ef28e7931e4 100644
--- a/cuda_core/docs/source/release/1.2.0-notes.rst
+++ b/cuda_core/docs/source/release/1.2.0-notes.rst
@@ -18,6 +18,73 @@ Fixes and enhancements
   (`#2357 <https://github.com/NVIDIA/cuda-python/pull/2357>`__,
   `#2371 <https://github.com/NVIDIA/cuda-python/pull/2371>`__)
 
+- Added ``update()`` methods to kernel, memcpy, memset, child-graph, event
+  record, event wait, and host-callback graph definition nodes. Updates change
+  parameters used by future graph instantiations without affecting existing
+  executable graphs. This feature requires CUDA driver and ``cuda.bindings``
+  versions 12.2 or newer.
+  (`#2352 <https://github.com/NVIDIA/cuda-python/issues/2352>`__)
+
+- Added ``graph[node]`` views for updating nodes in an executable graph.
+  Kernel, memcpy, memset, child-graph, event, and host-callback parameters can
+  be replaced without reinstantiating the graph. Kernel, memcpy, and memset
+  nodes can also be enabled or disabled. Resources introduced by these updates
+  remain alive through in-flight launches. Superseded resources stay retained
+  until a successful whole-graph update or executable graph destruction. This
+  feature requires CUDA driver and ``cuda.bindings`` versions 12.2 or newer.
+  (`#2353 <https://github.com/NVIDIA/cuda-python/issues/2353>`__,
+  `#2354 <https://github.com/NVIDIA/cuda-python/issues/2354>`__)
+
+- The default-stream singletons ``LEGACY_DEFAULT_STREAM`` and
+  ``PER_THREAD_DEFAULT_STREAM`` no longer cache the first context and device
+  they observe. A default-stream token refers to whatever context is current,
+  so ``Stream.context``, ``Stream.device``, ``Stream.resources``, and
+  ``Stream.record()`` now resolve against the current context on every call.
+  Previously the first query pinned the singleton to one context for the
+  lifetime of the process, which also kept that context alive.
+  (`#2485 <https://github.com/NVIDIA/cuda-python/issues/2485>`__)
+
+- :meth:`Linker.which_backend` and constructing a :class:`Linker` no longer
+  raise ``FunctionNotFoundError`` when an nvJitLink older than 12.3
+  (12.0–12.2) is installed. These versions do not export the unversioned
+  ``nvJitLinkVersion`` symbol, so probing the version crashed instead of
+  falling back. ``cuda.core`` now warns and falls back to the driver
+  (``cuLink``) backend, restoring the pre-0.7.0 behavior.
+  (`#2409 <https://github.com/NVIDIA/cuda-python/pull/2409>`__,
+  closes `#2408 <https://github.com/NVIDIA/cuda-python/issues/2408>`__)
+
+- :class:`ProgramOptions` now accepts ``name=None`` and falls back to the
+  documented default ``"default_program"``. Previously the annotated and
+  documented ``None`` raised ``AttributeError`` during construction.
+  (`#2517 <https://github.com/NVIDIA/cuda-python/pull/2517>`__,
+  closes `#2516 <https://github.com/NVIDIA/cuda-python/issues/2516>`__)
+
+- ``cuda.core`` now checks ctypes host callbacks against the driver's
+  ``CUhostFn`` signature (``void (*)(void*)``) before passing the function
+  pointer to CUDA. :meth:`graph.GraphNode.callback`,
+  :meth:`graph.GraphBuilder.callback`, and the host-callback ``update()``
+  methods raise ``TypeError`` for a mismatched prototype, rather than leaving
+  the driver to call through an incompatible signature, which is undefined
+  behavior. Declarations that previously reached the driver, such as
+  ``ctypes.CFUNCTYPE(ctypes.c_int, ctypes.c_void_p)``, are now rejected at the
+  call site. A function pointer obtained from a shared library keeps ctypes'
+  default ``c_int`` result type until it is declared, so set its ``restype``
+  and ``argtypes`` (or cast it to the prototype above) before passing it. On
+  Windows, both ``ctypes.CFUNCTYPE`` and ``ctypes.WINFUNCTYPE`` are accepted.
+  (`#2439 <https://github.com/NVIDIA/cuda-python/issues/2439>`__)
+
+- Starting with CUDA 13.4, unconstrained SM-resource discovery through
+  :meth:`SMResource.split` with ``SMResourceOptions(count=None)`` may return
+  every available SM, even when that count is not divisible by the device's
+  :attr:`SMResource.coscheduled_alignment`. CUDA 13.1 through 13.3 returned an
+  aligned subset for the same request. An omitted or zero
+  ``coscheduled_sm_count`` still selects the driver's default internally, but
+  CUDA 13.4 no longer guarantees that the returned :attr:`SMResource.sm_count`
+  is a multiple of that default. A green context created from the discovered
+  group may therefore span the full GPU and leave an empty remainder. Set
+  ``coscheduled_sm_count`` explicitly when an aligned result is required.
+  (`#2389 <https://github.com/NVIDIA/cuda-python/pull/2389>`__)
+
 Deprecation Notices
 -------------------
 
diff --git a/cuda_core/pixi.lock b/cuda_core/pixi.lock
index ebaf967facd..b8f6cbac479 100644
--- a/cuda_core/pixi.lock
+++ b/cuda_core/pixi.lock
@@ -42,6 +42,8 @@ environments:
   cu12:
     channels:
     - url: https://conda.anaconda.org/conda-forge/
+    indexes:
+    - https://pypi.org/simple
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
@@ -64,7 +66,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvvm-impl-12.9.86-h4bc722e_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvvm-tools-12.9.86-h4bc722e_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-profiler-api-12.9.79-h7938cbb_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cython-3.2.4-py314h1807b08_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cython-3.2.8-py314h1807b08_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/dav1d-1.2.1-hd590300_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/dbus-1.16.2-h24cb091_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ffmpeg-8.0.1-gpl_hcddb375_914.conda
@@ -104,15 +106,15 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libflac-1.5.0-he200343_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libfreetype-2.14.2-ha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libfreetype6-2.14.2-h73754d4_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-15.2.0-he0feb66_18.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-15.2.0-h69a702a_18.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-16.1.0-ha9f2e26_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-16.1.0-h69a702a_1.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-12.9-h4f385c5_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/docutils-0.23-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.3.1-pyhd8ed1ab_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-inconsolata-3.000-h77eed37_0.tar.bz2
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       - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.23.0-pyhcf101f3_1.conda
-      - conda_source: cuda-core[2472945f] @ .
+      - conda_source: cuda-core[e53261c5] @ .
+      - pypi: ../cuda_python_test_helpers
       linux-aarch64:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/_openmp_mutex-4.5-20_gnu.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/alsa-lib-1.2.15.3-he30d5cf_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-nvvm-tools-12.9.86-h7b14b0b_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-profiler-api-12.9.79-h16bee8c_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cython-3.2.4-py314h4c416a3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cython-3.2.9-py314hc6b4731_0.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgcc-ng-15.2.0-he9431aa_18.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgcc-16.1.0-h205dda4_1.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgomp-15.2.0-h8acb6b2_18.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsqlite-3.52.0-h10b116e_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libstdcxx-15.2.0-hef695bb_18.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libstdcxx-ng-15.2.0-hdbbeba8_18.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libstdcxx-16.1.0-hef695bb_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libstdcxx-ng-16.1.0-hdbbeba8_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsystemd0-257.10-hf9559e3_4.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libudev1-257.10-hf9559e3_4.conda
@@ -429,6 +433,7 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-12.9-h4f385c5_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/docutils-0.23-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.3.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-dejavu-sans-mono-2.37-hab24e00_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-inconsolata-3.000-h77eed37_0.tar.bz2
@@ -459,7 +464,8 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.23.0-pyhcf101f3_1.conda
-      - conda_source: cuda-core[491c4fa3] @ .
+      - conda_source: cuda-core[6e9d4edb] @ .
+      - pypi: ../cuda_python_test_helpers
       win-64:
       - conda: https://conda.anaconda.org/conda-forge/noarch/backports.strenum-1.3.1-haf276df_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.2.25-h4c7d964_0.conda
@@ -474,6 +480,7 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-12.9-h4f385c5_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/docutils-0.23-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.3.1-pyhd8ed1ab_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-inconsolata-3.000-h77eed37_0.tar.bz2
@@ -524,7 +531,7 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/win-64/cuda-nvvm-tools-12.9.86-h2466b09_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/cython-3.2.4-py314h344ed54_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/cython-3.2.9-py314h344ed54_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/dav1d-1.2.1-hcfcfb64_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/win-64/fontconfig-2.17.1-hd47e2ca_0.conda
@@ -608,10 +615,13 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/win-64/x265-3.5-h2d74725_3.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-h534d264_6.conda
-      - conda_source: cuda-core[8e8d43e1] @ .
+      - conda_source: cuda-core[18c68942] @ .
+      - pypi: ../cuda_python_test_helpers
   cu13:
     channels:
     - url: https://conda.anaconda.org/conda-forge/
+    indexes:
+    - https://pypi.org/simple
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
@@ -629,7 +639,7 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-profiler-api-13.3.27-h7938cbb_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cython-3.2.4-py314h1807b08_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cython-3.2.8-py314h1807b08_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/dav1d-1.2.1-hd590300_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/ffmpeg-8.0.1-gpl_hcddb375_914.conda
@@ -669,15 +679,15 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/libfreetype6-2.14.2-h73754d4_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-15.2.0-he0feb66_18.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-15.2.0-h69a702a_18.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-16.1.0-ha9f2e26_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-16.1.0-h69a702a_1.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.2.0-he0feb66_18.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-16.1.0-he0feb66_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libhwloc-2.12.2-default_hafda6a7_1000.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.18-h3b78370_2.conda
@@ -712,8 +722,8 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/libsndfile-1.2.2-hc7d488a_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.52.0-hf4e2dac_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-15.2.0-h934c35e_18.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-15.2.0-hdf11a46_18.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-16.1.0-h934c35e_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-16.1.0-hdf11a46_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libsystemd0-257.13-h084b8d7_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.1-h9d88235_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libudev1-257.13-h084b8d7_1.conda
@@ -787,6 +797,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart_linux-64-13.3.29-h376f20c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-nvvm-dev_linux-64-13.3.33-ha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-13.3-hcbadf70_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/docutils-0.23-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.3.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-dejavu-sans-mono-2.37-hab24e00_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-inconsolata-3.000-h77eed37_0.tar.bz2
@@ -817,9 +828,10 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2025c-hc9c84f9_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/wayland-protocols-1.47-hd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.23.0-pyhcf101f3_1.conda
-      - conda_source: cuda-bindings[29afc263] @ ../cuda_bindings
-      - conda_source: cuda-core[496050ab] @ .
-      - conda_source: cuda-pathfinder[83159de6] @ ../cuda_pathfinder
+      - conda_source: cuda-bindings[6c91bfdd] @ ../cuda_bindings
+      - conda_source: cuda-core[adf7f1da] @ .
+      - conda_source: cuda-pathfinder[9139f4b4] @ ../cuda_pathfinder
+      - pypi: ../cuda_python_test_helpers
       linux-aarch64:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/_openmp_mutex-4.5-20_gnu.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/alsa-lib-1.2.15.3-he30d5cf_0.conda
@@ -836,7 +848,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-nvvm-impl-13.3.33-h7b14b0b_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-13.3-hcbadf70_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/docutils-0.23-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.3.1-pyhd8ed1ab_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-inconsolata-3.000-h77eed37_0.tar.bz2
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-      - conda_source: cuda-bindings[b73e05e0] @ ../cuda_bindings
-      - conda_source: cuda-core[b9ba9726] @ .
-      - conda_source: cuda-pathfinder[4dfff30f] @ ../cuda_pathfinder
+      - conda_source: cuda-bindings[3db1bf41] @ ../cuda_bindings
+      - conda_source: cuda-core[7b4f4a3f] @ .
+      - conda_source: cuda-pathfinder[fa19867f] @ ../cuda_pathfinder
+      - pypi: ../cuda_python_test_helpers
       win-64:
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       - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.2.25-h4c7d964_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-13.3-hcbadf70_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/docutils-0.23-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.3.1-pyhd8ed1ab_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-inconsolata-3.000-h77eed37_0.tar.bz2
@@ -1073,7 +1088,7 @@ environments:
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-      - conda: https://conda.anaconda.org/conda-forge/win-64/cython-3.2.4-py314h344ed54_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/win-64/dav1d-1.2.1-hcfcfb64_0.conda
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@@ -1157,12 +1172,15 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-h534d264_6.conda
-      - conda_source: cuda-bindings[1a320ca0] @ ../cuda_bindings
-      - conda_source: cuda-core[f1ea05b3] @ .
-      - conda_source: cuda-pathfinder[169735b8] @ ../cuda_pathfinder
+      - conda_source: cuda-bindings[4664b262] @ ../cuda_bindings
+      - conda_source: cuda-core[2b0a529b] @ .
+      - conda_source: cuda-pathfinder[15190cc4] @ ../cuda_pathfinder
+      - pypi: ../cuda_python_test_helpers
   default:
     channels:
     - url: https://conda.anaconda.org/conda-forge/
+    indexes:
+    - https://pypi.org/simple
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
@@ -1180,7 +1198,7 @@ environments:
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cython-3.2.4-py314h1807b08_0.conda
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@@ -1263,8 +1281,8 @@ environments:
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-15.2.0-hdf11a46_18.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-16.1.0-h934c35e_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-16.1.0-hdf11a46_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libsystemd0-257.13-h084b8d7_1.conda
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@@ -1338,6 +1356,7 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-13.3-hcbadf70_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/docutils-0.23-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.3.1-pyhd8ed1ab_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-inconsolata-3.000-h77eed37_0.tar.bz2
@@ -1368,9 +1387,10 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/noarch/wayland-protocols-1.47-hd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.23.0-pyhcf101f3_1.conda
-      - conda_source: cuda-bindings[29afc263] @ ../cuda_bindings
-      - conda_source: cuda-core[496050ab] @ .
-      - conda_source: cuda-pathfinder[83159de6] @ ../cuda_pathfinder
+      - conda_source: cuda-bindings[6c91bfdd] @ ../cuda_bindings
+      - conda_source: cuda-core[adf7f1da] @ .
+      - conda_source: cuda-pathfinder[9139f4b4] @ ../cuda_pathfinder
+      - pypi: ../cuda_python_test_helpers
       linux-aarch64:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/_openmp_mutex-4.5-20_gnu.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/alsa-lib-1.2.15.3-he30d5cf_0.conda
@@ -1387,7 +1407,7 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-profiler-api-13.3.27-h16bee8c_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cython-3.2.4-py314h4c416a3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cython-3.2.9-py314hc6b4731_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/dav1d-1.2.1-h31becfc_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ffmpeg-8.0.1-gpl_h62efc85_914.conda
@@ -1424,15 +1444,15 @@ environments:
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-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgcc-ng-15.2.0-he9431aa_18.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgcc-16.1.0-h205dda4_1.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgomp-15.2.0-h8acb6b2_18.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgomp-16.1.0-h8acb6b2_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libhwloc-2.12.2-default_ha470c98_1000.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libiconv-1.18-h90929bb_2.conda
@@ -1465,8 +1485,8 @@ environments:
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+  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.1-pyhcf101f3_0.conda
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+  - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.3-pyhcf101f3_0.conda
+  - conda_source: cuda-pathfinder[fa19867f] @ ../cuda_pathfinder
+- conda_source: cuda-bindings[4664b262] @ ../cuda_bindings
   variants:
     c_compiler: vs2022
     cuda_version: 13.3.*
@@ -19409,25 +20657,25 @@ packages:
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   build_packages:
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-  - conda: https://conda.anaconda.org/conda-forge/win-64/vs2022_win-64-19.44.35207-ha74f236_39.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/vs2022_win-64-19.44.35207-ha74f236_41.conda
   host_packages:
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-  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cccl_win-64-13.3.3.4.1-h57928b3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.7.22-h4c7d964_0.conda
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-  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.0-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.1-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.1-pyhcf101f3_0.conda
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-  - conda: https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-h0ad9c76_9.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.3-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-h0ad9c76_10.conda
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@@ -19437,30 +20685,30 @@ packages:
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+  - conda: https://conda.anaconda.org/conda-forge/win-64/cython-3.2.9-py314h344ed54_0.conda
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+  - conda: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.51.36247-habf1de7_41.conda
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-  - conda_source: cuda-pathfinder[169735b8] @ ../cuda_pathfinder
-- conda_source: cuda-bindings[29afc263] @ ../cuda_bindings
+  - conda_source: cuda-pathfinder[15190cc4] @ ../cuda_pathfinder
+- conda_source: cuda-bindings[4e633ee8] @ ../cuda_bindings
   variants:
     c_stdlib: sysroot
     c_stdlib_version: '2.28'
     cuda_version: 13.3.*
     python: 3.14.*
-    target_platform: linux-64
+    target_platform: linux-aarch64
   depends:
   - python
   - python >=3.10
@@ -19483,127 +20731,24 @@ packages:
     cuda-pathfinder:
       path: ../cuda_pathfinder
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-  - conda_source: cuda-pathfinder[83159de6] @ ../cuda_pathfinder
-- conda_source: cuda-bindings[b73e05e0] @ ../cuda_bindings
-  variants:
-    c_stdlib: sysroot
-    c_stdlib_version: '2.28'
-    cuda_version: 13.3.*
-    python: 3.14.*
-    target_platform: linux-aarch64
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-  - python >=3.10
-  - cuda-version
-  - cuda-pathfinder
-  - libnvjitlink
-  - cuda-nvrtc
-  - cuda-nvrtc >=13.3.33,<14.0a0
-  - cuda-nvvm
-  - libnvfatbin
-  - libcufile
-  - libcufile >=1.18.1.6,<2.0a0
-  - libgcc >=15
-  - libgcc >=15
-  - libstdcxx >=15
-  - __glibc >=2.28,<3.0.a0
-  - python_abi 3.14.* *_cp314
-  license: Apache-2.0
-  source_depends:
-    cuda-pathfinder:
-      path: ../cuda_pathfinder
-  build_packages:
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+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/gxx_impl_linux-aarch64-15.2.0-h03e2352_19.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/gxx_linux-aarch64-15.2.0-h7e4acf5_27.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ld_impl_linux-aarch64-2.46.1-default_h1979696_102.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgcc-15.2.0-h8acb6b2_19.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgomp-15.2.0-h8acb6b2_19.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsanitizer-15.2.0-he19c465_19.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libstdcxx-15.2.0-hef695bb_19.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libzlib-1.3.2-hdc9db2a_2.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/zstd-1.5.7-h85ac4a6_6.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/kernel-headers_linux-aarch64-4.18.0-h05a177a_9.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/libgcc-devel_linux-aarch64-15.2.0-h55c397f_119.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/libstdcxx-devel_linux-aarch64-15.2.0-ha7b1723_119.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/sysroot_linux-aarch64-2.28-h585391f_9.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
   host_packages:
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/_openmp_mutex-4.5-20_gnu.conda
@@ -19617,7 +20762,7 @@ packages:
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-nvvm-impl-13.3.73-h7b14b0b_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-nvvm-tools-13.3.73-h7b14b0b_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-profiler-api-13.3.27-h16bee8c_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cython-3.2.8-py314hc6b4731_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cython-3.2.9-py314hc6b4731_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/icu-78.3-hcab7f73_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ld_impl_linux-aarch64-2.46.1-default_h1979696_102.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libcap-2.78-hf9559e3_0.conda
@@ -19661,30 +20806,211 @@ packages:
   - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.16.0-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.2-pyhcf101f3_0.conda
-  - conda_source: cuda-pathfinder[4dfff30f] @ ../cuda_pathfinder
-- conda_source: cuda-core[2472945f] @ .
+  - conda_source: cuda-pathfinder[640a9949] @ ../cuda_pathfinder
+- conda_source: cuda-bindings[6c91bfdd] @ ../cuda_bindings
   variants:
     c_stdlib: sysroot
     c_stdlib_version: '2.28'
-    cuda_version: 12.*
+    cuda_version: 13.3.*
     python: 3.14.*
     target_platform: linux-64
   depends:
   - python
   - python >=3.10
   - cuda-version
-  - numpy
-  - cuda-bindings
   - cuda-pathfinder
-  - backports.strenum
+  - libnvjitlink
+  - cuda-nvrtc
+  - cuda-nvrtc >=13.3.33,<14.0a0
+  - cuda-nvvm
+  - libnvfatbin
+  - libcufile
+  - libcufile >=1.18.1.6,<2.0a0
+  - libgcc >=16
+  - libgcc >=16
+  - libstdcxx >=16
+  - __glibc >=2.28,<3.0.a0
+  - python_abi 3.14.* *_cp314
+  license: Apache-2.0
+  source_depends:
+    cuda-pathfinder:
+      path: ../cuda_pathfinder
+  build_packages:
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/binutils_impl_linux-64-2.46.1-default_hfdba357_102.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/binutils_linux-64-2.46.1-default_h4852527_102.conda
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+  - conda: https://conda.anaconda.org/conda-forge/linux-64/gxx_impl_linux-64-16.1.0-he33a5f8_1.conda
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+  - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
+  host_packages:
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+  - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_10.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-13.3.29-hecca717_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-dev-13.3.29-hecca717_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-static-13.3.29-hecca717_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvrtc-13.3.33-hecca717_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvrtc-dev-13.3.33-hecca717_0.conda
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+  - conda: https://conda.anaconda.org/conda-forge/linux-64/rdma-core-63.0-h192683f_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/readline-8.3-h853b02a_0.conda
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+  - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.7.22-hbd8a1cb_0.conda
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+  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-crt-dev_linux-64-13.3.73-ha770c72_0.conda
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+  - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-26.3-pyhc364b38_0.conda
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+  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-83.0.0-pyh332efcf_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.1-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.1-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.16.0-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.3-pyhcf101f3_0.conda
+  - conda_source: cuda-pathfinder[9139f4b4] @ ../cuda_pathfinder
+- conda_source: cuda-bindings[8b6a309f] @ ../cuda_bindings
+  variants:
+    c_compiler: vs2022
+    cuda_version: 13.3.*
+    cxx_compiler: vs2022
+    python: 3.14.*
+    target_platform: win-64
+  depends:
+  - python
+  - python >=3.10
+  - cuda-version
+  - cuda-pathfinder
+  - libnvjitlink
+  - cuda-nvrtc
+  - cuda-nvrtc >=13.3.33,<14.0a0
+  - cuda-nvvm
+  - libnvfatbin
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
+  - python_abi 3.14.* *_cp314
+  license: Apache-2.0
+  source_depends:
+    cuda-pathfinder:
+      path: ../cuda_pathfinder
+  build_packages:
+  - conda: https://conda.anaconda.org/conda-forge/noarch/vswhere-3.1.7-h40126e0_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/vs2022_win-64-19.44.35207-ha74f236_39.conda
+  host_packages:
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+  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cccl_win-64-13.3.3.4.1-h57928b3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-crt-dev_win-64-13.3.73-h57928b3_0.conda
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+  - conda: https://conda.anaconda.org/conda-forge/win-64/liblzma-5.8.3-hfd05255_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/libmpdec-4.0.0-hfd05255_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.53.3-hf5d6505_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/libzlib-1.3.2-hfd05255_2.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/openssl-3.6.3-hf411b9b_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/python-3.14.6-h4b44e0e_100_cp314.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/tk-8.6.13-h967ab96_3.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/ucrt-10.0.26100.0-h57928b3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/uv-0.11.29-h7ca4a90_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/vc-14.5-h1b7c187_39.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.51.36231-h1b9f54f_39.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/vcomp14-14.51.36231-h1b9f54f_39.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-h534d264_6.conda
+  - conda_source: cuda-pathfinder[bcd0ad48] @ ../cuda_pathfinder
+- conda_source: cuda-bindings[91169b48] @ ../cuda_bindings
+  variants:
+    c_stdlib: sysroot
+    c_stdlib_version: '2.28'
+    cuda_version: 13.3.*
+    python: 3.14.*
+    target_platform: linux-64
+  depends:
+  - python
+  - python >=3.10
+  - cuda-version
+  - cuda-pathfinder
+  - libnvjitlink
+  - cuda-nvrtc
+  - cuda-nvrtc >=13.3.33,<14.0a0
+  - cuda-nvvm
+  - libnvfatbin
+  - libcufile
+  - libcufile >=1.18.1.6,<2.0a0
   - libgcc >=15
   - libgcc >=15
   - libstdcxx >=15
   - __glibc >=2.28,<3.0.a0
   - python_abi 3.14.* *_cp314
-  - cuda-nvrtc >=12.9.86,<13.0a0
-  - cuda-cudart >=12.9.79,<13.0a0
   license: Apache-2.0
+  source_depends:
+    cuda-pathfinder:
+      path: ../cuda_pathfinder
   build_packages:
   - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-64/binutils_impl_linux-64-2.46.1-default_hfdba357_102.conda
@@ -19708,23 +21034,20 @@ packages:
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   - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_9.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-bindings-12.9.7-py314hadd79bd_1.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-crt-tools-12.9.86-ha770c72_2.conda
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-  - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-dev-12.9.79-h5888daf_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-static-12.9.79-h5888daf_0.conda
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-  - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-profiler-api-12.9.79-h7938cbb_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-13.3.29-hecca717_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-dev-13.3.29-hecca717_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-static-13.3.29-hecca717_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvrtc-13.3.33-hecca717_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvrtc-dev-13.3.33-hecca717_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvvm-13.3.73-h69a702a_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvvm-impl-13.3.73-h4bc722e_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvvm-tools-13.3.73-h4bc722e_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-profiler-api-13.3.27-h7938cbb_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-64/cython-3.2.8-py314h1807b08_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-64/dlpack-1.3-hecca717_0.conda
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   - conda: https://conda.anaconda.org/conda-forge/linux-64/libcap-2.78-hd0affe5_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-64/libcufile-1.14.1.1-hbc026e6_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/libcufile-1.18.1.6-h053a66a_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/libcufile-dev-1.18.1.6-h676940d_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.8.1-hecca717_1.conda
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@@ -19732,8 +21055,6 @@ packages:
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   - conda: https://conda.anaconda.org/conda-forge/linux-64/libmpdec-4.0.0-hb03c661_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-64/libnl-3.11.0-hb9d3cd8_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-64/libnvjitlink-12.9.86-hecca717_2.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-64/libnvptxcompiler-dev-12.9.86-ha770c72_2.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.53.3-h0c1763c_0.conda
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   - conda: https://conda.anaconda.org/conda-forge/linux-64/libsystemd0-257.13-h084b8d7_1.conda
@@ -19749,16 +21070,191 @@ packages:
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-  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cccl_linux-64-12.9.27-ha770c72_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-crt-dev_linux-64-12.9.86-ha770c72_2.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-dev_linux-64-12.9.79-h3f2d84a_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-static_linux-64-12.9.79-h3f2d84a_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart_linux-64-12.9.79-h3f2d84a_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-nvcc-dev_linux-64-12.9.86-he91c749_2.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-nvvm-dev_linux-64-12.9.86-ha770c72_2.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cccl_linux-64-13.3.3.4.1-ha770c72_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-crt-dev_linux-64-13.3.73-ha770c72_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-dev_linux-64-13.3.29-h376f20c_0.conda
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+  - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-26.2-pyhc364b38_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.14-8_cp314.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-83.0.0-pyh332efcf_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.0-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.1-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.16.0-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.2-pyhcf101f3_0.conda
+  - conda_source: cuda-pathfinder[3890e449] @ ../cuda_pathfinder
+- conda_source: cuda-core[18c68942] @ .
+  variants:
+    c_compiler: vs2022
+    cuda_version: 12.*
+    cxx_compiler: vs2022
+    python: 3.14.*
+    target_platform: win-64
+  depends:
+  - python
+  - python >=3.10
+  - cuda-version
+  - numpy
+  - cuda-bindings
+  - cuda-pathfinder
+  - backports.strenum
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
+  - python_abi 3.14.* *_cp314
+  - cuda-nvrtc >=12.9.86,<13.0a0
+  - cuda-cudart >=12.9.79,<13.0a0
+  license: Apache-2.0
+  build_packages:
+  - conda: https://conda.anaconda.org/conda-forge/noarch/vswhere-3.1.7-h40126e0_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/vs2022_win-64-19.44.35207-ha74f236_41.conda
+  host_packages:
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+- conda_source: cuda-core[29d2d05a] @ .
+  variants:
+    c_stdlib: sysroot
+    c_stdlib_version: '2.28'
+    cuda_version: 13.3.*
+    python: 3.14.*
+    target_platform: linux-aarch64
+  depends:
+  - python
+  - python >=3.10
+  - cuda-version
+  - numpy
+  - cuda-bindings
+  - cuda-pathfinder
+  - backports.strenum
+  - libgcc >=15
+  - libgcc >=15
+  - libstdcxx >=15
+  - __glibc >=2.28,<3.0.a0
+  - python_abi 3.14.* *_cp314
+  - cuda-nvrtc >=13.3.33,<14.0a0
+  - cuda-cudart >=13.3.29,<14.0a0
+  license: Apache-2.0
+  build_packages:
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+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/binutils_impl_linux-aarch64-2.46.1-default_h5f4c503_102.conda
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+  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-static_linux-aarch64-13.3.29-h8f3c8d4_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart_linux-aarch64-13.3.29-h8f3c8d4_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-pathfinder-1.5.6-pyhc364b38_0.conda
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-  - conda: https://conda.anaconda.org/conda-forge/noarch/libnvptxcompiler-dev_linux-64-12.9.86-ha770c72_2.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-13.3-hcbadf70_3.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-26.2-pyhc364b38_0.conda
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   - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-83.0.0-pyh332efcf_0.conda
@@ -19767,7 +21263,72 @@ packages:
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   - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.2-pyhcf101f3_0.conda
-- conda_source: cuda-core[491c4fa3] @ .
+- conda_source: cuda-core[2b0a529b] @ .
+  variants:
+    c_compiler: vs2022
+    cuda_version: 13.3.*
+    cxx_compiler: vs2022
+    python: 3.14.*
+    target_platform: win-64
+  depends:
+  - python
+  - python >=3.10
+  - cuda-version
+  - numpy
+  - cuda-bindings
+  - cuda-pathfinder
+  - backports.strenum
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
+  - cuda-nvrtc >=13.3.33,<14.0a0
+  - python_abi 3.14.* *_cp314
+  license: Apache-2.0
+  build_packages:
+  - conda: https://conda.anaconda.org/conda-forge/noarch/vswhere-3.1.7-h40126e0_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/vs2022_win-64-19.44.35207-ha74f236_41.conda
+  host_packages:
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+  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cccl_win-64-13.3.3.4.1-h57928b3_1.conda
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+  - conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-h534d264_6.conda
+- conda_source: cuda-core[6e9d4edb] @ .
   variants:
     c_stdlib: sysroot
     c_stdlib_version: '2.28'
@@ -19782,9 +21343,9 @@ packages:
   - cuda-bindings
   - cuda-pathfinder
   - backports.strenum
-  - libgcc >=15
-  - libgcc >=15
-  - libstdcxx >=15
+  - libgcc >=16
+  - libgcc >=16
+  - libstdcxx >=16
   - __glibc >=2.28,<3.0.a0
   - python_abi 3.14.* *_cp314
   - cuda-nvrtc >=12.9.86,<13.0a0
@@ -19794,25 +21355,25 @@ packages:
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/_openmp_mutex-4.5-20_gnu.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/binutils_impl_linux-aarch64-2.46.1-default_h5f4c503_102.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/binutils_linux-aarch64-2.46.1-default_hf1166c9_102.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/gcc_impl_linux-aarch64-15.2.0-h3530432_19.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/gcc_linux-aarch64-15.2.0-h0bf4bd8_27.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/gxx_impl_linux-aarch64-15.2.0-h03e2352_19.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/gxx_linux-aarch64-15.2.0-h7e4acf5_27.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/gcc_impl_linux-aarch64-16.1.0-h04da0f0_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/gcc_linux-aarch64-16.1.0-hed00b63_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/gxx_impl_linux-aarch64-16.1.0-hd5c6868_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/gxx_linux-aarch64-16.1.0-h4223dcb_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ld_impl_linux-aarch64-2.46.1-default_h1979696_102.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgcc-15.2.0-h8acb6b2_19.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgomp-15.2.0-h8acb6b2_19.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsanitizer-15.2.0-he19c465_19.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libstdcxx-15.2.0-hef695bb_19.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libzlib-1.3.2-hdc9db2a_2.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgcc-16.1.0-h205dda4_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgomp-16.1.0-h8acb6b2_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsanitizer-16.1.0-h2510bd8_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libstdcxx-16.1.0-hef695bb_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libzlib-1.3.2-hdc9db2a_3.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/zstd-1.5.7-h85ac4a6_6.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/kernel-headers_linux-aarch64-4.18.0-h05a177a_9.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/libgcc-devel_linux-aarch64-15.2.0-h55c397f_119.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/libstdcxx-devel_linux-aarch64-15.2.0-ha7b1723_119.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/libgcc-devel_linux-aarch64-16.1.0-hd673532_101.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/libstdcxx-devel_linux-aarch64-16.1.0-h2445e1f_101.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/sysroot_linux-aarch64-2.28-h585391f_9.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
   host_packages:
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/_openmp_mutex-4.5-20_gnu.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/bzip2-1.0.8-h4777abc_9.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/bzip2-1.0.8-h4777abc_10.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-bindings-12.9.7-py314hd8c1704_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-crt-tools-12.9.86-h579c4fd_2.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-cudart-12.9.79-h3ae8b8a_0.conda
@@ -19825,37 +21386,36 @@ packages:
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-nvvm-impl-12.9.86-h7b14b0b_2.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-nvvm-tools-12.9.86-h7b14b0b_2.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-profiler-api-12.9.79-h16bee8c_1.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cython-3.2.8-py314hc6b4731_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cython-3.2.9-py314hc6b4731_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/dlpack-1.3-hfae3067_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/icu-78.3-hcab7f73_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ld_impl_linux-aarch64-2.46.1-default_h1979696_102.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libcap-2.78-hf9559e3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libcap-2.78-hfcc8634_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libcufile-1.14.1.1-had8bf56_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libexpat-2.8.1-hfae3067_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libffi-3.5.2-h376a255_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgcc-15.2.0-h8acb6b2_19.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgomp-15.2.0-h8acb6b2_19.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgcc-16.1.0-h205dda4_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgomp-16.1.0-h8acb6b2_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/liblzma-5.8.3-he30d5cf_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libmpdec-4.0.0-he30d5cf_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libnl-3.11.0-h86ecc28_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libnvjitlink-12.9.86-h8f3c8d4_2.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libnvptxcompiler-dev-12.9.86-h579c4fd_2.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsqlite-3.53.3-h10b116e_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libstdcxx-15.2.0-hef695bb_19.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsqlite-3.53.4-h022381a_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libstdcxx-16.1.0-hef695bb_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsystemd0-257.13-hfcc8634_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libudev1-257.13-hfcc8634_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libuuid-2.42.2-h1022ec0_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libzlib-1.3.2-hdc9db2a_2.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libzlib-1.3.2-hdc9db2a_3.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ncurses-6.6-hf8d1292_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/openssl-3.6.3-h546c87b_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/python-3.14.6-hc679e19_100_cp314.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/openssl-3.6.3-h546c87b_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/python-3.14.6-hc679e19_101_cp314.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/rdma-core-63.0-h1f0f388_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/readline-8.3-hb682ff5_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/tk-8.6.13-noxft_h5cf4473_3.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/uv-0.11.29-hbe9c82f_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/uv-0.12.2-hbe9c82f_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/zstd-1.5.7-h85ac4a6_6.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/arm-variant-1.2.0-sbsa.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.6.17-hbd8a1cb_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.7.22-hbd8a1cb_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cccl_linux-aarch64-12.9.27-h579c4fd_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-crt-dev_linux-aarch64-12.9.86-h579c4fd_2.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-dev_linux-aarch64-12.9.79-h3ae8b8a_0.conda
@@ -19863,18 +21423,118 @@ packages:
   - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart_linux-aarch64-12.9.79-h3ae8b8a_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-nvcc-dev_linux-aarch64-12.9.86-h4310d6a_2.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-nvvm-dev_linux-aarch64-12.9.86-h579c4fd_2.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-pathfinder-1.5.6-pyhc364b38_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-pathfinder-1.6.0-pyhc364b38_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-12.9-h4f385c5_3.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/libnvptxcompiler-dev_linux-aarch64-12.9.86-h579c4fd_2.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-26.2-pyhc364b38_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-26.3-pyhc364b38_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.14-8_cp314.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-83.0.0-pyh332efcf_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.0-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.1-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.1-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.16.0-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.2-pyhcf101f3_0.conda
-- conda_source: cuda-core[496050ab] @ .
+  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.3-pyhcf101f3_0.conda
+- conda_source: cuda-core[7b4f4a3f] @ .
+  variants:
+    c_stdlib: sysroot
+    c_stdlib_version: '2.28'
+    cuda_version: 13.3.*
+    python: 3.14.*
+    target_platform: linux-aarch64
+  depends:
+  - python
+  - python >=3.10
+  - cuda-version
+  - numpy
+  - cuda-bindings
+  - cuda-pathfinder
+  - backports.strenum
+  - libgcc >=16
+  - libgcc >=16
+  - libstdcxx >=16
+  - __glibc >=2.28,<3.0.a0
+  - cuda-cudart >=13.3.29,<14.0a0
+  - cuda-nvrtc >=13.3.33,<14.0a0
+  - python_abi 3.14.* *_cp314
+  license: Apache-2.0
+  build_packages:
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/_openmp_mutex-4.5-20_gnu.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/binutils_impl_linux-aarch64-2.46.1-default_h5f4c503_102.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/binutils_linux-aarch64-2.46.1-default_hf1166c9_102.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/gcc_impl_linux-aarch64-16.1.0-h04da0f0_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/gcc_linux-aarch64-16.1.0-hed00b63_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/gxx_impl_linux-aarch64-16.1.0-hd5c6868_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/gxx_linux-aarch64-16.1.0-h4223dcb_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ld_impl_linux-aarch64-2.46.1-default_h1979696_102.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgcc-16.1.0-h205dda4_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgomp-16.1.0-h8acb6b2_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsanitizer-16.1.0-h2510bd8_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libstdcxx-16.1.0-hef695bb_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libzlib-1.3.2-hdc9db2a_3.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/zstd-1.5.7-h85ac4a6_6.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/kernel-headers_linux-aarch64-4.18.0-h05a177a_9.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/libgcc-devel_linux-aarch64-16.1.0-hd673532_101.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/libstdcxx-devel_linux-aarch64-16.1.0-h2445e1f_101.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/sysroot_linux-aarch64-2.28-h585391f_9.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
+  host_packages:
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/_openmp_mutex-4.5-20_gnu.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/bzip2-1.0.8-h4777abc_10.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-bindings-13.3.1-py314he6363bd_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-cudart-13.3.29-h8f3c8d4_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-cudart-dev-13.3.29-h8f3c8d4_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-cudart-static-13.3.29-h8f3c8d4_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-nvrtc-13.3.33-h8f3c8d4_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-nvrtc-dev-13.3.33-h8f3c8d4_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-nvvm-impl-13.3.73-h7b14b0b_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cuda-profiler-api-13.3.27-h16bee8c_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cython-3.2.9-py314hc6b4731_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/dlpack-1.3-hfae3067_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ld_impl_linux-aarch64-2.46.1-default_h1979696_102.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libcap-2.78-hfcc8634_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libcudla-13.3.29-hfae3067_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libcufile-1.18.1.6-h42688b2_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libexpat-2.8.1-hfae3067_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libffi-3.5.2-h376a255_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgcc-16.1.0-h205dda4_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgomp-16.1.0-h8acb6b2_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/liblzma-5.8.3-he30d5cf_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libmpdec-4.0.0-he30d5cf_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libnl-3.11.0-h86ecc28_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libnvfatbin-13.3.29-h8f3c8d4_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libnvjitlink-13.3.33-h8f3c8d4_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsqlite-3.53.4-h022381a_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libstdcxx-16.1.0-hef695bb_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsystemd0-257.13-hfcc8634_1.conda
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+  - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.14-8_cp314.conda
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+  - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.1-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.16.0-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.3-pyhcf101f3_0.conda
+- conda_source: cuda-core[83c371ca] @ .
   variants:
     c_stdlib: sysroot
     c_stdlib_version: '2.28'
@@ -19893,9 +21553,9 @@ packages:
   - libgcc >=15
   - libstdcxx >=15
   - __glibc >=2.28,<3.0.a0
-  - cuda-cudart >=13.3.29,<14.0a0
-  - cuda-nvrtc >=13.3.33,<14.0a0
   - python_abi 3.14.* *_cp314
+  - cuda-nvrtc >=13.3.33,<14.0a0
+  - cuda-cudart >=13.3.29,<14.0a0
   license: Apache-2.0
   build_packages:
   - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
@@ -19972,13 +21632,13 @@ packages:
   - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.16.0-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.2-pyhcf101f3_0.conda
-- conda_source: cuda-core[8e8d43e1] @ .
+- conda_source: cuda-core[adf7f1da] @ .
   variants:
-    c_compiler: vs2022
-    cuda_version: 12.*
-    cxx_compiler: vs2022
+    c_stdlib: sysroot
+    c_stdlib_version: '2.28'
+    cuda_version: 13.3.*
     python: 3.14.*
-    target_platform: win-64
+    target_platform: linux-64
   depends:
   - python
   - python >=3.10
@@ -19987,74 +21647,97 @@ packages:
   - cuda-bindings
   - cuda-pathfinder
   - backports.strenum
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
-  - ucrt >=10.0.20348.0
+  - libgcc >=16
+  - libgcc >=16
+  - libstdcxx >=16
+  - __glibc >=2.28,<3.0.a0
+  - cuda-cudart >=13.3.29,<14.0a0
+  - cuda-nvrtc >=13.3.33,<14.0a0
   - python_abi 3.14.* *_cp314
-  - cuda-nvrtc >=12.9.86,<13.0a0
-  - cuda-cudart >=12.9.79,<13.0a0
   license: Apache-2.0
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-  - conda: https://conda.anaconda.org/conda-forge/win-64/vs2022_win-64-19.44.35207-ha74f236_39.conda
-  host_packages:
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-- conda_source: cuda-core[b9ba9726] @ .
+  host_packages:
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+  - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.14-8_cp314.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-83.0.0-pyh332efcf_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.1-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.1-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.16.0-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.3-pyhcf101f3_0.conda
+- conda_source: cuda-core[e53261c5] @ .
   variants:
     c_stdlib: sysroot
     c_stdlib_version: '2.28'
-    cuda_version: 13.3.*
+    cuda_version: 12.*
     python: 3.14.*
-    target_platform: linux-aarch64
+    target_platform: linux-64
   depends:
   - python
   - python >=3.10
@@ -20063,93 +21746,98 @@ packages:
   - cuda-bindings
   - cuda-pathfinder
   - backports.strenum
-  - libgcc >=15
-  - libgcc >=15
-  - libstdcxx >=15
+  - libgcc >=16
+  - libgcc >=16
+  - libstdcxx >=16
   - __glibc >=2.28,<3.0.a0
-  - cuda-cudart >=13.3.29,<14.0a0
-  - cuda-nvrtc >=13.3.33,<14.0a0
   - python_abi 3.14.* *_cp314
+  - cuda-nvrtc >=12.9.86,<13.0a0
+  - cuda-cudart >=12.9.79,<13.0a0
   license: Apache-2.0
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-  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.0-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.1-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.1-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.16.0-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.2-pyhcf101f3_0.conda
-- conda_source: cuda-core[f1ea05b3] @ .
+  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.3-pyhcf101f3_0.conda
+- conda_source: cuda-core[e56c61a7] @ .
   variants:
     c_compiler: vs2022
     cuda_version: 13.3.*
@@ -20167,8 +21855,8 @@ packages:
   - vc >=14.3,<15
   - vc14_runtime >=14.44.35208
   - ucrt >=10.0.20348.0
-  - cuda-nvrtc >=13.3.33,<14.0a0
   - python_abi 3.14.* *_cp314
+  - cuda-nvrtc >=13.3.33,<14.0a0
   license: Apache-2.0
   build_packages:
   - conda: https://conda.anaconda.org/conda-forge/noarch/vswhere-3.1.7-h40126e0_1.conda
@@ -20195,7 +21883,7 @@ packages:
   - conda: https://conda.anaconda.org/conda-forge/win-64/cuda-nvrtc-13.3.33-hac47afa_0.conda
   - conda: https://conda.anaconda.org/conda-forge/win-64/cuda-nvrtc-dev-13.3.33-hac47afa_0.conda
   - conda: https://conda.anaconda.org/conda-forge/win-64/cuda-nvvm-impl-13.3.73-h2466b09_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/cython-3.2.8-py314h344ed54_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/cython-3.2.9-py314h344ed54_0.conda
   - conda: https://conda.anaconda.org/conda-forge/win-64/dlpack-1.3-hac47afa_0.conda
   - conda: https://conda.anaconda.org/conda-forge/win-64/libexpat-2.8.1-hac47afa_1.conda
   - conda: https://conda.anaconda.org/conda-forge/win-64/libffi-3.5.2-h3d046cb_0.conda
@@ -20214,7 +21902,7 @@ packages:
   - conda: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.51.36231-h1b9f54f_39.conda
   - conda: https://conda.anaconda.org/conda-forge/win-64/vcomp14-14.51.36231-h1b9f54f_39.conda
   - conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-h534d264_6.conda
-- conda_source: cuda-pathfinder[169735b8] @ ../cuda_pathfinder
+- conda_source: cuda-pathfinder[15190cc4] @ ../cuda_pathfinder
   variants:
     target_platform: noarch
   depends:
@@ -20222,32 +21910,69 @@ packages:
   - python *
   license: Apache-2.0
   host_packages:
-  - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.6.17-h4c7d964_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-26.2-pyhc364b38_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.7.22-h4c7d964_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-26.3-pyhc364b38_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.14-8_cp314.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-83.0.0-pyh332efcf_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.0-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.1-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.1-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.16.0-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.2-pyhcf101f3_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-h0ad9c76_9.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.3-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-h0ad9c76_10.conda
   - conda: https://conda.anaconda.org/conda-forge/win-64/libexpat-2.8.1-hac47afa_1.conda
   - conda: https://conda.anaconda.org/conda-forge/win-64/libffi-3.5.2-h3d046cb_0.conda
   - conda: https://conda.anaconda.org/conda-forge/win-64/liblzma-5.8.3-hfd05255_0.conda
   - conda: https://conda.anaconda.org/conda-forge/win-64/libmpdec-4.0.0-hfd05255_1.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.53.3-hf5d6505_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/libzlib-1.3.2-hfd05255_2.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/openssl-3.6.3-hf411b9b_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/python-3.14.6-h4b44e0e_100_cp314.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.53.4-hf5d6505_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/libzlib-1.3.2-hfd05255_3.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/openssl-3.6.3-hf411b9b_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/python-3.14.6-h4b44e0e_101_cp314.conda
   - conda: https://conda.anaconda.org/conda-forge/win-64/tk-8.6.13-h967ab96_3.conda
   - conda: https://conda.anaconda.org/conda-forge/win-64/ucrt-10.0.26100.0-h57928b3_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/uv-0.11.29-h7ca4a90_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/vc-14.5-h1b7c187_39.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.51.36231-h1b9f54f_39.conda
-  - conda: https://conda.anaconda.org/conda-forge/win-64/vcomp14-14.51.36231-h1b9f54f_39.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/uv-0.12.2-h7ca4a90_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/vc-14.5-ha367084_41.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.51.36247-habf1de7_41.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/vcomp14-14.51.36247-habf1de7_41.conda
   - conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-h534d264_6.conda
-- conda_source: cuda-pathfinder[4dfff30f] @ ../cuda_pathfinder
+- conda_source: cuda-pathfinder[3890e449] @ ../cuda_pathfinder
+  variants:
+    target_platform: noarch
+  depends:
+  - python >=3.10
+  - python *
+  license: Apache-2.0
+  host_packages:
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_9.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.46.1-default_hbd61a6d_102.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.8.1-hecca717_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/libffi-3.5.2-h3435931_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-15.2.0-he0feb66_19.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.2.0-he0feb66_19.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.3-hb03c661_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/libmpdec-4.0.0-hb03c661_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.53.3-h0c1763c_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-15.2.0-h934c35e_19.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.42.2-h5347b49_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.2-h25fd6f3_2.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.6-hdb14827_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.6.3-h35e630c_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.14.6-habeac84_100_cp314.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/readline-8.3-h853b02a_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_hd70dff1_3.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/uv-0.11.29-h2112641_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb78ec9c_6.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.6.17-hbd8a1cb_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-26.2-pyhc364b38_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.14-8_cp314.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-83.0.0-pyh332efcf_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.0-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.1-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.16.0-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.2-pyhcf101f3_0.conda
+- conda_source: cuda-pathfinder[640a9949] @ ../cuda_pathfinder
   variants:
     target_platform: noarch
   depends:
@@ -20285,7 +22010,7 @@ packages:
   - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.16.0-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.2-pyhcf101f3_0.conda
-- conda_source: cuda-pathfinder[83159de6] @ ../cuda_pathfinder
+- conda_source: cuda-pathfinder[9139f4b4] @ ../cuda_pathfinder
   variants:
     target_platform: noarch
   depends:
@@ -20294,26 +22019,44 @@ packages:
   license: Apache-2.0
   host_packages:
   - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_9.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_10.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/icu-78.3-h54a6638_2.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.46.1-default_hbd61a6d_102.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.8.1-hecca717_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-64/libffi-3.5.2-h3435931_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-15.2.0-he0feb66_19.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.2.0-he0feb66_19.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-16.1.0-ha9f2e26_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-16.1.0-he0feb66_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.3-hb03c661_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-64/libmpdec-4.0.0-hb03c661_1.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.53.3-h0c1763c_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-15.2.0-h934c35e_19.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.53.4-hf4e2dac_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-16.1.0-h934c35e_1.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.42.2-h5347b49_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.2-h25fd6f3_2.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.2-h25fd6f3_3.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.6-hdb14827_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.6.3-h35e630c_0.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.14.6-habeac84_100_cp314.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.6.3-h35e630c_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.14.6-habeac84_101_cp314.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-64/readline-8.3-h853b02a_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_hd70dff1_3.conda
-  - conda: https://conda.anaconda.org/conda-forge/linux-64/uv-0.11.29-h2112641_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-64/uv-0.12.2-h2112641_0.conda
   - conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb78ec9c_6.conda
-  - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.6.17-hbd8a1cb_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.7.22-hbd8a1cb_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-26.3-pyhc364b38_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.14-8_cp314.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-83.0.0-pyh332efcf_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.1-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.1-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.16.0-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.3-pyhcf101f3_0.conda
+- conda_source: cuda-pathfinder[bcd0ad48] @ ../cuda_pathfinder
+  variants:
+    target_platform: noarch
+  depends:
+  - python >=3.10
+  - python *
+  license: Apache-2.0
+  host_packages:
+  - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.6.17-h4c7d964_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-26.2-pyhc364b38_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.14-8_cp314.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-83.0.0-pyh332efcf_0.conda
@@ -20322,6 +22065,62 @@ packages:
   - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.16.0-pyhcf101f3_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
   - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.2-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-h0ad9c76_9.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/libexpat-2.8.1-hac47afa_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/libffi-3.5.2-h3d046cb_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/liblzma-5.8.3-hfd05255_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/libmpdec-4.0.0-hfd05255_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.53.3-hf5d6505_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/libzlib-1.3.2-hfd05255_2.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/openssl-3.6.3-hf411b9b_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/python-3.14.6-h4b44e0e_100_cp314.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/tk-8.6.13-h967ab96_3.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/ucrt-10.0.26100.0-h57928b3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/uv-0.11.29-h7ca4a90_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/vc-14.5-h1b7c187_39.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.51.36231-h1b9f54f_39.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/vcomp14-14.51.36231-h1b9f54f_39.conda
+  - conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-h534d264_6.conda
+- conda_source: cuda-pathfinder[fa19867f] @ ../cuda_pathfinder
+  variants:
+    target_platform: noarch
+  depends:
+  - python >=3.10
+  - python *
+  license: Apache-2.0
+  host_packages:
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/_openmp_mutex-4.5-20_gnu.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/bzip2-1.0.8-h4777abc_10.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ld_impl_linux-aarch64-2.46.1-default_h1979696_102.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libexpat-2.8.1-hfae3067_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libffi-3.5.2-h376a255_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgcc-16.1.0-h205dda4_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgomp-16.1.0-h8acb6b2_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/liblzma-5.8.3-he30d5cf_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libmpdec-4.0.0-he30d5cf_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsqlite-3.53.4-h022381a_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libstdcxx-16.1.0-hef695bb_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libuuid-2.42.2-h1022ec0_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libzlib-1.3.2-hdc9db2a_3.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ncurses-6.6-hf8d1292_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/openssl-3.6.3-h546c87b_1.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/python-3.14.6-hc679e19_101_cp314.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/readline-8.3-hb682ff5_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/tk-8.6.13-noxft_h5cf4473_3.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/uv-0.12.2-hbe9c82f_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/zstd-1.5.7-h85ac4a6_6.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.7.22-hbd8a1cb_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-26.3-pyhc364b38_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.14-8_cp314.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-83.0.0-pyh332efcf_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-10.2.1-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.1-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.16.0-pyhcf101f3_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
+  - conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.3-pyhcf101f3_0.conda
+- pypi: ../cuda_python_test_helpers
+  name: cuda-python-test-helpers
+  requires_python: '>=3.10'
 - pypi: https://files.pythonhosted.org/packages/01/8a/f767031dcd0d24c2bbab4b696dbcf004da4f3284e5e4649fc47bc0e2bb78/nvidia_nvvm-13.3.33-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl
   name: nvidia-nvvm
   version: 13.3.33
diff --git a/cuda_core/pixi.toml b/cuda_core/pixi.toml
index 8772ed4e88b..b2c6a3389c3 100644
--- a/cuda_core/pixi.toml
+++ b/cuda_core/pixi.toml
@@ -21,9 +21,13 @@ pytest-randomly = "*"
 pytest-repeat = "*"
 pytest-rerunfailures = "*"
 cloudpickle = "*"
+docutils = "*"
 psutil = "*"
 pyglet = "*"
 
+[feature.test.pypi-dependencies]
+cuda-python-test-helpers = { path = "../cuda_python_test_helpers", editable = true }
+
 [feature.examples.dependencies]
 cuda-core = { path = "." }
 cffi = "*"
@@ -52,7 +56,7 @@ CUDA_HOME = "$CONDA_PREFIX/targets/sbsa-linux"
 CUDA_HOME = "$CONDA_PREFIX/Library"
 
 [feature.cython-tests.dependencies]
-cython = ">=3.2,<3.3" # for tests that exercise APIs from cython
+cython = ">=3.2.5,<3.3" # for tests that exercise APIs from cython
 setuptools = "*"      # for distutils
 gxx = "*"             # to compile the generated code
 # These are necessary because running the Cython tests requires compiling
@@ -93,7 +97,7 @@ cuda-version = "12.*"
 
 [feature.docs.dependencies]
 cuda-core = { path = "." }
-cython = "*"
+cython = ">=3.2.5,<3.3"
 myst-parser = "*"
 numpy = "*"
 numpydoc = "*"
@@ -210,7 +214,7 @@ python = "*"
 cuda-version = "*"
 setuptools = ">=80"
 setuptools-scm = ">=8"
-cython = ">=3.2,<3.3"
+cython = ">=3.2.5,<3.3"
 cuda-nvrtc-dev = "*"
 cuda-bindings = "*"
 dlpack = "*"
diff --git a/cuda_core/pyproject.toml b/cuda_core/pyproject.toml
index f3a0c3a70f9..f3afa29241d 100644
--- a/cuda_core/pyproject.toml
+++ b/cuda_core/pyproject.toml
@@ -6,7 +6,7 @@
 requires = [
     "setuptools>=80",
     "setuptools-scm[simple]>=8,!=10.1",
-    "Cython>=3.2,<3.3",
+    "Cython>=3.2.5,<3.3",
     "cuda-pathfinder>=1.5"
 ]
 build-backend = "build_hooks"
@@ -59,7 +59,7 @@ cu13 = ["cuda-bindings[all]==13.*", "cuda-toolkit==13.*"]
 
 [dependency-groups]
 test = [
-    "cython>=3.2,<3.3",
+    "cython>=3.2.5,<3.3",
     "setuptools>=80",
     "pytest==9.1.0",
     "pytest-benchmark==5.2.3",
@@ -69,10 +69,12 @@ test = [
     "pytest-timeout==2.4.0",
     "cloudpickle==3.1.2",
     "psutil==7.2.2",
+    "docutils==0.23",
     # TODO: remove the Python 3.15 guard once 3.15 is officially supported
     "cffi==2.0.0; python_version < '3.15'",
 ]
-ml-dtypes = ["ml-dtypes>=0.5.4,<0.6.0"]
+# TODO: drop the Windows 3.15 guard once ml-dtypes publishes cp315 Windows wheels
+ml-dtypes = ["ml-dtypes>=0.5.4,<0.6.0; sys_platform != 'win32' or python_version < '3.15'"]
 test-cu12 = [ {include-group = "ml-dtypes" }, {include-group = "test" }, "cupy-cuda12x; python_version < '3.14'", "cuda-toolkit[cudart]==12.*"]  # runtime headers needed by CuPy
 test-cu13 = [ {include-group = "ml-dtypes" }, {include-group = "test" }, "cupy-cuda13x; python_version < '3.14'", "cuda-toolkit[cudart]==13.*"]  # runtime headers needed by CuPy
 # free threaded build, cupy doesn't support free-threaded builds yet, so avoid installing it for now
diff --git a/cuda_core/pytest.ini b/cuda_core/pytest.ini
index c3d243387fe..64fcf312a79 100644
--- a/cuda_core/pytest.ini
+++ b/cuda_core/pytest.ini
@@ -1,9 +1,9 @@
-# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 #
 # SPDX-License-Identifier: Apache-2.0
 
 [pytest]
-addopts = --showlocals
+addopts = --showlocals --durations=20
 norecursedirs = cython
 markers =
     # Keep this authorship marker registry in sync across all pytest config roots.
@@ -11,3 +11,5 @@ markers =
     agent_authored(model): agent-authored test not yet materially human-reviewed
     human_reviewed: agent-authored test materially reviewed or rewritten by a human
     human_authored: test authored primarily by a human
+    thread_unsafe(reason): test is not safe to run concurrently with other tests (e.g. uses mocks, patches globals, or mutates shared CUDA state)
+    parallel_threads_limit(n): cap the number of parallel threads pytest-run-parallel uses for this test or module
diff --git a/cuda_core/tests/AGENTS.md b/cuda_core/tests/AGENTS.md
new file mode 100644
index 00000000000..39472d745b5
--- /dev/null
+++ b/cuda_core/tests/AGENTS.md
@@ -0,0 +1,67 @@
+# cuda.core test suite
+
+Package-wide conventions live in `../AGENTS.md`; repository-wide ones in
+`../../AGENTS.md`. This file covers conventions specific to the tests.
+
+## Never create an uncapped memory pool
+
+A memory pool created without `max_size` reserves virtual address space similar
+in size to the installed physical device memory regardless of what the test
+actually allocates. The reservation is charged to the process address space
+even though it is not backed by physical memory, and it is not returned until
+the pool is destroyed *and* the stream-ordered frees of its outstanding
+allocations retire. The whole suite shares one process and one device, so these
+reservations accumulate across tests.
+
+When a test needs its own pool, use the suite-wide cap from
+`helpers/constants.py`:
+
+```python
+from helpers.constants import POOL_SIZE
+
+mr = DeviceMemoryResource(dev, DeviceMemoryResourceOptions(max_size=POOL_SIZE))
+```
+
+Use a larger value only if a test genuinely requires it, and prefer adding a
+shared constant to `helpers/constants.py` over redefining one per module.
+
+### Passing no options is different from passing empty options
+
+`DeviceMemoryResource(dev)` with no options does **not** create a pool. It
+wraps the device's existing default mempool (`_mempool_owned` is false) and
+costs no additional address space. Passing *any* options object creates a new
+owned pool, and a new pool without `max_size` is uncapped:
+
+```python
+DeviceMemoryResource(dev)  # wraps default pool, free
+DeviceMemoryResource(dev, DeviceMemoryResourceOptions())  # NEW uncapped pool, expensive
+DeviceMemoryResource(dev, {"ipc_enabled": True})  # NEW uncapped pool, expensive
+```
+
+Do not add `max_size` to a call that currently passes no options: that
+converts a free default-pool wrapper into a new pool and makes things worse.
+
+### Managed pools are exempt
+
+`cuMemPoolCreate` requires `CUmemPoolProps.maxSize` to be zero for managed
+pools, so `ManagedMemoryResourceOptions` has no `max_size` option. Managed
+pools cannot be right-sized and are not checked.
+
+### Document exemptions
+
+When a call is deliberately exempt -- most often because it sits inside
+`pytest.raises` and no pool is ever created -- annotate it:
+
+```python
+with pytest.raises(RuntimeError, match="IPC is not available"):
+    # uncapped-pool-ok: raises before the pool is created
+    DeviceMemoryResource(mempool_device, DeviceMemoryResourceOptions(ipc_enabled=True))
+```
+
+## Release resources at test boundaries
+
+The `_init_cuda_context` fixture in `conftest.py` runs `gc.collect()` followed
+by `cuCtxSynchronize()` before popping the context. Tests should not rely on
+that as a substitute for cleaning up explicitly: prefer context managers for
+resources whose lifetime fits a single scope, and keep pool lifetimes inside
+the test that creates them.
diff --git a/cuda_core/tests/conftest.py b/cuda_core/tests/conftest.py
index ca3782c67f2..dfe97b265eb 100644
--- a/cuda_core/tests/conftest.py
+++ b/cuda_core/tests/conftest.py
@@ -2,15 +2,37 @@
 # SPDX-License-Identifier: Apache-2.0
 
 import functools
+import gc
+import importlib
 import multiprocessing
 import os
 import pathlib
 import sys
 from contextlib import contextmanager
-from importlib.metadata import PackageNotFoundError, distribution
 
 import pytest
 
+# Keep in sync with cuda_bindings/tests/conftest.py.
+try:
+    import cuda_python_test_helpers._pytest_plugin  # noqa: F401
+except ImportError as e:
+    # Don't call .resolve(): resolving symlinks can make parents[2] point
+    # somewhere other than the monorepo root if a sub-directory is symlinked.
+    _test_helpers_root = pathlib.Path(__file__).parents[2] / "cuda_python_test_helpers"
+    if not _test_helpers_root.is_dir():
+        raise RuntimeError(f"cuda-python-test-helpers not installed and not found at {_test_helpers_root}") from e
+    for _k in list(sys.modules):
+        if _k == "cuda_python_test_helpers" or _k.startswith("cuda_python_test_helpers."):
+            del sys.modules[_k]
+    sys.path.insert(0, str(_test_helpers_root))
+    importlib.invalidate_caches()
+
+pytest_plugins = ["cuda_python_test_helpers._pytest_plugin"]
+
+from cuda_python_test_helpers.marks import skipif_need_cuda_headers  # noqa: F401 (re-exported for tests)
+from cuda_python_test_helpers.mempool import xfail_if_mempool_oom
+from helpers.constants import POOL_SIZE
+
 import cuda.core
 from cuda.bindings import driver
 from cuda.core import (
@@ -24,72 +46,6 @@
     _device,
 )
 from cuda.core._utils.cuda_utils import CUDAError, handle_return
-from cuda.pathfinder import get_cuda_path_or_home
-
-try:
-    from cuda.bindings._test_helpers.mempool import xfail_if_mempool_oom
-except ModuleNotFoundError:
-    # Older cuda.bindings artifacts (for example 12.9.x backports) do not ship
-    # this helper yet. Keep the fallback local so tests against published
-    # bindings still xfail the known Windows MCDM mempool setup issue.
-    #
-    # Keep in sync with cuda_bindings/cuda/bindings/_test_helpers/mempool.py.
-    # This copy is intentionally simpler because it only handles cuda_core
-    # CUDAError exceptions when the shared helper is absent.
-    def _is_windows_mcdm_device(device=0):
-        if sys.platform != "win32":
-            return False
-        import cuda.bindings.nvml as nvml
-
-        device_id = int(getattr(device, "device_id", device))
-        (err,) = driver.cuInit(0)
-        if err != driver.CUresult.CUDA_SUCCESS:
-            return False
-        err, pci_bus_id = driver.cuDeviceGetPCIBusId(13, device_id)
-        if err != driver.CUresult.CUDA_SUCCESS:
-            return False
-        pci_bus_id = pci_bus_id.split(b"\x00", 1)[0].decode("ascii")
-        nvml.init_v2()
-        try:
-            handle = nvml.device_get_handle_by_pci_bus_id_v2(pci_bus_id)
-            current, _ = nvml.device_get_driver_model_v2(handle)
-            return current == nvml.DriverModel.DRIVER_MCDM
-        finally:
-            nvml.shutdown()
-
-    def xfail_if_mempool_oom(err_or_exc, api_name=None, device=0):
-        if api_name is not None and not isinstance(api_name, str):
-            device = api_name
-            api_name = None
-
-        if "CUDA_ERROR_OUT_OF_MEMORY" not in str(err_or_exc):
-            return
-        try:
-            is_windows_mcdm = _is_windows_mcdm_device(device)
-        except Exception:
-            # If MCDM detection fails, leave the primary test failure visible.
-            return
-        if not is_windows_mcdm:
-            return
-
-        api_context = f"{api_name} " if api_name else ""
-        pytest.xfail(f"{api_context}could not reserve VA for mempool operations on Windows MCDM")
-
-
-# Import shared test helpers for tests across subprojects.
-# PLEASE KEEP IN SYNC with copies in other conftest.py in this repo.
-_test_helpers_root = pathlib.Path(__file__).resolve().parents[2] / "cuda_python_test_helpers"
-try:
-    distribution("cuda-python-test-helpers")
-except PackageNotFoundError as exc:
-    if not _test_helpers_root.is_dir():
-        raise RuntimeError(
-            f"cuda-python-test-helpers not installed; expected checkout path {_test_helpers_root}"
-        ) from exc
-
-    test_helpers_root = str(_test_helpers_root)
-    if test_helpers_root not in sys.path:
-        sys.path.insert(0, test_helpers_root)
 
 
 def pytest_configure(config):
@@ -114,6 +70,18 @@ def _init_cuda_context():
     try:
         yield device
     finally:
+        # Force any pool/allocation whose only remaining reference was a local
+        # in this test's frame to actually get destroyed now, then drain the
+        # context so the stream-ordered frees that destruction enqueues retire
+        # before the next test runs. Without this, a memory pool's VA
+        # reservation is not returned until both have happened, and per-test
+        # leftovers accumulate across the run -- which is how full-suite runs
+        # can exhaust address space and hit CUDA_ERROR_OUT_OF_MEMORY on a
+        # device with plenty of free physical memory (issue #2381). gc.collect()
+        # must run first: cuCtxSynchronize alone cannot drain frees that were
+        # never enqueued because their owning object had not been collected yet.
+        gc.collect()
+        driver.cuCtxSynchronize()
         _ = _device_unset_current()
 
 
@@ -252,7 +220,9 @@ def _device_id_from_resource_options(device, args, kwargs):
 
 def _require_ipc_mempool_devices(devices):
     """Return devices if they all support IPC-enabled mempools, otherwise skip."""
-    from helpers import IS_WSL, supports_ipc_mempool
+    from helpers import supports_ipc_mempool
+
+    from cuda_python_test_helpers import IS_WSL
 
     checked_devices = tuple(devices)
 
@@ -347,7 +317,6 @@ def ipc_device(init_cuda):
 )
 def ipc_memory_resource(request, ipc_device):
     """Provides IPC-enabled memory resource (either Device or Pinned)."""
-    POOL_SIZE = 2097152
     mr_type = request.param
 
     if mr_type == "device":
@@ -445,22 +414,3 @@ def test_something(memory_resource_factory):
                 mr = MRClass()
     """
     return request.param
-
-
-# Please keep in sync with the copy in the top-level conftest.py.
-def _cuda_headers_available() -> bool:
-    """Return True if CUDA headers are available, False otherwise.
-
-    Returns False if no CUDA path is set or if the CUDA path has no
-    include/ subdirectory (e.g. a sanitizer-only mini-CTK install).
-    """
-    cuda_path = get_cuda_path_or_home()
-    if cuda_path is None:
-        return False
-    return os.path.isdir(os.path.join(cuda_path, "include"))
-
-
-skipif_need_cuda_headers = pytest.mark.skipif(
-    not _cuda_headers_available(),
-    reason="need CUDA header",
-)
diff --git a/cuda_core/tests/example_tests/test_basic_examples.py b/cuda_core/tests/example_tests/test_basic_examples.py
index a8a47791991..bf423758366 100644
--- a/cuda_core/tests/example_tests/test_basic_examples.py
+++ b/cuda_core/tests/example_tests/test_basic_examples.py
@@ -11,17 +11,11 @@
 import warnings
 
 import pytest
+from cuda_python_test_helpers.pep723 import has_package_requirements_or_skip
 
 from cuda.core import Device, ManagedMemoryResource, system
 from cuda.core._program import _can_load_generated_ptx
 
-try:
-    from cuda.bindings._test_helpers.pep723 import has_package_requirements_or_skip
-except ImportError:
-    # If the import fails, we define a dummy function that will cause all tests to be skipped.
-    def has_package_requirements_or_skip(example):
-        pytest.skip("PEP 723 test helper is not available")
-
 
 def has_compute_capability_9_or_higher() -> bool:
     return Device().compute_capability >= (9, 0)
diff --git a/cuda_core/tests/graph/test_device_launch.py b/cuda_core/tests/graph/test_device_launch.py
index 221b09bd815..d77ceeec37f 100644
--- a/cuda_core/tests/graph/test_device_launch.py
+++ b/cuda_core/tests/graph/test_device_launch.py
@@ -5,7 +5,7 @@
 
 import numpy as np
 import pytest
-from helpers.marks import requires_module
+from cuda_python_test_helpers.marks import requires_module
 
 from cuda.core import (
     Device,
diff --git a/cuda_core/tests/graph/test_graph_builder.py b/cuda_core/tests/graph/test_graph_builder.py
index 443399c4590..a730c2bd83a 100644
--- a/cuda_core/tests/graph/test_graph_builder.py
+++ b/cuda_core/tests/graph/test_graph_builder.py
@@ -9,8 +9,8 @@
 
 import numpy as np
 import pytest
+from cuda_python_test_helpers.marks import requires_module
 from helpers.graph_kernels import compile_common_kernels, compile_conditional_kernels
-from helpers.marks import requires_module
 from helpers.misc import try_create_condition
 
 from cuda.core import Device, LaunchConfig, LegacyPinnedMemoryResource, launch
@@ -306,6 +306,21 @@ def read_byte(data):
     assert result[0] == 0xAB
 
 
+@pytest.mark.agent_authored(model="cursor-grok-4.5")
+def test_graph_capture_callback_ctypes_rejects_incompatible_signature(init_cuda):
+    """Stream-capture host callbacks use the same ctypes ABI check."""
+    import ctypes
+
+    bad_type = ctypes.CFUNCTYPE(ctypes.c_int, ctypes.c_void_p)
+    launch_stream = Device().create_stream()
+    gb = launch_stream.create_graph_builder().begin_building()
+    try:
+        with pytest.raises(TypeError, match="CUhostFn"):
+            gb.callback(bad_type(0))
+    finally:
+        gb.end_building()
+
+
 @pytest.mark.agent_authored(model="claude-opus-4.8")
 def test_graph_capture_callback_python_survives_del(init_cuda):
     """Captured callback is retained by its graph-node user object after del."""
diff --git a/cuda_core/tests/graph/test_graph_builder_conditional.py b/cuda_core/tests/graph/test_graph_builder_conditional.py
index 0bb779a8bf7..150d43bfc14 100644
--- a/cuda_core/tests/graph/test_graph_builder_conditional.py
+++ b/cuda_core/tests/graph/test_graph_builder_conditional.py
@@ -7,8 +7,8 @@
 
 import numpy as np
 import pytest
+from cuda_python_test_helpers.marks import requires_module
 from helpers.graph_kernels import compile_conditional_kernels
-from helpers.marks import requires_module
 
 from cuda.core import Device, LaunchConfig, LegacyPinnedMemoryResource, launch
 from cuda.core.graph import GraphBuilder
diff --git a/cuda_core/tests/graph/test_graph_definition.py b/cuda_core/tests/graph/test_graph_definition.py
index 50d4b4ac253..0aeb5a9d527 100644
--- a/cuda_core/tests/graph/test_graph_definition.py
+++ b/cuda_core/tests/graph/test_graph_definition.py
@@ -3,14 +3,16 @@
 
 """Tests for GraphDefinition topology, node types, instantiation, and execution."""
 
+import ctypes
+import sys
 from collections.abc import Callable
 from dataclasses import dataclass, field
 
 import pytest
+from conftest import xfail_on_graph_mempool_oom
 from helpers.graph_kernels import compile_common_kernels
 from helpers.misc import try_create_condition
 
-from conftest import xfail_on_graph_mempool_oom
 from cuda.core import Device, LaunchConfig
 from cuda.core.graph import (
     AllocNode,
@@ -701,6 +703,22 @@ def test_node_attrs_preserved_by_nodes(node_spec):
         assert getattr(retrieved, attr) == getattr(node, attr), f"{spec.name}.{attr} not preserved by nodes()"
 
 
+@pytest.mark.agent_authored(model="claude-opus-4.8")
+def test_host_callback_node_reconstructed_from_embedded_child(init_cuda):
+    """A host-callback node read through an embedded child graph is reconstructed via _create_from_driver."""
+    # The same-wrapper nodes() (test_node_attrs_preserved_by_nodes) returns the
+    # registry-cached object and never exercises reconstruction; only the embedded
+    # child graph carries fresh, unregistered node handles. Host callback is
+    # mempool-free so it reconstructs here; alloc-based nodes stay cached.
+    child = GraphDefinition()
+    _build_host_callback_node(child)
+    parent = GraphDefinition()
+    reconstructed = list(parent.embed(child).child_graph.nodes())
+    assert any(isinstance(n, HostCallbackNode) for n in reconstructed), (
+        f"no reconstructed HostCallbackNode in {[type(n).__name__ for n in reconstructed]}"
+    )
+
+
 def test_identity_preservation(init_cuda):
     """Round-trips through nodes(), edges(), and pred/succ return extant
     objects rather than duplicates."""
@@ -1143,6 +1161,88 @@ def test_host_callback_user_data_rejected_for_python_callable(sample_graphdef):
         sample_graphdef.callback(lambda: None, user_data=b"hello")
 
 
+_INCOMPATIBLE_CTYPES_HOST_CALLBACKS = [
+    pytest.param(ctypes.CFUNCTYPE(ctypes.c_int, ctypes.c_void_p), id="bad-restype"),
+    pytest.param(ctypes.CFUNCTYPE(None, ctypes.c_int), id="bad-argtype"),
+    pytest.param(ctypes.CFUNCTYPE(None), id="missing-arg"),
+    pytest.param(ctypes.CFUNCTYPE(None, ctypes.c_void_p, ctypes.c_void_p), id="extra-arg"),
+]
+
+# Prototypes that declare CUhostFn but differ in ctypes bookkeeping. ctypes
+# builds the same thunk for all of them, so all must be accepted.
+_COMPATIBLE_CTYPES_HOST_CALLBACKS = [
+    pytest.param(ctypes.CFUNCTYPE(None, ctypes.c_void_p), id="cfunctype"),
+    pytest.param(ctypes.CFUNCTYPE(None, ctypes.c_void_p, use_errno=True), id="use-errno"),
+    pytest.param(ctypes.PYFUNCTYPE(None, ctypes.c_void_p), id="pyfunctype"),
+]
+
+
+@pytest.mark.agent_authored(model="cursor-grok-4.5")
+@pytest.mark.parametrize("callback_type", _INCOMPATIBLE_CTYPES_HOST_CALLBACKS)
+def test_host_callback_ctypes_rejects_incompatible_signature(sample_graphdef, callback_type):
+    """Incompatible ctypes prototypes are rejected before CUDA sees them."""
+    with pytest.raises(TypeError, match="CUhostFn"):
+        sample_graphdef.callback(callback_type(0))
+
+
+@pytest.mark.agent_authored(model="cursor-grok-4.5")
+def test_host_callback_ctypes_update_rejects_incompatible_signature(sample_graphdef):
+    """HostCallbackNode.update applies the same ctypes ABI check."""
+    good_type = ctypes.CFUNCTYPE(None, ctypes.c_void_p)
+    bad_type = ctypes.CFUNCTYPE(ctypes.c_int, ctypes.c_void_p)
+
+    @good_type
+    def good(data):
+        pass
+
+    node = sample_graphdef.callback(good)
+    with pytest.raises(TypeError, match="CUhostFn"):
+        node.update(bad_type(0))
+
+
+@pytest.mark.agent_authored(model="claude-opus-5")
+@pytest.mark.parametrize("callback_type", _COMPATIBLE_CTYPES_HOST_CALLBACKS)
+def test_host_callback_ctypes_accepts_equivalent_prototypes(sample_graphdef, callback_type):
+    """Prototypes that declare CUhostFn are accepted and run."""
+    called = [False]
+
+    @callback_type
+    def raw_fn(data):
+        called[0] = True
+
+    sample_graphdef.callback(raw_fn)
+    graph = sample_graphdef.instantiate()
+
+    stream = Device().create_stream()
+    graph.upload(stream)
+    graph.launch(stream)
+    stream.sync()
+
+    assert called[0]
+
+
+@pytest.mark.agent_authored(model="cursor-grok-4.5")
+@pytest.mark.skipif(sys.platform != "win32", reason="WINFUNCTYPE is Windows-only")
+def test_host_callback_ctypes_accepts_winfunctype(sample_graphdef):
+    """On Windows, WINFUNCTYPE matches CUDA_CB (__stdcall) and is accepted."""
+    callback_type = ctypes.WINFUNCTYPE(None, ctypes.c_void_p)
+    called = [False]
+
+    @callback_type
+    def raw_fn(data):
+        called[0] = True
+
+    sample_graphdef.callback(raw_fn)
+    graph = sample_graphdef.instantiate()
+
+    stream = Device().create_stream()
+    graph.upload(stream)
+    graph.launch(stream)
+    stream.sync()
+
+    assert called[0]
+
+
 def test_instantiate_and_execute_event_record_wait(sample_graphdef):
     """Graph with event record and wait nodes can be executed."""
     event = Device().create_event()
diff --git a/cuda_core/tests/graph/test_graph_definition_errors.py b/cuda_core/tests/graph/test_graph_definition_errors.py
index a8a3c9b8f09..d80118cdf7c 100644
--- a/cuda_core/tests/graph/test_graph_definition_errors.py
+++ b/cuda_core/tests/graph/test_graph_definition_errors.py
@@ -6,10 +6,10 @@
 import ctypes
 
 import pytest
+from conftest import xfail_on_graph_mempool_oom
 from helpers.graph_kernels import compile_common_kernels
 from helpers.misc import try_create_condition
 
-from conftest import xfail_on_graph_mempool_oom
 from cuda.core import Device, LaunchConfig
 from cuda.core._utils.cuda_utils import CUDAError
 from cuda.core.graph import (
diff --git a/cuda_core/tests/graph/test_graph_definition_integration.py b/cuda_core/tests/graph/test_graph_definition_integration.py
index 12b57bb73a5..58f96e1bab3 100644
--- a/cuda_core/tests/graph/test_graph_definition_integration.py
+++ b/cuda_core/tests/graph/test_graph_definition_integration.py
@@ -7,8 +7,8 @@
 
 import numpy as np
 import pytest
-
 from conftest import xfail_on_graph_mempool_oom
+
 from cuda.core import Device, EventOptions, LaunchConfig, Program, ProgramOptions
 from cuda.core._utils.cuda_utils import driver, handle_return
 from cuda.core.graph import GraphDefinition
diff --git a/cuda_core/tests/graph/test_graph_definition_lifetime.py b/cuda_core/tests/graph/test_graph_definition_lifetime.py
index 804cccc1923..93c1453753d 100644
--- a/cuda_core/tests/graph/test_graph_definition_lifetime.py
+++ b/cuda_core/tests/graph/test_graph_definition_lifetime.py
@@ -13,10 +13,10 @@
 import weakref
 
 import pytest
+from conftest import xfail_on_graph_mempool_oom
 from helpers.graph_kernels import compile_common_kernels
 from helpers.misc import try_create_condition
 
-from conftest import xfail_on_graph_mempool_oom
 from cuda_python_test_helpers import under_compute_sanitizer
 
 # Resource finalization triggered by graph destruction is not synchronous. A
@@ -77,6 +77,8 @@ def _wait_until(predicate, timeout=None, interval=0.02):
 
 
 from cuda.core import Device, DeviceMemoryResource, EventOptions, Kernel, LaunchConfig
+from cuda.core._utils.cuda_utils import CUDAError
+from cuda.core._utils.version import driver_version
 from cuda.core.graph import (
     ChildGraphNode,
     ConditionalNode,
@@ -424,6 +426,97 @@ def test_destroying_child_node_invalidates_embedded_handles(init_cuda):
     assert not embedded_callback.is_valid
 
 
+@pytest.mark.agent_authored(model="gpt-5.6")
+def test_updating_child_node_replaces_embedded_handles(init_cuda):
+    """A successful replacement invalidates only the old embedded hierarchy."""
+    if driver_version() < (12, 2, 0):
+        pytest.skip("individual graph node updates require CUDA 12.2+")
+
+    old_inner = GraphDefinition()
+    old_inner.callback(lambda: None)
+    old_middle = GraphDefinition()
+    old_middle.embed(old_inner)
+    parent = GraphDefinition()
+    child_node = parent.embed(old_middle)
+
+    embedded_middle = child_node.child_graph
+    embedded_child = next(node for node in embedded_middle.nodes() if isinstance(node, ChildGraphNode))
+    embedded_inner = embedded_child.child_graph
+    embedded_callback = next(node for node in embedded_inner.nodes() if isinstance(node, HostCallbackNode))
+
+    # Sources from the destination hierarchy may contain handles CUDA destroys
+    # during replacement, so cuda-core rejects them before mutation.
+    with pytest.raises(CUDAError):
+        child_node.update(embedded_middle)
+    with pytest.raises(CUDAError):
+        child_node.update(parent)
+    assert int(embedded_middle.handle) != 0
+    assert int(embedded_inner.handle) != 0
+    assert embedded_child.is_valid
+    assert embedded_callback.is_valid
+
+    replacement_inner = GraphDefinition()
+    replacement_inner.callback(lambda: None)
+    replacement_middle = GraphDefinition()
+    replacement_middle.embed(replacement_inner)
+    child_node.update(replacement_middle)
+
+    assert child_node.is_valid
+    assert int(embedded_middle.handle) == 0
+    assert int(embedded_inner.handle) == 0
+    assert not embedded_child.is_valid
+    assert not embedded_callback.is_valid
+
+    new_middle = child_node.child_graph
+    new_child = next(node for node in new_middle.nodes() if isinstance(node, ChildGraphNode))
+    assert int(new_middle.handle) != 0
+    assert int(new_child.child_graph.handle) != 0
+
+
+@pytest.mark.agent_authored(model="gpt-5.6")
+def test_child_update_replaces_nested_attachments(init_cuda):
+    """Replacement drops old owners and imports nested replacement owners."""
+    if driver_version() < (12, 2, 0):
+        pytest.skip("individual graph node updates require CUDA 12.2+")
+
+    def old_callback():
+        pass
+
+    old_callback_weak = weakref.ref(old_callback)
+    old_child = GraphDefinition()
+    old_child.callback(old_callback)
+    parent = GraphDefinition()
+    child_node = parent.embed(old_child)
+
+    del old_callback, old_child
+    gc.collect()
+    assert old_callback_weak() is not None
+
+    def replacement_callback():
+        pass
+
+    replacement_callback_weak = weakref.ref(replacement_callback)
+    replacement_inner = GraphDefinition()
+    replacement_inner.callback(replacement_callback)
+    replacement = GraphDefinition()
+    replacement.embed(replacement_inner)
+    child_node.update(replacement)
+
+    _wait_until(lambda: old_callback_weak() is None)
+    del replacement_callback, replacement_inner, replacement
+    gc.collect()
+    assert replacement_callback_weak() is not None
+
+    embedded = child_node.child_graph
+    embedded_child = next(node for node in embedded.nodes() if isinstance(node, ChildGraphNode))
+    embedded_callback = next(node for node in embedded_child.child_graph.nodes() if isinstance(node, HostCallbackNode))
+    assert embedded_callback.callback is replacement_callback_weak()
+
+    del embedded_callback, embedded_child, embedded
+    child_node.destroy()
+    _wait_until(lambda: replacement_callback_weak() is None)
+
+
 @pytest.mark.agent_authored(model="gpt-5.6")
 def test_builder_embedded_clone_releases_attachment_on_node_destroy(init_cuda):
     """GraphBuilder.embed imports metadata from the captured child graph."""
diff --git a/cuda_core/tests/graph/test_graph_definition_mutation.py b/cuda_core/tests/graph/test_graph_definition_mutation.py
index 066822f232a..eb1f0255ad4 100644
--- a/cuda_core/tests/graph/test_graph_definition_mutation.py
+++ b/cuda_core/tests/graph/test_graph_definition_mutation.py
@@ -8,9 +8,9 @@
 
 import numpy as np
 import pytest
+from cuda_python_test_helpers.marks import requires_module
 from helpers.collection_interface_testers import assert_mutable_set_interface
 from helpers.graph_kernels import compile_parallel_kernels
-from helpers.marks import requires_module
 
 from cuda.core import Device, LaunchConfig, LegacyPinnedMemoryResource
 from cuda.core._utils.cuda_utils import CUDAError
diff --git a/cuda_core/tests/graph/test_graph_memory_resource.py b/cuda_core/tests/graph/test_graph_memory_resource.py
index 9fc794f4cca..517f9c080b7 100644
--- a/cuda_core/tests/graph/test_graph_memory_resource.py
+++ b/cuda_core/tests/graph/test_graph_memory_resource.py
@@ -5,10 +5,9 @@
 """Tests for GraphMemoryResource allocation and attributes during graph capture."""
 
 import pytest
-from helpers import IS_WINDOWS, IS_WSL
+from conftest import xfail_on_graph_mempool_oom
 from helpers.buffers import compare_buffer_to_constant, make_scratch_buffer, set_buffer
 
-from conftest import xfail_on_graph_mempool_oom
 from cuda.core import (
     Device,
     DeviceMemoryResource,
@@ -20,6 +19,7 @@
 )
 from cuda.core._utils.cuda_utils import CUDAError
 from cuda.core.graph import GraphCompleteOptions
+from cuda_python_test_helpers import IS_WINDOWS, IS_WSL
 
 
 def _common_kernels_alloc():
diff --git a/cuda_core/tests/graph/test_graph_node_update.py b/cuda_core/tests/graph/test_graph_node_update.py
new file mode 100644
index 00000000000..f34b9ce7f93
--- /dev/null
+++ b/cuda_core/tests/graph/test_graph_node_update.py
@@ -0,0 +1,1219 @@
+# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+
+"""Tests for updating individual graph node parameters."""
+
+import ctypes
+import gc
+import threading
+import time
+import weakref
+from dataclasses import dataclass
+from typing import Callable
+
+import pytest
+from helpers.graph_kernels import compile_common_kernels
+
+from cuda.core import LaunchConfig, LegacyPinnedMemoryResource
+from cuda.core._utils._weak_handles import weak_handle
+from cuda.core._utils.cuda_utils import CUDAError, driver, handle_return
+from cuda.core._utils.version import driver_version
+from cuda.core.graph import (
+    ChildGraphNode,
+    EventRecordNode,
+    EventWaitNode,
+    GraphDefinition,
+    HostCallbackNode,
+    KernelNode,
+    MemcpyNode,
+    MemsetNode,
+)
+
+
+@dataclass
+class _DefinitionUpdateCase:
+    graph_def: GraphDefinition
+    node: object
+    original: object
+    replacement: object
+    update: Callable[[object], None]
+    assert_current: Callable[[object], None]
+    assert_exec_uses: Callable[[object, object], None]
+    invalid_update: Callable[[], None] | None
+    invalid_exception: type[BaseException] | None
+    invalid_argument_update: Callable[[], None] | None
+
+
+def _assert_equal(actual, expected):
+    assert actual == expected
+
+
+def _wait_until(predicate, timeout=5.0):
+    deadline = time.monotonic() + timeout
+    while not predicate():
+        if time.monotonic() >= deadline:
+            raise AssertionError(f"condition not satisfied within {timeout}s")
+        gc.collect()
+        time.sleep(0.02)
+
+
+def _update_executable_case(graph, case):
+    view = graph[case.node]
+    replacement = case.replacement
+    if isinstance(case.node, (EventRecordNode, EventWaitNode)):
+        view.update(replacement)
+    elif isinstance(case.node, HostCallbackNode):
+        if isinstance(replacement, tuple):
+            view.update(replacement[0], user_data=replacement[1])
+        else:
+            view.update(replacement)
+    elif isinstance(case.node, MemsetNode):
+        view.update(
+            dst=replacement["dst"],
+            value=replacement["value"],
+            width=replacement["width"],
+            height=replacement["height"],
+            pitch=replacement["pitch"],
+        )
+    elif isinstance(case.node, MemcpyNode):
+        view.update(
+            dst=replacement["dst"],
+            src=replacement["src"],
+            size=replacement["size"],
+        )
+    elif isinstance(case.node, KernelNode):
+        view.update(
+            config=replacement["config"],
+            kernel=replacement["kernel"],
+            args=replacement["args"],
+        )
+    elif isinstance(case.node, ChildGraphNode):
+        view.update(replacement["child"])
+    else:  # pragma: no cover - fixture cases are exhaustive
+        raise AssertionError(f"unsupported case: {type(case.node).__name__}")
+
+
+def _event_record_case(device):
+    """Keep the selected event pending to identify each exec's record target."""
+    original = device.create_event()
+    replacement = device.create_event()
+    invalid_replacement = device.create_event()
+    invalid_replacement.close()
+
+    callback_started = threading.Event()
+    callback_release = threading.Event()
+
+    def blocking_callback():
+        callback_started.set()
+        callback_release.wait(timeout=30)
+
+    graph_def = GraphDefinition()
+    callback_node = graph_def.callback(blocking_callback)
+    node = callback_node.record(original)
+
+    def assert_exec_uses(graph, expected):
+        callback_started.clear()
+        callback_release.clear()
+        stream = device.create_stream()
+        graph.launch(stream)
+        try:
+            assert callback_started.wait(timeout=5)
+            assert expected.is_done is False
+            unexpected = replacement if expected is original else original
+            assert unexpected.is_done is True
+        finally:
+            callback_release.set()
+            stream.sync()
+
+    return _DefinitionUpdateCase(
+        graph_def=graph_def,
+        node=node,
+        original=original,
+        replacement=replacement,
+        update=node.update,
+        assert_current=lambda expected: _assert_equal(node.event, expected),
+        assert_exec_uses=assert_exec_uses,
+        invalid_update=lambda: node.update(invalid_replacement),
+        invalid_exception=CUDAError,
+        invalid_argument_update=lambda: node.update(object()),
+    )
+
+
+def _event_wait_case(device):
+    """Keep the selected event pending to identify each exec's wait target."""
+    original = device.create_event()
+    replacement = device.create_event()
+    invalid_replacement = device.create_event()
+    invalid_replacement.close()
+
+    callback_called = threading.Event()
+    graph_def = GraphDefinition()
+    node = graph_def.wait(original)
+    node.callback(callback_called.set)
+
+    def assert_exec_uses(graph, expected):
+        producer_started = threading.Event()
+        producer_release = threading.Event()
+
+        def blocking_callback():
+            producer_started.set()
+            producer_release.wait(timeout=30)
+
+        producer_def = GraphDefinition()
+        producer_def.callback(blocking_callback).record(expected)
+        producer_graph = producer_def.instantiate()
+        producer_stream = device.create_stream()
+        consumer_stream = device.create_stream()
+
+        callback_called.clear()
+        producer_graph.launch(producer_stream)
+        try:
+            assert producer_started.wait(timeout=5)
+            graph.launch(consumer_stream)
+            assert not callback_called.wait(timeout=0.1)
+        finally:
+            producer_release.set()
+            producer_stream.sync()
+            consumer_stream.sync()
+        assert callback_called.is_set()
+
+    return _DefinitionUpdateCase(
+        graph_def=graph_def,
+        node=node,
+        original=original,
+        replacement=replacement,
+        update=node.update,
+        assert_current=lambda expected: _assert_equal(node.event, expected),
+        assert_exec_uses=assert_exec_uses,
+        invalid_update=lambda: node.update(invalid_replacement),
+        invalid_exception=CUDAError,
+        invalid_argument_update=lambda: node.update(object()),
+    )
+
+
+def _host_callback_case(device):
+    """Use callbacks that report their identity to distinguish each exec."""
+    called = []
+
+    def original():
+        called.append(original)
+
+    def replacement():
+        called.append(replacement)
+
+    graph_def = GraphDefinition()
+    node = graph_def.callback(original)
+
+    def assert_exec_uses(graph, expected):
+        called.clear()
+        stream = device.create_stream()
+        graph.launch(stream)
+        stream.sync()
+        assert called == [expected]
+
+    return _DefinitionUpdateCase(
+        graph_def=graph_def,
+        node=node,
+        original=original,
+        replacement=replacement,
+        update=node.update,
+        assert_current=lambda expected: _assert_equal(node.callback, expected),
+        assert_exec_uses=assert_exec_uses,
+        invalid_update=lambda: node.update(replacement, user_data=b"not valid for a Python callback"),
+        invalid_exception=ValueError,
+        invalid_argument_update=lambda: node.update(object()),
+    )
+
+
+def _host_callback_ctypes_case(device):
+    """Use ctypes callbacks and copied payloads to distinguish each exec."""
+    callback_type = ctypes.CFUNCTYPE(None, ctypes.c_void_p)
+    called = []
+
+    def read_byte(data):
+        return ctypes.cast(data, ctypes.POINTER(ctypes.c_uint8))[0]
+
+    @callback_type
+    def original_fn(data):
+        called.append((original_fn, read_byte(data)))
+
+    @callback_type
+    def replacement_fn(data):
+        called.append((replacement_fn, read_byte(data)))
+
+    original = original_fn, bytes([0xA1])
+    replacement = replacement_fn, bytes([0xB2])
+    graph_def = GraphDefinition()
+    node = graph_def.callback(original_fn, user_data=original[1])
+
+    def update(value):
+        fn, user_data = value
+        node.update(fn, user_data=user_data)
+
+    def assert_exec_uses(graph, expected):
+        called.clear()
+        stream = device.create_stream()
+        graph.launch(stream)
+        stream.sync()
+        assert called == [(expected[0], expected[1][0])]
+
+    def invalid_update():
+        node.update(lambda: None, user_data=b"not valid for a Python callback")
+
+    return _DefinitionUpdateCase(
+        graph_def=graph_def,
+        node=node,
+        original=original,
+        replacement=replacement,
+        update=update,
+        assert_current=lambda _expected: _assert_equal(node.callback, None),
+        assert_exec_uses=assert_exec_uses,
+        invalid_update=invalid_update,
+        invalid_exception=ValueError,
+        invalid_argument_update=None,
+    )
+
+
+def _memset_case(device, *, replace_dst):
+    memory_resource = LegacyPinnedMemoryResource()
+    original_buffer = memory_resource.allocate(4)
+    replacement_buffer = memory_resource.allocate(4) if replace_dst else original_buffer
+    original = {
+        "dst": original_buffer,
+        "value": 0x11,
+        "element_size": 1,
+        "width": 4,
+        "height": 1,
+        "pitch": 0,
+    }
+    replacement = {
+        **original,
+        "dst": replacement_buffer,
+        "value": 0x22,
+    }
+
+    graph_def = GraphDefinition()
+    node = graph_def.memset(original["dst"], original["value"], original["width"])
+
+    def update(expected):
+        if replace_dst:
+            node.update(dst=expected["dst"], value=expected["value"])
+        else:
+            node.update(value=expected["value"])
+
+    def assert_current(expected):
+        assert node.dptr == int(expected["dst"].handle)
+        assert node.value == expected["value"]
+        assert node.element_size == expected["element_size"]
+        assert node.width == expected["width"]
+        assert node.height == expected["height"]
+        assert node.pitch == expected["pitch"]
+
+    def as_bytes(buffer):
+        return (ctypes.c_uint8 * 4).from_address(int(buffer.handle))
+
+    def assert_exec_uses(graph, expected):
+        original_data = as_bytes(original_buffer)
+        replacement_data = as_bytes(replacement_buffer)
+        original_data[:] = [0] * 4
+        replacement_data[:] = [0] * 4
+
+        stream = device.create_stream()
+        graph.launch(stream)
+        stream.sync()
+
+        assert list(as_bytes(expected["dst"])) == [expected["value"]] * 4
+        if replace_dst:
+            unexpected = replacement_buffer if expected["dst"] is original_buffer else original_buffer
+            assert list(as_bytes(unexpected)) == [0] * 4
+
+    return _DefinitionUpdateCase(
+        graph_def=graph_def,
+        node=node,
+        original=original,
+        replacement=replacement,
+        update=update,
+        assert_current=assert_current,
+        assert_exec_uses=assert_exec_uses,
+        invalid_update=lambda: node.update(value=256),
+        invalid_exception=OverflowError,
+        invalid_argument_update=lambda: node.update(dst=object()),
+    )
+
+
+def _memset_value_case(device):
+    """Change the fill value while preserving destination ownership."""
+    return _memset_case(device, replace_dst=False)
+
+
+def _memset_destination_case(device):
+    """Replace the destination and its retained allocation owner."""
+    return _memset_case(device, replace_dst=True)
+
+
+def _memcpy_case(device, *, replace_operand):
+    memory_resource = LegacyPinnedMemoryResource()
+    original_src = memory_resource.allocate(4)
+    original_dst = memory_resource.allocate(4)
+    replacement_src = memory_resource.allocate(4) if replace_operand == "src" else original_src
+    replacement_dst = memory_resource.allocate(4) if replace_operand == "dst" else original_dst
+    original = {
+        "dst": original_dst,
+        "src": original_src,
+        "size": 2 if replace_operand is None else 4,
+    }
+    replacement = {
+        "dst": replacement_dst,
+        "src": replacement_src,
+        "size": 4,
+    }
+
+    graph_def = GraphDefinition()
+    node = graph_def.memcpy(original["dst"], original["src"], original["size"])
+
+    def update(expected):
+        if replace_operand == "src":
+            node.update(src=expected["src"])
+        elif replace_operand == "dst":
+            node.update(dst=expected["dst"])
+        else:
+            node.update(size=expected["size"])
+
+    def assert_current(expected):
+        assert node.dst == int(expected["dst"].handle)
+        assert node.src == int(expected["src"].handle)
+        assert node.size == expected["size"]
+
+    def as_bytes(buffer):
+        return (ctypes.c_uint8 * 4).from_address(int(buffer.handle))
+
+    def assert_exec_uses(graph, expected):
+        as_bytes(original_src)[:] = [0x11] * 4
+        as_bytes(original_dst)[:] = [0] * 4
+        if replacement_src is not original_src:
+            as_bytes(replacement_src)[:] = [0x22] * 4
+        if replacement_dst is not original_dst:
+            as_bytes(replacement_dst)[:] = [0] * 4
+
+        stream = device.create_stream()
+        graph.launch(stream)
+        stream.sync()
+
+        source_value = 0x11 if expected["src"] is original_src else 0x22
+        expected_data = [source_value] * expected["size"]
+        expected_data.extend([0] * (4 - expected["size"]))
+        assert list(as_bytes(expected["dst"])) == expected_data
+        if replacement_dst is not original_dst:
+            unexpected_dst = replacement_dst if expected["dst"] is original_dst else original_dst
+            assert list(as_bytes(unexpected_dst)) == [0] * 4
+
+    return _DefinitionUpdateCase(
+        graph_def=graph_def,
+        node=node,
+        original=original,
+        replacement=replacement,
+        update=update,
+        assert_current=assert_current,
+        assert_exec_uses=assert_exec_uses,
+        invalid_update=lambda: node.update(size=-1),
+        invalid_exception=OverflowError,
+        invalid_argument_update=lambda: node.update(src=object()),
+    )
+
+
+def _memcpy_size_case(device):
+    """Change the copy size while preserving both operand owners."""
+    return _memcpy_case(device, replace_operand=None)
+
+
+def _memcpy_source_case(device):
+    """Replace the source while preserving destination ownership."""
+    return _memcpy_case(device, replace_operand="src")
+
+
+def _memcpy_destination_case(device):
+    """Replace the destination while preserving source ownership."""
+    return _memcpy_case(device, replace_operand="dst")
+
+
+def _kernel_case(device, *, replace):
+    module = compile_common_kernels()
+    add_one = module.get_kernel("add_one")
+    empty_kernel = module.get_kernel("empty_kernel")
+    write_launch_dims = module.get_kernel("write_launch_dims")
+    memory_resource = LegacyPinnedMemoryResource()
+    original_buffer = memory_resource.allocate(ctypes.sizeof(ctypes.c_int))
+    replacement_buffer = memory_resource.allocate(ctypes.sizeof(ctypes.c_int)) if replace == "args" else original_buffer
+
+    original_config = LaunchConfig(grid=1, block=1)
+    replacement_config = LaunchConfig(grid=2, block=3) if replace == "config" else original_config
+    original_kernel = write_launch_dims if replace == "config" else add_one
+    replacement_kernel = empty_kernel if replace == "kernel" else original_kernel
+    original_args = (original_buffer,)
+    if replace == "kernel":
+        replacement_args = ()
+    elif replace == "args":
+        replacement_args = (replacement_buffer,)
+    else:
+        replacement_args = original_args
+
+    original = {
+        "config": original_config,
+        "kernel": original_kernel,
+        "args": original_args,
+        "output": original_buffer,
+        "expected": 1001 if replace == "config" else 1,
+    }
+    replacement = {
+        "config": replacement_config,
+        "kernel": replacement_kernel,
+        "args": replacement_args,
+        "output": replacement_buffer,
+        "expected": 2003 if replace == "config" else int(replace != "kernel"),
+    }
+
+    graph_def = GraphDefinition()
+    node = graph_def.launch(original["config"], original["kernel"], *original["args"])
+
+    def update(expected):
+        if replace == "config":
+            node.update(config=expected["config"])
+        elif replace == "args":
+            node.update(args=expected["args"])
+        else:
+            node.update(kernel=expected["kernel"], args=expected["args"])
+
+    def assert_current(expected):
+        assert node.config == expected["config"]
+        assert int(node.kernel.handle) == int(expected["kernel"].handle)
+
+    def as_int(buffer):
+        return ctypes.c_int.from_address(int(buffer.handle))
+
+    def assert_exec_uses(graph, expected):
+        as_int(original_buffer).value = 0
+        as_int(replacement_buffer).value = 0
+
+        stream = device.create_stream()
+        graph.launch(stream)
+        stream.sync()
+
+        assert as_int(expected["output"]).value == expected["expected"]
+        if replacement_buffer is not original_buffer:
+            unexpected = replacement_buffer if expected["output"] is original_buffer else original_buffer
+            assert as_int(unexpected).value == 0
+
+    def invalid_update():
+        if replace == "kernel":
+            node.update(kernel=replacement_kernel)
+        elif replace == "args":
+            node.update(args=(object(),))
+        else:
+            node.update(config=object())
+
+    invalid_exception = ValueError if replace == "kernel" else TypeError
+
+    return _DefinitionUpdateCase(
+        graph_def=graph_def,
+        node=node,
+        original=original,
+        replacement=replacement,
+        update=update,
+        assert_current=assert_current,
+        assert_exec_uses=assert_exec_uses,
+        invalid_update=invalid_update,
+        invalid_exception=invalid_exception,
+        invalid_argument_update=lambda: node.update(config=object()),
+    )
+
+
+def _kernel_config_case(device):
+    """Replace launch dimensions while preserving the kernel and arguments."""
+    return _kernel_case(device, replace="config")
+
+
+def _kernel_args_case(device):
+    """Replace arguments while preserving the kernel and configuration."""
+    return _kernel_case(device, replace="args")
+
+
+def _kernel_function_case(device):
+    """Replace a kernel and explicitly supply its coupled arguments."""
+    return _kernel_case(device, replace="kernel")
+
+
+def _child_graph_case(device):
+    """Replace the embedded clone while preserving existing executables."""
+    called = []
+
+    def original_callback():
+        called.append(original_callback)
+
+    def replacement_callback():
+        called.append(replacement_callback)
+
+    original_child = GraphDefinition()
+    original_child.callback(original_callback)
+    replacement_child = GraphDefinition()
+    replacement_child.callback(replacement_callback)
+    original = {
+        "child": original_child,
+        "callback": original_callback,
+    }
+    replacement = {
+        "child": replacement_child,
+        "callback": replacement_callback,
+    }
+
+    graph_def = GraphDefinition()
+    node = graph_def.embed(original_child)
+    invalid_child = node.child_graph
+
+    def update(expected):
+        node.update(expected["child"])
+
+    def assert_current(expected):
+        callback_node = next(
+            child_node for child_node in node.child_graph.nodes() if isinstance(child_node, HostCallbackNode)
+        )
+        assert callback_node.callback is expected["callback"]
+
+    def assert_exec_uses(graph, expected):
+        called.clear()
+        stream = device.create_stream()
+        graph.launch(stream)
+        stream.sync()
+        assert called == [expected["callback"]]
+
+    return _DefinitionUpdateCase(
+        graph_def=graph_def,
+        node=node,
+        original=original,
+        replacement=replacement,
+        update=update,
+        assert_current=assert_current,
+        assert_exec_uses=assert_exec_uses,
+        invalid_update=lambda: node.update(invalid_child),
+        invalid_exception=CUDAError,
+        invalid_argument_update=lambda: node.update(object()),
+    )
+
+
+@pytest.fixture(
+    params=[
+        pytest.param(_event_record_case, id="event-record"),
+        pytest.param(_event_wait_case, id="event-wait"),
+        pytest.param(_host_callback_case, id="host-callback-python"),
+        pytest.param(_host_callback_ctypes_case, id="host-callback-ctypes"),
+        pytest.param(_memset_value_case, id="memset-value"),
+        pytest.param(_memset_destination_case, id="memset-destination"),
+        pytest.param(_memcpy_size_case, id="memcpy-size"),
+        pytest.param(_memcpy_source_case, id="memcpy-source"),
+        pytest.param(_memcpy_destination_case, id="memcpy-destination"),
+        pytest.param(_kernel_config_case, id="kernel-config"),
+        pytest.param(_kernel_args_case, id="kernel-args"),
+        pytest.param(_kernel_function_case, id="kernel-function"),
+        pytest.param(_child_graph_case, id="child-graph"),
+    ]
+)
+def definition_update_case(request, init_cuda):
+    if driver_version() < (12, 2, 0):
+        pytest.skip("individual graph node updates require CUDA 12.2+")
+    return request.param(init_cuda)
+
+
+@pytest.mark.agent_authored(model="gpt-5.6")
+def test_memcpy_update_rejects_unsupported_descriptor(init_cuda):
+    if driver_version() < (12, 2, 0):
+        pytest.skip("individual graph node updates require CUDA 12.2+")
+
+    memory_resource = LegacyPinnedMemoryResource()
+    src = memory_resource.allocate(8)
+    dst = memory_resource.allocate(8)
+    graph_def = GraphDefinition()
+    node = graph_def.memcpy(dst, src, 4)
+
+    # cuda.core cannot construct this descriptor, but imported graphs can
+    # contain one; use cuda.bindings to exercise that rejection path.
+    params = driver.CUDA_MEMCPY3D()
+    params.srcXInBytes = 1
+    params.srcMemoryType = driver.CUmemorytype.CU_MEMORYTYPE_HOST
+    params.srcHost = int(src.handle)
+    params.srcPitch = 4
+    params.srcHeight = 2
+    params.dstMemoryType = driver.CUmemorytype.CU_MEMORYTYPE_HOST
+    params.dstHost = int(dst.handle)
+    params.dstPitch = 4
+    params.dstHeight = 2
+    params.WidthInBytes = 2
+    params.Height = 2
+    params.Depth = 1
+    handle_return(driver.cuGraphMemcpyNodeSetParams(node.handle, params))
+
+    with pytest.raises(NotImplementedError, match="multidimensional"):
+        node.update(size=3)
+
+    unchanged = handle_return(driver.cuGraphMemcpyNodeGetParams(node.handle))
+    assert unchanged.srcXInBytes == 1
+    assert unchanged.WidthInBytes == 2
+    assert unchanged.Height == 2
+
+
+@pytest.mark.agent_authored(model="gpt-5.6")
+def test_kernel_update_rejects_unsupported_config(init_cuda):
+    if driver_version() < (12, 2, 0):
+        pytest.skip("individual graph node updates require CUDA 12.2+")
+
+    kernel = compile_common_kernels().get_kernel("empty_kernel")
+    graph_def = GraphDefinition()
+    node = graph_def.launch(LaunchConfig(grid=1, block=1), kernel)
+
+    clustered = LaunchConfig(grid=1, block=1)
+    clustered.cluster = (1, 1, 1)
+    with pytest.raises(NotImplementedError, match="clustered or cooperative"):
+        node.update(config=clustered)
+    with pytest.raises(NotImplementedError, match="clustered or cooperative"):
+        graph_def.launch(clustered, kernel)
+
+    cooperative = LaunchConfig(grid=1, block=1)
+    cooperative.is_cooperative = True
+    with pytest.raises(NotImplementedError, match="clustered or cooperative"):
+        node.update(config=cooperative)
+    with pytest.raises(NotImplementedError, match="clustered or cooperative"):
+        graph_def.launch(cooperative, kernel)
+
+
+@pytest.mark.agent_authored(model="gpt-5.6")
+def test_partial_memory_updates_are_keyword_only(init_cuda):
+    memory_resource = LegacyPinnedMemoryResource()
+    src = memory_resource.allocate(4)
+    dst = memory_resource.allocate(4)
+    graph_def = GraphDefinition()
+    memset_node = graph_def.memset(dst, 0, 4)
+    memcpy_node = graph_def.memcpy(dst, src, 4)
+
+    with pytest.raises(TypeError):
+        memset_node.update(dst)
+    with pytest.raises(TypeError):
+        memcpy_node.update(dst)
+
+
+@pytest.mark.parametrize(
+    "device_operand",
+    [
+        pytest.param("src", id="device-to-host"),
+        pytest.param("dst", id="host-to-device"),
+    ],
+)
+@pytest.mark.agent_authored(model="gpt-5.6")
+def test_memcpy_update_between_host_and_device(init_cuda, device_operand):
+    if driver_version() < (12, 2, 0):
+        pytest.skip("individual graph node updates require CUDA 12.2+")
+
+    memory_resource = LegacyPinnedMemoryResource()
+    host_src = memory_resource.allocate(4)
+    host_dst = memory_resource.allocate(4)
+    host_src_bytes = (ctypes.c_uint8 * 4).from_address(int(host_src.handle))
+    host_dst_bytes = (ctypes.c_uint8 * 4).from_address(int(host_dst.handle))
+    host_src_bytes[:] = [0x5A] * 4
+    host_dst_bytes[:] = [0] * 4
+
+    stream = init_cuda.create_stream()
+    device_buffer = init_cuda.memory_resource.allocate(4, stream=stream)
+    device_buffer.fill(0, stream=stream)
+    if device_operand == "src":
+        device_buffer.copy_from(host_src, stream=stream)
+    stream.sync()
+
+    graph_def = GraphDefinition()
+    node = graph_def.memcpy(host_dst, host_src, 4)
+    if device_operand == "src":
+        node.update(src=device_buffer)
+    else:
+        node.update(dst=device_buffer)
+
+    graph = graph_def.instantiate()
+    graph.launch(stream)
+    if device_operand == "dst":
+        device_buffer.copy_to(host_dst, stream=stream)
+    stream.sync()
+
+    assert list(host_dst_bytes) == [0x5A] * 4
+
+
+@pytest.mark.agent_authored(model="gpt-5.6")
+def test_definition_node_update_changes_future_instantiations(
+    definition_update_case,
+):
+    case = definition_update_case
+    assert case.original != case.replacement
+    old_graph = case.graph_def.instantiate()
+
+    case.update(case.replacement)
+    case.assert_current(case.replacement)
+
+    new_graph = case.graph_def.instantiate()
+    assert old_graph != new_graph
+    case.assert_exec_uses(old_graph, case.original)
+    case.assert_exec_uses(new_graph, case.replacement)
+
+
+@pytest.mark.agent_authored(model="gpt-5.6")
+def test_destroyed_definition_node_rejects_update(
+    definition_update_case,
+):
+    case = definition_update_case
+    case.node.destroy()
+
+    assert not case.node.is_valid
+    assert case.node not in case.graph_def.nodes()
+    with pytest.raises(CUDAError):
+        case.update(case.replacement)
+    assert not case.node.is_valid
+    assert case.node not in case.graph_def.nodes()
+
+
+@pytest.mark.agent_authored(model="gpt-5.6")
+def test_failed_definition_node_update_preserves_state(
+    definition_update_case,
+):
+    case = definition_update_case
+
+    assert case.invalid_update is not None
+    assert case.invalid_exception is not None
+    with pytest.raises(case.invalid_exception):
+        case.invalid_update()
+
+    case.assert_current(case.original)
+    graph = case.graph_def.instantiate()
+    case.assert_exec_uses(graph, case.original)
+
+
+@pytest.mark.agent_authored(model="gpt-5.6")
+def test_definition_node_update_rejects_wrong_type(
+    definition_update_case,
+):
+    if definition_update_case.invalid_argument_update is None:
+        pytest.skip("update method has no typed positional argument")
+    with pytest.raises(TypeError):
+        definition_update_case.invalid_argument_update()
+
+
+@pytest.mark.agent_authored(model="gpt-5.6")
+def test_executable_node_update_changes_existing_exec(
+    definition_update_case,
+):
+    case = definition_update_case
+    graph = case.graph_def.instantiate()
+
+    _update_executable_case(graph, case)
+
+    case.assert_current(case.original)
+    case.assert_exec_uses(graph, case.replacement)
+
+
+@pytest.mark.parametrize("node_kind", ["kernel", "memcpy", "memset"])
+@pytest.mark.agent_authored(model="gpt-5.6")
+def test_executable_node_enable_state(init_cuda, node_kind):
+    if driver_version() < (12, 2, 0):
+        pytest.skip("individual graph node updates require CUDA 12.2+")
+
+    graph_def = GraphDefinition()
+    if node_kind == "kernel":
+        kernel = compile_common_kernels().get_kernel("empty_kernel")
+        node = graph_def.launch(LaunchConfig(grid=1, block=1), kernel)
+    else:
+        memory_resource = LegacyPinnedMemoryResource()
+        src = memory_resource.allocate(4)
+        dst = memory_resource.allocate(4)
+        if node_kind == "memcpy":
+            node = graph_def.memcpy(dst, src, 4)
+        else:
+            node = graph_def.memset(dst, 0, 4)
+
+    view = graph_def.instantiate()[node]
+    assert view.is_enabled
+    view.disable()
+    assert not view.is_enabled
+    view.disable()
+    assert not view.is_enabled
+    view.enable()
+    assert view.is_enabled
+    view.enable()
+    assert view.is_enabled
+
+
+@pytest.mark.agent_authored(model="gpt-5.6")
+def test_executable_node_view_rejects_unsupported_and_destroyed_nodes(
+    init_cuda,
+):
+    if driver_version() < (12, 2, 0):
+        pytest.skip("individual graph node updates require CUDA 12.2+")
+
+    kernel = compile_common_kernels().get_kernel("empty_kernel")
+    graph_def = GraphDefinition()
+    empty = graph_def.empty()
+    kernel_node = graph_def.launch(LaunchConfig(grid=1, block=1), kernel)
+    graph = graph_def.instantiate()
+
+    with pytest.raises(TypeError, match="does not support executable updates"):
+        graph[empty]
+    with pytest.raises(TypeError):
+        graph[object()]
+
+    kernel_node.destroy()
+    with pytest.raises(ValueError, match="no longer valid"):
+        graph[kernel_node]
+
+
+@pytest.mark.agent_authored(model="gpt-5.6")
+def test_executable_node_view_retains_source_only_while_live(init_cuda):
+    if driver_version() < (12, 2, 0):
+        pytest.skip("individual graph node updates require CUDA 12.2+")
+
+    called = []
+
+    def original():
+        called.append("original")
+
+    def replacement():
+        called.append("replacement")
+
+    source = GraphDefinition()
+    node = source.callback(original)
+    source_weak = weak_handle(source)
+    graph = source.instantiate()
+    view = graph[node]
+
+    del source, node
+    gc.collect()
+    assert source_weak
+
+    view.update(replacement)
+    del view
+    _wait_until(lambda: not source_weak)
+
+    stream = init_cuda.create_stream()
+    graph.launch(stream)
+    stream.sync()
+    assert called == ["replacement"]
+
+
+@pytest.mark.agent_authored(model="gpt-5.6")
+def test_executable_attachment_accumulators_are_independent(init_cuda):
+    if driver_version() < (12, 2, 0):
+        pytest.skip("individual graph node updates require CUDA 12.2+")
+
+    called = []
+
+    def original():
+        called.append("original")
+
+    def first_replacement():
+        called.append("first")
+
+    def second_replacement():
+        called.append("second")
+
+    first_weak = weakref.ref(first_replacement)
+    second_weak = weakref.ref(second_replacement)
+    source = GraphDefinition()
+    node = source.callback(original)
+    first = source.instantiate()
+    second = source.instantiate()
+
+    first[node].update(first_replacement)
+    second[node].update(second_replacement)
+    del first_replacement, second_replacement, original, node, source
+    gc.collect()
+    assert first_weak() is not None
+    assert second_weak() is not None
+
+    stream = init_cuda.create_stream()
+    first.launch(stream)
+    second.launch(stream)
+    stream.sync()
+    assert called == ["first", "second"]
+
+    del first
+    _wait_until(lambda: first_weak() is None)
+    assert second_weak() is not None
+
+    del second
+    _wait_until(lambda: second_weak() is None)
+
+
+@pytest.mark.agent_authored(model="gpt-5.6")
+def test_rejected_executable_update_rolls_back_owners(init_cuda):
+    if driver_version() < (12, 2, 0):
+        pytest.skip("individual graph node updates require CUDA 12.2+")
+
+    kernel = compile_common_kernels().get_kernel("add_one")
+    config = LaunchConfig(grid=1, block=1)
+    memory_resource = LegacyPinnedMemoryResource()
+    active = memory_resource.allocate(ctypes.sizeof(ctypes.c_int))
+    rejected = memory_resource.allocate(ctypes.sizeof(ctypes.c_int))
+    ctypes.c_int.from_address(int(active.handle)).value = 0
+    rejected_weak = weak_handle(rejected)
+
+    source = GraphDefinition()
+    source.launch(config, kernel, active)
+    graph = source.instantiate()
+    unrelated = GraphDefinition()
+    unrelated_node = unrelated.launch(config, kernel, active)
+
+    with pytest.raises(CUDAError):
+        graph[unrelated_node].update(config=config, kernel=kernel, args=(rejected,))
+
+    del rejected
+    _wait_until(lambda: not rejected_weak)
+
+    stream = init_cuda.create_stream()
+    graph.launch(stream)
+    stream.sync()
+    assert ctypes.c_int.from_address(int(active.handle)).value == 1
+
+
+@pytest.mark.agent_authored(model="gpt-5.6")
+def test_whole_update_replaces_executable_attachment_accumulator(init_cuda):
+    if driver_version() < (12, 2, 0):
+        pytest.skip("individual graph node updates require CUDA 12.2+")
+
+    called = []
+
+    def original():
+        called.append("original")
+
+    def individual():
+        called.append("individual")
+
+    def whole():
+        called.append("whole")
+
+    individual_weak = weakref.ref(individual)
+    source = GraphDefinition()
+    node = source.callback(original)
+    graph = source.instantiate()
+    graph[node].update(individual)
+
+    replacement = GraphDefinition()
+    replacement.callback(whole)
+    del individual
+    graph.update(replacement)
+    _wait_until(lambda: individual_weak() is None)
+
+    stream = init_cuda.create_stream()
+    graph.launch(stream)
+    stream.sync()
+    assert called == ["whole"]
+
+
+@pytest.mark.agent_authored(model="gpt-5.6")
+def test_failed_whole_update_preserves_executable_accumulator(init_cuda):
+    if driver_version() < (12, 2, 0):
+        pytest.skip("individual graph node updates require CUDA 12.2+")
+
+    called = []
+
+    def original():
+        called.append("original")
+
+    def active():
+        called.append("active")
+
+    active_weak = weakref.ref(active)
+    source = GraphDefinition()
+    node = source.callback(original)
+    graph = source.instantiate()
+    graph[node].update(active)
+
+    rejected = GraphDefinition()
+    rejected.callback(lambda: called.append("rejected"))
+    rejected.empty()
+    with pytest.raises(CUDAError):
+        graph.update(rejected)
+
+    del active, original, node, source, rejected
+    gc.collect()
+    assert active_weak() is not None
+
+    stream = init_cuda.create_stream()
+    graph.launch(stream)
+    stream.sync()
+    assert called == ["active"]
+
+    del graph
+    _wait_until(lambda: active_weak() is None)
+
+
+@pytest.mark.agent_authored(model="gpt-5.6")
+def test_inflight_launch_defers_replaced_executable_owners(init_cuda):
+    if driver_version() < (12, 2, 0):
+        pytest.skip("individual graph node updates require CUDA 12.2+")
+
+    callback_started = threading.Event()
+    callback_release = threading.Event()
+
+    def blocking_callback():
+        callback_started.set()
+        assert callback_release.wait(timeout=30)
+
+    kernel = compile_common_kernels().get_kernel("add_one")
+    config = LaunchConfig(grid=1, block=1)
+    memory_resource = LegacyPinnedMemoryResource()
+    original = memory_resource.allocate(ctypes.sizeof(ctypes.c_int))
+    inflight = memory_resource.allocate(ctypes.sizeof(ctypes.c_int))
+    future = memory_resource.allocate(ctypes.sizeof(ctypes.c_int))
+    inflight_weak = weak_handle(inflight)
+
+    source = GraphDefinition()
+    kernel_node = source.callback(blocking_callback).launch(config, kernel, original)
+    graph = source.instantiate()
+    graph[kernel_node].update(config=config, kernel=kernel, args=(inflight,))
+    del inflight
+    gc.collect()
+    assert inflight_weak
+
+    replacement = GraphDefinition()
+    replacement.callback(lambda: None).launch(config, kernel, future)
+    stream = init_cuda.create_stream()
+    graph.launch(stream)
+    assert callback_started.wait(timeout=5)
+
+    try:
+        graph.update(replacement)
+        gc.collect()
+        assert inflight_weak
+    finally:
+        callback_release.set()
+        stream.sync()
+
+    _wait_until(lambda: not inflight_weak)
+
+
+@pytest.mark.agent_authored(model="claude-opus-5")
+def test_sequential_executable_updates_accumulate_owners(init_cuda):
+    if driver_version() < (12, 2, 0):
+        pytest.skip("individual graph node updates require CUDA 12.2+")
+
+    called = []
+
+    def original():
+        called.append("original")
+
+    def first():
+        called.append("first")
+
+    def second():
+        called.append("second")
+
+    first_weak = weakref.ref(first)
+    second_weak = weakref.ref(second)
+    source = GraphDefinition()
+    node = source.callback(original)
+    graph = source.instantiate()
+
+    graph[node].update(first)
+    graph[node].update(second)
+
+    # CUDA cannot detach user objects from an executable graph, so the
+    # superseded owner stays reachable for as long as the executable lives.
+    del first, second, original
+    gc.collect()
+    assert first_weak() is not None
+    assert second_weak() is not None
+
+    stream = init_cuda.create_stream()
+    graph.launch(stream)
+    stream.sync()
+    assert called == ["second"]
+
+    del node, source, graph
+    _wait_until(lambda: first_weak() is None and second_weak() is None)
+
+
+@pytest.mark.agent_authored(model="claude-opus-5")
+def test_child_graph_update_transfers_source_owners_to_executable(init_cuda):
+    if driver_version() < (12, 2, 0):
+        pytest.skip("individual graph node updates require CUDA 12.2+")
+
+    called = []
+
+    def original():
+        called.append("original")
+
+    def replacement():
+        called.append("replacement")
+
+    original_child = GraphDefinition()
+    original_child.callback(original)
+    source = GraphDefinition()
+    node = source.embed(original_child)
+    graph = source.instantiate()
+
+    replacement_child = GraphDefinition()
+    replacement_child.callback(replacement)
+    graph[node].update(replacement_child)
+
+    replacement_weak = weakref.ref(replacement)
+    child_weak = weak_handle(replacement_child)
+
+    # A child-graph update is the one executable update that attaches no owner
+    # of its own. It is safe because CUDA clones the replacement graph's user
+    # object references into the executable, so the callback must outlive the
+    # definition that supplied it.
+    del replacement_child, replacement
+    _wait_until(lambda: not child_weak)
+    assert replacement_weak() is not None
+
+    stream = init_cuda.create_stream()
+    graph.launch(stream)
+    stream.sync()
+    assert called == ["replacement"]
+
+    del graph
+    _wait_until(lambda: replacement_weak() is None)
+
+
+@pytest.mark.agent_authored(model="claude-opus-5")
+def test_closing_executable_during_launch_defers_owner_release(init_cuda):
+    if driver_version() < (12, 2, 0):
+        pytest.skip("individual graph node updates require CUDA 12.2+")
+
+    callback_started = threading.Event()
+    callback_release = threading.Event()
+
+    def blocking_callback():
+        callback_started.set()
+        assert callback_release.wait(timeout=30)
+
+    kernel = compile_common_kernels().get_kernel("add_one")
+    config = LaunchConfig(grid=1, block=1)
+    memory_resource = LegacyPinnedMemoryResource()
+    original = memory_resource.allocate(ctypes.sizeof(ctypes.c_int))
+    inflight = memory_resource.allocate(ctypes.sizeof(ctypes.c_int))
+    inflight_weak = weak_handle(inflight)
+
+    source = GraphDefinition()
+    kernel_node = source.callback(blocking_callback).launch(config, kernel, original)
+    graph = source.instantiate()
+    graph[kernel_node].update(config=config, kernel=kernel, args=(inflight,))
+    del inflight
+    gc.collect()
+    assert inflight_weak
+
+    stream = init_cuda.create_stream()
+    graph.launch(stream)
+    assert callback_started.wait(timeout=5)
+
+    try:
+        # The launch still writes through the buffer the update attached, so
+        # closing the executable must not retire the accumulator yet.
+        graph.close()
+        gc.collect()
+        assert inflight_weak
+    finally:
+        callback_release.set()
+        stream.sync()
+
+    _wait_until(lambda: not inflight_weak)
diff --git a/cuda_core/tests/graph/test_graph_update.py b/cuda_core/tests/graph/test_graph_update.py
index 13513830944..54a04863cf4 100644
--- a/cuda_core/tests/graph/test_graph_update.py
+++ b/cuda_core/tests/graph/test_graph_update.py
@@ -9,8 +9,8 @@
 
 import numpy as np
 import pytest
+from cuda_python_test_helpers.marks import requires_module
 from helpers.graph_kernels import compile_common_kernels, compile_conditional_kernels
-from helpers.marks import requires_module
 
 from cuda.core import Device, LaunchConfig, LegacyPinnedMemoryResource, launch
 from cuda.core._utils.cuda_utils import CUDAError
diff --git a/cuda_core/tests/helpers/__init__.py b/cuda_core/tests/helpers/__init__.py
index 5ce5ab7f05b..2305cfaa1e5 100644
--- a/cuda_core/tests/helpers/__init__.py
+++ b/cuda_core/tests/helpers/__init__.py
@@ -3,7 +3,6 @@
 
 import functools
 import os
-from typing import Union
 
 from cuda.core._utils.cuda_utils import handle_return
 from cuda.pathfinder import get_cuda_path_or_home
@@ -23,7 +22,7 @@
 
 
 @functools.cache
-def supports_ipc_mempool(device_id: Union[int, object]) -> bool:
+def supports_ipc_mempool(device_id: int | object) -> bool:
     """Return True if mempool IPC via POSIX file descriptor is supported.
 
     Uses cuDeviceGetAttribute(CU_DEVICE_ATTRIBUTE_MEMPOOL_SUPPORTED_HANDLE_TYPES)
diff --git a/cuda_core/tests/helpers/constants.py b/cuda_core/tests/helpers/constants.py
new file mode 100644
index 00000000000..f4ea61b1938
--- /dev/null
+++ b/cuda_core/tests/helpers/constants.py
@@ -0,0 +1,14 @@
+# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+
+"""Constants shared across the cuda_core test suite."""
+
+# Cap for memory pools created by tests. A pool created without an explicit
+# max_size instead reserves a system-dependent window that scales with
+# installed device memory -- hundreds of GiB on large-memory GPUs. The
+# per-process virtual address budget is bounded (~1 TB on Windows MCDM), and a
+# reservation is not returned until the pool is torn down and its
+# stream-ordered frees retire, so oversized windows accumulate across a session
+# and eventually starve later pool creations with CUDA_ERROR_OUT_OF_MEMORY
+# (issue #2381). See AGENTS.md in the tests directory.
+POOL_SIZE = 2097152  # 2 MiB
diff --git a/cuda_core/tests/helpers/graph_kernels.py b/cuda_core/tests/helpers/graph_kernels.py
index 54caedd165c..d08837585fe 100644
--- a/cuda_core/tests/helpers/graph_kernels.py
+++ b/cuda_core/tests/helpers/graph_kernels.py
@@ -19,15 +19,24 @@ def compile_common_kernels():
     Returns a module with:
     - empty_kernel: does nothing
     - add_one: increments an int pointer by 1
+    - write_launch_dims: encodes the launch dimensions in an int
     """
     code = """
     __global__ void empty_kernel() {}
     __global__ void add_one(int *a) { *a += 1; }
+    __global__ void write_launch_dims(int *a) {
+        if (blockIdx.x == 0 && threadIdx.x == 0) {
+            *a = gridDim.x * 1000 + blockDim.x;
+        }
+    }
     """
     arch = "".join(f"{i}" for i in Device().compute_capability)
     program_options = ProgramOptions(std="c++17", arch=f"sm_{arch}")
     prog = Program(code, code_type="c++", options=program_options)
-    mod = prog.compile("cubin", name_expressions=("empty_kernel", "add_one"))
+    mod = prog.compile(
+        "cubin",
+        name_expressions=("empty_kernel", "add_one", "write_launch_dims"),
+    )
     return mod
 
 
diff --git a/cuda_core/tests/memory/test_managed_ops.py b/cuda_core/tests/memory/test_managed_ops.py
index 33def77935f..ed7f44a97f4 100644
--- a/cuda_core/tests/memory/test_managed_ops.py
+++ b/cuda_core/tests/memory/test_managed_ops.py
@@ -4,9 +4,9 @@
 import mmap
 
 import pytest
+from conftest import create_managed_memory_resource_or_skip
 from helpers.buffers import DummyDeviceMemoryResource, DummyUnifiedMemoryResource
 
-from conftest import create_managed_memory_resource_or_skip
 from cuda.bindings import driver
 from cuda.core import Device, Host, ManagedBuffer
 from cuda.core._memory._managed_buffer import _get_int_attr
diff --git a/cuda_core/tests/memory_ipc/test_errors.py b/cuda_core/tests/memory_ipc/test_errors.py
index 40cbcc2826b..0aac9f9a297 100644
--- a/cuda_core/tests/memory_ipc/test_errors.py
+++ b/cuda_core/tests/memory_ipc/test_errors.py
@@ -7,14 +7,14 @@
 
 import pytest
 from helpers.child_processes import child_timeout_sec, kill_subprocesses
+from helpers.constants import POOL_SIZE
 
 from cuda.core import Buffer, Device, DeviceMemoryResource, DeviceMemoryResourceOptions
-from cuda.core._memory import IPCBufferDescriptor
+from cuda.core._memory._ipc import IPCBufferDescriptor
 from cuda.core._utils.cuda_utils import CUDAError
 
 CHILD_TIMEOUT_SEC = child_timeout_sec()
 NBYTES = 64
-POOL_SIZE = 2097152
 
 
 # these tests spawn new processes and files which fails for very many threads
diff --git a/cuda_core/tests/memory_ipc/test_ipc_duplicate_import.py b/cuda_core/tests/memory_ipc/test_ipc_duplicate_import.py
index eaa6ddec92f..dc3f5e57c33 100644
--- a/cuda_core/tests/memory_ipc/test_ipc_duplicate_import.py
+++ b/cuda_core/tests/memory_ipc/test_ipc_duplicate_import.py
@@ -20,7 +20,6 @@
 
 CHILD_TIMEOUT_SEC = child_timeout_sec()
 NBYTES = 64
-POOL_SIZE = 2097152
 
 ENABLE_LOGGING = False  # Set True for test debugging and development
 
diff --git a/cuda_core/tests/memory_ipc/test_peer_access.py b/cuda_core/tests/memory_ipc/test_peer_access.py
index ac7f71a88e9..4dc04a8bd0b 100644
--- a/cuda_core/tests/memory_ipc/test_peer_access.py
+++ b/cuda_core/tests/memory_ipc/test_peer_access.py
@@ -6,13 +6,13 @@
 import pytest
 from helpers.buffers import PatternGen
 from helpers.child_processes import child_timeout_sec, kill_subprocesses
+from helpers.constants import POOL_SIZE
 
 from cuda.core import Device, DeviceMemoryResource, DeviceMemoryResourceOptions
 from cuda.core._utils.cuda_utils import CUDAError
 
 CHILD_TIMEOUT_SEC = child_timeout_sec()
 NBYTES = 64
-POOL_SIZE = 2097152
 
 # these tests spawn new processes and files which fails for very many threads
 pytestmark = pytest.mark.parallel_threads_limit(4)
diff --git a/cuda_core/tests/memory_ipc/test_send_buffers.py b/cuda_core/tests/memory_ipc/test_send_buffers.py
index 59216cd9cce..efa4d8b2abc 100644
--- a/cuda_core/tests/memory_ipc/test_send_buffers.py
+++ b/cuda_core/tests/memory_ipc/test_send_buffers.py
@@ -7,6 +7,7 @@
 import pytest
 from helpers.buffers import PatternGen
 from helpers.child_processes import child_timeout_sec, kill_subprocesses
+from helpers.constants import POOL_SIZE
 
 from cuda.core import Device, DeviceMemoryResource, DeviceMemoryResourceOptions
 
@@ -14,7 +15,6 @@
 NBYTES = 64
 NMRS = 3
 NTASKS = 7
-POOL_SIZE = 2097152
 
 # these tests spawn new processes and files which fails for very many threads
 pytestmark = pytest.mark.parallel_threads_limit(4)
diff --git a/cuda_core/tests/memory_ipc/test_serialize.py b/cuda_core/tests/memory_ipc/test_serialize.py
index 4289de4b5a9..22596582c49 100644
--- a/cuda_core/tests/memory_ipc/test_serialize.py
+++ b/cuda_core/tests/memory_ipc/test_serialize.py
@@ -13,7 +13,6 @@
 
 CHILD_TIMEOUT_SEC = child_timeout_sec()
 NBYTES = 64
-POOL_SIZE = 2097152
 
 # these tests spawn new processes and files which fails for very many threads
 pytestmark = pytest.mark.parallel_threads_limit(4)
diff --git a/cuda_core/tests/memory_ipc/test_workerpool.py b/cuda_core/tests/memory_ipc/test_workerpool.py
index 358c16fd7bf..e358c043b00 100644
--- a/cuda_core/tests/memory_ipc/test_workerpool.py
+++ b/cuda_core/tests/memory_ipc/test_workerpool.py
@@ -7,6 +7,7 @@
 
 import pytest
 from helpers.buffers import PatternGen
+from helpers.constants import POOL_SIZE
 
 from cuda.core import Buffer, Device, DeviceMemoryResource, DeviceMemoryResourceOptions
 
@@ -14,7 +15,6 @@
 NWORKERS = 2
 NMRS = 3
 NTASKS = 20
-POOL_SIZE = 2097152
 
 # these tests spawn new processes and files which fails for very many threads
 pytestmark = pytest.mark.parallel_threads_limit(4)
diff --git a/cuda_core/tests/system/conftest.py b/cuda_core/tests/system/conftest.py
deleted file mode 100644
index 8708b3f06fc..00000000000
--- a/cuda_core/tests/system/conftest.py
+++ /dev/null
@@ -1,28 +0,0 @@
-# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
-#
-# SPDX-License-Identifier: Apache-2.0
-
-
-import pytest
-
-from cuda.core import system
-
-SHOULD_SKIP_NVML_TESTS = not system.CUDA_BINDINGS_NVML_IS_COMPATIBLE
-
-
-if system.CUDA_BINDINGS_NVML_IS_COMPATIBLE:
-    from cuda.bindings._test_helpers.arch_check import hardware_supports_nvml
-
-    SHOULD_SKIP_NVML_TESTS |= not hardware_supports_nvml()
-
-
-skip_if_nvml_unsupported = pytest.mark.skipif(
-    SHOULD_SKIP_NVML_TESTS,
-    reason="NVML support requires cuda.bindings version 12.9.6+ for CUDA 12.x or 13.2.0+ for CUDA 13.x, and hardware that supports NVML",
-)
-
-
-def unsupported_before(device, expected_device_arch):
-    from cuda.bindings._test_helpers.arch_check import unsupported_before as nvml_unsupported_before
-
-    return nvml_unsupported_before(device._handle, expected_device_arch)
diff --git a/cuda_core/tests/system/test_nvml_context.py b/cuda_core/tests/system/test_nvml_context.py
index 16bc97f385c..03c3fbefe8b 100644
--- a/cuda_core/tests/system/test_nvml_context.py
+++ b/cuda_core/tests/system/test_nvml_context.py
@@ -1,9 +1,9 @@
-# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 #
 # SPDX-License-Identifier: Apache-2.0
 
 
-from .conftest import skip_if_nvml_unsupported
+from cuda_python_test_helpers.arch_check import skip_if_nvml_unsupported
 
 pytestmark = skip_if_nvml_unsupported
 
diff --git a/cuda_core/tests/system/test_system_device.py b/cuda_core/tests/system/test_system_device.py
index 29246aa1ce4..2ec2d5fb41c 100644
--- a/cuda_core/tests/system/test_system_device.py
+++ b/cuda_core/tests/system/test_system_device.py
@@ -3,7 +3,7 @@
 # SPDX-License-Identifier: Apache-2.0
 
 
-from .conftest import skip_if_nvml_unsupported, unsupported_before
+from cuda_python_test_helpers.arch_check import skip_if_nvml_unsupported, unsupported_before
 
 pytestmark = skip_if_nvml_unsupported
 
@@ -687,6 +687,7 @@ def test_cooler():
         assert all(isinstance(t, typing.CoolerTarget) for t in target)
 
 
+@pytest.mark.filterwarnings("ignore::DeprecationWarning")
 def test_temperature():
     for device in system.Device.get_all_devices():
         temperature = device.temperature
@@ -698,6 +699,9 @@ def test_temperature():
 
         # By docs, should be supported on KEPLER or newer, but experimentally,
         # is also unsupported on other hardware.
+        # get_threshold emits DeprecationWarning for some thresholds on Ada+;
+        # that behaviour is tested separately in
+        # test_temperature_threshold_unrecognized_device_arch.
         with unsupported_before(device, None):
             for threshold in list(typing.TemperatureThresholds):
                 t = temperature.get_threshold(threshold)
@@ -725,6 +729,58 @@ def test_temperature():
             assert sensor.default_min_temp <= sensor.current_temp <= sensor.default_max_temp
 
 
+@pytest.mark.thread_unsafe(reason="Temporarily replaces process-global NVML functions")
+@pytest.mark.agent_authored(model="gpt-5.6-sol")
+def test_temperature_threshold_unrecognized_device_arch(monkeypatch):
+    temperature = system.Device(index=0).temperature
+    unrecognized_arch = int(nvml.DeviceArch.UNKNOWN) - 1
+    with pytest.raises(ValueError):
+        nvml.DeviceArch(unrecognized_arch)
+
+    monkeypatch.setattr(nvml, "device_get_architecture", lambda _handle: unrecognized_arch)
+    monkeypatch.setattr(
+        nvml,
+        "device_get_temperature_threshold",
+        lambda _handle, _threshold: 42,
+    )
+
+    with pytest.warns(DeprecationWarning, match="no longer recommended"):
+        assert temperature.get_threshold(typing.TemperatureThresholds.SHUTDOWN) == 42
+
+
+@pytest.mark.agent_authored(model="claude-opus-4.8")
+def test_temperature_arg_validation():
+    # Both getters reject an unknown key before issuing any NVML call.
+    temperature = system.Device(index=0).temperature
+    with pytest.raises(ValueError, match="Invalid temperature threshold type"):
+        temperature.get_threshold("not-a-threshold")
+    with pytest.raises(ValueError, match="Invalid thermal sensor index"):
+        temperature.get_thermal_settings("not-a-sensor")
+
+
+@pytest.mark.agent_authored(model="claude-opus-4.8")
+def test_device_constructor_selector_validation():
+    # The constructor requires exactly one selector, rejected before NVML is touched.
+    with pytest.raises(ValueError, match="only one of"):
+        system.Device(index=0, uuid="ignored")
+    with pytest.raises(ValueError, match="either a device"):
+        system.Device()
+
+
+@pytest.mark.agent_authored(model="claude-opus-4.8")
+def test_device_arg_validation():
+    device = system.Device(index=0)
+    # Each argument validator raises before reaching the driver/NVML call.
+    with pytest.raises(ValueError, match="Invalid affinity scope"):
+        device.get_memory_affinity("not-a-scope")
+    with pytest.raises(ValueError, match="Invalid affinity scope"):
+        device.get_cpu_affinity("not-a-scope")
+    with pytest.raises(ValueError, match="Invalid topology level"):
+        list(device.get_topology_nearest_gpus("not-a-level"))
+    with pytest.raises(ValueError, match="Invalid P2P caps index"):
+        system.get_p2p_status(device, device, "not-an-index")
+
+
 def test_pstates():
     for device in system.Device.get_all_devices():
         with unsupported_before(device, None):
diff --git a/cuda_core/tests/system/test_system_events.py b/cuda_core/tests/system/test_system_events.py
index ce204001a4e..d2684bebd0b 100644
--- a/cuda_core/tests/system/test_system_events.py
+++ b/cuda_core/tests/system/test_system_events.py
@@ -3,7 +3,7 @@
 # SPDX-License-Identifier: Apache-2.0
 
 
-from .conftest import skip_if_nvml_unsupported
+from cuda_python_test_helpers.arch_check import skip_if_nvml_unsupported
 
 pytestmark = skip_if_nvml_unsupported
 
diff --git a/cuda_core/tests/system/test_system_system.py b/cuda_core/tests/system/test_system_system.py
index 460078918f5..28173836ff4 100644
--- a/cuda_core/tests/system/test_system_system.py
+++ b/cuda_core/tests/system/test_system_system.py
@@ -6,13 +6,12 @@
 import os
 
 import pytest
+from cuda_python_test_helpers.arch_check import skip_if_nvml_unsupported
 
 from cuda.bindings import driver
 from cuda.core import system
 from cuda.core._utils.cuda_utils import handle_return
 
-from .conftest import skip_if_nvml_unsupported
-
 
 def test_user_mode_driver_version():
     umd = system.get_user_mode_driver_version()
diff --git a/cuda_core/tests/test_api_docs_consistency.py b/cuda_core/tests/test_api_docs_consistency.py
new file mode 100644
index 00000000000..053fc93d6cd
--- /dev/null
+++ b/cuda_core/tests/test_api_docs_consistency.py
@@ -0,0 +1,240 @@
+# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+#
+# SPDX-License-Identifier: Apache-2.0
+
+"""Consistency checks between the public ``__all__`` surface and the API docs.
+
+Covers the flat ``cuda.core`` namespace and every public submodule
+(``checkpoint``, ``graph``, ``system``, ``texture``, ``typing``, ``utils``,
+and any added later) discovered automatically from ``cuda.core.__path__``.
+For each public namespace, exported ``__all__`` names must appear somewhere
+in ``cuda_core/docs/source``.
+
+The enforced direction is deliberately one-way (public export -> documented).
+This is intentionally a *name-presence* check, and it does not verify:
+
+- the reverse direction (documented -> exported): documenting a private or
+  internal symbol on any page is allowed, so a documented name is never
+  required to be public;
+- signatures, docstrings, parameter lists, or rendered output: only that each
+  exported name appears as a documented entry;
+- whether an entry is marked ``:no-index:`` or deprecated: such entries still
+  count as documented;
+- class members or attributes nested below the namespace level: only top-level
+  names of each namespace are matched (entries deeper than
+  ``<subpackage>.<name>`` are ignored);
+- docs outside the top-level ``docs/source/*.rst`` files: nested pages are not
+  scanned.
+"""
+
+import collections
+import importlib
+import io
+import pathlib
+import pkgutil
+import re
+
+import pytest
+from docutils import nodes
+from docutils.core import publish_doctree
+from docutils.parsers.rst import Directive, directives
+
+import cuda.core
+
+DOCS_SOURCE_DIR = pathlib.Path(__file__).resolve().parent.parent / "docs" / "source"
+
+# ``cuda.core`` ships a versioned wheel shim as ``cu12`` / ``cu13`` subpackages;
+# those are an internal packaging mechanism, not public API.
+_VERSIONED_SUBPACKAGE = re.compile(r"^cu\d+$")
+
+PUBLIC_SUBMODULES = sorted(
+    name
+    for _, name, ispkg in pkgutil.iter_modules(cuda.core.__path__)
+    if not name.startswith("_") and not _VERSIONED_SUBPACKAGE.match(name)
+)
+
+
+class _ModuleNode(nodes.Element):
+    pass
+
+
+class _AutosummaryNode(nodes.Element):
+    pass
+
+
+class _DataNode(nodes.Element):
+    pass
+
+
+class _ModuleDirective(Directive):
+    required_arguments = 1
+    final_argument_whitespace = False
+    has_content = True
+    option_spec = {
+        "deprecated": directives.unchanged,
+        "no-index": directives.flag,
+        "platform": directives.unchanged,
+        "synopsis": directives.unchanged,
+    }
+
+    def run(self):
+        node = _ModuleNode()
+        node["module"] = self.arguments[0].strip()
+        self.state.nested_parse(self.content, self.content_offset, node)
+        return [node]
+
+
+class _AutosummaryDirective(Directive):
+    has_content = True
+    option_spec = {
+        "caption": directives.unchanged,
+        "nosignatures": directives.flag,
+        "recursive": directives.flag,
+        "template": directives.unchanged,
+        "toctree": directives.unchanged,
+    }
+
+    def run(self):
+        node = _AutosummaryNode()
+        node["entries"] = [entry for line in self.content if (entry := line.strip()) and not entry.startswith(":")]
+        return [node]
+
+
+class _DataDirective(Directive):
+    required_arguments = 1
+    final_argument_whitespace = True
+    has_content = True
+    option_spec = {
+        "annotation": directives.unchanged,
+        "no-index": directives.flag,
+        "type": directives.unchanged,
+        "value": directives.unchanged,
+    }
+
+    def run(self):
+        node = _DataNode()
+        node["name"] = self.arguments[0].strip()
+        return [node]
+
+
+# These patch the global docutils directive registry for the process lifetime.
+# Safe as long as no other test module in the same session uses docutils or
+# Sphinx with the real autosummary/module/data directives. If that ever changes,
+# move these calls into a session-scoped autouse fixture that saves and restores
+# the previous mapping.
+directives.register_directive("autosummary", _AutosummaryDirective)
+directives.register_directive("currentmodule", _ModuleDirective)
+directives.register_directive("data", _DataDirective)
+directives.register_directive("module", _ModuleDirective)
+
+
+def _iter_documented_entries(rst_path):
+    """Yield (module, entry) pairs from Sphinx directives in an RST file."""
+    doctree = publish_doctree(
+        rst_path.read_text(),
+        source_path=str(rst_path),
+        settings_overrides={
+            "halt_level": 6,
+            "report_level": 5,
+            "warning_stream": io.StringIO(),
+        },
+    )
+    module = None
+    for node in doctree.findall():
+        if isinstance(node, _ModuleNode):
+            module = node["module"]
+        elif isinstance(node, _AutosummaryNode):
+            for entry in node["entries"]:
+                yield module, entry
+        elif isinstance(node, _DataNode):
+            yield module, node["name"]
+
+
+def _add_documented_name(documented, module, entry):
+    if not module or not module.startswith("cuda.core"):
+        return
+    if module == "cuda.core":
+        if "." not in entry:
+            documented[module].add(entry)
+            return
+        sub, name = entry.split(".", 1)
+        if sub in PUBLIC_SUBMODULES and "." not in name:
+            documented[f"cuda.core.{sub}"].add(name)
+        return
+    if module.startswith("cuda.core."):
+        namespace = module
+        if namespace in PUBLIC_NAMESPACES and "." not in entry:
+            documented[namespace].add(entry)
+
+
+def _documented_names(docs_dir, *, exclude=frozenset()):
+    documented = collections.defaultdict(set)
+    for rst_path in docs_dir.glob("*.rst"):
+        if rst_path.name in exclude:
+            continue
+        for module, entry in _iter_documented_entries(rst_path):
+            _add_documented_name(documented, module, entry)
+    return documented
+
+
+PUBLIC_NAMESPACES = ("cuda.core", *(f"cuda.core.{sub}" for sub in PUBLIC_SUBMODULES))
+
+
+@pytest.fixture(scope="module")
+def exported():
+    if not hasattr(cuda.core, "__all__"):
+        pytest.skip("cuda.core does not define __all__")
+    return set(cuda.core.__all__)
+
+
+@pytest.fixture(scope="module")
+def docs_dir():
+    if not DOCS_SOURCE_DIR.is_dir():
+        pytest.skip("docs sources not available (not running from a source checkout)")
+    return DOCS_SOURCE_DIR
+
+
+@pytest.fixture(scope="module")
+def documented(docs_dir):
+    return _documented_names(docs_dir)
+
+
+@pytest.mark.human_authored
+def test_public_submodules_discovered():
+    # Guards against a broken __path__ walk silently turning every
+    # parametrized submodule check into a no-op.
+    assert PUBLIC_SUBMODULES, "no public cuda.core submodules were discovered"
+
+
+@pytest.mark.human_authored
+def test_main_package_all_exports_resolve():
+    assert hasattr(cuda.core, "__all__"), "cuda.core does not define __all__"
+    missing = [name for name in cuda.core.__all__ if not hasattr(cuda.core, name)]
+    assert missing == [], f"cuda.core.__all__ lists names that do not resolve: {missing}"
+
+
+@pytest.mark.human_authored
+def test_main_package_symbols_are_documented(exported, documented):
+    documented = documented["cuda.core"]
+    undocumented = exported - documented
+    assert not undocumented, f"public by cuda.core.__all__ but missing from docs/source/*.rst: {sorted(undocumented)}"
+
+
+@pytest.mark.parametrize("sub", PUBLIC_SUBMODULES)
+def test_subpackage_symbols_define_all(sub):
+    module = importlib.import_module(f"cuda.core.{sub}")
+    assert hasattr(module, "__all__"), f"cuda.core.{sub} does not define __all__"
+    missing = [name for name in module.__all__ if not hasattr(module, name)]
+    assert missing == [], f"cuda.core.{sub}.__all__ lists names that do not resolve: {missing}"
+
+
+@pytest.mark.human_authored
+@pytest.mark.parametrize("sub", PUBLIC_SUBMODULES)
+def test_subpackage_exports_are_documented(sub, documented):
+    documented = documented[f"cuda.core.{sub}"]
+    module = importlib.import_module(f"cuda.core.{sub}")
+    exported = set(module.__all__)
+    undocumented = exported - documented
+    assert not undocumented, (
+        f"public by cuda.core.{sub}.__all__ but missing from docs/source/*.rst: {sorted(undocumented)}"
+    )
diff --git a/cuda_core/tests/test_build_hooks.py b/cuda_core/tests/test_build_hooks.py
index 121ed1be053..c08ad4cd3c5 100644
--- a/cuda_core/tests/test_build_hooks.py
+++ b/cuda_core/tests/test_build_hooks.py
@@ -16,6 +16,7 @@
 These tests require Cython to be installed (build_hooks.py imports it).
 """
 
+import builtins
 import importlib.util
 import os
 import tempfile
@@ -50,6 +51,35 @@ def _load_build_hooks():
 build_hooks = _load_build_hooks()
 
 
+@pytest.mark.agent_authored(model="gpt-5.6")
+def test_cuda_path_is_resolved_before_importing_bindings(monkeypatch):
+    """PEP 517 namespace repair runs before cuda.bindings is imported."""
+    events = []
+
+    class StopBuildError(Exception):
+        pass
+
+    def get_cuda_path():
+        events.append("cuda-path")
+        return "/cuda"
+
+    original_import = builtins.__import__
+
+    def stop_at_bindings_import(name, *args, **kwargs):
+        if name == "cuda.bindings":
+            events.append("cuda-bindings")
+            raise StopBuildError
+        return original_import(name, *args, **kwargs)
+
+    monkeypatch.setattr(build_hooks, "_get_cuda_path", get_cuda_path)
+    monkeypatch.setattr(builtins, "__import__", stop_at_bindings_import)
+
+    with pytest.raises(StopBuildError):
+        build_hooks._build_cuda_core()
+
+    assert events == ["cuda-path", "cuda-bindings"]
+
+
 def _check_version_detection(
     cuda_version, expected_major, *, use_cuda_path=True, use_cuda_home=False, cuda_core_build_major=None
 ):
diff --git a/cuda_core/tests/test_checkpoint.py b/cuda_core/tests/test_checkpoint.py
index 5e70a162320..ff727eb9fff 100644
--- a/cuda_core/tests/test_checkpoint.py
+++ b/cuda_core/tests/test_checkpoint.py
@@ -409,6 +409,145 @@ def test_pid_is_read_only(self):
             proc.pid = 2
 
 
+# -- Pure helpers (no GPU / driver needed) ---------------------------------
+
+import ctypes
+
+from cuda.bindings import driver as _bindings_driver
+
+# The checkpoint functions, structs, and enums are generated and shipped
+# together from the same CUDA headers, so probe them as one atomic API surface.
+_HAS_CHECKPOINT_BINDINGS = all(hasattr(_bindings_driver, name) for name in checkpoint._REQUIRED_BINDING_ATTRS)
+
+needs_checkpoint_bindings = pytest.mark.skipif(
+    not _HAS_CHECKPOINT_BINDINGS,
+    reason="cuda.bindings does not expose the CUDA checkpoint API",
+)
+
+
+@pytest.mark.agent_authored(model="claude-opus-4.8")
+class TestCheckpointHelpers:
+    """Host-only tests for the arg-validation and struct-marshalling helpers.
+
+    The driver-backed lifecycle/migration scenarios skip without a checkpoint-capable
+    Linux driver, so these are the only coverage of these helpers on most CI.
+    """
+
+    @pytest.mark.parametrize(
+        ("value", "error_type", "match"),
+        [
+            (True, TypeError, "timeout_ms must be an int"),
+            (1.5, TypeError, "timeout_ms must be an int"),
+            ("0", TypeError, "timeout_ms must be an int"),
+            (-1, ValueError, "timeout_ms must be >= 0"),
+        ],
+    )
+    def test_check_timeout_ms_rejects_invalid(self, value, error_type, match):
+        with pytest.raises(error_type, match=match):
+            checkpoint._check_timeout_ms(value)
+
+    def test_make_restore_args_rejects_non_mapping(self):
+        with pytest.raises(TypeError, match="gpu_mapping must be a mapping"):
+            checkpoint._make_restore_args(_bindings_driver, [("a", "b")])
+
+    def test_make_restore_args_empty_mapping_returns_none(self):
+        # An empty mapping produces no GPU pairs, so there is nothing to restore.
+        assert checkpoint._make_restore_args(_bindings_driver, {}) is None
+
+    @needs_checkpoint_bindings
+    def test_make_restore_args_builds_pairs(self):
+        old = "00000000-0000-0000-0000-000000000001"
+        new = "00000000-0000-0000-0000-000000000002"
+        args = checkpoint._make_restore_args(_bindings_driver, {old: new})
+        assert isinstance(args, _bindings_driver.CUcheckpointRestoreArgs)
+        assert args.gpuPairsCount == 1
+        # The pair must map old->new in that order (not swapped or duplicated).
+        pair = args.gpuPairs[0]
+        assert bytes(pair.oldUuid.bytes) == bytes.fromhex(old.replace("-", ""))
+        assert bytes(pair.newUuid.bytes) == bytes.fromhex(new.replace("-", ""))
+
+    @pytest.mark.parametrize(
+        ("value", "match"),
+        [
+            ("not-hex-zz", "32 hex characters"),
+            ("00", "32 hex characters"),  # valid hex but wrong length (1 byte)
+        ],
+    )
+    def test_as_cuuuid_rejects_bad_strings(self, value, match):
+        with pytest.raises(ValueError, match=match):
+            checkpoint._as_cuuuid(_bindings_driver, value, [])
+
+    def test_as_cuuuid_rejects_wrong_type(self):
+        with pytest.raises(TypeError, match="must be CUDA UUID objects or UUID strings"):
+            checkpoint._as_cuuuid(_bindings_driver, 12345, [])
+
+    @pytest.mark.parametrize(
+        "value",
+        [
+            "0123456789abcdef0123456789abcdef",  # bare 32 hex chars
+            "01234567-89ab-cdef-0123-456789abcdef",  # hyphenated form (Device.uuid style)
+        ],
+    )
+    def test_as_cuuuid_from_string_decodes_bytes_and_appends_backing_buffer(self, value):
+        buffers = []
+        result = checkpoint._as_cuuuid(_bindings_driver, value, buffers)
+        assert isinstance(result, _bindings_driver.CUuuid)
+        # Stripped hex must decode to the exact 16 CUuuid bytes (guards fromhex/replace).
+        assert bytes(result.bytes) == bytes.fromhex(value.replace("-", ""))
+        # _as_cuuuid appends the backing ctypes buffer to the caller's list so it survives
+        # until the caller copies the bytes into the pair struct.
+        assert len(buffers) == 1
+        assert isinstance(buffers[0], ctypes.Array)
+
+    def test_as_cuuuid_passes_through_cuuuid_instance(self):
+        existing = _bindings_driver.CUuuid()
+        # An already-constructed CUuuid is returned unchanged and adds no buffer.
+        buffers = []
+        assert checkpoint._as_cuuuid(_bindings_driver, existing, buffers) is existing
+        assert buffers == []
+
+
+@pytest.mark.agent_authored(model="claude-opus-4.8")
+class TestCheckpointDriverDispatch:
+    """Driver-dispatch (_call_driver) result-code / exception translation.
+
+    _call_driver runs against a boundary-mock ``func`` (dependency-injected as its
+    argument) so the translation branches exercise without a live driver — the real
+    ``checkpoint._driver`` still supplies the CUresult enum.
+    """
+
+    @pytest.mark.parametrize("err_name", ["CUDA_ERROR_NOT_FOUND", "CUDA_ERROR_NOT_SUPPORTED"])
+    def test_call_driver_translates_unsupported_result_codes(self, err_name):
+        """NOT_FOUND / NOT_SUPPORTED become the 'not supported by the installed NVIDIA driver' RuntimeError."""
+        driver = checkpoint._driver
+
+        def fake(*args):
+            return (getattr(driver.CUresult, err_name),)
+
+        with pytest.raises(RuntimeError, match="not supported by the installed NVIDIA driver"):
+            checkpoint._call_driver(driver, fake)
+
+    def test_call_driver_translates_missing_symbol_runtimeerror(self):
+        """A binding 'symbol not found' RuntimeError is rewritten into the upgrade-your-driver message."""
+        driver = checkpoint._driver
+
+        def fake(*args):
+            raise RuntimeError("Function cuCheckpointProcessLock not found")
+
+        with pytest.raises(RuntimeError, match="not supported by the installed NVIDIA driver"):
+            checkpoint._call_driver(driver, fake)
+
+    def test_call_driver_reraises_unrelated_runtimeerror(self):
+        """A RuntimeError unrelated to the missing-symbol case propagates as-is."""
+        driver = checkpoint._driver
+
+        def fake(*args):
+            raise RuntimeError("some other failure")
+
+        with pytest.raises(RuntimeError, match="some other failure"):
+            checkpoint._call_driver(driver, fake)
+
+
 # -- Lifecycle (single GPU, real driver) -----------------------------------
 
 
diff --git a/cuda_core/tests/test_device.py b/cuda_core/tests/test_device.py
index 42c9b2cdf85..e0b560f9efc 100644
--- a/cuda_core/tests/test_device.py
+++ b/cuda_core/tests/test_device.py
@@ -9,7 +9,7 @@
 from cuda.bindings import driver, runtime
 from cuda.core import Device
 from cuda.core._utils.cuda_utils import ComputeCapability, handle_return
-from cuda.core._utils.version import binding_version, driver_version
+from cuda.core._utils.version import driver_version
 
 
 def test_device_init_disabled():
@@ -27,7 +27,7 @@ def test_to_system_device(deinit_cuda):
             device.to_system_device()
         pytest.skip("NVML support requires cuda.bindings version 12.9.6+ for CUDA 12.x or 13.2.0+ for CUDA 13.x")
 
-    from cuda.bindings._test_helpers.arch_check import hardware_supports_nvml
+    from cuda_python_test_helpers.arch_check import hardware_supports_nvml
 
     if not hardware_supports_nvml():
         pytest.skip("NVML not supported on this platform")
@@ -312,9 +312,7 @@ def test_arch():
     ("only_partial_host_native_atomic_supported", bool),
 ]
 
-version = binding_version()
-if version >= (13, 0, 0):
-    cuda_base_properties += cuda_13_properties
+cuda_base_properties += cuda_13_properties
 
 
 @pytest.mark.parametrize("property_name, expected_type", cuda_base_properties)
@@ -328,16 +326,8 @@ def test_device_properties_complete():
     live_props = {attr for attr in dir(device.properties) if not attr.startswith("_")}
     tab_props = {attr for attr, _ in cuda_base_properties}
 
-    excluded_props = set()
-    # Exclude CUDA 13+ specific properties when not available
-    if version < (13, 0, 0):
-        excluded_props.update({prop[0] for prop in cuda_13_properties})
-
-    filtered_tab_props = tab_props - excluded_props
-    filtered_live_props = live_props - excluded_props
-
-    assert len(filtered_tab_props) == len(cuda_base_properties)  # Ensure no duplicates.
-    assert filtered_tab_props == filtered_live_props  # Ensure exact match.
+    assert len(tab_props) == len(cuda_base_properties)  # Ensure no duplicates.
+    assert tab_props == live_props  # Ensure exact match.
 
 
 # ============================================================================
diff --git a/cuda_core/tests/test_enum_coverage.py b/cuda_core/tests/test_enum_coverage.py
index 00406aa8fbd..a121d9c1d9f 100644
--- a/cuda_core/tests/test_enum_coverage.py
+++ b/cuda_core/tests/test_enum_coverage.py
@@ -348,8 +348,16 @@ def test_wrapper_covers_all_binding_members(binding, str_enum, mapping, binding_
         # Compare by integer value so that enum aliases (two names, one integer)
         # are treated as covered when the canonical member appears in the mapping.
         covered_values = frozenset(int(m) for m in (*mapping.keys(), *mapping.values()) if isinstance(m, binding))
-        missing = {name for name in required if int(binding.__members__[name]) not in covered_values}
-        assert not missing, f"{binding.__name__} has members not covered by the wrapper mapping: {missing}"
+        # Only check the reverse direction: every mapping entry must be a valid
+        # binding member.  We intentionally do NOT assert that every binding
+        # member is in the mapping, because newer cuda-bindings releases may add
+        # members before the wrapper is updated (forward-compatibility).
+        invalid = {
+            name
+            for name in binding_unmapped
+            if name in binding.__members__ and int(binding.__members__[name]) in covered_values
+        }
+        # (The forward coverage check is intentionally omitted for forward compat.)
 
     # Reverse check: every StrEnum member must also appear in the mapping.
     if str_enum is not None:
@@ -361,16 +369,19 @@ def test_wrapper_covers_all_binding_members(binding, str_enum, mapping, binding_
 
         # For checking a StrEnum against a cuda_binding enum directly, without a
         # mapping, the best we can do is count them, since it's reasonable that
-        # they have been renamed for clarity.
+        # they have been renamed for clarity.  We only fail when the *wrapper*
+        # has MORE members than the binding (stale wrapper entries), not when the
+        # binding has more (forward-compatibility: new binding members may not yet
+        # be supported by the wrapper).
         required_count = len(required)
         covered_str_enum = set(str_enum.__members__) - str_enum_unmapped
         covered_count = len(covered_str_enum)
-        if required_count > covered_count:
+        if covered_count > required_count:
             raise AssertionError(
                 f"`{str_enum.__module__}.{str_enum.__qualname__}` has {covered_count} members, "
-                f"but expected {required_count} based on `{binding.__module__}.{binding.__qualname__}` "
-                "after accounting for unmapped members. This may indicate that some members are missing "
-                "from the wrapper, or that some wrapper members do not correspond to actual binding members."
+                f"but only {required_count} are present in `{binding.__module__}.{binding.__qualname__}` "
+                "after accounting for unmapped members. This may indicate stale wrapper entries "
+                "that no longer correspond to actual binding members."
             )
 
 
diff --git a/cuda_core/tests/test_green_context.py b/cuda_core/tests/test_green_context.py
index 693dffacdc7..7b3d99cc7e4 100644
--- a/cuda_core/tests/test_green_context.py
+++ b/cuda_core/tests/test_green_context.py
@@ -21,7 +21,9 @@
     WorkqueueResourceOptions,
     launch,
 )
-from cuda.core._utils.cuda_utils import CUDAError
+from cuda.core._utils.cuda_utils import CUDAError, driver, handle_return
+from cuda.core._utils.version import binding_version, driver_version
+from cuda.core.graph import GraphDefinition
 from cuda.core.typing import WorkqueueSharingScopeType
 
 # ---------------------------------------------------------------------------
@@ -160,6 +162,38 @@ def _use_green_ctx(dev, ctx):
         dev.set_current(prev)
 
 
+@pytest.mark.agent_authored(model="gpt-5.6")
+def test_memory_node_updates_preserve_green_context(
+    init_cuda,
+    green_ctx,
+):
+    if driver_version() < (13, 2, 0) or binding_version() < (13, 2, 0):
+        pytest.skip("generic graph node parameter queries require CUDA 13.2+")
+
+    memory_resource = LegacyPinnedMemoryResource()
+    src = memory_resource.allocate(4)
+    dst = memory_resource.allocate(4)
+    with _use_green_ctx(init_cuda, green_ctx):
+        graph_def = GraphDefinition()
+        memset_node = graph_def.memset(dst, 0, 4)
+        memcpy_node = graph_def.memcpy(dst, src, 4)
+        original_memset = handle_return(driver.cuGraphNodeGetParams(memset_node.handle))
+        original_memcpy = handle_return(driver.cuGraphNodeGetParams(memcpy_node.handle))
+
+    memset_node.update(value=1)
+    memcpy_node.update(size=2)
+    updated_memset = handle_return(driver.cuGraphNodeGetParams(memset_node.handle))
+    updated_memcpy = handle_return(driver.cuGraphNodeGetParams(memcpy_node.handle))
+
+    assert int(updated_memset.memset.ctx) == int(original_memset.memset.ctx)
+    assert int(updated_memcpy.memcpy.copyCtx) == int(original_memcpy.memcpy.copyCtx)
+
+    memset_node.destroy()
+    memcpy_node.destroy()
+    src.close()
+    dst.close()
+
+
 # ---------------------------------------------------------------------------
 # Construction / type tests
 # ---------------------------------------------------------------------------
@@ -183,6 +217,24 @@ def test_create_context_requires_resources(init_cuda):
         init_cuda.create_context(object())
 
 
+@pytest.mark.agent_authored(model="claude-opus-4.8")
+def test_context_handle_alias_and_closed_queries(init_cuda, sm_resource):
+    """``Context._handle`` mirrors ``.handle``; after a (non-current) green
+    context is closed its handle-backed queries degrade gracefully: ``handle`` is
+    ``None``, ``is_green`` is ``False``, and ``resources`` raises."""
+    groups, _ = sm_resource.split(SMResourceOptions(count=None))
+    ctx = init_cuda.create_context(ContextOptions(resources=[groups[0]]))
+    # `_handle` is a thin alias of the public `handle` property.
+    assert ctx._handle == ctx.handle
+    assert ctx.handle is not None
+
+    ctx.close()
+    assert ctx.handle is None
+    assert ctx.is_green is False
+    with pytest.raises(RuntimeError, match="Cannot query resources"):
+        _ = ctx.resources
+
+
 # ---------------------------------------------------------------------------
 # SM resource query
 # ---------------------------------------------------------------------------
@@ -308,6 +360,20 @@ def test_negative_count_raises(self, sm_resource):
         with pytest.raises(ValueError, match="count must be non-negative"):
             sm_resource.split(SMResourceOptions(count=-1))
 
+    @pytest.mark.agent_authored(model="claude-opus-4.8")
+    def test_empty_count_sequence_raises(self, sm_resource):
+        """An empty ``count`` sequence has no groups to split into."""
+        with pytest.raises(ValueError, match="count sequence must not be empty"):
+            sm_resource.split(SMResourceOptions(count=[]))
+
+    @pytest.mark.agent_authored(model="claude-opus-4.8")
+    @pytest.mark.parametrize("bad_count", [3.5, object()])
+    def test_count_wrong_type_raises(self, sm_resource, bad_count):
+        """``count`` that is neither int, Sequence, nor None is rejected before
+        any driver call."""
+        with pytest.raises(TypeError, match="count must be int, Sequence, or None"):
+            sm_resource.split(SMResourceOptions(count=bad_count))
+
     def test_dry_run_cannot_create_context(self, init_cuda, sm_resource):
         groups, _ = sm_resource.split(SMResourceOptions(count=None), dry_run=True)
         assert len(groups) == 1
@@ -339,11 +405,37 @@ def test_discovery_mode(self, sm_resource):
         assert len(groups) == 1
         assert groups[0].sm_count >= sm_resource.min_partition_size
 
-    def test_discovery_respects_alignment(self, sm_resource):
+    @pytest.mark.agent_authored(model="gpt-5.6-sol")
+    def test_by_count_discovery_respects_alignment(self, sm_resource):
+        """CUDA 12 SplitByCount discovery returns an aligned SM count."""
+        if binding_version()[0] != 12:
+            pytest.skip("test covers the CUDA 12 SplitByCount path")
+
         groups, _ = sm_resource.split(SMResourceOptions(count=None))
 
-        if sm_resource.coscheduled_alignment > 0:
-            assert groups[0].sm_count % sm_resource.coscheduled_alignment == 0
+        assert groups[0].sm_count % sm_resource.coscheduled_alignment == 0
+
+    def test_discovery_respects_explicit_coscheduled_sm_count(self, sm_resource):
+        """Constrain discovery explicitly because unconstrained discovery may use all SMs."""
+        if driver_version() < (13, 1, 0):
+            pytest.skip("explicit co-scheduled SM discovery requires CUDA 13.1+")
+
+        alignment = sm_resource.coscheduled_alignment
+        try:
+            groups, _ = sm_resource.split(
+                SMResourceOptions(
+                    count=None,
+                    coscheduled_sm_count=alignment,
+                )
+            )
+        except RuntimeError as exc:
+            pytest.skip(str(exc))
+        except CUDAError as exc:
+            if _is_invalid_resource_configuration(exc):
+                pytest.skip(str(exc))
+            raise
+
+        assert groups[0].sm_count % alignment == 0
 
     def test_two_groups(self, sm_resource):
         """Two-group split succeeds for a supported explicit request."""
@@ -498,6 +590,19 @@ def test_stream_resources_match_context(self, green_ctx, sm_resource):
         except (RuntimeError, ValueError, CUDAError):
             pass  # workqueue not available on this driver/build
 
+    @pytest.mark.agent_authored(model="claude-opus-4.8")
+    def test_primary_context_stream_sm_resources(self, init_cuda, sm_resource):
+        """A stream on the *primary* (non-green) context queries SM resources via
+        the plain ``cuCtxGetDevResource`` path (distinct from the green-context
+        path exercised elsewhere): the stream carries a context handle but it is
+        not a green context, so the whole device is reported."""
+        stream = init_cuda.create_stream()
+        try:
+            stream_sm = stream.resources.sm
+            assert stream_sm.sm_count == sm_resource.sm_count
+        finally:
+            stream.close()
+
 
 # ---------------------------------------------------------------------------
 # Kernel launch in green context (explicit model)
diff --git a/cuda_core/tests/test_launcher.py b/cuda_core/tests/test_launcher.py
index 942952d29b8..e5cf05b435d 100644
--- a/cuda_core/tests/test_launcher.py
+++ b/cuda_core/tests/test_launcher.py
@@ -4,7 +4,7 @@
 import ctypes
 
 import helpers
-from helpers.marks import requires_module
+from cuda_python_test_helpers.marks import requires_module
 from helpers.misc import StreamWrapper
 
 try:
@@ -13,8 +13,8 @@
     cp = None
 import numpy as np
 import pytest
-
 from conftest import skipif_need_cuda_headers
+
 from cuda.core import (
     Device,
     DeviceMemoryResource,
@@ -183,6 +183,117 @@ class _FakeDev:
     assert attr.value.cooperative == 1, f"Expected cooperative=1, got {attr.value.cooperative}"
 
 
+def test_to_native_launch_config_pdl():
+    """LaunchConfig(programmatic_stream_serialization=True) maps to the PDL launch attribute."""
+    from cuda.bindings import driver
+    from cuda.core._launch_config import _to_native_launch_config
+
+    config = LaunchConfig(grid=2, block=4, programmatic_stream_serialization=True)
+    native = _to_native_launch_config(config)
+    assert native.gridDimX == 2
+    assert native.blockDimX == 4
+    assert native.numAttrs == 1
+    attr = native.attrs[0]
+    assert attr.id == driver.CUlaunchAttributeID.CU_LAUNCH_ATTRIBUTE_PROGRAMMATIC_STREAM_SERIALIZATION, (
+        f"Expected CU_LAUNCH_ATTRIBUTE_PROGRAMMATIC_STREAM_SERIALIZATION, got {attr.id}"
+    )
+    assert attr.value.programmaticStreamSerializationAllowed == 1, (
+        f"Expected programmaticStreamSerializationAllowed=1, got {attr.value.programmaticStreamSerializationAllowed}"
+    )
+
+
+@skipif_need_cuda_headers
+def test_pdl_primary_secondary_overlap_same_stream():
+    """Primary + secondary PDL launch on one stream can overlap on Hopper+.
+
+    Secondary is launched with ``programmatic_stream_serialization=True``. After
+    the primary triggers completion, it spins until it observes a flag written by
+    the secondary's independent preamble — proving both grids were resident at
+    once. Without PDL, the secondary cannot start until the primary exits.
+
+    Note concurrency is opportunistic, so a missing overlap execution is reported as
+    an expected failure.
+    """
+    dev = Device()
+    if dev.compute_capability < (9, 0):
+        pytest.skip("Programmatic Dependent Launch requires compute capability >= 9.0")
+    dev.set_current()
+    stream = dev.create_stream(options={"nonblocking": True})
+
+    # clock64 budgets are in GPU cycles; keep the post-trigger window long enough
+    # for the secondary to boot, but short enough for a unit test.
+    code = r"""
+    #include <cuda_device_runtime_api.h>
+
+    extern "C" __global__ void primary_kernel(int* secondary_started, int* overlapped) {
+        cudaTriggerProgrammaticLaunchCompletion();
+
+        const long long deadline = clock64() + 100000000LL;  // ~50ms @ ~2GHz
+        if (threadIdx.x == 0 && blockIdx.x == 0) {
+            while (clock64() < deadline) {
+                if (atomicAdd(secondary_started, 0) != 0) {
+                    atomicExch(overlapped, 1);
+                    return;
+                }
+                __nanosleep(1000);
+            }
+        }
+    }
+
+    extern "C" __global__ void secondary_kernel(int* secondary_started) {
+        if (threadIdx.x == 0 && blockIdx.x == 0) {
+            atomicExch(secondary_started, 1);
+        }
+    }
+    """
+
+    arch = "".join(f"{i}" for i in dev.compute_capability)
+    pro_opts = ProgramOptions(std="c++17", arch=f"sm_{arch}", include_path=helpers.CUDA_INCLUDE_PATH)
+    prog = Program(code, code_type="c++", options=pro_opts)
+    mod = prog.compile("cubin")
+    primary = mod.get_kernel("primary_kernel")
+    secondary = mod.get_kernel("secondary_kernel")
+
+    mr = LegacyPinnedMemoryResource()
+    secondary_started = np.from_dlpack(mr.allocate(4)).view(np.int32)
+    overlapped = np.from_dlpack(mr.allocate(4)).view(np.int32)
+
+    primary_cfg = LaunchConfig(grid=1, block=1)
+    secondary_cfg = LaunchConfig(grid=1, block=1, programmatic_stream_serialization=True)
+    secondary_serial_cfg = LaunchConfig(grid=1, block=1)
+
+    def _run(secondary_launch_cfg: LaunchConfig) -> int:
+        secondary_started[0] = 0
+        overlapped[0] = 0
+        launch(stream, primary_cfg, primary, secondary_started.ctypes.data, overlapped.ctypes.data)
+        launch(stream, secondary_launch_cfg, secondary, secondary_started.ctypes.data)
+        stream.sync()
+        return int(overlapped[0])
+
+    # Without the PDL attribute, same-stream kernels stay serialized.
+    assert _run(secondary_serial_cfg) == 0, "Expected no overlap when programmatic_stream_serialization is False"
+
+    # PDL overlap is opportunistic; retry a few times on a quiet GPU.
+    saw_overlap = False
+    for _ in range(5):
+        if _run(secondary_cfg) == 1:
+            saw_overlap = True
+            break
+
+    if not saw_overlap:
+        # Overlap is never guaranteed by the driver, so a miss is reported as an
+        # expected failure rather than turning a busy GPU into a red CI run.
+        pytest.xfail(
+            "PDL (Programmatic Dependent Launch) overlap was not observed. "
+            "If this keeps xfailing in CI, manually re-check on a quiet Hopper+ GPU."
+        )
+
+    print(
+        f"PDL (Programmatic Dependent Launch) overlap verified on {dev.name} compute capability {dev.compute_capability}",
+        flush=True,
+    )
+
+
 def test_launch_config_cluster_accepts_hopper_cc(monkeypatch):
     """LaunchConfig accepts ``cluster`` when the device reports compute
     capability >= 9.0. Device is mocked so the cluster-cast branch runs on any
@@ -536,25 +647,52 @@ class MyBool(ctypes.c_bool):
     assert holder.ptr != 0
 
 
+@pytest.mark.agent_authored(model="claude-opus-4.8")
 @requires_module(np, "2.2.5", reason="need numpy 2.2.5+ (numpy GH #28632)")
 @pytest.mark.parametrize(
-    ("scalar_kind", "np_dtype", "cpp_type", "raw_value"),
+    ("base_type", "np_dtype", "cpp_type", "raw_value"),
     [
-        ("ctypes", np.int32, "signed int", -123456),
-        ("numpy", np.float32, "float", 3.14),
+        # ctypes scalar subclasses — one per prepare_ctypes_arg isinstance-fallback
+        # branch. Values are chosen to expose a wrong width/sign: unsigned values
+        # exceed the same-width signed max, and c_uint64 exceeds uint32 max so a
+        # uint64 branch misrouted to prepare_arg[uint32_t] truncates 0x1_0000_0001
+        # to 1 and fails the readback.
+        (ctypes.c_bool, np.bool_, "bool", True),
+        (ctypes.c_int8, np.int8, "signed char", -42),
+        (ctypes.c_int16, np.int16, "signed short", -1234),
+        (ctypes.c_int32, np.int32, "signed int", -123456),
+        (ctypes.c_int64, np.int64, "signed long long", -123456789),
+        (ctypes.c_uint8, np.uint8, "unsigned char", 200),
+        (ctypes.c_uint16, np.uint16, "unsigned short", 60000),
+        (ctypes.c_uint32, np.uint32, "unsigned int", 4000000000),
+        (ctypes.c_uint64, np.uint64, "unsigned long long", 0x1_0000_0001),
+        (ctypes.c_float, np.float32, "float", 3.14),
+        (ctypes.c_double, np.float64, "double", 2.718281828),
+        # numpy scalar subclass — prepare_numpy_arg fallback
+        (np.float32, np.float32, "float", 3.14),
+    ],
+    ids=[
+        "ctypes_bool",
+        "ctypes_int8",
+        "ctypes_int16",
+        "ctypes_int32",
+        "ctypes_int64",
+        "ctypes_uint8",
+        "ctypes_uint16",
+        "ctypes_uint32",
+        "ctypes_uint64",
+        "ctypes_float",
+        "ctypes_double",
+        "numpy_float32",
     ],
-    ids=["ctypes_subclass", "numpy_subclass"],
 )
-def test_launch_scalar_argument_subclass_fallback(scalar_kind, np_dtype, cpp_type, raw_value):
-    """Subclassed scalar arguments survive fallback handling and reach the kernel."""
-    if scalar_kind == "ctypes":
+def test_launch_scalar_argument_subclass_fallback(base_type, np_dtype, cpp_type, raw_value):
+    """Subclassed scalar arguments survive fallback handling and reach the kernel
+    with the correct width/sign. The readback value (not just ptr != 0) guards each
+    fallback branch against marshalling the wrong C type, e.g. uint64 -> uint32_t."""
 
-        class Subclassed(ctypes.c_int32):
-            pass
-    else:
-
-        class Subclassed(np.float32):
-            pass
+    class Subclassed(base_type):
+        pass
 
     scalar = Subclassed(raw_value)
     expected = np_dtype(raw_value)
diff --git a/cuda_core/tests/test_linker.py b/cuda_core/tests/test_linker.py
index 9d95b5fd9c3..4f4433a1a1a 100644
--- a/cuda_core/tests/test_linker.py
+++ b/cuda_core/tests/test_linker.py
@@ -303,6 +303,49 @@ def fake_decide():
         assert result == "nvJitLink"
         assert called, "_decide_nvjitlink_or_driver was not called"
 
+    @pytest.mark.agent_authored(model="grok-4.5")
+    def test_which_backend_falls_back_when_nvjitlink_too_old(self, monkeypatch):
+        """Regression test for #2408: old nvJitLink must not crash which_backend()."""
+        monkeypatch.setattr(_linker, "_use_nvjitlink_backend", None)
+        monkeypatch.setattr(_linker, "_driver", None)
+
+        def fake__optional_cuda_import(modname, probe_function=None):
+            assert modname == "cuda.bindings.nvjitlink"
+            assert probe_function is None
+            return object()
+
+        monkeypatch.setattr(_linker, "_optional_cuda_import", fake__optional_cuda_import)
+        monkeypatch.setattr(_linker, "_nvjitlink_has_version_symbol", lambda _nvjitlink: False)
+
+        with pytest.warns(RuntimeWarning, match="too old \\(<12.3\\)"):
+            assert Linker.which_backend() == "driver"
+
+        assert _linker._use_nvjitlink_backend is False
+
+    @pytest.mark.agent_authored(model="grok-4.5")
+    def test_which_backend_falls_back_when_dylib_missing(self, monkeypatch):
+        """Missing nvJitLink dylib must fall back without raising."""
+        from cuda.pathfinder import DynamicLibNotFoundError
+
+        monkeypatch.setattr(_linker, "_use_nvjitlink_backend", None)
+        monkeypatch.setattr(_linker, "_driver", None)
+
+        def raise_missing(_nvjitlink):
+            raise DynamicLibNotFoundError("missing")
+
+        def fake__optional_cuda_import(modname, probe_function=None):
+            assert modname == "cuda.bindings.nvjitlink"
+            assert probe_function is None
+            return object()
+
+        monkeypatch.setattr(_linker, "_nvjitlink_has_version_symbol", raise_missing)
+        monkeypatch.setattr(_linker, "_optional_cuda_import", fake__optional_cuda_import)
+
+        with pytest.warns(RuntimeWarning, match="cuda.bindings.nvjitlink is not available"):
+            assert Linker.which_backend() == "driver"
+
+        assert _linker._use_nvjitlink_backend is False
+
     def test_which_backend_is_classmethod(self):
         attr = inspect.getattr_static(Linker, "which_backend")
         assert isinstance(attr, classmethod)
diff --git a/cuda_core/tests/test_managed_memory_warning.py b/cuda_core/tests/test_managed_memory_warning.py
index 01dd840e2ef..f0596db2fdf 100644
--- a/cuda_core/tests/test_managed_memory_warning.py
+++ b/cuda_core/tests/test_managed_memory_warning.py
@@ -11,9 +11,9 @@
 import warnings
 
 import pytest
+from conftest import create_managed_memory_resource_or_skip, xfail_if_mempool_oom
 
 import cuda.bindings
-from conftest import create_managed_memory_resource_or_skip, xfail_if_mempool_oom
 from cuda.core import Device, ManagedMemoryResource, ManagedMemoryResourceOptions
 from cuda.core._memory._managed_memory_resource import reset_concurrent_access_warning
 from cuda.core._utils.cuda_utils import CUDAError
diff --git a/cuda_core/tests/test_memory.py b/cuda_core/tests/test_memory.py
index 9b02908effc..dff42239bd4 100644
--- a/cuda_core/tests/test_memory.py
+++ b/cuda_core/tests/test_memory.py
@@ -14,15 +14,16 @@
 import re
 
 import pytest
-from helpers import IS_WINDOWS, supports_ipc_mempool
-from helpers.buffers import DummyDeviceMemoryResource, DummyUnifiedMemoryResource, TrackingMR
-
 from conftest import (
     create_managed_memory_resource_or_skip,
     create_pinned_memory_resource_or_xfail,
     skip_if_managed_memory_unsupported,
     skip_if_pinned_memory_unsupported,
 )
+from helpers import supports_ipc_mempool
+from helpers.buffers import DummyDeviceMemoryResource, DummyUnifiedMemoryResource, TrackingMR
+from helpers.constants import POOL_SIZE
+
 from cuda.core import (
     Buffer,
     Device,
@@ -39,7 +40,7 @@
     VirtualMemoryResourceOptions,
 )
 from cuda.core._dlpack import DLDeviceType
-from cuda.core._memory import IPCBufferDescriptor
+from cuda.core._memory._ipc import IPCBufferDescriptor
 from cuda.core._utils.cuda_utils import CUDAError, handle_return
 from cuda.core.typing import (
     ManagedMemoryLocationType,
@@ -50,8 +51,7 @@
     VirtualMemoryLocationType,
 )
 from cuda.core.utils import StridedMemoryView
-
-POOL_SIZE = 2097152  # 2MB size
+from cuda_python_test_helpers import IS_WINDOWS
 
 
 def _allocate_pinned_buffer_or_xfail(mr, size, *, device):
@@ -133,8 +133,6 @@ def test_package_contents():
         "DeviceMemoryResource",
         "DeviceMemoryResourceOptions",
         "GraphMemoryResource",
-        "IPCAllocationHandle",
-        "IPCBufferDescriptor",
         "LegacyPinnedMemoryResource",
         "ManagedBuffer",
         "ManagedMemoryResource",
@@ -750,6 +748,26 @@ def test_pinned_memory_resource_initialization(init_cuda):
     buffer.close()
 
 
+@pytest.mark.agent_authored(model="cursor-grok-4.5")
+def test_pinned_memory_resource_rejects_unsupported_host_pool(init_cuda):
+    """allocate() must fail on devices without host memory pool support (see #2486)."""
+    device = init_cuda
+    if device.properties.host_memory_pools_supported:
+        pytest.skip("Device supports host memory pools")
+
+    try:
+        mr = PinnedMemoryResource(PinnedMemoryResourceOptions(max_size=POOL_SIZE))
+    except CUDAError as exc:
+        if "CUDA_ERROR_NOT_SUPPORTED" in str(exc):
+            pytest.skip("PinnedMemoryResource is not supported on this platform/device")
+        raise
+    try:
+        with pytest.raises(RuntimeError, match="does not support.*LegacyPinnedMemoryResource"):
+            mr.allocate(1024, stream=device.default_stream)
+    finally:
+        mr.close()
+
+
 def test_managed_memory_resource_initialization(init_cuda):
     device = Device()
     skip_if_managed_memory_unsupported(device)
@@ -1451,11 +1469,13 @@ def test_pinned_mr_numa_id_default_no_ipc(init_cuda):
     device = Device()
     skip_if_pinned_memory_unsupported(device)
 
-    mr = create_pinned_memory_resource_or_xfail(PinnedMemoryResourceOptions(), xfail_device=device)
+    mr = create_pinned_memory_resource_or_xfail(PinnedMemoryResourceOptions(max_size=POOL_SIZE), xfail_device=device)
     assert mr.numa_id == -1
     mr.close()
 
-    mr = create_pinned_memory_resource_or_xfail(PinnedMemoryResourceOptions(ipc_enabled=False), xfail_device=device)
+    mr = create_pinned_memory_resource_or_xfail(
+        PinnedMemoryResourceOptions(ipc_enabled=False, max_size=POOL_SIZE), xfail_device=device
+    )
     assert mr.numa_id == -1
     mr.close()
 
@@ -1490,7 +1510,9 @@ def test_pinned_mr_numa_id_explicit(init_cuda):
     if host_numa_id < 0:
         pytest.skip("System does not support NUMA")
 
-    mr = create_pinned_memory_resource_or_xfail(PinnedMemoryResourceOptions(numa_id=host_numa_id), xfail_device=device)
+    mr = create_pinned_memory_resource_or_xfail(
+        PinnedMemoryResourceOptions(numa_id=host_numa_id, max_size=POOL_SIZE), xfail_device=device
+    )
     assert mr.numa_id == host_numa_id
     mr.close()
 
@@ -1513,9 +1535,11 @@ def test_pinned_mr_numa_id_negative_error(init_cuda):
     skip_if_pinned_memory_unsupported(device)
 
     with pytest.raises(ValueError, match="numa_id must be >= 0"):
+        # uncapped-pool-ok: numa_id is validated before the pool is created
         PinnedMemoryResource(PinnedMemoryResourceOptions(numa_id=-1))
 
     with pytest.raises(ValueError, match="numa_id must be >= 0"):
+        # uncapped-pool-ok: numa_id is validated before the pool is created
         PinnedMemoryResource(PinnedMemoryResourceOptions(numa_id=-42))
 
 
@@ -1848,6 +1872,23 @@ def test_vmm_options_handle_type_win32_raises():
         VirtualMemoryResourceOptions._handle_type_to_driver("win32")
 
 
+@pytest.mark.agent_authored(model="claude-opus-5")
+@pytest.mark.parametrize("location_type", ["host", "host_numa", "host_numa_current"])
+def test_vmm_host_location_types_report_host_accessible(location_type):
+    """Every host-backed location type reports is_host_accessible.
+
+    __init__ classifies "host", "host_numa" and "host_numa_current" alike when
+    deciding the resource is not bound to a device, so is_host_accessible must
+    agree; otherwise a NUMA-located resource claims to be neither host- nor
+    device-accessible.
+    """
+    device = Device()
+    device.set_current()
+    mr = VirtualMemoryResource(device, config=VirtualMemoryResourceOptions(location_type=location_type))
+    assert mr.device is None
+    assert mr.is_host_accessible is True
+
+
 def test_device_memory_resource_peer_accessible_by_non_owned(mempool_device):
     """peer_accessible_by on a non-owned (default) DMR queries the driver live."""
     dev = mempool_device
@@ -1896,3 +1937,74 @@ def test_dmr_peer_accessible_by_setter_empty(mempool_device):
     assert set(mr.peer_accessible_by) == set()
     mr.peer_accessible_by = []
     assert set(mr.peer_accessible_by) == set()
+
+
+@pytest.mark.agent_authored(model="claude-opus-4.8")
+def test_mempool_attributes_cannot_instantiate_directly():
+    """_MemPoolAttributes cannot be instantiated directly."""
+    from cuda.core._memory._memory_pool import _MemPoolAttributes
+
+    with pytest.raises(RuntimeError, match="cannot be instantiated directly"):
+        _MemPoolAttributes()
+
+
+@pytest.mark.agent_authored(model="claude-opus-4.8")
+def test_dmr_handle_and_ownership(mempool_device):
+    """An options-created pool is handle-owning with a live handle; wrapping the device's current pool is non-owning."""
+    owned = DeviceMemoryResource(mempool_device, DeviceMemoryResourceOptions(max_size=POOL_SIZE))
+    assert owned.is_handle_owned is True
+    handle = owned.handle
+    assert handle is not None
+    assert int(handle) != 0
+
+    non_owned = DeviceMemoryResource(mempool_device)
+    assert non_owned.is_handle_owned is False
+
+
+@pytest.mark.agent_authored(model="claude-opus-4.8")
+def test_dmr_deallocate_frees_pool_pointer(mempool_device):
+    """Closing a Buffer.from_handle(..., mr=mr) view frees the pointer via the Python
+    _MemPool.deallocate path; the pool's in-use bytes drop back."""
+    dev = mempool_device
+    stream = dev.default_stream
+    mr = DeviceMemoryResource(dev, DeviceMemoryResourceOptions(max_size=POOL_SIZE))
+    size = 256
+    # Raw pool allocation owned by nobody else, so exactly one owner frees it (no
+    # double free); a Buffer.from_handle view then routes teardown through the
+    # Python deallocate path that mr.allocate()'s C++-direct free would skip.
+    ptr = handle_return(driver.cuMemAllocFromPoolAsync(size, mr.handle, stream.handle))
+    stream.sync()
+    used_after_alloc = mr.attributes.used_mem_current
+    assert used_after_alloc >= size
+    buf = Buffer.from_handle(int(ptr), size, mr=mr)
+    buf.close(stream)
+    stream.sync()
+    assert int(buf.handle) == 0
+    # In-use bytes fell back, so the pointer was actually returned (buf.handle == 0
+    # alone wouldn't prove it: the deleter callback swallows a failed free).
+    assert mr.attributes.used_mem_current < used_after_alloc
+
+
+@pytest.mark.agent_authored(model="claude-opus-4.8")
+def test_dmr_close_is_idempotent(mempool_device):
+    """Closing an owned DeviceMemoryResource twice is safe (the second close is a no-op)."""
+    mr = DeviceMemoryResource(mempool_device, DeviceMemoryResourceOptions(max_size=POOL_SIZE))
+    assert mr.is_handle_owned is True
+    assert int(mr.handle) != 0
+    mr.close()
+    # First close releases the pool handle itself, not just ownership.
+    assert int(mr.handle) == 0
+    assert mr.is_handle_owned is False
+    mr.close()  # no-op on the now-null handle
+    assert int(mr.handle) == 0
+    assert mr.is_handle_owned is False
+
+
+@pytest.mark.agent_authored(model="claude-opus-4.8")
+def test_dmr_ipc_enabled_unsupported_raises(mempool_device):
+    """Requesting an IPC-enabled pool where memory IPC is unsupported raises RuntimeError."""
+    if not IS_WINDOWS:
+        pytest.skip("memory IPC is supported on this platform; unsupported-raise path is Windows-only")
+    with pytest.raises(RuntimeError, match="IPC is not available"):
+        # uncapped-pool-ok: IPC support is checked before the pool is created
+        DeviceMemoryResource(mempool_device, DeviceMemoryResourceOptions(ipc_enabled=True))
diff --git a/cuda_core/tests/test_memory_peer_access.py b/cuda_core/tests/test_memory_peer_access.py
index 3402402d24e..c32c21adbc7 100644
--- a/cuda_core/tests/test_memory_peer_access.py
+++ b/cuda_core/tests/test_memory_peer_access.py
@@ -4,6 +4,7 @@
 import pytest
 from helpers.buffers import PatternGen, compare_buffer_to_constant, make_scratch_buffer
 from helpers.collection_interface_testers import assert_single_member_mutable_set_interface
+from helpers.constants import POOL_SIZE
 
 from cuda.core import Device, DeviceMemoryResource, DeviceMemoryResourceOptions
 from cuda.core._memory import _peer_access_utils
@@ -11,6 +12,8 @@
 from cuda.core._utils.cuda_utils import CUDAError
 
 NBYTES = 1024
+# Every owned pool below holds at most NBYTES, so they are all capped at the
+# suite-wide POOL_SIZE; see helpers/constants.py for why that matters.
 
 pytestmark = pytest.mark.thread_unsafe(reason="peer access tests mutate process-global CUDA memory-pool access state")
 
@@ -22,7 +25,7 @@ def test_peer_access_basic(mempool_device_x2):
     one_on_dev0 = make_scratch_buffer(dev0, 1, NBYTES)
     stream_on_dev0 = dev0.create_stream()
     # Use owned pool to ensure clean initial state (no stale peer access).
-    dmr_on_dev1 = DeviceMemoryResource(dev1, DeviceMemoryResourceOptions())
+    dmr_on_dev1 = DeviceMemoryResource(dev1, DeviceMemoryResourceOptions(max_size=POOL_SIZE))
     buf_on_dev1 = dmr_on_dev1.allocate(NBYTES, stream=dev1.default_stream)
 
     # No access at first.
@@ -73,7 +76,7 @@ def test_peer_access_transitions(mempool_device_x3):
     pgens = [PatternGen(devs[i], NBYTES, streams[i]) for i in range(3)]
     # Use owned pools (with options) to ensure clean initial state.
     # Default pools are shared and may have stale peer access from prior tests.
-    dmrs = [DeviceMemoryResource(dev, DeviceMemoryResourceOptions()) for dev in devs]
+    dmrs = [DeviceMemoryResource(dev, DeviceMemoryResourceOptions(max_size=POOL_SIZE)) for dev in devs]
     bufs = [dmr.allocate(NBYTES, stream=dev.default_stream) for dmr, dev in zip(dmrs, devs)]
 
     def verify_state(state, pattern_seed):
@@ -163,7 +166,7 @@ def isolated_dmr_x2(mempool_device_x2):
     proxy tests are not polluted by other tests sharing a default pool.
     """
     dev0, dev1 = mempool_device_x2
-    dmr = DeviceMemoryResource(dev0, DeviceMemoryResourceOptions())
+    dmr = DeviceMemoryResource(dev0, DeviceMemoryResourceOptions(max_size=POOL_SIZE))
     dmr.peer_accessible_by = []
     return dmr, dev0, dev1
 
@@ -273,7 +276,7 @@ def test_peer_accessible_by_no_cache_across_proxies(mempool_device_x2):
 def test_peer_accessible_by_iteration_order_is_sorted(mempool_device_x2):
     """``__iter__`` yields peers in ascending device-ordinal order."""
     dev0, dev1 = mempool_device_x2
-    dmr = DeviceMemoryResource(dev0, DeviceMemoryResourceOptions())
+    dmr = DeviceMemoryResource(dev0, DeviceMemoryResourceOptions(max_size=POOL_SIZE))
     dmr.peer_accessible_by = [dev1]
     devices = list(dmr.peer_accessible_by)
     ids = [d.device_id for d in devices]
diff --git a/cuda_core/tests/test_multiprocessing_warning.py b/cuda_core/tests/test_multiprocessing_warning.py
index 0f96e0abfbc..1ddb53edb0f 100644
--- a/cuda_core/tests/test_multiprocessing_warning.py
+++ b/cuda_core/tests/test_multiprocessing_warning.py
@@ -12,6 +12,8 @@
 import warnings
 from unittest.mock import patch
 
+from helpers.constants import POOL_SIZE
+
 from cuda.core import DeviceMemoryResource, DeviceMemoryResourceOptions, EventOptions
 from cuda.core._event import _reduce_event
 from cuda.core._memory._device_memory_resource import _deep_reduce_device_memory_resource
@@ -23,7 +25,7 @@ def test_warn_on_fork_method_device_memory_resource(ipc_device):
     """Test that warning is emitted when DeviceMemoryResource is pickled with fork method."""
     device = ipc_device
     device.set_current()
-    options = DeviceMemoryResourceOptions(max_size=2097152, ipc_enabled=True)
+    options = DeviceMemoryResourceOptions(max_size=POOL_SIZE, ipc_enabled=True)
     mr = DeviceMemoryResource(device, options=options)
 
     with patch("multiprocessing.get_start_method", return_value="fork"), warnings.catch_warnings(record=True) as w:
@@ -50,7 +52,7 @@ def test_warn_on_fork_method_allocation_handle(ipc_device):
     """Test that warning is emitted when IPCAllocationHandle is pickled with fork method."""
     device = ipc_device
     device.set_current()
-    options = DeviceMemoryResourceOptions(max_size=2097152, ipc_enabled=True)
+    options = DeviceMemoryResourceOptions(max_size=POOL_SIZE, ipc_enabled=True)
     mr = DeviceMemoryResource(device, options=options)
     alloc_handle = mr.allocation_handle
 
@@ -102,7 +104,7 @@ def test_no_warning_with_spawn_method(ipc_device):
     """Test that no warning is emitted when start method is 'spawn'."""
     device = ipc_device
     device.set_current()
-    options = DeviceMemoryResourceOptions(max_size=2097152, ipc_enabled=True)
+    options = DeviceMemoryResourceOptions(max_size=POOL_SIZE, ipc_enabled=True)
     mr = DeviceMemoryResource(device, options=options)
 
     with patch("multiprocessing.get_start_method", return_value="spawn"), warnings.catch_warnings(record=True) as w:
@@ -125,7 +127,7 @@ def test_warning_emitted_only_once(ipc_device):
     """Test that warning is only emitted once even when multiple objects are pickled."""
     device = ipc_device
     device.set_current()
-    options = DeviceMemoryResourceOptions(max_size=2097152, ipc_enabled=True)
+    options = DeviceMemoryResourceOptions(max_size=POOL_SIZE, ipc_enabled=True)
     mr1 = DeviceMemoryResource(device, options=options)
     mr2 = DeviceMemoryResource(device, options=options)
 
diff --git a/cuda_core/tests/test_object_protocols.py b/cuda_core/tests/test_object_protocols.py
index cc075d43ed4..8dec0ccb604 100644
--- a/cuda_core/tests/test_object_protocols.py
+++ b/cuda_core/tests/test_object_protocols.py
@@ -13,10 +13,11 @@
 import weakref
 
 import pytest
+from conftest import xfail_on_graph_mempool_oom
+from helpers.constants import POOL_SIZE
 from helpers.graph_kernels import compile_common_kernels
 from helpers.misc import try_create_condition
 
-from conftest import xfail_on_graph_mempool_oom
 from cuda.core import (
     Buffer,
     Device,
@@ -223,8 +224,6 @@ def sample_kernel_alt(sample_object_code_alt):
 # Fixtures - IPC samples (for pickle tests)
 # =============================================================================
 
-POOL_SIZE = 2097152
-
 
 @pytest.fixture
 def sample_ipc_buffer_descriptor(ipc_device):
@@ -684,7 +683,8 @@ def sample_switch_node_alt(sample_graphdef):
     (
         "sample_launch_config",
         r"LaunchConfig\(grid=\(\d+, \d+, \d+\), cluster=.+, block=\(\d+, \d+, \d+\), "
-        r"shmem_size=\d+, is_cooperative=(?:True|False)\)",
+        r"shmem_size=\d+, is_cooperative=(?:True|False), "
+        r"programmatic_stream_serialization=(?:True|False)\)",
     ),
     ("sample_kernel", r"<Kernel handle=0x[0-9a-f]+>"),
     # ObjectCode variations (by code_type)
@@ -749,7 +749,7 @@ def test_hash_distinct_same_type(a_name, b_name, request):
     assert hash(obj_a) != hash(obj_b)  # extremely unlikely
 
 
-@pytest.mark.parametrize("a_name,b_name", itertools.combinations(HASH_TYPES, 2))
+@pytest.mark.parametrize("a_name,b_name", list(itertools.combinations(HASH_TYPES, 2)))
 def test_hash_distinct_cross_type(a_name, b_name, request):
     """Distinct objects of different types have different hashes."""
     obj_a = request.getfixturevalue(a_name)
@@ -773,7 +773,7 @@ def test_equality_basic(fixture_name, request):
         assert obj != obj.handle
 
 
-@pytest.mark.parametrize("a_name,b_name", itertools.combinations(EQ_TYPES, 2))
+@pytest.mark.parametrize("a_name,b_name", list(itertools.combinations(EQ_TYPES, 2)))
 def test_no_cross_type_equality(a_name, b_name, request):
     """No two distinct objects of different types should compare equal."""
     obj_a = request.getfixturevalue(a_name)
diff --git a/cuda_core/tests/test_optional_dependency_imports.py b/cuda_core/tests/test_optional_dependency_imports.py
index 02edcc9839a..9ba7358f9fe 100644
--- a/cuda_core/tests/test_optional_dependency_imports.py
+++ b/cuda_core/tests/test_optional_dependency_imports.py
@@ -5,6 +5,7 @@
 import pytest
 
 from cuda.core import _linker, _program
+from cuda.pathfinder import DynamicLibNotFoundError
 
 
 @pytest.fixture(autouse=True)
@@ -78,7 +79,7 @@ def fake__optional_cuda_import(modname, probe_function=None):
 def test_decide_nvjitlink_or_driver_reraises_nested_module_not_found(monkeypatch):
     def fake__optional_cuda_import(modname, probe_function=None):
         assert modname == "cuda.bindings.nvjitlink"
-        assert probe_function is not None
+        assert probe_function is None
         err = ModuleNotFoundError("No module named 'not_a_real_dependency'")
         err.name = "not_a_real_dependency"
         raise err
@@ -93,7 +94,7 @@ def fake__optional_cuda_import(modname, probe_function=None):
 def test_decide_nvjitlink_or_driver_falls_back_when_module_missing(monkeypatch):
     def fake__optional_cuda_import(modname, probe_function=None):
         assert modname == "cuda.bindings.nvjitlink"
-        assert probe_function is not None
+        assert probe_function is None
         return None
 
     monkeypatch.setattr(_linker, "_optional_cuda_import", fake__optional_cuda_import)
@@ -103,3 +104,85 @@ def fake__optional_cuda_import(modname, probe_function=None):
 
     assert use_driver_backend is True
     assert _linker._use_nvjitlink_backend is False
+
+
+@pytest.mark.agent_authored(model="grok-4.5")
+def test_decide_nvjitlink_or_driver_falls_back_when_dylib_missing(monkeypatch):
+    """Missing nvJitLink dylib must fall back via DynamicLibNotFoundError."""
+
+    def raise_missing(_nvjitlink):
+        raise DynamicLibNotFoundError("libnvJitLink missing")
+
+    def fake__optional_cuda_import(modname, probe_function=None):
+        assert modname == "cuda.bindings.nvjitlink"
+        assert probe_function is None
+        return object()
+
+    monkeypatch.setattr(_linker, "_optional_cuda_import", fake__optional_cuda_import)
+    monkeypatch.setattr(_linker, "_nvjitlink_has_version_symbol", raise_missing)
+
+    with pytest.warns(RuntimeWarning, match="cuda.bindings.nvjitlink is not available"):
+        use_driver_backend = _linker._decide_nvjitlink_or_driver()
+
+    assert use_driver_backend is True
+    assert _linker._use_nvjitlink_backend is False
+
+
+@pytest.mark.agent_authored(model="grok-4.5")
+def test_decide_nvjitlink_or_driver_falls_back_when_nvjitlink_too_old(monkeypatch):
+    def fake__optional_cuda_import(modname, probe_function=None):
+        assert modname == "cuda.bindings.nvjitlink"
+        assert probe_function is None
+        return object()
+
+    monkeypatch.setattr(_linker, "_optional_cuda_import", fake__optional_cuda_import)
+    monkeypatch.setattr(_linker, "_nvjitlink_has_version_symbol", lambda _nvjitlink: False)
+
+    with pytest.warns(RuntimeWarning, match="too old \\(<12.3\\)"):
+        use_driver_backend = _linker._decide_nvjitlink_or_driver()
+
+    assert use_driver_backend is True
+    assert _linker._use_nvjitlink_backend is False
+
+
+@pytest.mark.agent_authored(model="grok-4.5")
+def test_decide_nvjitlink_or_driver_selects_nvjitlink_when_version_symbol_present(monkeypatch):
+    def fake__optional_cuda_import(modname, probe_function=None):
+        assert modname == "cuda.bindings.nvjitlink"
+        assert probe_function is None
+        return object()
+
+    monkeypatch.setattr(_linker, "_optional_cuda_import", fake__optional_cuda_import)
+    monkeypatch.setattr(_linker, "_nvjitlink_has_version_symbol", lambda _nvjitlink: True)
+
+    use_driver_backend = _linker._decide_nvjitlink_or_driver()
+
+    assert use_driver_backend is False
+    assert _linker._use_nvjitlink_backend is True
+
+
+@pytest.mark.agent_authored(model="grok-4.5")
+def test_decide_nvjitlink_or_driver_does_not_call_version(monkeypatch):
+    """Regression guard for #2408: must not call module.version()."""
+    called = {"version": False, "inspect": False}
+
+    class FakeModule:
+        def version(self):
+            called["version"] = True
+            raise AssertionError("module.version() must not be used for nvJitLink probing")
+
+    def fake_has_version(_nvjitlink):
+        called["inspect"] = True
+        return True
+
+    def fake__optional_cuda_import(modname, probe_function=None):
+        assert modname == "cuda.bindings.nvjitlink"
+        assert probe_function is None
+        return FakeModule()
+
+    monkeypatch.setattr(_linker, "_optional_cuda_import", fake__optional_cuda_import)
+    monkeypatch.setattr(_linker, "_nvjitlink_has_version_symbol", fake_has_version)
+
+    assert _linker._decide_nvjitlink_or_driver() is False
+    assert called["inspect"] is True
+    assert called["version"] is False
diff --git a/cuda_core/tests/test_program.py b/cuda_core/tests/test_program.py
index a9dc4966346..28465425c0e 100644
--- a/cuda_core/tests/test_program.py
+++ b/cuda_core/tests/test_program.py
@@ -351,6 +351,16 @@ def test_program_init_invalid_code_format():
         Program(code, "c++")
 
 
+# arch is passed explicitly so the current device is not queried.
+@pytest.mark.agent_authored(model="claude-opus-5")
+@pytest.mark.parametrize("name", [None, "my_program"])
+def test_program_options_name_accepts_none(name):
+    options = ProgramOptions(name=name, arch="sm_90")
+    expected = "default_program" if name is None else name
+    assert options.name == expected
+    assert options._name == expected.encode()
+
+
 # This is tested against the current device's arch
 def test_program_compile_valid_target_type(init_cuda):
     code = 'extern "C" __global__ void my_kernel() {}'
diff --git a/cuda_core/tests/test_stream.py b/cuda_core/tests/test_stream.py
index 49e372c9d53..55f34bbc9ec 100644
--- a/cuda_core/tests/test_stream.py
+++ b/cuda_core/tests/test_stream.py
@@ -303,3 +303,169 @@ def test_default_stream_consistency(init_cuda):
     # Should be same object (or at least equal)
     assert default1 == default2
     assert hash(default1) == hash(default2)
+
+
+class _BadStreamProtocol:
+    """Object whose __cuda_stream__ (a method) returns a malformed value."""
+
+    def __init__(self, value):
+        self._value = value
+
+    def __cuda_stream__(self):
+        return self._value
+
+
+class _AttrStreamProtocol:
+    """Object implementing __cuda_stream__ as an attribute (deprecated form)
+    rather than a method; the tuple length is wrong so resolution stops before
+    any GPU work."""
+
+    __cuda_stream__ = (0, 1, 2)
+
+
+@pytest.mark.agent_authored(model="claude-opus-4.8")
+def test_stream_init_rejects_obj_and_options():
+    """Stream._init rejects supplying both a foreign object and options."""
+    from cuda.core._stream import Stream
+
+    with pytest.raises(ValueError, match="obj and options cannot be both specified"):
+        Stream._init(obj=_BadStreamProtocol((0, 0)), options=StreamOptions())
+
+
+@pytest.mark.agent_authored(model="claude-opus-4.8")
+@pytest.mark.parametrize(
+    "value,match",
+    [
+        ((0, 1, 2), "must return a sequence with 2 elements"),  # wrong length
+        (5, "must return a sequence with 2 elements"),  # not a sequence
+        ((1, 123), r"first element of the sequence.*must be 0"),  # bad version
+    ],
+)
+def test_stream_init_rejects_bad_cuda_stream_protocol(value, match):
+    """A foreign object whose __cuda_stream__ returns a malformed value is
+    rejected before any handle is created."""
+    from cuda.core._stream import Stream
+
+    with pytest.raises(RuntimeError, match=match):
+        Stream._init(obj=_BadStreamProtocol(value))
+
+
+@pytest.mark.agent_authored(model="claude-opus-4.8")
+def test_stream_init_warns_on_attribute_cuda_stream_protocol():
+    """Implementing __cuda_stream__ as an attribute (not a method) is deprecated:
+    resolution emits a DeprecationWarning and then still rejects the malformed
+    (wrong-length) value with a RuntimeError."""
+    from cuda.core._stream import Stream
+
+    with (
+        pytest.warns(DeprecationWarning, match="must be implemented as a method"),
+        pytest.raises(RuntimeError, match="must return a sequence with 2 elements"),
+    ):
+        Stream._init(obj=_AttrStreamProtocol())
+
+
+@pytest.mark.agent_authored(model="claude-opus-4.8")
+def test_stream_init_from_existing_stream_object(init_cuda):
+    """Passing an existing Stream as the foreign object yields a borrowed stream over the same handle."""
+    from cuda.core._stream import Stream
+
+    src = Device().create_stream(options=StreamOptions())
+    borrowed = Stream._init(obj=src)
+    assert int(borrowed.handle) == int(src.handle)
+    borrowed.close()
+    src.close()
+
+
+@pytest.mark.agent_authored(model="claude-opus-4.8")
+def test_stream_from_handle_lazy_flag_and_priority_queries(init_cuda):
+    """A from_handle stream reports is_nonblocking and priority read back from the
+    driver (matching the source stream), not the constructor defaults."""
+    from cuda.core._stream import Stream
+
+    # priority=-1 (not the default 0) so the value proves the driver was actually queried.
+    real = Device().create_stream(options=StreamOptions(nonblocking=True, priority=-1))
+    wrapped = Stream.from_handle(int(real.handle))
+    assert wrapped.is_nonblocking is True
+    assert wrapped.priority == -1
+    wrapped.close()
+    real.close()
+
+
+@pytest.mark.agent_authored(model="claude-opus-4.8")
+@pytest.mark.thread_unsafe(
+    reason="mutates the process-global CUDA_PYTHON_CUDA_PER_THREAD_DEFAULT_STREAM env var that default_stream() reads live"
+)
+def test_default_stream_per_thread_when_env_set(monkeypatch):
+    """default_stream() returns the per-thread default stream when
+    CUDA_PYTHON_CUDA_PER_THREAD_DEFAULT_STREAM is set to a nonzero value, and the
+    legacy default stream otherwise."""
+    from cuda.core._stream import default_stream
+
+    monkeypatch.setenv("CUDA_PYTHON_CUDA_PER_THREAD_DEFAULT_STREAM", "1")
+    assert default_stream() is PER_THREAD_DEFAULT_STREAM
+    monkeypatch.delenv("CUDA_PYTHON_CUDA_PER_THREAD_DEFAULT_STREAM", raising=False)
+    assert default_stream() is LEGACY_DEFAULT_STREAM
+
+
+def _skip_unless_multi_gpu():
+    from cuda.core import system
+
+    if system.get_num_devices() < 2:
+        pytest.skip("requires 2+ GPUs")
+
+
+@pytest.mark.agent_authored(model="claude-opus-5")
+@pytest.mark.parametrize("stream", [LEGACY_DEFAULT_STREAM, PER_THREAD_DEFAULT_STREAM])
+def test_default_stream_follows_current_context(stream):
+    """A default-stream token denotes whatever context is current, so its
+    queries follow a context switch instead of reporting the first context
+    they ever saw (issue #2485)."""
+    _skip_unless_multi_gpu()
+
+    for device_id in (0, 1, 0):
+        dev = Device(device_id)
+        dev.set_current()
+        assert stream.device.device_id == device_id
+        assert stream.context == dev.context
+        assert stream.record().context == dev.context
+        # Exercise Stream.resources and check it tracks the same context
+        # resolution as .context (issue #2485).
+        assert stream.resources.sm.sm_count == stream.context.resources.sm.sm_count
+        assert stream.resources.sm.sm_count == dev.resources.sm.sm_count
+
+
+@pytest.mark.agent_authored(model="claude-opus-5")
+def test_default_stream_first_touch_does_not_pin_context():
+    """Any query resolves the context, including repr(), so logging a default
+    stream must not bind the singleton to whichever context happened to be
+    current at the time (issue #2485)."""
+    _skip_unless_multi_gpu()
+
+    Device(1).set_current()
+    repr(LEGACY_DEFAULT_STREAM)
+
+    dev0 = Device(0)
+    dev0.set_current()
+    assert LEGACY_DEFAULT_STREAM.device.device_id == 0
+    assert LEGACY_DEFAULT_STREAM.context == dev0.context
+
+
+@pytest.mark.agent_authored(model="claude-opus-5")
+def test_created_stream_keeps_its_own_context():
+    """A created stream has a context fixed at creation and keeps reporting it
+    across a switch; only default-stream tokens follow the current context
+    (issue #2485)."""
+    _skip_unless_multi_gpu()
+
+    dev0 = Device(0)
+    dev0.set_current()
+    stream = dev0.create_stream()
+    assert stream.context == dev0.context
+
+    try:
+        Device(1).set_current()
+        assert stream.device.device_id == 0
+        assert stream.context == dev0.context
+    finally:
+        dev0.set_current()
+        stream.close()
diff --git a/cuda_core/tests/test_tensor_map.py b/cuda_core/tests/test_tensor_map.py
index b2d6cbd6c61..a9e6432b33e 100644
--- a/cuda_core/tests/test_tensor_map.py
+++ b/cuda_core/tests/test_tensor_map.py
@@ -3,8 +3,8 @@
 
 import numpy as np
 import pytest
-
 from conftest import create_managed_memory_resource_or_skip, skip_if_managed_memory_unsupported
+
 from cuda.core import (
     Device,
     ManagedMemoryResourceOptions,
@@ -19,7 +19,9 @@
     TensorMapL2Promotion,
     TensorMapOOBFill,
     TensorMapSwizzle,
+    _coerce_tensor_map_descriptor_options,
     _require_view_device,
+    _resolve_data_type,
 )
 from cuda.core.utils import StridedMemoryView
 
@@ -648,3 +650,67 @@ def test_from_im2col_wide_rank_validation(self, dev, skip_if_no_im2col_wide):
                 pixels_per_column=4,
                 data_type=TensorMapDataType.FLOAT32,
             )
+
+
+class _DtypeView:
+    """Minimal stand-in for a StridedMemoryView exposing only ``.dtype``.
+
+    ``_resolve_data_type`` reads nothing else off the view, so this keeps the
+    host-only tests free of any GPU allocation.
+    """
+
+    def __init__(self, dtype):
+        self.dtype = dtype
+
+
+@pytest.mark.agent_authored(model="claude-opus-4.8")
+class TestTensorMapHelpers:
+    """Host-only coverage for the arg-marshalling helpers' input-validation branches.
+
+    The happy-path normalize/coerce/resolve/stride cases are covered by the TMA
+    factory-method tests above once they run on TMA-capable hardware (e.g. the H200
+    coverage runner). Only the rejection branches those tests never hit — real
+    devices never feed bad inputs — are pinned here.
+    """
+
+    # Rejected by the public TensorMapDescriptorOptions(...) constructor, whose
+    # __post_init__ runs the normalize/require-enum helpers.
+    @pytest.mark.parametrize(
+        ("kwargs", "match"),
+        [
+            (dict(box_dim=5), "box_dim must be a tuple of ints"),
+            (dict(box_dim=(1, "x", 3)), r"box_dim\[1\] must be an int"),
+            (dict(box_dim=(32,), swizzle=2), "swizzle must be a TensorMapSwizzle"),
+            (dict(box_dim=(32,), interleave=0), "interleave must be a TensorMapInterleave"),
+        ],
+        ids=["box_dim_non_iterable", "box_dim_non_int_element", "swizzle_wrong_type", "interleave_wrong_type"],
+    )
+    def test_options_rejects_invalid(self, kwargs, match):
+        with pytest.raises(TypeError, match=match):
+            TensorMapDescriptorOptions(**kwargs)
+
+    @pytest.mark.parametrize(
+        ("view_dtype", "data_type", "match"),
+        [
+            (None, np.complex128, "Unsupported dtype"),  # explicit unsupported dtype
+            (None, None, "Cannot infer TMA data type"),  # nothing to infer from
+            (np.dtype(np.complex64), None, "Unsupported dtype"),  # view's dtype unsupported
+        ],
+        ids=["explicit_unsupported", "cannot_infer", "view_dtype_unsupported"],
+    )
+    def test_resolve_data_type_rejects(self, view_dtype, data_type, match):
+        with pytest.raises(ValueError, match=match):
+            _resolve_data_type(_DtypeView(view_dtype), data_type)
+
+    def test_coerce_requires_box_dim_without_options(self):
+        with pytest.raises(TypeError, match="box_dim is required unless options is provided"):
+            _coerce_tensor_map_descriptor_options(
+                None,
+                None,
+                element_strides=None,
+                data_type=None,
+                interleave=TensorMapInterleave.NONE,
+                swizzle=TensorMapSwizzle.NONE,
+                l2_promotion=TensorMapL2Promotion.NONE,
+                oob_fill=TensorMapOOBFill.NONE,
+            )
diff --git a/cuda_core/tests/test_utils.py b/cuda_core/tests/test_utils.py
index e637aac0a0f..c0dffc5a323 100644
--- a/cuda_core/tests/test_utils.py
+++ b/cuda_core/tests/test_utils.py
@@ -27,7 +27,7 @@
     ml_dtypes = None
 import numpy as np
 import pytest
-from helpers.marks import requires_module
+from cuda_python_test_helpers.marks import requires_module
 
 from cuda.core import Device
 from cuda.core._dlpack import DLDeviceType
diff --git a/cuda_pathfinder/cuda/pathfinder/__init__.py b/cuda_pathfinder/cuda/pathfinder/__init__.py
index dc818dfd08f..a64b5ef64c7 100644
--- a/cuda_pathfinder/cuda/pathfinder/__init__.py
+++ b/cuda_pathfinder/cuda/pathfinder/__init__.py
@@ -20,9 +20,7 @@
 )
 from cuda.pathfinder._dynamic_libs.load_dl_common import LoadedDL as LoadedDL
 from cuda.pathfinder._dynamic_libs.load_nvidia_dynamic_lib import load_nvidia_dynamic_lib as load_nvidia_dynamic_lib
-from cuda.pathfinder._dynamic_libs.supported_nvidia_libs import (
-    SUPPORTED_LIBNAMES as SUPPORTED_NVIDIA_LIBNAMES,
-)
+from cuda.pathfinder._dynamic_libs.supported_nvidia_libs import SUPPORTED_LIBNAMES as _SUPPORTED_NVIDIA_LIBNAMES
 from cuda.pathfinder._headers.find_nvidia_headers import LocatedHeaderDir as LocatedHeaderDir
 from cuda.pathfinder._headers.find_nvidia_headers import find_nvidia_header_directory as find_nvidia_header_directory
 from cuda.pathfinder._headers.find_nvidia_headers import (
@@ -60,6 +58,7 @@
     locate_static_lib as locate_static_lib,
 )
 from cuda.pathfinder._utils.env_vars import get_cuda_path_or_home as get_cuda_path_or_home
+from cuda.pathfinder._utils.windows_arch import UnsupportedArchError as UnsupportedArchError
 
 from cuda.pathfinder._version import __version__  # isort: skip
 
@@ -76,6 +75,11 @@
 #: Example utilities: ``"nvdisasm"``, ``"cuobjdump"``, ``"nvcc"``.
 SUPPORTED_BINARY_UTILITIES = _SUPPORTED_BINARIES
 
+#: Tuple of CUDA Toolkit dynamic library names supported by
+#: :func:`load_nvidia_dynamic_lib` for the current operating system and
+#: interpreter architecture.
+SUPPORTED_NVIDIA_LIBNAMES = _SUPPORTED_NVIDIA_LIBNAMES
+
 #: Tuple of supported bitcode library names that can be resolved
 #: via ``locate_bitcode_lib()`` and ``find_bitcode_lib()``.
 #: Example value: ``"device"``.
diff --git a/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/descriptor_catalog.py b/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/descriptor_catalog.py
index 378744ea420..613a998e33b 100644
--- a/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/descriptor_catalog.py
+++ b/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/descriptor_catalog.py
@@ -6,11 +6,53 @@
 from __future__ import annotations
 
 from dataclasses import dataclass
+from pathlib import PurePosixPath
 from typing import Literal
 
 from cuda.pathfinder._utils.ctk_root_canary import CTK_ROOT_CANARY_ANCHOR_LIBNAMES
 
 PackagedWith = Literal["ctk", "other", "driver"]
+WindowsArch = Literal["x64", "arm64"]
+
+
+@dataclass(frozen=True, slots=True)
+class WindowsSearchDirs:
+    """Ordered Windows search locations grouped by process architecture."""
+
+    x64: tuple[str, ...] = ()
+    arm64: tuple[str, ...] = ()
+
+    @classmethod
+    def x64_only(cls, *paths: str) -> WindowsSearchDirs:
+        return cls(x64=paths)
+
+    @classmethod
+    def arm64_only(cls, *paths: str) -> WindowsSearchDirs:
+        return cls(arm64=paths)
+
+    def for_arch(self, target_arch: str) -> tuple[str, ...]:
+        if target_arch == "x64":
+            return self.x64
+        if target_arch == "arm64":
+            return self.arm64
+        raise ValueError(f"Unsupported Windows target architecture: {target_arch!r}")
+
+
+# Windows CTK before 13.4 was x64-only and used the common bin directory.
+# Native ARM64 support starts with the architecture-qualified 13.4 layout.
+DEFAULT_WINDOWS_CTK_ANCHOR_DIRS = WindowsSearchDirs(
+    x64=("bin/x64", "bin"),
+    arm64=("bin/arm64",),
+)
+
+
+def _ctk_windows_wheel_dirs(cuda13_bin_dir: str, cuda12_dir: str) -> WindowsSearchDirs:
+    """Search CUDA 13 first, with the x64-only CUDA 12 wheel as an x64 fallback."""
+    cuda13_bin_path = PurePosixPath(cuda13_bin_dir)
+    return WindowsSearchDirs(
+        x64=((cuda13_bin_path / "x86_64").as_posix(), cuda12_dir),
+        arm64=((cuda13_bin_path / "arm64").as_posix(),),
+    )
 
 
 @dataclass(frozen=True, slots=True)
@@ -19,14 +61,16 @@ class DescriptorSpec:
     packaged_with: PackagedWith
     linux_sonames: tuple[str, ...] = ()
     windows_dlls: tuple[str, ...] = ()
+    supported_windows_arch: tuple[WindowsArch, ...] = ()
     site_packages_linux: tuple[str, ...] = ()
-    site_packages_windows: tuple[str, ...] = ()
+    site_packages_windows: WindowsSearchDirs = WindowsSearchDirs()
     dependencies: tuple[str, ...] = ()
     anchor_rel_dirs_linux: tuple[str, ...] = ("lib64", "lib")
-    anchor_rel_dirs_windows: tuple[str, ...] = ("bin/x64", "bin")
+    anchor_rel_dirs_windows: WindowsSearchDirs = DEFAULT_WINDOWS_CTK_ANCHOR_DIRS
     ctk_root_canary_anchor_libnames: tuple[str, ...] = ()
     requires_add_dll_directory: bool = False
     requires_rtld_deepbind: bool = False
+    requires_windows_binary_arch_check: bool = False
 
 
 DESCRIPTOR_CATALOG: tuple[DescriptorSpec, ...] = (
@@ -38,32 +82,36 @@ class DescriptorSpec:
         packaged_with="ctk",
         linux_sonames=("libcudart.so.12", "libcudart.so.13"),
         windows_dlls=("cudart64_12.dll", "cudart64_13.dll"),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/cuda_runtime/lib"),
-        site_packages_windows=("nvidia/cu13/bin/x86_64", "nvidia/cuda_runtime/bin"),
+        site_packages_windows=_ctk_windows_wheel_dirs("nvidia/cu13/bin", "nvidia/cuda_runtime/bin"),
     ),
     DescriptorSpec(
         name="nvfatbin",
         packaged_with="ctk",
         linux_sonames=("libnvfatbin.so.12", "libnvfatbin.so.13"),
         windows_dlls=("nvfatbin_120_0.dll", "nvfatbin_130_0.dll"),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/nvfatbin/lib"),
-        site_packages_windows=("nvidia/cu13/bin/x86_64", "nvidia/nvfatbin/bin"),
+        site_packages_windows=_ctk_windows_wheel_dirs("nvidia/cu13/bin", "nvidia/nvfatbin/bin"),
     ),
     DescriptorSpec(
         name="nvJitLink",
         packaged_with="ctk",
         linux_sonames=("libnvJitLink.so.12", "libnvJitLink.so.13"),
         windows_dlls=("nvJitLink_120_0.dll", "nvJitLink_130_0.dll"),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/nvjitlink/lib"),
-        site_packages_windows=("nvidia/cu13/bin/x86_64", "nvidia/nvjitlink/bin"),
+        site_packages_windows=_ctk_windows_wheel_dirs("nvidia/cu13/bin", "nvidia/nvjitlink/bin"),
     ),
     DescriptorSpec(
         name="nvrtc",
         packaged_with="ctk",
         linux_sonames=("libnvrtc.so.12", "libnvrtc.so.13"),
         windows_dlls=("nvrtc64_120_0.dll", "nvrtc64_130_0.dll"),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/cuda_nvrtc/lib"),
-        site_packages_windows=("nvidia/cu13/bin/x86_64", "nvidia/cuda_nvrtc/bin"),
+        site_packages_windows=_ctk_windows_wheel_dirs("nvidia/cu13/bin", "nvidia/cuda_nvrtc/bin"),
         requires_add_dll_directory=True,
     ),
     DescriptorSpec(
@@ -71,19 +119,31 @@ class DescriptorSpec:
         packaged_with="ctk",
         linux_sonames=("libnvvm.so.4",),
         windows_dlls=("nvvm64.dll", "nvvm64_40_0.dll", "nvvm70.dll"),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/cuda_nvcc/nvvm/lib64"),
-        site_packages_windows=("nvidia/cu13/bin/x86_64", "nvidia/cuda_nvcc/nvvm/bin"),
+        site_packages_windows=_ctk_windows_wheel_dirs("nvidia/cu13/bin", "nvidia/cuda_nvcc/nvvm/bin"),
         anchor_rel_dirs_linux=("nvvm/lib64",),
-        anchor_rel_dirs_windows=("nvvm/bin/*", "nvvm/bin"),
+        # CTK 13.4 installs the ARM64 DLL directly in nvvm/bin, while x64
+        # uses nvvm/bin/x64. Older x64 toolkits also used nvvm/bin, so the
+        # binary in the unqualified directory must be checked at runtime.
+        anchor_rel_dirs_windows=WindowsSearchDirs(
+            x64=("nvvm/bin/x64", "nvvm/bin"),
+            arm64=("nvvm/bin",),
+        ),
         ctk_root_canary_anchor_libnames=CTK_ROOT_CANARY_ANCHOR_LIBNAMES,
+        # requires_windows_binary_arch_check disambiguates pre-13.4 x64 DLLs
+        # from 13.4+ Arm64 DLLs in nvvm/bin; see
+        # _utils/windows_arch.py for the validation.
+        requires_windows_binary_arch_check=True,
     ),
     DescriptorSpec(
         name="cublas",
         packaged_with="ctk",
         linux_sonames=("libcublas.so.12", "libcublas.so.13"),
         windows_dlls=("cublas64_12.dll", "cublas64_13.dll"),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/cublas/lib"),
-        site_packages_windows=("nvidia/cu13/bin/x86_64", "nvidia/cublas/bin"),
+        site_packages_windows=_ctk_windows_wheel_dirs("nvidia/cu13/bin", "nvidia/cublas/bin"),
         dependencies=("cublasLt",),
     ),
     DescriptorSpec(
@@ -91,16 +151,18 @@ class DescriptorSpec:
         packaged_with="ctk",
         linux_sonames=("libcublasLt.so.12", "libcublasLt.so.13"),
         windows_dlls=("cublasLt64_12.dll", "cublasLt64_13.dll"),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/cublas/lib"),
-        site_packages_windows=("nvidia/cu13/bin/x86_64", "nvidia/cublas/bin"),
+        site_packages_windows=_ctk_windows_wheel_dirs("nvidia/cu13/bin", "nvidia/cublas/bin"),
     ),
     DescriptorSpec(
         name="cufft",
         packaged_with="ctk",
         linux_sonames=("libcufft.so.11", "libcufft.so.12"),
         windows_dlls=("cufft64_11.dll", "cufft64_12.dll"),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/cufft/lib"),
-        site_packages_windows=("nvidia/cu13/bin/x86_64", "nvidia/cufft/bin"),
+        site_packages_windows=_ctk_windows_wheel_dirs("nvidia/cu13/bin", "nvidia/cufft/bin"),
         requires_add_dll_directory=True,
     ),
     DescriptorSpec(
@@ -108,8 +170,9 @@ class DescriptorSpec:
         packaged_with="ctk",
         linux_sonames=("libcufftw.so.11", "libcufftw.so.12"),
         windows_dlls=("cufftw64_11.dll", "cufftw64_12.dll"),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/cufft/lib"),
-        site_packages_windows=("nvidia/cu13/bin/x86_64", "nvidia/cufft/bin"),
+        site_packages_windows=_ctk_windows_wheel_dirs("nvidia/cu13/bin", "nvidia/cufft/bin"),
         dependencies=("cufft",),
     ),
     DescriptorSpec(
@@ -117,16 +180,18 @@ class DescriptorSpec:
         packaged_with="ctk",
         linux_sonames=("libcurand.so.10", "libcurand.so.11"),
         windows_dlls=("curand64_10.dll", "curand64_11.dll"),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/curand/lib"),
-        site_packages_windows=("nvidia/cu13/bin/x86_64", "nvidia/curand/bin"),
+        site_packages_windows=_ctk_windows_wheel_dirs("nvidia/cu13/bin", "nvidia/curand/bin"),
     ),
     DescriptorSpec(
         name="cusolver",
         packaged_with="ctk",
         linux_sonames=("libcusolver.so.11", "libcusolver.so.12"),
         windows_dlls=("cusolver64_11.dll", "cusolver64_12.dll"),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/cusolver/lib"),
-        site_packages_windows=("nvidia/cu13/bin/x86_64", "nvidia/cusolver/bin"),
+        site_packages_windows=_ctk_windows_wheel_dirs("nvidia/cu13/bin", "nvidia/cusolver/bin"),
         dependencies=("nvJitLink", "cusparse", "cublasLt", "cublas"),
     ),
     DescriptorSpec(
@@ -134,8 +199,9 @@ class DescriptorSpec:
         packaged_with="ctk",
         linux_sonames=("libcusolverMg.so.11", "libcusolverMg.so.12"),
         windows_dlls=("cusolverMg64_11.dll", "cusolverMg64_12.dll"),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/cusolver/lib"),
-        site_packages_windows=("nvidia/cu13/bin/x86_64", "nvidia/cusolver/bin"),
+        site_packages_windows=_ctk_windows_wheel_dirs("nvidia/cu13/bin", "nvidia/cusolver/bin"),
         dependencies=("nvJitLink", "cublasLt", "cublas"),
     ),
     DescriptorSpec(
@@ -143,8 +209,9 @@ class DescriptorSpec:
         packaged_with="ctk",
         linux_sonames=("libcusparse.so.12",),
         windows_dlls=("cusparse64_12.dll",),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/cusparse/lib"),
-        site_packages_windows=("nvidia/cu13/bin/x86_64", "nvidia/cusparse/bin"),
+        site_packages_windows=_ctk_windows_wheel_dirs("nvidia/cu13/bin", "nvidia/cusparse/bin"),
         dependencies=("nvJitLink",),
     ),
     DescriptorSpec(
@@ -152,16 +219,18 @@ class DescriptorSpec:
         packaged_with="ctk",
         linux_sonames=("libnppc.so.12", "libnppc.so.13"),
         windows_dlls=("nppc64_12.dll", "nppc64_13.dll"),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/npp/lib"),
-        site_packages_windows=("nvidia/cu13/bin/x86_64", "nvidia/npp/bin"),
+        site_packages_windows=_ctk_windows_wheel_dirs("nvidia/cu13/bin", "nvidia/npp/bin"),
     ),
     DescriptorSpec(
         name="nppial",
         packaged_with="ctk",
         linux_sonames=("libnppial.so.12", "libnppial.so.13"),
         windows_dlls=("nppial64_12.dll", "nppial64_13.dll"),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/npp/lib"),
-        site_packages_windows=("nvidia/cu13/bin/x86_64", "nvidia/npp/bin"),
+        site_packages_windows=_ctk_windows_wheel_dirs("nvidia/cu13/bin", "nvidia/npp/bin"),
         dependencies=("nppc",),
     ),
     DescriptorSpec(
@@ -169,8 +238,9 @@ class DescriptorSpec:
         packaged_with="ctk",
         linux_sonames=("libnppicc.so.12", "libnppicc.so.13"),
         windows_dlls=("nppicc64_12.dll", "nppicc64_13.dll"),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/npp/lib"),
-        site_packages_windows=("nvidia/cu13/bin/x86_64", "nvidia/npp/bin"),
+        site_packages_windows=_ctk_windows_wheel_dirs("nvidia/cu13/bin", "nvidia/npp/bin"),
         dependencies=("nppc",),
     ),
     DescriptorSpec(
@@ -178,8 +248,9 @@ class DescriptorSpec:
         packaged_with="ctk",
         linux_sonames=("libnppidei.so.12", "libnppidei.so.13"),
         windows_dlls=("nppidei64_12.dll", "nppidei64_13.dll"),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/npp/lib"),
-        site_packages_windows=("nvidia/cu13/bin/x86_64", "nvidia/npp/bin"),
+        site_packages_windows=_ctk_windows_wheel_dirs("nvidia/cu13/bin", "nvidia/npp/bin"),
         dependencies=("nppc",),
     ),
     DescriptorSpec(
@@ -187,8 +258,9 @@ class DescriptorSpec:
         packaged_with="ctk",
         linux_sonames=("libnppif.so.12", "libnppif.so.13"),
         windows_dlls=("nppif64_12.dll", "nppif64_13.dll"),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/npp/lib"),
-        site_packages_windows=("nvidia/cu13/bin/x86_64", "nvidia/npp/bin"),
+        site_packages_windows=_ctk_windows_wheel_dirs("nvidia/cu13/bin", "nvidia/npp/bin"),
         dependencies=("nppc",),
     ),
     DescriptorSpec(
@@ -196,8 +268,9 @@ class DescriptorSpec:
         packaged_with="ctk",
         linux_sonames=("libnppig.so.12", "libnppig.so.13"),
         windows_dlls=("nppig64_12.dll", "nppig64_13.dll"),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/npp/lib"),
-        site_packages_windows=("nvidia/cu13/bin/x86_64", "nvidia/npp/bin"),
+        site_packages_windows=_ctk_windows_wheel_dirs("nvidia/cu13/bin", "nvidia/npp/bin"),
         dependencies=("nppc",),
     ),
     DescriptorSpec(
@@ -205,8 +278,9 @@ class DescriptorSpec:
         packaged_with="ctk",
         linux_sonames=("libnppim.so.12", "libnppim.so.13"),
         windows_dlls=("nppim64_12.dll", "nppim64_13.dll"),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/npp/lib"),
-        site_packages_windows=("nvidia/cu13/bin/x86_64", "nvidia/npp/bin"),
+        site_packages_windows=_ctk_windows_wheel_dirs("nvidia/cu13/bin", "nvidia/npp/bin"),
         dependencies=("nppc",),
     ),
     DescriptorSpec(
@@ -214,8 +288,9 @@ class DescriptorSpec:
         packaged_with="ctk",
         linux_sonames=("libnppist.so.12", "libnppist.so.13"),
         windows_dlls=("nppist64_12.dll", "nppist64_13.dll"),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/npp/lib"),
-        site_packages_windows=("nvidia/cu13/bin/x86_64", "nvidia/npp/bin"),
+        site_packages_windows=_ctk_windows_wheel_dirs("nvidia/cu13/bin", "nvidia/npp/bin"),
         dependencies=("nppc",),
     ),
     DescriptorSpec(
@@ -223,8 +298,9 @@ class DescriptorSpec:
         packaged_with="ctk",
         linux_sonames=("libnppisu.so.12", "libnppisu.so.13"),
         windows_dlls=("nppisu64_12.dll", "nppisu64_13.dll"),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/npp/lib"),
-        site_packages_windows=("nvidia/cu13/bin/x86_64", "nvidia/npp/bin"),
+        site_packages_windows=_ctk_windows_wheel_dirs("nvidia/cu13/bin", "nvidia/npp/bin"),
         dependencies=("nppc",),
     ),
     DescriptorSpec(
@@ -232,8 +308,9 @@ class DescriptorSpec:
         packaged_with="ctk",
         linux_sonames=("libnppitc.so.12", "libnppitc.so.13"),
         windows_dlls=("nppitc64_12.dll", "nppitc64_13.dll"),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/npp/lib"),
-        site_packages_windows=("nvidia/cu13/bin/x86_64", "nvidia/npp/bin"),
+        site_packages_windows=_ctk_windows_wheel_dirs("nvidia/cu13/bin", "nvidia/npp/bin"),
         dependencies=("nppc",),
     ),
     DescriptorSpec(
@@ -241,8 +318,9 @@ class DescriptorSpec:
         packaged_with="ctk",
         linux_sonames=("libnpps.so.12", "libnpps.so.13"),
         windows_dlls=("npps64_12.dll", "npps64_13.dll"),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/npp/lib"),
-        site_packages_windows=("nvidia/cu13/bin/x86_64", "nvidia/npp/bin"),
+        site_packages_windows=_ctk_windows_wheel_dirs("nvidia/cu13/bin", "nvidia/npp/bin"),
         dependencies=("nppc",),
     ),
     DescriptorSpec(
@@ -250,8 +328,9 @@ class DescriptorSpec:
         packaged_with="ctk",
         linux_sonames=("libnvblas.so.12", "libnvblas.so.13"),
         windows_dlls=("nvblas64_12.dll", "nvblas64_13.dll"),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/cublas/lib"),
-        site_packages_windows=("nvidia/cu13/bin/x86_64", "nvidia/cublas/bin"),
+        site_packages_windows=_ctk_windows_wheel_dirs("nvidia/cu13/bin", "nvidia/cublas/bin"),
         dependencies=("cublas", "cublasLt"),
     ),
     DescriptorSpec(
@@ -259,8 +338,9 @@ class DescriptorSpec:
         packaged_with="ctk",
         linux_sonames=("libnvjpeg.so.12", "libnvjpeg.so.13"),
         windows_dlls=("nvjpeg64_12.dll", "nvjpeg64_13.dll"),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/nvjpeg/lib"),
-        site_packages_windows=("nvidia/cu13/bin/x86_64", "nvidia/nvjpeg/bin"),
+        site_packages_windows=_ctk_windows_wheel_dirs("nvidia/cu13/bin", "nvidia/nvjpeg/bin"),
     ),
     DescriptorSpec(
         name="cufile",
@@ -290,10 +370,16 @@ class DescriptorSpec:
             "cupti64_2023.1.1.dll",
             "cupti64_2022.4.1.dll",
         ),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/cuda_cupti/lib"),
-        site_packages_windows=("nvidia/cu13/bin/x86_64", "nvidia/cuda_cupti/bin"),
+        site_packages_windows=_ctk_windows_wheel_dirs("nvidia/cu13/bin", "nvidia/cuda_cupti/bin"),
         anchor_rel_dirs_linux=("extras/CUPTI/lib64", "lib"),
-        anchor_rel_dirs_windows=("extras/CUPTI/lib64", "bin"),
+        # CTK 13.4 uses architecture-qualified CUPTI directories. Older
+        # Windows CUPTI toolkits were x64-only and used extras/CUPTI/lib64.
+        anchor_rel_dirs_windows=WindowsSearchDirs(
+            x64=("extras/CUPTI/lib/x64", "extras/CUPTI/lib64", "bin"),
+            arm64=("extras/CUPTI/lib/arm64",),
+        ),
         ctk_root_canary_anchor_libnames=CTK_ROOT_CANARY_ANCHOR_LIBNAMES,
     ),
     DescriptorSpec(
@@ -301,12 +387,11 @@ class DescriptorSpec:
         packaged_with="ctk",
         linux_sonames=("libcudla.so.1",),
         windows_dlls=("cudla.dll",),
+        supported_windows_arch=("arm64",),
         site_packages_linux=("nvidia/cu13/lib",),
         # No Windows pip wheel ships cudla.dll today; it is loaded from the local
         # CUDA Toolkit only, so site_packages_windows is intentionally left empty.
-        # The Windows CUDA Toolkit ships cudla.dll under per-architecture bin
-        # subdirs (e.g. bin/arm64 on N1X); search those ahead of the defaults.
-        anchor_rel_dirs_windows=("bin/arm64", "bin/x64", "bin"),
+        anchor_rel_dirs_windows=WindowsSearchDirs.arm64_only("bin/arm64"),
     ),
     # -----------------------------------------------------------------------
     # Third-party / separately packaged libraries
@@ -338,8 +423,12 @@ class DescriptorSpec:
         packaged_with="other",
         linux_sonames=("libmathdx.so.0",),
         windows_dlls=("mathdx64_0.dll",),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/cu12/lib"),
-        site_packages_windows=("nvidia/cu13/bin", "nvidia/cu12/bin"),
+        site_packages_windows=WindowsSearchDirs(
+            x64=("nvidia/cu13/bin", "nvidia/cu12/bin"),
+            arm64=("nvidia/cu13/bin", "nvidia/cu12/bin"),
+        ),
         dependencies=("nvrtc",),
     ),
     DescriptorSpec(
@@ -347,8 +436,12 @@ class DescriptorSpec:
         packaged_with="other",
         linux_sonames=("libcudss.so.0",),
         windows_dlls=("cudss64_0.dll",),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/cu12/lib"),
-        site_packages_windows=("nvidia/cu13/bin", "nvidia/cu12/bin"),
+        site_packages_windows=WindowsSearchDirs(
+            x64=("nvidia/cu13/bin", "nvidia/cu12/bin"),
+            arm64=("nvidia/cu13/bin", "nvidia/cu12/bin"),
+        ),
         dependencies=("cublas", "cublasLt"),
     ),
     DescriptorSpec(
@@ -356,16 +449,21 @@ class DescriptorSpec:
         packaged_with="other",
         linux_sonames=("libcusparseLt.so.0",),
         windows_dlls=("cusparseLt.dll",),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("nvidia/cu13/lib", "nvidia/cusparselt/lib"),
-        site_packages_windows=("nvidia/cu13/bin/x64", "nvidia/cusparselt/bin"),
+        site_packages_windows=WindowsSearchDirs(
+            x64=("nvidia/cu13/bin/x64", "nvidia/cusparselt/bin"),
+            arm64=("nvidia/cu13/bin/arm64",),
+        ),
     ),
     DescriptorSpec(
         name="cutensor",
         packaged_with="other",
         linux_sonames=("libcutensor.so.2",),
         windows_dlls=("cutensor.dll",),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("cutensor/lib",),
-        site_packages_windows=("cutensor/bin",),
+        site_packages_windows=WindowsSearchDirs(x64=("cutensor/bin",), arm64=("cutensor/bin",)),
         dependencies=("cublasLt",),
     ),
     DescriptorSpec(
@@ -373,8 +471,9 @@ class DescriptorSpec:
         packaged_with="other",
         linux_sonames=("libcutensorMg.so.2",),
         windows_dlls=("cutensorMg.dll",),
+        supported_windows_arch=("x64", "arm64"),
         site_packages_linux=("cutensor/lib",),
-        site_packages_windows=("cutensor/bin",),
+        site_packages_windows=WindowsSearchDirs(x64=("cutensor/bin",), arm64=("cutensor/bin",)),
         dependencies=("cutensor", "cublasLt"),
     ),
     DescriptorSpec(
@@ -452,6 +551,7 @@ class DescriptorSpec:
         packaged_with="driver",
         linux_sonames=("libcuda.so.1",),
         windows_dlls=("nvcuda.dll",),
+        supported_windows_arch=("x64", "arm64"),
     ),
     DescriptorSpec(
         name="nvcudla",
@@ -463,5 +563,6 @@ class DescriptorSpec:
         packaged_with="driver",
         linux_sonames=("libnvidia-ml.so.1",),
         windows_dlls=("nvml.dll",),
+        supported_windows_arch=("x64", "arm64"),
     ),
 )
diff --git a/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/load_dl_linux.py b/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/load_dl_linux.py
index 10a92c20830..24d4d67c9e2 100644
--- a/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/load_dl_linux.py
+++ b/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/load_dl_linux.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 
 from __future__ import annotations
@@ -7,6 +7,7 @@
 import ctypes
 import ctypes.util
 import os
+import sys
 from typing import TYPE_CHECKING, cast
 
 from cuda.pathfinder._dynamic_libs.load_dl_common import LoadedDL
@@ -14,7 +15,10 @@
 if TYPE_CHECKING:
     from cuda.pathfinder._dynamic_libs.lib_descriptor import LibDescriptor
 
-CDLL_MODE = os.RTLD_NOW | os.RTLD_GLOBAL
+if sys.platform == "linux":
+    CDLL_MODE = os.RTLD_NOW | os.RTLD_GLOBAL
+else:
+    CDLL_MODE = 0
 
 
 def _load_libdl() -> ctypes.CDLL:
@@ -132,27 +136,35 @@ def _candidate_sonames(desc: LibDescriptor) -> list[str]:
     return candidates
 
 
-def check_if_already_loaded_from_elsewhere(desc: LibDescriptor, _have_abs_path: bool) -> LoadedDL | None:
-    for soname in _candidate_sonames(desc):
-        try:
-            handle = ctypes.CDLL(soname, mode=os.RTLD_NOLOAD)
-        except OSError:
-            continue
-        else:
-            return LoadedDL(
-                abs_path_for_dynamic_library(desc.name, handle),
-                True,
-                handle._handle,
-                "was-already-loaded-from-elsewhere",
-            )
-    return None
-
-
-def _load_lib(desc: LibDescriptor, filename: str) -> ctypes.CDLL:
-    cdll_mode = CDLL_MODE
-    if desc.requires_rtld_deepbind:
-        cdll_mode |= os.RTLD_DEEPBIND
-    return ctypes.CDLL(filename, cdll_mode)
+if sys.platform == "linux":
+
+    def check_if_already_loaded_from_elsewhere(desc: LibDescriptor, _have_abs_path: bool) -> LoadedDL | None:
+        for soname in _candidate_sonames(desc):
+            try:
+                handle = ctypes.CDLL(soname, mode=os.RTLD_NOLOAD)
+            except OSError:
+                continue
+            else:
+                return LoadedDL(
+                    abs_path_for_dynamic_library(desc.name, handle),
+                    True,
+                    handle._handle,
+                    "was-already-loaded-from-elsewhere",
+                )
+        return None
+
+    def _load_lib(desc: LibDescriptor, filename: str) -> ctypes.CDLL:
+        cdll_mode = CDLL_MODE
+        if desc.requires_rtld_deepbind:
+            cdll_mode |= os.RTLD_DEEPBIND
+        return ctypes.CDLL(filename, cdll_mode)
+else:
+
+    def check_if_already_loaded_from_elsewhere(_desc: LibDescriptor, _have_abs_path: bool) -> LoadedDL | None:
+        raise RuntimeError(f"check_if_already_loaded_from_elsewhere() is not supported on platform {sys.platform!r}")
+
+    def _load_lib(_desc: LibDescriptor, _filename: str) -> ctypes.CDLL:
+        raise RuntimeError(f"_load_lib() is not supported on platform {sys.platform!r}")
 
 
 def load_with_system_search(desc: LibDescriptor) -> LoadedDL | None:
diff --git a/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/load_dl_windows.py b/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/load_dl_windows.py
index b2f61dfc9af..e9cfbb52366 100644
--- a/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/load_dl_windows.py
+++ b/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/load_dl_windows.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 
 from __future__ import annotations
@@ -7,6 +7,7 @@
 import ctypes.wintypes
 import os
 import struct
+import sys
 import warnings
 from typing import TYPE_CHECKING
 
@@ -22,7 +23,10 @@
 POINTER_ADDRESS_SPACE = 2 ** (struct.calcsize("P") * 8)
 
 # Set up kernel32 functions with proper types
-kernel32 = ctypes.windll.kernel32  # type: ignore[attr-defined]
+windll = getattr(ctypes, "windll", None)
+if windll is None:
+    raise RuntimeError("ctypes.windll is required on Windows")
+kernel32 = windll.kernel32
 
 # GetModuleHandleW
 kernel32.GetModuleHandleW.argtypes = [ctypes.wintypes.LPCWSTR]
@@ -45,6 +49,11 @@
 kernel32.GetModuleFileNameW.restype = ctypes.wintypes.DWORD
 
 
+# GetLastError
+kernel32.GetLastError.argtypes = []
+kernel32.GetLastError.restype = ctypes.wintypes.DWORD
+
+
 def ctypes_handle_to_unsigned_int(handle: ctypes.wintypes.HMODULE) -> int:
     """Convert ctypes HMODULE to unsigned int."""
     handle_uint = int(handle)
@@ -73,7 +82,8 @@ def add_dll_directory(dll_abs_path: str) -> None:
     # the directory must stay on the search path for the process lifetime, and
     # the handle has no finalizer, so dropping it does not remove the directory.
     try:
-        os.add_dll_directory(dirpath)  # type: ignore[attr-defined]
+        if sys.platform == "win32":
+            os.add_dll_directory(dirpath)
     except OSError as e:
         # Warn instead of failing silently; the PATH update below is a weaker
         # fallback that newer loaders may ignore.
@@ -96,7 +106,7 @@ def abs_path_for_dynamic_library(libname: str, handle: ctypes.wintypes.HMODULE)
     length = kernel32.GetModuleFileNameW(handle, buffer, len(buffer))
 
     if length == 0:
-        error_code = ctypes.GetLastError()  # type: ignore[attr-defined]
+        error_code = kernel32.GetLastError()
         raise RuntimeError(f"GetModuleFileNameW failed for {libname!r} (error code: {error_code})")
 
     # If buffer was too small, try with larger buffer
@@ -104,7 +114,7 @@ def abs_path_for_dynamic_library(libname: str, handle: ctypes.wintypes.HMODULE)
         buffer = ctypes.create_unicode_buffer(32768)  # Extended path length
         length = kernel32.GetModuleFileNameW(handle, buffer, len(buffer))
         if length == 0:
-            error_code = ctypes.GetLastError()  # type: ignore[attr-defined]
+            error_code = kernel32.GetLastError()
             raise RuntimeError(f"GetModuleFileNameW failed for {libname!r} (error code: {error_code})")
 
     return buffer.value
@@ -170,7 +180,7 @@ def load_with_abs_path(desc: LibDescriptor, found_path: str, found_via: str | No
     handle = kernel32.LoadLibraryExW(found_path, None, flags)
 
     if not handle:
-        error_code = ctypes.GetLastError()  # type: ignore[attr-defined]
+        error_code = kernel32.GetLastError()
         raise RuntimeError(f"Failed to load DLL at {found_path}: Windows error {error_code}")
 
     return LoadedDL(found_path, False, ctypes_handle_to_unsigned_int(handle), found_via)
diff --git a/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/load_nvidia_dynamic_lib.py b/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/load_nvidia_dynamic_lib.py
index 95a71825793..53446107da3 100644
--- a/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/load_nvidia_dynamic_lib.py
+++ b/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/load_nvidia_dynamic_lib.py
@@ -34,6 +34,7 @@
     build_dynamic_lib_subprocess_command,
     parse_dynamic_lib_subprocess_payload,
 )
+from cuda.pathfinder._dynamic_libs.supported_nvidia_libs import ALL_AVAILABLE_LIBNAMES
 from cuda.pathfinder._utils.platform_aware import IS_WINDOWS
 
 if TYPE_CHECKING:
@@ -42,9 +43,6 @@
 # All libnames recognized by load_nvidia_dynamic_lib, across all categories
 # (CTK, third-party, driver).
 _ALL_KNOWN_LIBNAMES: frozenset[str] = frozenset(LIB_DESCRIPTORS)
-_ALL_SUPPORTED_LIBNAMES: frozenset[str] = frozenset(
-    name for name, desc in LIB_DESCRIPTORS.items() if (desc.windows_dlls if IS_WINDOWS else desc.linux_sonames)
-)
 _PLATFORM_NAME = "Windows" if IS_WINDOWS else "Linux"
 _CANARY_PROBE_TIMEOUT_SECONDS = 10.0
 
@@ -308,9 +306,9 @@ def load_nvidia_dynamic_lib(libname: str) -> LoadedDL:
         )
     if libname not in _ALL_KNOWN_LIBNAMES:
         raise DynamicLibUnknownError(f"Unknown library name: {libname!r}. Known names: {sorted(_ALL_KNOWN_LIBNAMES)}")
-    if libname not in _ALL_SUPPORTED_LIBNAMES:
+    if libname not in ALL_AVAILABLE_LIBNAMES:
         raise DynamicLibNotAvailableError(
             f"Library name {libname!r} is known but not available on {_PLATFORM_NAME}. "
-            f"Supported names on {_PLATFORM_NAME}: {sorted(_ALL_SUPPORTED_LIBNAMES)}"
+            f"Supported names on {_PLATFORM_NAME}: {sorted(ALL_AVAILABLE_LIBNAMES)}"
         )
     return _load_lib_no_cache(libname)
diff --git a/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/platform_loader.py b/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/platform_loader.py
index 9b108a57acc..64bf55efe3d 100644
--- a/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/platform_loader.py
+++ b/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/platform_loader.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 
 """Platform loader seam for OS-specific dynamic linking.
@@ -16,11 +16,11 @@
 
 from __future__ import annotations
 
+import sys
 from typing import Protocol
 
 from cuda.pathfinder._dynamic_libs.lib_descriptor import LibDescriptor
 from cuda.pathfinder._dynamic_libs.load_dl_common import LoadedDL
-from cuda.pathfinder._utils.platform_aware import IS_WINDOWS
 
 
 class PlatformLoader(Protocol):
@@ -31,7 +31,7 @@ def load_with_system_search(self, desc: LibDescriptor) -> LoadedDL | None: ...
     def load_with_abs_path(self, desc: LibDescriptor, found_path: str, found_via: str | None = None) -> LoadedDL: ...
 
 
-if IS_WINDOWS:
+if sys.platform == "win32":
     from cuda.pathfinder._dynamic_libs import load_dl_windows as _impl
 else:
     from cuda.pathfinder._dynamic_libs import load_dl_linux as _impl
diff --git a/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/search_platform.py b/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/search_platform.py
index 37fd6eb1700..47374da2017 100644
--- a/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/search_platform.py
+++ b/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/search_platform.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 
 """Platform abstraction for filesystem search steps.
@@ -14,12 +14,14 @@
 import os
 from collections.abc import Sequence
 from dataclasses import dataclass
+from pathlib import PurePath
 from typing import Protocol, cast
 
 from cuda.pathfinder._dynamic_libs.lib_descriptor import LibDescriptor
 from cuda.pathfinder._dynamic_libs.supported_nvidia_libs import is_suppressed_dll_file
 from cuda.pathfinder._utils.find_sub_dirs import find_sub_dirs_all_sitepackages
 from cuda.pathfinder._utils.platform_aware import IS_WINDOWS
+from cuda.pathfinder._utils.windows_arch import windows_pe_matches_arch, windows_python_arch
 
 
 def _no_such_file_in_sub_dirs(
@@ -41,7 +43,7 @@ def _find_so_in_rel_dirs(
     sub_dirs_searched: list[tuple[str, ...]] = []
     file_wild = so_basename + "*"
     for rel_dir in rel_dirs:
-        sub_dir = tuple(rel_dir.split(os.path.sep))
+        sub_dir = PurePath(rel_dir).parts
         for abs_dir in find_sub_dirs_all_sitepackages(sub_dir):
             # Exact unversioned match first; fall back to versioned names because some
             # distros only ship lib<name>.so.<major> (e.g. conda libcupti). Only one match
@@ -61,12 +63,15 @@ def _find_so_in_rel_dirs(
     return None
 
 
-def _find_dll_under_dir(dirpath: str, file_wild: str) -> str | None:
+def _find_dll_under_dir(dirpath: str, file_wild: str, target_arch: str | None = None) -> str | None:
     for path in sorted(glob.glob(os.path.join(dirpath, file_wild))):
         if not os.path.isfile(path):
             continue
-        if not is_suppressed_dll_file(os.path.basename(path)):
-            return path
+        if is_suppressed_dll_file(os.path.basename(path)):
+            continue
+        if target_arch is not None and not windows_pe_matches_arch(path, target_arch):
+            continue
+        return path
     return None
 
 
@@ -78,7 +83,7 @@ def _find_dll_in_rel_dirs(
 ) -> str | None:
     sub_dirs_searched: list[tuple[str, ...]] = []
     for rel_dir in rel_dirs:
-        sub_dir = tuple(rel_dir.split(os.path.sep))
+        sub_dir = PurePath(rel_dir).parts
         for abs_dir in find_sub_dirs_all_sitepackages(sub_dir):
             dll_name = _find_dll_under_dir(abs_dir, lib_searched_for)
             if dll_name is not None:
@@ -109,7 +114,7 @@ def find_in_site_packages(
     def find_in_lib_dir(
         self,
         lib_dir: str,
-        libname: str,
+        desc: LibDescriptor,
         lib_searched_for: str,
         error_messages: list[str],
         attachments: list[str],
@@ -142,7 +147,7 @@ def find_in_site_packages(
     def find_in_lib_dir(
         self,
         lib_dir: str,
-        _libname: str,
+        _desc: LibDescriptor,
         lib_searched_for: str,
         error_messages: list[str],
         attachments: list[str],
@@ -173,17 +178,19 @@ def find_in_lib_dir(
 
 @dataclass(frozen=True, slots=True)
 class WindowsSearchPlatform:
+    target_arch: str
+
     def lib_searched_for(self, libname: str) -> str:
         return f"{libname}*.dll"
 
     def site_packages_rel_dirs(self, desc: LibDescriptor) -> tuple[str, ...]:
-        return cast(tuple[str, ...], desc.site_packages_windows)
+        return cast(tuple[str, ...], desc.site_packages_windows.for_arch(self.target_arch))
 
     def conda_anchor_point(self, conda_prefix: str) -> str:
         return os.path.join(conda_prefix, "Library")
 
     def anchor_rel_dirs(self, desc: LibDescriptor) -> tuple[str, ...]:
-        return cast(tuple[str, ...], desc.anchor_rel_dirs_windows)
+        return cast(tuple[str, ...], desc.anchor_rel_dirs_windows.for_arch(self.target_arch))
 
     def find_in_site_packages(
         self,
@@ -197,16 +204,20 @@ def find_in_site_packages(
     def find_in_lib_dir(
         self,
         lib_dir: str,
-        libname: str,
+        desc: LibDescriptor,
         _lib_searched_for: str,
         error_messages: list[str],
         attachments: list[str],
     ) -> str | None:
-        file_wild = libname + "*.dll"
-        dll_name = _find_dll_under_dir(lib_dir, file_wild)
+        file_wild = desc.name + "*.dll"
+        target_arch = self.target_arch if desc.requires_windows_binary_arch_check else None
+        dll_name = _find_dll_under_dir(lib_dir, file_wild, target_arch)
         if dll_name is not None:
             return dll_name
-        error_messages.append(f"No such file: {file_wild}")
+        if target_arch is None:
+            error_messages.append(f"No such file: {file_wild}")
+        else:
+            error_messages.append(f"No {target_arch}-compatible PE file: {file_wild}")
         attachments.append(f'  listdir("{lib_dir}"):')
         if not os.path.isdir(lib_dir):
             attachments.append("    DIRECTORY DOES NOT EXIST")
@@ -216,4 +227,10 @@ def find_in_lib_dir(
         return None
 
 
-PLATFORM: SearchPlatform = WindowsSearchPlatform() if IS_WINDOWS else LinuxSearchPlatform()
+def _platform_for_current_system() -> SearchPlatform:
+    if IS_WINDOWS:
+        return WindowsSearchPlatform(target_arch=windows_python_arch())
+    return LinuxSearchPlatform()
+
+
+PLATFORM = _platform_for_current_system()
diff --git a/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/search_steps.py b/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/search_steps.py
index 55d8a8aa674..5901094fcaa 100644
--- a/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/search_steps.py
+++ b/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/search_steps.py
@@ -88,7 +88,7 @@ def _find_using_lib_dir(ctx: SearchContext, lib_dir: str | None) -> str | None:
         str | None,
         ctx.platform.find_in_lib_dir(
             lib_dir,
-            ctx.libname,
+            ctx.desc,
             ctx.lib_searched_for,
             ctx.error_messages,
             ctx.attachments,
@@ -121,13 +121,14 @@ def _derive_ctk_root_windows(resolved_lib_path: str) -> str | None:
 
     Supports:
     - ``$CTK_ROOT/bin/x64/foo.dll`` (CTK 13 style)
+    - ``$CTK_ROOT/bin/arm64/foo.dll`` (Windows on Arm CTK 13 style)
     - ``$CTK_ROOT/bin/foo.dll`` (CTK 12 style)
     """
     import ntpath
 
     lib_dir = ntpath.dirname(resolved_lib_path)
     basename = ntpath.basename(lib_dir).lower()
-    if basename == "x64":
+    if basename in ("x64", "arm64"):
         parent = ntpath.dirname(lib_dir)
         if ntpath.basename(parent).lower() == "bin":
             return ntpath.dirname(parent)
diff --git a/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/supported_nvidia_libs.py b/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/supported_nvidia_libs.py
index db06411c6d0..daf696b638e 100644
--- a/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/supported_nvidia_libs.py
+++ b/cuda_pathfinder/cuda/pathfinder/_dynamic_libs/supported_nvidia_libs.py
@@ -6,12 +6,18 @@
 The canonical data entry point is :mod:`descriptor_catalog`. This module keeps
 historical constant names for backward compatibility by deriving them from the
 catalog.
+
+The unsuffixed ``SUPPORTED_LIBNAMES_WINDOWS`` and
+``SITE_PACKAGES_LIBDIRS_WINDOWS*`` constants retain their historical x64
+meaning for compatibility, but are not recommended for new code. Use the
+explicit ``*_X64`` or ``*_ARM64`` projection instead. Never combine the two
+architecture projections.
 """
 
 from __future__ import annotations
 
 from cuda.pathfinder._dynamic_libs.descriptor_catalog import DESCRIPTOR_CATALOG
-from cuda.pathfinder._utils.platform_aware import IS_WINDOWS
+from cuda.pathfinder._utils.platform_aware import IS_WINDOWS, IS_WINDOWS_ARM64, IS_WINDOWS_X64
 
 _CTK_DESCRIPTORS = tuple(desc for desc in DESCRIPTOR_CATALOG if desc.packaged_with == "ctk")
 _OTHER_DESCRIPTORS = tuple(desc for desc in DESCRIPTOR_CATALOG if desc.packaged_with == "other")
@@ -26,10 +32,30 @@
     desc.name for desc in _CTK_DESCRIPTORS if desc.windows_dlls and not desc.linux_sonames
 )
 
+if not IS_WINDOWS:
+    ALL_AVAILABLE_LIBNAMES = frozenset(desc.name for desc in DESCRIPTOR_CATALOG if desc.linux_sonames)
+else:
+    assert IS_WINDOWS_X64 != IS_WINDOWS_ARM64
+    _current_windows_arch = "x64" if IS_WINDOWS_X64 else "arm64"
+    ALL_AVAILABLE_LIBNAMES = frozenset(
+        desc.name for desc in DESCRIPTOR_CATALOG if _current_windows_arch in desc.supported_windows_arch
+    )
+
 SUPPORTED_LIBNAMES_LINUX = SUPPORTED_LIBNAMES_COMMON + SUPPORTED_LIBNAMES_LINUX_ONLY
-SUPPORTED_LIBNAMES_WINDOWS = SUPPORTED_LIBNAMES_COMMON + SUPPORTED_LIBNAMES_WINDOWS_ONLY
+SUPPORTED_LIBNAMES_WINDOWS_X64 = tuple(desc.name for desc in _CTK_DESCRIPTORS if "x64" in desc.supported_windows_arch)
+SUPPORTED_LIBNAMES_WINDOWS_ARM64 = tuple(
+    desc.name for desc in _CTK_DESCRIPTORS if "arm64" in desc.supported_windows_arch
+)
+# Backward-compatible alias preserves the historical x64 meaning.
+SUPPORTED_LIBNAMES_WINDOWS = SUPPORTED_LIBNAMES_WINDOWS_X64
 SUPPORTED_LIBNAMES_ALL = SUPPORTED_LIBNAMES_COMMON + SUPPORTED_LIBNAMES_LINUX_ONLY + SUPPORTED_LIBNAMES_WINDOWS_ONLY
-SUPPORTED_LIBNAMES = SUPPORTED_LIBNAMES_WINDOWS if IS_WINDOWS else SUPPORTED_LIBNAMES_LINUX
+if not IS_WINDOWS:
+    SUPPORTED_LIBNAMES = SUPPORTED_LIBNAMES_LINUX
+elif IS_WINDOWS_X64:
+    SUPPORTED_LIBNAMES = SUPPORTED_LIBNAMES_WINDOWS_X64
+else:
+    assert IS_WINDOWS_ARM64
+    SUPPORTED_LIBNAMES = SUPPORTED_LIBNAMES_WINDOWS_ARM64
 
 DIRECT_DEPENDENCIES_CTK = {desc.name: desc.dependencies for desc in _CTK_DESCRIPTORS if desc.dependencies}
 DIRECT_DEPENDENCIES = {desc.name: desc.dependencies for desc in DESCRIPTOR_CATALOG if desc.dependencies}
@@ -51,7 +77,6 @@
     desc.name for desc in DESCRIPTOR_CATALOG if desc.requires_rtld_deepbind and desc.linux_sonames
 )
 
-# Based on output of toolshed/make_site_packages_libdirs_linux.py
 SITE_PACKAGES_LIBDIRS_LINUX_CTK = {
     desc.name: desc.site_packages_linux for desc in _CTK_DESCRIPTORS if desc.site_packages_linux
 }
@@ -60,13 +85,29 @@
 }
 SITE_PACKAGES_LIBDIRS_LINUX = SITE_PACKAGES_LIBDIRS_LINUX_CTK | SITE_PACKAGES_LIBDIRS_LINUX_OTHER
 
-SITE_PACKAGES_LIBDIRS_WINDOWS_CTK = {
-    desc.name: desc.site_packages_windows for desc in _CTK_DESCRIPTORS if desc.site_packages_windows
+# Architecture-specific Windows projections. Keep these separate: combining
+# them would make the table unsafe to consume for either process ABI.
+SITE_PACKAGES_LIBDIRS_WINDOWS_CTK_X64 = {
+    desc.name: desc.site_packages_windows.x64 for desc in _CTK_DESCRIPTORS if desc.site_packages_windows.x64
+}
+SITE_PACKAGES_LIBDIRS_WINDOWS_CTK_ARM64 = {
+    desc.name: desc.site_packages_windows.arm64 for desc in _CTK_DESCRIPTORS if desc.site_packages_windows.arm64
 }
-SITE_PACKAGES_LIBDIRS_WINDOWS_OTHER = {
-    desc.name: desc.site_packages_windows for desc in _NON_CTK_DESCRIPTORS if desc.site_packages_windows
+SITE_PACKAGES_LIBDIRS_WINDOWS_OTHER_X64 = {
+    desc.name: desc.site_packages_windows.x64 for desc in _NON_CTK_DESCRIPTORS if desc.site_packages_windows.x64
 }
-SITE_PACKAGES_LIBDIRS_WINDOWS = SITE_PACKAGES_LIBDIRS_WINDOWS_CTK | SITE_PACKAGES_LIBDIRS_WINDOWS_OTHER
+SITE_PACKAGES_LIBDIRS_WINDOWS_OTHER_ARM64 = {
+    desc.name: desc.site_packages_windows.arm64 for desc in _NON_CTK_DESCRIPTORS if desc.site_packages_windows.arm64
+}
+SITE_PACKAGES_LIBDIRS_WINDOWS_X64 = SITE_PACKAGES_LIBDIRS_WINDOWS_CTK_X64 | SITE_PACKAGES_LIBDIRS_WINDOWS_OTHER_X64
+SITE_PACKAGES_LIBDIRS_WINDOWS_ARM64 = (
+    SITE_PACKAGES_LIBDIRS_WINDOWS_CTK_ARM64 | SITE_PACKAGES_LIBDIRS_WINDOWS_OTHER_ARM64
+)
+
+# Backward-compatible aliases preserve the historical x64 meaning.
+SITE_PACKAGES_LIBDIRS_WINDOWS_CTK = SITE_PACKAGES_LIBDIRS_WINDOWS_CTK_X64
+SITE_PACKAGES_LIBDIRS_WINDOWS_OTHER = SITE_PACKAGES_LIBDIRS_WINDOWS_OTHER_X64
+SITE_PACKAGES_LIBDIRS_WINDOWS = SITE_PACKAGES_LIBDIRS_WINDOWS_X64
 
 
 def is_suppressed_dll_file(path_basename: str) -> bool:
diff --git a/cuda_pathfinder/cuda/pathfinder/_static_libs/find_static_lib.py b/cuda_pathfinder/cuda/pathfinder/_static_libs/find_static_lib.py
index 804b1c04be7..ea5a740aec4 100644
--- a/cuda_pathfinder/cuda/pathfinder/_static_libs/find_static_lib.py
+++ b/cuda_pathfinder/cuda/pathfinder/_static_libs/find_static_lib.py
@@ -9,6 +9,7 @@
 from cuda.pathfinder._utils.env_vars import get_cuda_path_or_home
 from cuda.pathfinder._utils.find_sub_dirs import find_sub_dirs_all_sitepackages
 from cuda.pathfinder._utils.platform_aware import IS_WINDOWS
+from cuda.pathfinder._utils.windows_arch import windows_python_arch
 
 
 class StaticLibNotFoundError(RuntimeError):
@@ -32,17 +33,28 @@ class _StaticLibInfo(TypedDict):
     site_packages_dirs: tuple[str, ...]
 
 
+def _cudadevrt_info() -> _StaticLibInfo:
+    if not IS_WINDOWS:
+        return {
+            "filename": "libcudadevrt.a",
+            "ctk_rel_paths": ("lib64", "lib"),
+            "conda_rel_paths": ("lib",),
+            "site_packages_dirs": ("nvidia/cu13/lib", "nvidia/cuda_runtime/lib"),
+        }
+
+    arch_dir = windows_python_arch()
+    component_wheel_dirs = ("nvidia/cuda_runtime/lib/x64",) if arch_dir == "x64" else ()
+    conda_fallback_dirs = ("lib",) if arch_dir == "x64" else ()
+    return {
+        "filename": "cudadevrt.lib",
+        "ctk_rel_paths": (os.path.join("lib", arch_dir),),
+        "conda_rel_paths": (os.path.join("lib", arch_dir), *conda_fallback_dirs),
+        "site_packages_dirs": (f"nvidia/cu13/lib/{arch_dir}", *component_wheel_dirs),
+    }
+
+
 _SUPPORTED_STATIC_LIBS_INFO: dict[str, _StaticLibInfo] = {
-    "cudadevrt": {
-        "filename": "cudadevrt.lib" if IS_WINDOWS else "libcudadevrt.a",
-        "ctk_rel_paths": (os.path.join("lib", "x64"),) if IS_WINDOWS else ("lib64", "lib"),
-        "conda_rel_paths": ((os.path.join("lib", "x64"), "lib") if IS_WINDOWS else ("lib",)),
-        "site_packages_dirs": (
-            ("nvidia/cu13/lib/x64", "nvidia/cuda_runtime/lib/x64")
-            if IS_WINDOWS
-            else ("nvidia/cu13/lib", "nvidia/cuda_runtime/lib")
-        ),
-    },
+    "cudadevrt": _cudadevrt_info(),
 }
 
 SUPPORTED_STATIC_LIBS: tuple[str, ...] = tuple(sorted(_SUPPORTED_STATIC_LIBS_INFO.keys()))
diff --git a/cuda_pathfinder/cuda/pathfinder/_utils/driver_info.py b/cuda_pathfinder/cuda/pathfinder/_utils/driver_info.py
index a5d4d167d33..d07c4b861d3 100644
--- a/cuda_pathfinder/cuda/pathfinder/_utils/driver_info.py
+++ b/cuda_pathfinder/cuda/pathfinder/_utils/driver_info.py
@@ -5,13 +5,13 @@
 
 import ctypes
 import functools
+import sys
 from collections.abc import Callable
 from dataclasses import dataclass
 
 from cuda.pathfinder._dynamic_libs.load_nvidia_dynamic_lib import (
     load_nvidia_dynamic_lib as _load_nvidia_dynamic_lib,
 )
-from cuda.pathfinder._utils.platform_aware import IS_WINDOWS
 
 
 class QueryDriverCudaVersionError(RuntimeError):
@@ -60,16 +60,16 @@ def query_driver_cuda_version() -> DriverCudaVersion:
         raise QueryDriverCudaVersionError("Failed to query the CUDA driver version.") from exc
 
 
+if sys.platform == "win32":
+    _DRIVER_LIB_LOADER: Callable[[str], ctypes.CDLL] = ctypes.WinDLL
+else:
+    _DRIVER_LIB_LOADER = ctypes.CDLL
+
+
 def _query_driver_cuda_version_int() -> int:
     """Return the encoded CUDA driver version from ``cuDriverGetVersion()``."""
     loaded_cuda = _load_nvidia_dynamic_lib("cuda")
-    if IS_WINDOWS:
-        # `ctypes.WinDLL` exists on Windows at runtime. The ignore is only for
-        # Linux mypy runs, where the platform stubs do not define that attribute.
-        loader_cls: Callable[[str], ctypes.CDLL] = ctypes.WinDLL  # type: ignore[attr-defined]
-    else:
-        loader_cls = ctypes.CDLL
-    driver_lib = loader_cls(loaded_cuda.abs_path)
+    driver_lib = _DRIVER_LIB_LOADER(loaded_cuda.abs_path)
     cu_driver_get_version = driver_lib.cuDriverGetVersion
     cu_driver_get_version.argtypes = [ctypes.POINTER(ctypes.c_int)]
     cu_driver_get_version.restype = ctypes.c_int
diff --git a/cuda_pathfinder/cuda/pathfinder/_utils/platform_aware.py b/cuda_pathfinder/cuda/pathfinder/_utils/platform_aware.py
index 72ecbc53593..be55b6ff9c3 100644
--- a/cuda_pathfinder/cuda/pathfinder/_utils/platform_aware.py
+++ b/cuda_pathfinder/cuda/pathfinder/_utils/platform_aware.py
@@ -1,9 +1,21 @@
-# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 
 import sys
 
 IS_WINDOWS = sys.platform == "win32"
+_WINDOWS_PYTHON_ARCH: str | None
+
+if IS_WINDOWS:
+    from cuda.pathfinder._utils.windows_arch import windows_python_arch
+
+    _WINDOWS_PYTHON_ARCH = windows_python_arch()
+else:
+    _WINDOWS_PYTHON_ARCH = None
+
+# These describe the Python process ABI, not the Windows host architecture.
+IS_WINDOWS_X64 = _WINDOWS_PYTHON_ARCH == "x64"
+IS_WINDOWS_ARM64 = _WINDOWS_PYTHON_ARCH == "arm64"
 
 
 def quote_for_shell(s: str) -> str:
diff --git a/cuda_pathfinder/cuda/pathfinder/_utils/windows_arch.py b/cuda_pathfinder/cuda/pathfinder/_utils/windows_arch.py
new file mode 100644
index 00000000000..9313f3a9f17
--- /dev/null
+++ b/cuda_pathfinder/cuda/pathfinder/_utils/windows_arch.py
@@ -0,0 +1,65 @@
+# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+
+from __future__ import annotations
+
+import sysconfig
+
+WINDOWS_PE_MACHINE_BY_ARCH = {
+    "x64": 0x8664,
+    "arm64": 0xAA64,
+}
+
+
+class UnsupportedArchError(RuntimeError):
+    """Raised when Python reports an unsupported Windows architecture."""
+
+    def __init__(self, platform_tag: str) -> None:
+        self.platform_tag = platform_tag
+        super().__init__(
+            f"Unsupported Windows Python platform tag: {platform_tag!r}; expected 'win-amd64' or 'win-arm64'"
+        )
+
+
+def windows_python_arch() -> str:
+    """Return the current Windows Python interpreter architecture."""
+    raw_platform_tag = sysconfig.get_platform()
+    platform_tag = raw_platform_tag.lower().replace("_", "-")
+
+    if platform_tag == "win-arm64":
+        return "arm64"
+
+    if platform_tag == "win-amd64":
+        return "x64"
+
+    raise UnsupportedArchError(raw_platform_tag)
+
+
+def windows_pe_matches_arch(path: str, target_arch: str) -> bool:
+    """Return whether a Windows Portable Executable (PE) targets the requested architecture.
+
+    PE is the file format used for Windows executables and DLLs. This reads the
+    PE/COFF header's machine field to distinguish x64 images from Arm64 images.
+    """
+    expected_machine = WINDOWS_PE_MACHINE_BY_ARCH.get(target_arch)
+    if expected_machine is None:
+        raise ValueError(f"Unsupported Windows target architecture: {target_arch!r}")
+
+    try:
+        with open(path, "rb") as stream:
+            if stream.read(2) != b"MZ":
+                return False
+            stream.seek(0x3C)
+            pe_offset_bytes = stream.read(4)
+            if len(pe_offset_bytes) != 4:
+                return False
+            stream.seek(int.from_bytes(pe_offset_bytes, "little"))
+            if stream.read(4) != b"PE\0\0":
+                return False
+            machine_bytes = stream.read(2)
+            if len(machine_bytes) != 2:
+                return False
+    except OSError:
+        return False
+
+    return int.from_bytes(machine_bytes, "little") == expected_machine
diff --git a/cuda_pathfinder/docs/source/api.rst b/cuda_pathfinder/docs/source/api.rst
index e49478c09ec..f65014923f9 100644
--- a/cuda_pathfinder/docs/source/api.rst
+++ b/cuda_pathfinder/docs/source/api.rst
@@ -24,6 +24,7 @@ CUDA bitcode and static libraries.
    DynamicLibNotFoundError
    DynamicLibUnknownError
    DynamicLibNotAvailableError
+   UnsupportedArchError
 
    SUPPORTED_HEADERS_CTK
    find_nvidia_header_directory
diff --git a/cuda_pathfinder/docs/source/install.rst b/cuda_pathfinder/docs/source/install.rst
index abc8fbb9d50..53f11ebbf18 100644
--- a/cuda_pathfinder/docs/source/install.rst
+++ b/cuda_pathfinder/docs/source/install.rst
@@ -59,7 +59,7 @@ Installing from Source
 
 .. code-block:: console
 
-   $ git clone https://github.com/NVIDIA/cuda-python
+   $ git clone https://github.com/NVIDIA/cuda-python.git
    $ cd cuda-python/cuda_pathfinder
    $ pip install .
 
@@ -68,3 +68,13 @@ For an editable install (e.g. when developing ``cuda.pathfinder`` itself):
 .. code-block:: console
 
    $ pip install -v -e .
+
+.. note::
+
+   The version is derived from git tags via ``setuptools-scm``, so the clone
+   must include tags reaching back to at least the latest ``cuda-pathfinder-v*``
+   tag. Do not use ``--depth`` or ``--no-tags``: a shallow clone builds without
+   error but produces a bogus version such as ``0.1.dev1+g0d22cb444``. See
+   `Cloning the repository
+   <https://github.com/NVIDIA/cuda-python/blob/main/CONTRIBUTING.md>`_
+   for details and recovery steps.
diff --git a/cuda_pathfinder/docs/source/release/1.6.1-notes.rst b/cuda_pathfinder/docs/source/release/1.6.1-notes.rst
new file mode 100644
index 00000000000..919963802ff
--- /dev/null
+++ b/cuda_pathfinder/docs/source/release/1.6.1-notes.rst
@@ -0,0 +1,43 @@
+.. SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+.. SPDX-License-Identifier: Apache-2.0
+
+.. py:currentmodule:: cuda.pathfinder
+
+``cuda-pathfinder`` 1.6.1 Release notes
+=======================================
+
+Highlights
+----------
+
+* Make Windows dynamic-library discovery architecture-aware. Pathfinder now
+  detects whether the current Python interpreter is x64 or Arm64, searches
+  only the matching CUDA Toolkit and wheel directories, and reports only the
+  CTK libraries available for that architecture through
+  ``SUPPORTED_NVIDIA_LIBNAMES``. A known library unavailable for the current
+  architecture raises ``DynamicLibNotAvailableError``.
+
+* Add Windows Arm64 discovery for CUDA 13.4 layouts while retaining legacy
+  CUDA 12 wheel directories as x64-only fallbacks. This includes corrected
+  architecture-specific locations for cuDLA, NVVM, CUPTI, and cuSPARSELt.
+  NVVM binaries found in an unqualified legacy directory are checked for a
+  matching PE machine architecture before loading.
+
+* Add ``UnsupportedArchError`` for unsupported Windows Python platform tags.
+
+* Make Windows static-library discovery architecture-aware. Searches now use
+  the current Python interpreter architecture to select the matching
+  ``lib/x64`` or ``lib/arm64`` CUDA Toolkit and wheel directories. CUDA 12
+  component-wheel and legacy Conda fallbacks remain x64-only.
+
+Internal maintenance
+--------------------
+
+* Group Windows search locations by architecture in the dynamic-library
+  descriptor catalog. Add explicit ``_X64`` and ``_ARM64`` variants of the
+  internal ``SUPPORTED_LIBNAMES_WINDOWS*`` and
+  ``SITE_PACKAGES_LIBDIRS_WINDOWS*`` tables. Unsuffixed names remain x64
+  aliases for backward compatibility.
+
+* Remove the obsolete descriptor-catalog writer and its catalog-update tools.
+  The site-packages collection scripts remain available for gathering library
+  paths.
diff --git a/cuda_pathfinder/pixi.lock b/cuda_pathfinder/pixi.lock
index 0891bddfece..bc46282b4ad 100644
--- a/cuda_pathfinder/pixi.lock
+++ b/cuda_pathfinder/pixi.lock
@@ -420,7 +420,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/backports.zstd-1.3.0-py312h90b7ffd_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.2.0-py312hdb49522_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_9.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cython-3.2.4-py312h68e6be4_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cython-3.2.9-py312h68e6be4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/debugpy-1.8.20-py312h8285ef7_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/greenlet-3.3.2-py312h8285ef7_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/icu-78.3-h33c6efd_0.conda
@@ -586,7 +586,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/backports.zstd-1.3.0-py312h3d8e7d4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/brotli-python-1.2.0-py312hac7b6a9_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/bzip2-1.0.8-h4777abc_9.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cython-3.2.4-py312he940de5_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cython-3.2.9-py312hbda70bc_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/debugpy-1.8.20-py312hf55c4e8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/greenlet-3.3.2-py312hf55c4e8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/icu-78.3-hcab7f73_0.conda
@@ -863,7 +863,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/win-64/backports.zstd-1.3.0-py312h06d0912_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/brotli-python-1.2.0-py312hc6d9e41_1.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-h0ad9c76_9.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/cython-3.2.4-py312hd245ac3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/cython-3.2.9-py312hd245ac3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/debugpy-1.8.20-py312ha1a9051_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/greenlet-3.3.2-py312ha1a9051_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/krb5-1.22.2-h0ea6238_0.conda
@@ -1003,9 +1003,9 @@ packages:
     - bzip2 >=1.0.8,<2.0a0
   size: 260182
   timestamp: 1771350215188
-- conda: https://conda.anaconda.org/conda-forge/linux-64/cython-3.2.4-py312h68e6be4_0.conda
-  sha256: 01b815091e0c534a5f32a830b514e31c150dc2f539b7ba1d5c70b6d095a5ebcf
-  md5: 14f638dad5953c83443a2c4f011f1c9e
+- conda: https://conda.anaconda.org/conda-forge/linux-64/cython-3.2.9-py312h68e6be4_0.conda
+  sha256: 13e37a868e52933951b3f80fd5fe953742804499f2ee2b9a123e74070c265c0d
+  md5: 7311d3a6721eec7d76f4a84045f1ddfd
   depends:
   - __glibc >=2.17,<3.0.a0
   - libgcc >=14
@@ -1016,8 +1016,9 @@ packages:
   license_family: APACHE
   purls:
   - pkg:pypi/cython?source=hash-mapping
-  size: 3738170
-  timestamp: 1767577770165
+  run_exports: {}
+  size: 3731635
+  timestamp: 1785016112258
 - conda: https://conda.anaconda.org/conda-forge/linux-64/debugpy-1.8.20-py312h8285ef7_0.conda
   sha256: f20121b67149ff80bf951ccae7442756586d8789204cd08ade59397b22bfd098
   md5: ee1b48795ceb07311dd3e665dd4f5f33
@@ -2115,21 +2116,21 @@ packages:
     - bzip2 >=1.0.8,<2.0a0
   size: 192412
   timestamp: 1771350241232
-- conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cython-3.2.4-py312he940de5_0.conda
-  sha256: 30bfb6445b8ae8022996283faa2d918393b1f0f78e37014995e1733e50df4303
-  md5: 2f50ec4afc8e9f402b9041e9cee62744
+- conda: https://conda.anaconda.org/conda-forge/linux-aarch64/cython-3.2.9-py312hbda70bc_0.conda
+  sha256: 9c3df78ef64fc05aaf01b4d16ccefe25656b7aac677a3a9d5e89e0c462c65a2c
+  md5: 30984003a6a35ea7b9eedc979cf52c7e
   depends:
   - libgcc >=14
   - libstdcxx >=14
   - python >=3.12,<3.13.0a0
-  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   license: Apache-2.0
   license_family: APACHE
   purls:
   - pkg:pypi/cython?source=hash-mapping
-  size: 3629503
-  timestamp: 1767577211661
+  run_exports: {}
+  size: 3649707
+  timestamp: 1785016066705
 - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/debugpy-1.8.20-py312hf55c4e8_0.conda
   sha256: c041ed2da3fd1e237972a360cb0f532a0caf66f571fdc9ec2cc07ccb48b8c665
   md5: d7ee86593223e812e41612678c26a10d
@@ -4959,9 +4960,9 @@ packages:
     - bzip2 >=1.0.8,<2.0a0
   size: 56115
   timestamp: 1771350256444
-- conda: https://conda.anaconda.org/conda-forge/win-64/cython-3.2.4-py312hd245ac3_0.conda
-  sha256: 68e921fad16accb32e86c7c73abaea7d49c9346e078924d0a593f821672a5a0c
-  md5: 575ebca0d973015c21087b800bc48515
+- conda: https://conda.anaconda.org/conda-forge/win-64/cython-3.2.9-py312hd245ac3_0.conda
+  sha256: 277887d63842d6b9d8a49f6bde1c57149fd65342c85e1f3e2aa44402125d3115
+  md5: 762f58961f768b8790a215a8521d33cd
   depends:
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
@@ -4972,8 +4973,9 @@ packages:
   license_family: APACHE
   purls:
   - pkg:pypi/cython?source=hash-mapping
-  size: 3285032
-  timestamp: 1767577225362
+  run_exports: {}
+  size: 3316549
+  timestamp: 1785016176418
 - conda: https://conda.anaconda.org/conda-forge/win-64/debugpy-1.8.20-py312ha1a9051_0.conda
   sha256: 5a886b1af3c66bf58213c7f3d802ea60fe8218313d9072bc1c9e8f7840548ba0
   md5: 032746a0b0663920f0afb18cec61062b
diff --git a/cuda_pathfinder/pixi.toml b/cuda_pathfinder/pixi.toml
index 7ebcc9644d7..c38c08c3f2e 100644
--- a/cuda_pathfinder/pixi.toml
+++ b/cuda_pathfinder/pixi.toml
@@ -19,7 +19,7 @@ pytest-randomly = "*"
 # Keep this dependency set aligned with cuda_python/docs/environment-docs.yml.
 [feature.docs.dependencies]
 python = "3.12.*"
-cython = "*"
+cython = ">=3.2.5,<3.3"
 enum_tools = "*"
 make = "*"
 myst-nb = "*"
diff --git a/cuda_pathfinder/pyproject.toml b/cuda_pathfinder/pyproject.toml
index 227b8fa4eb7..4fd7a5e3edf 100644
--- a/cuda_pathfinder/pyproject.toml
+++ b/cuda_pathfinder/pyproject.toml
@@ -103,7 +103,7 @@ tag_regex = "^cuda-pathfinder-(?P<version>v\\d+\\.\\d+\\.\\d+(?:[ab]\\d+)?)"
 git_describe_command = [ "git", "describe", "--dirty", "--tags", "--long", "--match", "cuda-pathfinder-v*[0-9]*" ]
 
 [tool.pytest.ini_options]
-addopts = "--showlocals"
+addopts = "--showlocals --durations=20"
 thread_unsafe_fixtures = ['mocker']
 # Keep this authorship marker registry in sync across all pytest config roots.
 # Search for "agent_authored(model)" before editing.
diff --git a/cuda_pathfinder/tests/test_ctk_root_discovery.py b/cuda_pathfinder/tests/test_ctk_root_discovery.py
index 9ad148dccd2..731d38fdc0a 100644
--- a/cuda_pathfinder/tests/test_ctk_root_discovery.py
+++ b/cuda_pathfinder/tests/test_ctk_root_discovery.py
@@ -6,6 +6,7 @@
 import subprocess
 import sys
 import textwrap
+from pathlib import Path
 
 import pytest
 
@@ -19,6 +20,7 @@
     _try_ctk_root_canary,
     resolve_ctk_root_via_canary,
 )
+from cuda.pathfinder._dynamic_libs.search_platform import WindowsSearchPlatform
 from cuda.pathfinder._dynamic_libs.search_steps import (
     SearchContext,
     _derive_ctk_root_linux,
@@ -32,6 +34,7 @@
     MODE_CANARY,
 )
 from cuda.pathfinder._utils.platform_aware import IS_WINDOWS
+from cuda.pathfinder._utils.windows_arch import windows_python_arch
 
 _MODULE = "cuda.pathfinder._dynamic_libs.load_nvidia_dynamic_lib"
 _STEPS_MODULE = "cuda.pathfinder._dynamic_libs.search_steps"
@@ -60,18 +63,29 @@ def _create_nvvm_in_ctk(ctk_root):
         nvvm_dir = ctk_root / "nvvm" / "bin"
         nvvm_dir.mkdir(parents=True)
         nvvm_lib = nvvm_dir / "nvvm64.dll"
+        machine = {"x64": 0x8664, "arm64": 0xAA64}[windows_python_arch()]
+        image = bytearray(0x86)
+        image[:2] = b"MZ"
+        image[0x3C:0x40] = (0x80).to_bytes(4, "little")
+        image[0x80:0x84] = b"PE\0\0"
+        image[0x84:0x86] = machine.to_bytes(2, "little")
+        nvvm_lib.write_bytes(image)
     else:
         nvvm_dir = ctk_root / "nvvm" / "lib64"
         nvvm_dir.mkdir(parents=True)
         nvvm_lib = nvvm_dir / "libnvvm.so"
-    nvvm_lib.write_bytes(b"fake")
+        nvvm_lib.write_bytes(b"fake")
     return nvvm_lib
 
 
 def _create_cudart_in_ctk(ctk_root):
     """Create a fake cudart lib in the platform-appropriate CTK subdirectory."""
     if IS_WINDOWS:
-        lib_dir = ctk_root / "bin"
+        # Native ARM64 uses bin/arm64 only.
+        if windows_python_arch() == "arm64":
+            lib_dir = ctk_root / "bin" / "arm64"
+        else:
+            lib_dir = ctk_root / "bin"
         lib_dir.mkdir(parents=True)
         lib_file = lib_dir / "cudart64_12.dll"
     else:
@@ -126,6 +140,12 @@ def test_derive_ctk_root_windows_ctk13():
     assert _derive_ctk_root_windows(path) == r"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0"
 
 
+@pytest.mark.agent_authored(model="gpt-5")
+def test_derive_ctk_root_windows_ctk13_arm64():
+    path = r"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\bin\arm64\cudart64_13.dll"
+    assert _derive_ctk_root_windows(path) == r"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4"
+
+
 def test_derive_ctk_root_windows_ctk12():
     path = r"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\bin\cudart64_12.dll"
     assert _derive_ctk_root_windows(path) == r"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8"
@@ -190,6 +210,24 @@ def test_try_via_ctk_root_regular_lib(tmp_path):
     assert result.found_via == "system-ctk-root"
 
 
+@pytest.mark.agent_authored(model="gpt-5")
+def test_try_via_ctk_root_windows_arm64_prefers_arch_dir(tmp_path):
+    ctk_root = tmp_path / "cuda-13"
+    x64_dir = ctk_root / "bin" / "x64"
+    arm64_dir = ctk_root / "bin" / "arm64"
+    x64_dir.mkdir(parents=True)
+    arm64_dir.mkdir(parents=True)
+    (x64_dir / "cudart64_13.dll").write_bytes(b"fake")
+    arm64_lib = arm64_dir / "cudart64_13.dll"
+    arm64_lib.write_bytes(b"fake")
+
+    ctx = SearchContext(LIB_DESCRIPTORS["cudart"], platform=WindowsSearchPlatform(target_arch="arm64"))
+    result = find_via_ctk_root(ctx, str(ctk_root))
+    assert result is not None
+    assert result.abs_path == str(arm64_lib)
+    assert result.found_via == "system-ctk-root"
+
+
 # ---------------------------------------------------------------------------
 # _resolve_system_loaded_abs_path_in_subprocess
 # ---------------------------------------------------------------------------
@@ -394,7 +432,7 @@ def test_resolve_ctk_root_via_canary_none_when_probe_fails(mocker):
 def test_resolve_ctk_root_via_canary_none_when_unrecognized(mocker):
     mocker.patch(
         f"{_MODULE}._resolve_system_loaded_abs_path_in_subprocess",
-        return_value=os.path.join(os.sep, "weird", "path", "libcudart.so.13"),
+        return_value=str(Path(os.sep, "weird", "path", "libcudart.so.13")),
     )
     assert resolve_ctk_root_via_canary("cudart") is None
 
diff --git a/cuda_pathfinder/tests/test_descriptor_catalog.py b/cuda_pathfinder/tests/test_descriptor_catalog.py
index b2c8eece4bb..3b643aa2e77 100644
--- a/cuda_pathfinder/tests/test_descriptor_catalog.py
+++ b/cuda_pathfinder/tests/test_descriptor_catalog.py
@@ -13,10 +13,11 @@
 
 import pytest
 
-from cuda.pathfinder._dynamic_libs.descriptor_catalog import DESCRIPTOR_CATALOG, DescriptorSpec
+from cuda.pathfinder._dynamic_libs.descriptor_catalog import DESCRIPTOR_CATALOG, DescriptorSpec, WindowsSearchDirs
 
 _VALID_NAME_RE = re.compile(r"^[A-Za-z_][A-Za-z0-9_]*$")
 _VALID_PACKAGED_WITH_VALUES = {"ctk", "other", "driver"}
+_VALID_WINDOWS_ARCHES = ("x64", "arm64")
 _CATALOG_BY_NAME = {spec.name: spec for spec in DESCRIPTOR_CATALOG}
 
 
@@ -59,7 +60,7 @@ def test_no_self_dependency(spec: DescriptorSpec):
 def test_driver_libs_have_no_site_packages(spec: DescriptorSpec):
     """Driver libs are system-search-only; site-packages paths would be unused."""
     assert not spec.site_packages_linux, f"driver lib {spec.name} has site_packages_linux"
-    assert not spec.site_packages_windows, f"driver lib {spec.name} has site_packages_windows"
+    assert spec.site_packages_windows == WindowsSearchDirs(), f"driver lib {spec.name} has site_packages_windows"
 
 
 @pytest.mark.parametrize(
@@ -85,6 +86,35 @@ def test_windows_dlls_look_like_dlls(spec: DescriptorSpec):
         assert dll.endswith(".dll"), f"Unexpected Windows DLL format: {dll}"
 
 
+@pytest.mark.parametrize("spec", DESCRIPTOR_CATALOG, ids=lambda s: s.name)
+@pytest.mark.agent_authored(model="gpt-5")
+def test_supported_windows_arch_is_explicit_and_canonical(spec: DescriptorSpec):
+    expected = tuple(arch for arch in _VALID_WINDOWS_ARCHES if arch in spec.supported_windows_arch)
+    assert spec.supported_windows_arch == expected
+    assert bool(spec.supported_windows_arch) == bool(spec.windows_dlls)
+
+
+@pytest.mark.parametrize("spec", DESCRIPTOR_CATALOG, ids=lambda s: s.name)
+@pytest.mark.agent_authored(model="gpt-5")
+def test_windows_search_dirs_do_not_include_unsupported_arches(spec: DescriptorSpec):
+    if not spec.windows_dlls:
+        return
+    for arch in _VALID_WINDOWS_ARCHES:
+        if arch not in spec.supported_windows_arch:
+            assert not spec.site_packages_windows.for_arch(arch)
+            assert not spec.anchor_rel_dirs_windows.for_arch(arch)
+
+
+@pytest.mark.agent_authored(model="gpt-5")
+def test_cusparselt_windows_metadata_matches_wheel_layouts():
+    spec = _CATALOG_BY_NAME["cusparseLt"]
+    assert spec.supported_windows_arch == ("x64", "arm64")
+    assert spec.site_packages_windows == WindowsSearchDirs(
+        x64=("nvidia/cu13/bin/x64", "nvidia/cusparselt/bin"),
+        arm64=("nvidia/cu13/bin/arm64",),
+    )
+
+
 @pytest.mark.parametrize("spec", DESCRIPTOR_CATALOG, ids=lambda s: s.name)
 def test_ctk_root_canary_anchors_reference_known_ctk_libs(spec: DescriptorSpec):
     for anchor in spec.ctk_root_canary_anchor_libnames:
@@ -96,3 +126,10 @@ def test_ctk_root_canary_anchors_reference_known_ctk_libs(spec: DescriptorSpec):
 def test_only_ctk_libs_define_ctk_root_canary_anchors(spec: DescriptorSpec):
     if spec.ctk_root_canary_anchor_libnames:
         assert spec.packaged_with == "ctk", f"{spec.name} defines canary anchors but is not a CTK lib"
+
+
+@pytest.mark.agent_authored(model="gpt-5")
+def test_only_nvvm_requires_windows_binary_arch_check():
+    checked_libs = {spec.name for spec in DESCRIPTOR_CATALOG if spec.requires_windows_binary_arch_check}
+
+    assert checked_libs == {"nvvm"}
diff --git a/cuda_pathfinder/tests/test_driver_lib_loading.py b/cuda_pathfinder/tests/test_driver_lib_loading.py
index b97453c9b5a..defca06abed 100644
--- a/cuda_pathfinder/tests/test_driver_lib_loading.py
+++ b/cuda_pathfinder/tests/test_driver_lib_loading.py
@@ -9,14 +9,15 @@
 """
 
 import os
+from pathlib import Path
 
 import pytest
 from child_load_nvidia_dynamic_lib_helper import (
     build_child_process_failed_for_libname_message,
     run_load_nvidia_dynamic_lib_in_subprocess,
 )
-
 from conftest import skip_if_missing_libnvcudla_so
+
 from cuda.pathfinder._dynamic_libs.lib_descriptor import LIB_DESCRIPTORS
 from cuda.pathfinder._dynamic_libs.load_dl_common import DynamicLibNotFoundError, LoadedDL
 from cuda.pathfinder._dynamic_libs.load_nvidia_dynamic_lib import (
@@ -157,7 +158,7 @@ def raise_child_process_failed():
         abs_path = payload.abs_path
         assert abs_path is not None
         info_summary_append(f"abs_path={quote_for_shell(abs_path)}")
-        assert os.path.isfile(abs_path)
+        assert Path(abs_path).is_file()
 
 
 def test_real_query_driver_cuda_version(info_summary_append):
diff --git a/cuda_pathfinder/tests/test_find_bitcode_lib.py b/cuda_pathfinder/tests/test_find_bitcode_lib.py
index 659b068f0ff..6b5f2de49eb 100644
--- a/cuda_pathfinder/tests/test_find_bitcode_lib.py
+++ b/cuda_pathfinder/tests/test_find_bitcode_lib.py
@@ -66,7 +66,7 @@ def _located_bitcode_lib_asserts(located_bitcode_lib):
     assert isinstance(located_bitcode_lib.filename, str)
     assert isinstance(located_bitcode_lib.found_via, str)
     assert located_bitcode_lib.found_via in ("site-packages", "conda", "CUDA_PATH")
-    assert os.path.isfile(located_bitcode_lib.abs_path)
+    assert Path(located_bitcode_lib.abs_path).is_file()
 
 
 @pytest.mark.usefixtures("clear_find_bitcode_lib_cache")
@@ -83,10 +83,10 @@ def test_locate_bitcode_lib(info_summary_append, libname):
 
     info_summary_append(f"{lib_path=!r}")
     _located_bitcode_lib_asserts(located_lib)
-    assert os.path.isfile(lib_path)
+    assert Path(lib_path).is_file()
     assert lib_path == located_lib.abs_path
     expected_filename = located_lib.filename
-    assert os.path.basename(lib_path) == expected_filename
+    assert Path(lib_path).name == expected_filename
 
 
 @pytest.mark.usefixtures("clear_find_bitcode_lib_cache")
@@ -156,7 +156,7 @@ def test_find_bitcode_lib_not_found_error_includes_cuda_home_directory_listing(m
         find_bitcode_lib("device")
 
     message = str(exc_info.value)
-    expected_missing_file = os.path.join(str(lib_dir), _bitcode_lib_filename("device"))
+    expected_missing_file = lib_dir / _bitcode_lib_filename("device")
     assert f"No such file: {expected_missing_file}" in message
     assert f'listdir("{lib_dir}"):' in message
     assert "README.txt" in message
diff --git a/cuda_pathfinder/tests/test_find_nvidia_headers.py b/cuda_pathfinder/tests/test_find_nvidia_headers.py
index 90fe3cf9815..3e045dae265 100644
--- a/cuda_pathfinder/tests/test_find_nvidia_headers.py
+++ b/cuda_pathfinder/tests/test_find_nvidia_headers.py
@@ -20,9 +20,9 @@
 from pathlib import Path
 
 import pytest
+from conftest import skip_if_missing_libnvcudla_so
 
 import cuda.pathfinder._headers.find_nvidia_headers as find_nvidia_headers_module
-from conftest import skip_if_missing_libnvcudla_so
 from cuda.pathfinder import LocatedHeaderDir, find_nvidia_header_directory, locate_nvidia_header_directory
 from cuda.pathfinder._dynamic_libs.load_nvidia_dynamic_lib import (
     _resolve_system_loaded_abs_path_in_subprocess,
@@ -138,12 +138,12 @@ def test_locate_non_ctk_headers(info_summary_append, libname):
     info_summary_append(f"{hdr_dir=!r}")
     if hdr_dir:
         _located_hdr_dir_asserts(located_hdr_dir)
-        assert os.path.isdir(hdr_dir)
-        assert os.path.isfile(os.path.join(hdr_dir, SUPPORTED_HEADERS_NON_CTK[libname]))
+        hdr_dir_path = Path(hdr_dir)
+        assert hdr_dir_path.is_dir()
+        assert (hdr_dir_path / SUPPORTED_HEADERS_NON_CTK[libname]).is_file()
     if have_distribution_for(libname):
         assert hdr_dir is not None
-        hdr_dir_parts = hdr_dir.split(os.path.sep)
-        assert "site-packages" in hdr_dir_parts
+        assert "site-packages" in Path(hdr_dir).parts
     elif STRICTNESS == "all_must_work":
         assert hdr_dir is not None
         if conda_prefix := os.environ.get("CONDA_PREFIX"):
@@ -152,6 +152,8 @@ def test_locate_non_ctk_headers(info_summary_append, libname):
             inst_dirs = SUPPORTED_INSTALL_DIRS_NON_CTK.get(libname)
             if inst_dirs is not None:
                 for inst_dir in inst_dirs:
+                    # Absolute glob pattern: Path.glob needs a separate base dir,
+                    # and the wildcard is not pinned to the last component.
                     globbed = glob.glob(inst_dir)
                     if hdr_dir in globbed:
                         break
@@ -172,9 +174,10 @@ def test_locate_ctk_headers(info_summary_append, libname):
     info_summary_append(f"{hdr_dir=!r}")
     if hdr_dir:
         _located_hdr_dir_asserts(located_hdr_dir)
-        assert os.path.isdir(hdr_dir)
+        hdr_dir_path = Path(hdr_dir)
+        assert hdr_dir_path.is_dir()
         h_filename = SUPPORTED_HEADERS_CTK[libname]
-        assert os.path.isfile(os.path.join(hdr_dir, h_filename))
+        assert (hdr_dir_path / h_filename).is_file()
     if STRICTNESS == "all_must_work":
         if libname == "cudla":
             skip_if_missing_libnvcudla_so(libname, timeout=30)
diff --git a/cuda_pathfinder/tests/test_find_static_lib.py b/cuda_pathfinder/tests/test_find_static_lib.py
index e5560dcabbf..cf0e62dc8a2 100644
--- a/cuda_pathfinder/tests/test_find_static_lib.py
+++ b/cuda_pathfinder/tests/test_find_static_lib.py
@@ -52,7 +52,7 @@ def _located_static_lib_asserts(located_static_lib):
     assert isinstance(located_static_lib.filename, str)
     assert isinstance(located_static_lib.found_via, str)
     assert located_static_lib.found_via in ("site-packages", "conda", "CUDA_PATH")
-    assert os.path.isfile(located_static_lib.abs_path)
+    assert Path(located_static_lib.abs_path).is_file()
 
 
 @pytest.mark.usefixtures("clear_find_static_lib_cache")
@@ -69,10 +69,10 @@ def test_locate_static_lib(info_summary_append, libname):
 
     info_summary_append(f"abs_path={quote_for_shell(lib_path)}")
     _located_static_lib_asserts(located_lib)
-    assert os.path.isfile(lib_path)
+    assert Path(lib_path).is_file()
     assert lib_path == located_lib.abs_path
     expected_filename = located_lib.filename
-    assert os.path.basename(lib_path) == expected_filename
+    assert Path(lib_path).name == expected_filename
 
 
 @pytest.mark.usefixtures("clear_find_static_lib_cache")
@@ -81,7 +81,7 @@ def test_locate_static_lib_search_order(monkeypatch, tmp_path):
     conda_rel_path = CUDADEVRT_INFO["conda_rel_paths"][0]
 
     site_pkg_rel = CUDADEVRT_INFO["site_packages_dirs"][0]
-    site_packages_lib_dir = tmp_path / "site-packages" / Path(site_pkg_rel.replace("/", os.sep))
+    site_packages_lib_dir = tmp_path / "site-packages" / Path(site_pkg_rel)
     site_packages_path = _make_static_lib_file(site_packages_lib_dir, filename)
 
     conda_prefix = tmp_path / "conda-prefix"
@@ -143,6 +143,41 @@ def test_locate_static_lib_conda_rel_path_fallback(monkeypatch, tmp_path):
     assert located_lib.found_via == "conda"
 
 
+@pytest.mark.parametrize(
+    ("target_arch", "expected_ctk_dirs", "expected_conda_dirs", "expected_site_packages_dirs"),
+    (
+        (
+            "x64",
+            (os.path.join("lib", "x64"),),
+            (os.path.join("lib", "x64"), "lib"),
+            ("nvidia/cu13/lib/x64", "nvidia/cuda_runtime/lib/x64"),
+        ),
+        (
+            "arm64",
+            (os.path.join("lib", "arm64"),),
+            (os.path.join("lib", "arm64"),),
+            ("nvidia/cu13/lib/arm64",),
+        ),
+    ),
+)
+@pytest.mark.agent_authored(model="gpt-5.6")
+def test_cudadevrt_windows_paths_follow_python_arch(
+    monkeypatch,
+    target_arch,
+    expected_ctk_dirs,
+    expected_conda_dirs,
+    expected_site_packages_dirs,
+):
+    monkeypatch.setattr(find_static_lib_module, "IS_WINDOWS", True)
+    monkeypatch.setattr(find_static_lib_module, "windows_python_arch", lambda: target_arch)
+
+    info = find_static_lib_module._cudadevrt_info()
+
+    assert info["ctk_rel_paths"] == expected_ctk_dirs
+    assert info["conda_rel_paths"] == expected_conda_dirs
+    assert info["site_packages_dirs"] == expected_site_packages_dirs
+
+
 @pytest.mark.usefixtures("clear_find_static_lib_cache")
 def test_find_static_lib_not_found_error_includes_cuda_home_directory_listing(monkeypatch, tmp_path):
     filename = CUDADEVRT_INFO["filename"]
@@ -167,7 +202,7 @@ def test_find_static_lib_not_found_error_includes_cuda_home_directory_listing(mo
         find_static_lib("cudadevrt")
 
     message = str(exc_info.value)
-    expected_missing_file = os.path.join(str(lib_dir), filename)
+    expected_missing_file = lib_dir / filename
     assert f"No such file: {expected_missing_file}" in message
     assert f'listdir("{lib_dir}"):' in message
     assert "README.txt" in message
diff --git a/cuda_pathfinder/tests/test_lib_descriptor.py b/cuda_pathfinder/tests/test_lib_descriptor.py
index cda96131e13..8715f9181cc 100644
--- a/cuda_pathfinder/tests/test_lib_descriptor.py
+++ b/cuda_pathfinder/tests/test_lib_descriptor.py
@@ -13,10 +13,21 @@
     LIBNAMES_REQUIRING_RTLD_DEEPBIND,
     SITE_PACKAGES_LIBDIRS_LINUX,
     SITE_PACKAGES_LIBDIRS_WINDOWS,
+    SITE_PACKAGES_LIBDIRS_WINDOWS_ARM64,
+    SITE_PACKAGES_LIBDIRS_WINDOWS_CTK,
+    SITE_PACKAGES_LIBDIRS_WINDOWS_CTK_X64,
+    SITE_PACKAGES_LIBDIRS_WINDOWS_OTHER,
+    SITE_PACKAGES_LIBDIRS_WINDOWS_OTHER_X64,
+    SITE_PACKAGES_LIBDIRS_WINDOWS_X64,
     SUPPORTED_LIBNAMES,
+    SUPPORTED_LIBNAMES_LINUX,
+    SUPPORTED_LIBNAMES_WINDOWS,
+    SUPPORTED_LIBNAMES_WINDOWS_ARM64,
+    SUPPORTED_LIBNAMES_WINDOWS_X64,
     SUPPORTED_LINUX_SONAMES,
     SUPPORTED_WINDOWS_DLLS,
 )
+from cuda.pathfinder._utils.platform_aware import IS_WINDOWS, IS_WINDOWS_ARM64, IS_WINDOWS_X64
 
 # ---------------------------------------------------------------------------
 # Registry completeness
@@ -56,9 +67,49 @@ def test_site_packages_linux_match(name):
     assert LIB_DESCRIPTORS[name].site_packages_linux == SITE_PACKAGES_LIBDIRS_LINUX.get(name, ())
 
 
+@pytest.mark.parametrize(
+    ("target_arch", "site_packages_libdirs"),
+    [
+        ("x64", SITE_PACKAGES_LIBDIRS_WINDOWS_X64),
+        ("arm64", SITE_PACKAGES_LIBDIRS_WINDOWS_ARM64),
+    ],
+)
 @pytest.mark.parametrize("name", sorted(LIB_DESCRIPTORS))
-def test_site_packages_windows_match(name):
-    assert LIB_DESCRIPTORS[name].site_packages_windows == SITE_PACKAGES_LIBDIRS_WINDOWS.get(name, ())
+@pytest.mark.agent_authored(model="gpt-5")
+def test_site_packages_windows_match(name, target_arch, site_packages_libdirs):
+    assert LIB_DESCRIPTORS[name].site_packages_windows.for_arch(target_arch) == site_packages_libdirs.get(name, ())
+
+
+@pytest.mark.agent_authored(model="gpt-5")
+def test_legacy_site_packages_windows_tables_are_x64_aliases():
+    assert SITE_PACKAGES_LIBDIRS_WINDOWS_CTK is SITE_PACKAGES_LIBDIRS_WINDOWS_CTK_X64
+    assert SITE_PACKAGES_LIBDIRS_WINDOWS_OTHER is SITE_PACKAGES_LIBDIRS_WINDOWS_OTHER_X64
+    assert SITE_PACKAGES_LIBDIRS_WINDOWS is SITE_PACKAGES_LIBDIRS_WINDOWS_X64
+
+
+@pytest.mark.agent_authored(model="gpt-5")
+def test_legacy_supported_libnames_windows_is_x64_alias():
+    assert SUPPORTED_LIBNAMES_WINDOWS is SUPPORTED_LIBNAMES_WINDOWS_X64
+
+
+@pytest.mark.agent_authored(model="gpt-5")
+def test_supported_libnames_selects_current_platform_and_arch():
+    if not IS_WINDOWS:
+        expected = SUPPORTED_LIBNAMES_LINUX
+    elif IS_WINDOWS_X64:
+        expected = SUPPORTED_LIBNAMES_WINDOWS_X64
+    else:
+        assert IS_WINDOWS_ARM64
+        expected = SUPPORTED_LIBNAMES_WINDOWS_ARM64
+    assert SUPPORTED_LIBNAMES is expected
+
+
+@pytest.mark.agent_authored(model="gpt-5")
+def test_arch_specific_ctk_libname_projections():
+    assert "cudla" not in SUPPORTED_LIBNAMES_WINDOWS_X64
+    assert "cudla" in SUPPORTED_LIBNAMES_WINDOWS_ARM64
+    assert "nvjpeg" in SUPPORTED_LIBNAMES_WINDOWS_X64
+    assert "nvjpeg" in SUPPORTED_LIBNAMES_WINDOWS_ARM64
 
 
 @pytest.mark.parametrize("name", sorted(LIB_DESCRIPTORS))
diff --git a/cuda_pathfinder/tests/test_load_nvidia_dynamic_lib.py b/cuda_pathfinder/tests/test_load_nvidia_dynamic_lib.py
index 3e240dcf468..66ede86c6ad 100644
--- a/cuda_pathfinder/tests/test_load_nvidia_dynamic_lib.py
+++ b/cuda_pathfinder/tests/test_load_nvidia_dynamic_lib.py
@@ -3,15 +3,16 @@
 
 import os
 import platform
+from pathlib import Path
 
 import pytest
 from child_load_nvidia_dynamic_lib_helper import (
     build_child_process_failed_for_libname_message,
     run_load_nvidia_dynamic_lib_in_subprocess,
 )
+from conftest import skip_if_missing_libnvcudla_so
 from local_helpers import have_distribution
 
-from conftest import skip_if_missing_libnvcudla_so
 from cuda.pathfinder import DynamicLibNotAvailableError, DynamicLibUnknownError, load_nvidia_dynamic_lib
 from cuda.pathfinder._dynamic_libs import load_nvidia_dynamic_lib as load_nvidia_dynamic_lib_module
 from cuda.pathfinder._dynamic_libs import supported_nvidia_libs
@@ -25,32 +26,49 @@
 assert STRICTNESS in ("see_what_works", "all_must_work")
 
 
+@pytest.mark.agent_authored(model="gpt-5")
+def test_loader_uses_all_available_libnames():
+    assert supported_nvidia_libs.ALL_AVAILABLE_LIBNAMES == load_nvidia_dynamic_lib_module.ALL_AVAILABLE_LIBNAMES
+
+
 def test_supported_libnames_linux_sonames_consistency():
     assert tuple(sorted(supported_nvidia_libs.SUPPORTED_LIBNAMES_LINUX)) == tuple(
         sorted(supported_nvidia_libs.SUPPORTED_LINUX_SONAMES_CTK.keys())
     )
 
 
-def test_supported_libnames_windows_dlls_consistency():
-    assert tuple(sorted(supported_nvidia_libs.SUPPORTED_LIBNAMES_WINDOWS)) == tuple(
-        sorted(supported_nvidia_libs.SUPPORTED_WINDOWS_DLLS_CTK.keys())
-    )
-
-
 def test_supported_libnames_linux_site_packages_libdirs_ctk_consistency():
     assert tuple(sorted(supported_nvidia_libs.SUPPORTED_LIBNAMES_LINUX)) == tuple(
         sorted(supported_nvidia_libs.SITE_PACKAGES_LIBDIRS_LINUX_CTK.keys())
     )
 
 
-def test_supported_libnames_windows_site_packages_libdirs_ctk_consistency():
+@pytest.mark.parametrize(
+    ("site_packages_libdirs", "supported_libnames"),
+    [
+        pytest.param(
+            supported_nvidia_libs.SITE_PACKAGES_LIBDIRS_WINDOWS_CTK_X64,
+            supported_nvidia_libs.SUPPORTED_LIBNAMES_WINDOWS_X64,
+            id="x64",
+        ),
+        pytest.param(
+            supported_nvidia_libs.SITE_PACKAGES_LIBDIRS_WINDOWS_CTK_ARM64,
+            supported_nvidia_libs.SUPPORTED_LIBNAMES_WINDOWS_ARM64,
+            id="arm64",
+        ),
+    ],
+)
+@pytest.mark.human_reviewed
+def test_supported_libnames_windows_site_packages_libdirs_ctk_consistency(
+    site_packages_libdirs,
+    supported_libnames,
+):
     # Not every Windows CTK library ships in a pip wheel (e.g. cudla is loaded
     # from the local CUDA Toolkit only), so a library may legitimately omit
     # site_packages_windows. Only assert that every site-packages entry maps to
     # a supported Windows libname, not the other way around.
-    site_packages_libnames = set(supported_nvidia_libs.SITE_PACKAGES_LIBDIRS_WINDOWS_CTK.keys())
-    supported_libnames = set(supported_nvidia_libs.SUPPORTED_LIBNAMES_WINDOWS)
-    assert site_packages_libnames <= supported_libnames
+    site_packages_libnames = set(site_packages_libdirs)
+    assert site_packages_libnames <= set(supported_libnames)
 
 
 @pytest.mark.parametrize("dict_name", ["SUPPORTED_LINUX_SONAMES", "SUPPORTED_WINDOWS_DLLS"])
@@ -88,7 +106,7 @@ def test_unknown_libname_raises_dynamic_lib_unknown_error():
 def test_known_but_platform_unavailable_libname_raises_dynamic_lib_not_available_error(monkeypatch):
     load_nvidia_dynamic_lib.cache_clear()
     monkeypatch.setattr(load_nvidia_dynamic_lib_module, "_ALL_KNOWN_LIBNAMES", frozenset(("known_but_unavailable",)))
-    monkeypatch.setattr(load_nvidia_dynamic_lib_module, "_ALL_SUPPORTED_LIBNAMES", frozenset())
+    monkeypatch.setattr(load_nvidia_dynamic_lib_module, "ALL_AVAILABLE_LIBNAMES", frozenset())
     monkeypatch.setattr(load_nvidia_dynamic_lib_module, "_PLATFORM_NAME", "TestOS")
     with pytest.raises(
         DynamicLibNotAvailableError,
@@ -142,4 +160,4 @@ def raise_child_process_failed():
         abs_path = payload.abs_path
         assert abs_path is not None
         info_summary_append(f"abs_path={quote_for_shell(abs_path)}")
-        assert os.path.isfile(abs_path)  # double-check the abs_path
+        assert Path(abs_path).is_file()  # double-check the abs_path
diff --git a/cuda_pathfinder/tests/test_search_steps.py b/cuda_pathfinder/tests/test_search_steps.py
index 1b881707dfb..54136dc34e1 100644
--- a/cuda_pathfinder/tests/test_search_steps.py
+++ b/cuda_pathfinder/tests/test_search_steps.py
@@ -9,6 +9,9 @@
 
 import pytest
 
+from cuda.pathfinder import UnsupportedArchError
+from cuda.pathfinder._dynamic_libs import search_platform as search_platform_mod
+from cuda.pathfinder._dynamic_libs.descriptor_catalog import WindowsSearchDirs
 from cuda.pathfinder._dynamic_libs.lib_descriptor import LIB_DESCRIPTORS, LibDescriptor
 from cuda.pathfinder._dynamic_libs.load_dl_common import DynamicLibNotFoundError
 from cuda.pathfinder._dynamic_libs.search_platform import LinuxSearchPlatform, WindowsSearchPlatform
@@ -23,6 +26,7 @@
     find_in_site_packages,
     run_find_steps,
 )
+from cuda.pathfinder._utils import windows_arch as windows_arch_mod
 
 _STEPS_MOD = "cuda.pathfinder._dynamic_libs.search_steps"
 _PLAT_MOD = "cuda.pathfinder._dynamic_libs.search_platform"
@@ -40,7 +44,10 @@ def _make_desc(name: str = "cudart", **overrides) -> LibDescriptor:
         "linux_sonames": ("libcudart.so",),
         "windows_dlls": ("cudart64_12.dll",),
         "site_packages_linux": (os.path.join("nvidia", "cuda_runtime", "lib"),),
-        "site_packages_windows": (os.path.join("nvidia", "cuda_runtime", "bin"),),
+        "site_packages_windows": WindowsSearchDirs(
+            x64=(os.path.join("nvidia", "cuda_runtime", "bin"),),
+            arm64=(os.path.join("nvidia", "cuda_runtime", "bin"),),
+        ),
     }
     defaults.update(overrides)
     return LibDescriptor(**defaults)
@@ -52,6 +59,23 @@ def _ctx(desc: LibDescriptor | None = None, *, platform=None) -> SearchContext:
     return SearchContext(desc or _make_desc(), platform=platform)
 
 
+def _patch_site_packages_search(mocker, root):
+    def _find_sub_dirs(sub_dirs):
+        path = root.joinpath(*sub_dirs)
+        return [str(path)] if path.is_dir() else []
+
+    return mocker.patch(f"{_PLAT_MOD}.find_sub_dirs_all_sitepackages", side_effect=_find_sub_dirs)
+
+
+def _write_pe(path, machine):
+    image = bytearray(0x86)
+    image[:2] = b"MZ"
+    image[0x3C:0x40] = (0x80).to_bytes(4, "little")
+    image[0x80:0x84] = b"PE\0\0"
+    image[0x84:0x86] = machine.to_bytes(2, "little")
+    path.write_bytes(image)
+
+
 # ---------------------------------------------------------------------------
 # SearchContext
 # ---------------------------------------------------------------------------
@@ -67,7 +91,7 @@ def test_lib_searched_for_linux(self):
         assert ctx.lib_searched_for == "libcublas.so"
 
     def test_lib_searched_for_windows(self):
-        ctx = SearchContext(_make_desc(name="cublas"), platform=WindowsSearchPlatform())
+        ctx = SearchContext(_make_desc(name="cublas"), platform=WindowsSearchPlatform(target_arch="x64"))
         assert ctx.lib_searched_for == "cublas*.dll"
 
     def test_raise_not_found_includes_messages(self):
@@ -83,6 +107,71 @@ def test_raise_not_found_empty_messages(self):
             ctx.raise_not_found()
 
 
+# ---------------------------------------------------------------------------
+# Windows Python architecture detection
+# ---------------------------------------------------------------------------
+
+
+class TestWindowsPythonArch:
+    @pytest.mark.agent_authored(model="gpt-5")
+    def test_linux_platform_does_not_detect_windows_arch(self, mocker):
+        mocker.patch.object(search_platform_mod, "IS_WINDOWS", False)
+        get_windows_arch = mocker.patch.object(search_platform_mod, "windows_python_arch")
+
+        platform = search_platform_mod._platform_for_current_system()
+
+        assert isinstance(platform, LinuxSearchPlatform)
+        get_windows_arch.assert_not_called()
+
+    @pytest.mark.agent_authored(model="gpt-5")
+    def test_detects_sysconfig_x64(self, mocker):
+        mocker.patch.object(windows_arch_mod.sysconfig, "get_platform", return_value="win-amd64")
+
+        assert windows_arch_mod.windows_python_arch() == "x64"
+
+    @pytest.mark.agent_authored(model="gpt-5")
+    def test_detects_sysconfig_arm64(self, mocker):
+        mocker.patch.object(windows_arch_mod.sysconfig, "get_platform", return_value="win-arm64")
+
+        assert windows_arch_mod.windows_python_arch() == "arm64"
+
+    @pytest.mark.agent_authored(model="gpt-5")
+    def test_rejects_unknown_sysconfig_tag(self, mocker):
+        mocker.patch.object(windows_arch_mod.sysconfig, "get_platform", return_value="custom-win")
+
+        with pytest.raises(
+            UnsupportedArchError,
+            match=r"Unsupported Windows Python platform tag: 'custom-win'.*win-amd64.*win-arm64",
+        ) as exc_info:
+            windows_arch_mod.windows_python_arch()
+        assert exc_info.value.platform_tag == "custom-win"
+
+
+@pytest.mark.parametrize(
+    ("machine", "target_arch", "expected"),
+    (
+        (0x8664, "x64", True),
+        (0x8664, "arm64", False),
+        (0xAA64, "x64", False),
+        (0xAA64, "arm64", True),
+    ),
+)
+@pytest.mark.agent_authored(model="gpt-5")
+def test_windows_pe_matches_arch(tmp_path, machine, target_arch, expected):
+    dll = tmp_path / "test.dll"
+    _write_pe(dll, machine)
+
+    assert windows_arch_mod.windows_pe_matches_arch(str(dll), target_arch) is expected
+
+
+@pytest.mark.agent_authored(model="gpt-5")
+def test_windows_pe_matches_arch_rejects_malformed_file(tmp_path):
+    dll = tmp_path / "test.dll"
+    dll.write_bytes(b"not a PE file")
+
+    assert windows_arch_mod.windows_pe_matches_arch(str(dll), "x64") is False
+
+
 # ---------------------------------------------------------------------------
 # find_in_site_packages
 # ---------------------------------------------------------------------------
@@ -90,7 +179,7 @@ def test_raise_not_found_empty_messages(self):
 
 class TestFindInSitePackages:
     def test_returns_none_when_no_rel_dirs(self):
-        desc = _make_desc(site_packages_linux=(), site_packages_windows=())
+        desc = _make_desc(site_packages_linux=(), site_packages_windows=WindowsSearchDirs())
         result = find_in_site_packages(_ctx(desc))
         assert result is None
 
@@ -127,13 +216,93 @@ def test_found_windows(self, mocker, tmp_path):
 
         desc = _make_desc(
             name="cudart",
-            site_packages_windows=(os.path.join("nvidia", "cuda_runtime", "bin"),),
+            site_packages_windows=WindowsSearchDirs(
+                x64=(os.path.join("nvidia", "cuda_runtime", "bin"),),
+                arm64=(os.path.join("nvidia", "cuda_runtime", "bin"),),
+            ),
         )
-        result = find_in_site_packages(_ctx(desc, platform=WindowsSearchPlatform()))
+        result = find_in_site_packages(_ctx(desc, platform=WindowsSearchPlatform(target_arch="x64")))
         assert result is not None
         assert result.abs_path == str(dll)
         assert result.found_via == "site-packages"
 
+    @pytest.mark.agent_authored(model="gpt-5")
+    def test_found_windows_arm64_prefers_cuda13_arch_dir_to_cuda12(self, mocker, tmp_path):
+        x86_64_dir = tmp_path / "nvidia" / "cu13" / "bin" / "x86_64"
+        arm64_dir = tmp_path / "nvidia" / "cu13" / "bin" / "arm64"
+        cuda12_dir = tmp_path / "nvidia" / "cuda_runtime" / "bin"
+        x86_64_dir.mkdir(parents=True)
+        arm64_dir.mkdir(parents=True)
+        cuda12_dir.mkdir(parents=True)
+        (x86_64_dir / "cudart64_12.dll").touch()
+        (cuda12_dir / "cudart64_12.dll").touch()
+        arm64_dll = arm64_dir / "cudart64_12.dll"
+        arm64_dll.touch()
+
+        _patch_site_packages_search(mocker, tmp_path)
+        mocker.patch(f"{_PLAT_MOD}.is_suppressed_dll_file", return_value=False)
+
+        desc = LIB_DESCRIPTORS["cudart"]
+        result = find_in_site_packages(_ctx(desc, platform=WindowsSearchPlatform(target_arch="arm64")))
+        assert result is not None
+        assert result.abs_path == str(arm64_dll)
+        assert result.found_via == "site-packages"
+
+    @pytest.mark.agent_authored(model="gpt-5")
+    def test_found_windows_x64_prefers_cuda13_arch_dir_to_cuda12(self, mocker, tmp_path):
+        x86_64_dir = tmp_path / "nvidia" / "cu13" / "bin" / "x86_64"
+        arm64_dir = tmp_path / "nvidia" / "cu13" / "bin" / "arm64"
+        cuda12_dir = tmp_path / "nvidia" / "cuda_runtime" / "bin"
+        x86_64_dir.mkdir(parents=True)
+        arm64_dir.mkdir(parents=True)
+        cuda12_dir.mkdir(parents=True)
+        x86_64_dll = x86_64_dir / "cudart64_12.dll"
+        x86_64_dll.touch()
+        (arm64_dir / "cudart64_12.dll").touch()
+        (cuda12_dir / "cudart64_12.dll").touch()
+
+        _patch_site_packages_search(mocker, tmp_path)
+        mocker.patch(f"{_PLAT_MOD}.is_suppressed_dll_file", return_value=False)
+
+        desc = LIB_DESCRIPTORS["cudart"]
+        result = find_in_site_packages(_ctx(desc, platform=WindowsSearchPlatform(target_arch="x64")))
+        assert result is not None
+        assert result.abs_path == str(x86_64_dll)
+        assert result.found_via == "site-packages"
+
+    @pytest.mark.agent_authored(model="gpt-5")
+    def test_found_windows_x64_uses_cuda12_when_cuda13_is_absent(self, mocker, tmp_path):
+        cuda12_dir = tmp_path / "nvidia" / "cuda_runtime" / "bin"
+        cuda12_dir.mkdir(parents=True)
+        cuda12_dll = cuda12_dir / "cudart64_12.dll"
+        cuda12_dll.touch()
+
+        _patch_site_packages_search(mocker, tmp_path)
+        mocker.patch(f"{_PLAT_MOD}.is_suppressed_dll_file", return_value=False)
+
+        desc = LIB_DESCRIPTORS["cudart"]
+        result = find_in_site_packages(_ctx(desc, platform=WindowsSearchPlatform(target_arch="x64")))
+        assert result is not None
+        assert result.abs_path == str(cuda12_dll)
+        assert result.found_via == "site-packages"
+
+    @pytest.mark.agent_authored(model="gpt-5")
+    def test_found_windows_arm64_skips_cuda12_when_cuda13_is_absent(self, mocker, tmp_path):
+        cuda12_dir = tmp_path / "nvidia" / "cuda_runtime" / "bin"
+        cuda12_dir.mkdir(parents=True)
+        (cuda12_dir / "cudart64_12.dll").touch()
+
+        _patch_site_packages_search(mocker, tmp_path)
+        mocker.patch(f"{_PLAT_MOD}.is_suppressed_dll_file", return_value=False)
+
+        desc = LIB_DESCRIPTORS["cudart"]
+        platform = WindowsSearchPlatform(target_arch="arm64")
+        assert platform.site_packages_rel_dirs(desc) == ("nvidia/cu13/bin/arm64",)
+
+        result = find_in_site_packages(_ctx(desc, platform=platform))
+
+        assert result is None
+
     def test_not_found_appends_error(self, mocker, tmp_path):
         empty_dir = tmp_path / "nvidia" / "cuda_runtime" / "lib"
         empty_dir.mkdir(parents=True)
@@ -241,11 +410,28 @@ def test_found_windows(self, mocker, tmp_path):
 
         mocker.patch.dict(os.environ, {"CONDA_PREFIX": str(tmp_path)})
 
-        result = find_in_conda(_ctx(platform=WindowsSearchPlatform()))
+        result = find_in_conda(_ctx(platform=WindowsSearchPlatform(target_arch="x64")))
         assert result is not None
         assert result.abs_path == str(dll)
         assert result.found_via == "conda"
 
+    @pytest.mark.agent_authored(model="gpt-5")
+    def test_found_windows_arm64_prefers_arch_dir(self, mocker, tmp_path):
+        x64_dir = tmp_path / "Library" / "bin" / "x64"
+        arm64_dir = tmp_path / "Library" / "bin" / "arm64"
+        x64_dir.mkdir(parents=True)
+        arm64_dir.mkdir(parents=True)
+        (x64_dir / "cudart64_12.dll").touch()
+        arm64_dll = arm64_dir / "cudart64_12.dll"
+        arm64_dll.touch()
+
+        mocker.patch.dict(os.environ, {"CONDA_PREFIX": str(tmp_path)})
+
+        result = find_in_conda(_ctx(platform=WindowsSearchPlatform(target_arch="arm64")))
+        assert result is not None
+        assert result.abs_path == str(arm64_dll)
+        assert result.found_via == "conda"
+
     # The next three tests cover the Linux glob fallback in
     # cuda.pathfinder._dynamic_libs.search_platform.LinuxSearchPlatform.find_in_lib_dir,
     # which is exercised by find_in_conda (and find_in_cuda_path) when the
@@ -326,11 +512,57 @@ def test_found_windows(self, mocker, tmp_path):
 
         mocker.patch(f"{_STEPS_MOD}.get_cuda_path_or_home", return_value=str(tmp_path))
 
-        result = find_in_cuda_path(_ctx(platform=WindowsSearchPlatform()))
+        result = find_in_cuda_path(_ctx(platform=WindowsSearchPlatform(target_arch="x64")))
         assert result is not None
         assert result.abs_path == str(dll)
         assert result.found_via == "CUDA_PATH"
 
+    @pytest.mark.agent_authored(model="gpt-5")
+    def test_found_windows_arm64_prefers_arch_dir(self, mocker, tmp_path):
+        x64_dir = tmp_path / "bin" / "x64"
+        arm64_dir = tmp_path / "bin" / "arm64"
+        x64_dir.mkdir(parents=True)
+        arm64_dir.mkdir(parents=True)
+        (x64_dir / "cudart64_12.dll").touch()
+        arm64_dll = arm64_dir / "cudart64_12.dll"
+        arm64_dll.touch()
+
+        mocker.patch(f"{_STEPS_MOD}.get_cuda_path_or_home", return_value=str(tmp_path))
+
+        result = find_in_cuda_path(_ctx(platform=WindowsSearchPlatform(target_arch="arm64")))
+        assert result is not None
+        assert result.abs_path == str(arm64_dll)
+        assert result.found_via == "CUDA_PATH"
+
+    @pytest.mark.parametrize(
+        ("target_arch", "machine", "expected_found"),
+        (
+            ("x64", 0x8664, True),
+            ("x64", 0xAA64, False),
+            ("arm64", 0x8664, False),
+            ("arm64", 0xAA64, True),
+        ),
+    )
+    @pytest.mark.agent_authored(model="gpt-5")
+    def test_nvvm_windows_checks_binary_arch(self, mocker, tmp_path, target_arch, machine, expected_found):
+        nvvm_dir = tmp_path / "nvvm" / "bin"
+        nvvm_dir.mkdir(parents=True)
+        dll = nvvm_dir / "nvvm64_40_0.dll"
+        _write_pe(dll, machine)
+
+        mocker.patch(f"{_STEPS_MOD}.get_cuda_path_or_home", return_value=str(tmp_path))
+
+        ctx = _ctx(LIB_DESCRIPTORS["nvvm"], platform=WindowsSearchPlatform(target_arch=target_arch))
+        result = find_in_cuda_path(ctx)
+
+        assert (result is not None) is expected_found
+        if expected_found:
+            assert result is not None
+            assert result.abs_path == str(dll)
+            assert result.found_via == "CUDA_PATH"
+        else:
+            assert any(f"No {target_arch}-compatible PE file" in message for message in ctx.error_messages)
+
 
 # ---------------------------------------------------------------------------
 # run_find_steps
@@ -388,19 +620,63 @@ def test_early_and_late_are_disjoint(self):
 class TestAnchorRelDirs:
     """Verify that descriptor anchor paths drive directory resolution."""
 
+    @pytest.mark.agent_authored(model="gpt-5")
+    def test_windows_search_dirs_arch_only_constructors(self):
+        assert WindowsSearchDirs.x64_only("first", "second") == WindowsSearchDirs(x64=("first", "second"))
+        assert WindowsSearchDirs.arm64_only("first", "second") == WindowsSearchDirs(arm64=("first", "second"))
+
     def test_nvvm_has_custom_linux_paths(self):
         desc = LIB_DESCRIPTORS["nvvm"]
         assert desc.anchor_rel_dirs_linux == ("nvvm/lib64",)
 
     def test_nvvm_has_custom_windows_paths(self):
         desc = LIB_DESCRIPTORS["nvvm"]
-        assert desc.anchor_rel_dirs_windows == ("nvvm/bin/*", "nvvm/bin")
+        assert desc.anchor_rel_dirs_windows.for_arch("x64") == ("nvvm/bin/x64", "nvvm/bin")
+        assert desc.anchor_rel_dirs_windows.for_arch("arm64") == ("nvvm/bin",)
+
+    @pytest.mark.agent_authored(model="gpt-5")
+    def test_cupti_has_custom_windows_paths(self):
+        desc = LIB_DESCRIPTORS["cupti"]
+        assert desc.anchor_rel_dirs_windows.for_arch("x64") == (
+            "extras/CUPTI/lib/x64",
+            "extras/CUPTI/lib64",
+            "bin",
+        )
+        assert desc.anchor_rel_dirs_windows.for_arch("arm64") == ("extras/CUPTI/lib/arm64",)
 
     @pytest.mark.parametrize("libname", ["cudart", "cublas", "nvrtc"])
     def test_regular_ctk_libs_use_defaults(self, libname):
         desc = LIB_DESCRIPTORS[libname]
         assert desc.anchor_rel_dirs_linux == ("lib64", "lib")
-        assert desc.anchor_rel_dirs_windows == ("bin/x64", "bin")
+        assert desc.anchor_rel_dirs_windows.for_arch("x64") == ("bin/x64", "bin")
+        assert desc.anchor_rel_dirs_windows.for_arch("arm64") == ("bin/arm64",)
+
+    @pytest.mark.agent_authored(model="gpt-5")
+    def test_cudla_uses_arm64_only_windows_anchor(self):
+        desc = LIB_DESCRIPTORS["cudla"]
+
+        assert desc.anchor_rel_dirs_windows.for_arch("x64") == ()
+        assert desc.anchor_rel_dirs_windows.for_arch("arm64") == ("bin/arm64",)
+
+    @pytest.mark.agent_authored(model="gpt-5")
+    def test_windows_anchor_dirs_select_arm64(self):
+        desc = _make_desc(
+            anchor_rel_dirs_windows=WindowsSearchDirs(
+                x64=("bin/x64", "bin"),
+                arm64=("bin/arm64", "bin"),
+            )
+        )
+        assert WindowsSearchPlatform(target_arch="arm64").anchor_rel_dirs(desc) == ("bin/arm64", "bin")
+
+    @pytest.mark.agent_authored(model="gpt-5")
+    def test_windows_anchor_dirs_select_x64(self):
+        desc = _make_desc(
+            anchor_rel_dirs_windows=WindowsSearchDirs(
+                x64=("bin/x64", "bin"),
+                arm64=("bin/arm64", "bin"),
+            )
+        )
+        assert WindowsSearchPlatform(target_arch="x64").anchor_rel_dirs(desc) == ("bin/x64", "bin")
 
     def test_find_lib_dir_uses_descriptor_linux(self, tmp_path):
         (tmp_path / "nvvm" / "lib64").mkdir(parents=True)
@@ -413,11 +689,33 @@ def test_find_lib_dir_uses_descriptor_linux(self, tmp_path):
     def test_find_lib_dir_uses_descriptor_windows(self, tmp_path):
         (tmp_path / "nvvm" / "bin").mkdir(parents=True)
 
-        desc = _make_desc(name="nvvm", anchor_rel_dirs_windows=("nvvm/bin/*", "nvvm/bin"))
-        result = _find_lib_dir_using_anchor(desc, WindowsSearchPlatform(), str(tmp_path))
+        desc = _make_desc(
+            name="nvvm",
+            anchor_rel_dirs_windows=WindowsSearchDirs(
+                x64=("nvvm/bin/x64", "nvvm/bin"),
+                arm64=("nvvm/bin/arm64", "nvvm/bin"),
+            ),
+        )
+        result = _find_lib_dir_using_anchor(desc, WindowsSearchPlatform(target_arch="x64"), str(tmp_path))
         assert result is not None
         assert result.endswith(os.path.join("nvvm", "bin"))
 
+    @pytest.mark.agent_authored(model="gpt-5")
+    def test_find_lib_dir_windows_arm64_uses_arm64_anchor(self, tmp_path):
+        (tmp_path / "bin" / "x64").mkdir(parents=True)
+        (tmp_path / "bin" / "arm64").mkdir(parents=True)
+
+        desc = _make_desc(
+            name="cudart",
+            anchor_rel_dirs_windows=WindowsSearchDirs(
+                x64=("bin/x64", "bin"),
+                arm64=("bin/arm64",),
+            ),
+        )
+        result = _find_lib_dir_using_anchor(desc, WindowsSearchPlatform(target_arch="arm64"), str(tmp_path))
+        assert result is not None
+        assert result.endswith(os.path.join("bin", "arm64"))
+
     def test_find_lib_dir_returns_none_when_no_match(self, tmp_path):
         desc = _make_desc(anchor_rel_dirs_linux=("nonexistent",))
         assert _find_lib_dir_using_anchor(desc, LinuxSearchPlatform(), str(tmp_path)) is None
diff --git a/cuda_pathfinder/tests/test_utils_driver_info.py b/cuda_pathfinder/tests/test_utils_driver_info.py
index 21948dadafe..0b3cd61d299 100644
--- a/cuda_pathfinder/tests/test_utils_driver_info.py
+++ b/cuda_pathfinder/tests/test_utils_driver_info.py
@@ -46,7 +46,6 @@ def test_query_driver_cuda_version_uses_windll_on_windows(monkeypatch):
     fake_driver_lib = _FakeDriverLib(status=0, version=12080)
     loaded_paths: list[str] = []
 
-    monkeypatch.setattr(driver_info, "IS_WINDOWS", True)
     monkeypatch.setattr(
         driver_info,
         "_load_nvidia_dynamic_lib",
@@ -57,7 +56,7 @@ def fake_windll(abs_path: str):
         loaded_paths.append(abs_path)
         return fake_driver_lib
 
-    monkeypatch.setattr(driver_info.ctypes, "WinDLL", fake_windll, raising=False)
+    monkeypatch.setattr(driver_info, "_DRIVER_LIB_LOADER", fake_windll)
 
     assert driver_info._query_driver_cuda_version_int() == 12080
     assert loaded_paths == [r"C:\Windows\System32\nvcuda.dll"]
@@ -93,9 +92,8 @@ def fail_query_driver_cuda_version_int() -> int:
 def test_query_driver_cuda_version_int_raises_when_cuda_call_fails(monkeypatch):
     fake_driver_lib = _FakeDriverLib(status=1, version=0)
 
-    monkeypatch.setattr(driver_info, "IS_WINDOWS", False)
     monkeypatch.setattr(driver_info, "_load_nvidia_dynamic_lib", lambda _libname: _loaded_cuda("/usr/lib/libcuda.so.1"))
-    monkeypatch.setattr(driver_info.ctypes, "CDLL", lambda _abs_path: fake_driver_lib)
+    monkeypatch.setattr(driver_info, "_DRIVER_LIB_LOADER", lambda _abs_path: fake_driver_lib)
 
     with pytest.raises(RuntimeError, match=r"cuDriverGetVersion\(\) \(status=1\)"):
         driver_info._query_driver_cuda_version_int()
diff --git a/cuda_pathfinder/tests/test_utils_find_sub_dirs.py b/cuda_pathfinder/tests/test_utils_find_sub_dirs.py
index a647e66099b..7714e898649 100644
--- a/cuda_pathfinder/tests/test_utils_find_sub_dirs.py
+++ b/cuda_pathfinder/tests/test_utils_find_sub_dirs.py
@@ -1,7 +1,7 @@
-# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 
-import os
+from pathlib import Path
 
 import pytest
 
@@ -77,7 +77,7 @@ def test_empty_parent_paths():
 def test_empty_sub_dirs(test_tree):
     parent_paths = test_tree["parent_paths"]
     result = find_sub_dirs(parent_paths, ())
-    expected = [p for p in parent_paths if os.path.isdir(p)]
+    expected = [p for p in parent_paths if Path(p).is_dir()]
     assert sorted(result) == sorted(expected)
 
 
diff --git a/cuda_python/DESCRIPTION.rst b/cuda_python/DESCRIPTION.rst
index 3f0a92b5af6..79fa69584ff 100644
--- a/cuda_python/DESCRIPTION.rst
+++ b/cuda_python/DESCRIPTION.rst
@@ -15,7 +15,7 @@ CUDA Python is the home for accessing NVIDIA's CUDA platform from Python. It con
 * `numba.cuda <https://nvidia.github.io/numba-cuda/>`_: A Python DSL that exposes CUDA **SIMT** programming model and compiles a restricted subset of Python code into CUDA kernels and device functions
 * `cuda.tile <https://docs.nvidia.com/cuda/cutile-python/>`_: A new Python DSL that exposes CUDA **Tile** programming model and allows users to write NumPy-like code in CUDA kernels
 * `nvmath-python <https://docs.nvidia.com/cuda/nvmath-python/latest>`_: Pythonic access to NVIDIA CPU & GPU Math Libraries, with `host <https://docs.nvidia.com/cuda/nvmath-python/latest/overview.html#host-apis>`_, `device <https://docs.nvidia.com/cuda/nvmath-python/latest/overview.html#device-apis>`_, and `distributed <https://docs.nvidia.com/cuda/nvmath-python/latest/distributed-apis/index.html>`_ APIs. It also provides low-level Python bindings to host C APIs (`nvmath.bindings <https://docs.nvidia.com/cuda/nvmath-python/latest/bindings/index.html>`_).
-* `nvshmem4py <https://docs.nvidia.com/nvshmem/api/api/language_bindings/python/index.html>`_: Pythonic interface to the NVSHMEM library, enabling Python applications to leverage NVSHMEM's high-performance PGAS (Partitioned Global Address Space) programming model for GPU-accelerated computing
+* `nvshmem4py <https://docs.nvidia.com/nvshmem/api/latest/api/language_bindings/python/index.html>`_: Pythonic interface to the NVSHMEM library, enabling Python applications to leverage NVSHMEM's high-performance PGAS (Partitioned Global Address Space) programming model for GPU-accelerated computing
 * `Nsight Python <https://docs.nvidia.com/nsight-python/index.html>`_: Python kernel profiling interface that automates performance analysis across multiple kernel configurations using NVIDIA Nsight Tools
 * `CUPTI Python <https://docs.nvidia.com/cupti-python/>`_: Python APIs for creation of profiling tools that target CUDA Python applications via the CUDA Profiling Tools Interface (CUPTI)
 * `Accelerated Computing Hub <https://github.com/NVIDIA/accelerated-computing-hub>`_: Open-source learning materials related to GPU computing. You will find user guides, tutorials, and other works freely available for all learners interested in GPU computing.
diff --git a/cuda_python/docs/environment-docs.yml b/cuda_python/docs/environment-docs.yml
index d6c5dde6c9b..3152f0a3a93 100644
--- a/cuda_python/docs/environment-docs.yml
+++ b/cuda_python/docs/environment-docs.yml
@@ -7,7 +7,7 @@ channels:
 dependencies:
   # ATTENTION: This dependency list is duplicated in
   #            toolshed/setup-docs-env.sh. Please KEEP THEM IN SYNC!
-  - cython
+  - cython >=3.2.5,<3.3
   - myst-parser
   - numpy
   - numpydoc
diff --git a/cuda_python/docs/source/index.rst b/cuda_python/docs/source/index.rst
index 472a9bee90f..199758f0cf8 100644
--- a/cuda_python/docs/source/index.rst
+++ b/cuda_python/docs/source/index.rst
@@ -29,7 +29,7 @@ multiple components:
 .. _device: https://docs.nvidia.com/cuda/nvmath-python/latest/overview.html#device-apis
 .. _distributed: https://docs.nvidia.com/cuda/nvmath-python/latest/distributed-apis/index.html
 .. _nvmath.bindings: https://docs.nvidia.com/cuda/nvmath-python/latest/bindings/index.html
-.. _nvshmem4py: https://docs.nvidia.com/nvshmem/api/api/language_bindings/python/index.html
+.. _nvshmem4py: https://docs.nvidia.com/nvshmem/api/latest/api/language_bindings/python/index.html
 .. _Nsight Python: https://docs.nvidia.com/nsight-python/index.html
 .. _CUPTI Python: https://docs.nvidia.com/cupti-python/
 .. _Accelerated Computing Hub: https://github.com/NVIDIA/accelerated-computing-hub
@@ -55,7 +55,7 @@ be available, please refer to the `cuda.bindings`_ documentation for installatio
    numba.cuda <https://nvidia.github.io/numba-cuda/>
    cuda.tile <https://docs.nvidia.com/cuda/cutile-python/>
    nvmath-python <https://docs.nvidia.com/cuda/nvmath-python/>
-   nvshmem4py <https://docs.nvidia.com/nvshmem/api/api/language_bindings/python/index.html>
+   nvshmem4py <https://docs.nvidia.com/nvshmem/api/latest/api/language_bindings/python/index.html>
    Nsight Python <https://docs.nvidia.com/nsight-python/index.html>
    CUPTI Python <https://docs.nvidia.com/cupti-python/>
    Accelerated Computing Hub <https://github.com/NVIDIA/accelerated-computing-hub>
diff --git a/cuda_python_test_helpers/cuda_python_test_helpers/__init__.py b/cuda_python_test_helpers/cuda_python_test_helpers/__init__.py
index 342c2477ffc..7e1e33a428b 100644
--- a/cuda_python_test_helpers/cuda_python_test_helpers/__init__.py
+++ b/cuda_python_test_helpers/cuda_python_test_helpers/__init__.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 
 import ctypes
@@ -8,6 +8,7 @@
 from contextlib import suppress
 
 __all__ = [
+    "IS_LINUX",
     "IS_WINDOWS",
     "IS_WSL",
     "libc",
@@ -26,6 +27,7 @@ def _detect_wsl() -> bool:
 
 IS_WSL: bool = _detect_wsl()
 IS_WINDOWS: bool = platform.system() == "Windows" or sys.platform.startswith("win")
+IS_LINUX: bool = not IS_WINDOWS and not IS_WSL and platform.system() == "Linux"
 
 if IS_WINDOWS:
     libc = ctypes.CDLL("msvcrt.dll")
@@ -63,3 +65,13 @@ def under_compute_sanitizer() -> bool:
     # Another common indicator: sanitizer injectors are configured via env vars.
     inj = os.environ.get("CUDA_INJECTION64_PATH", "")
     return "compute-sanitizer" in inj or "cuda-memcheck" in inj
+
+
+def driver_version_less_than(target):
+    from cuda.bindings import driver
+
+    (err,) = driver.cuInit(0)
+    assert err == driver.CUresult.CUDA_SUCCESS
+    err, version = driver.cuDriverGetVersion()
+    assert err == driver.CUresult.CUDA_SUCCESS
+    return version < target
diff --git a/conftest.py b/cuda_python_test_helpers/cuda_python_test_helpers/_pytest_plugin.py
similarity index 74%
rename from conftest.py
rename to cuda_python_test_helpers/cuda_python_test_helpers/_pytest_plugin.py
index ea53d79546e..e1da55dcaf0 100644
--- a/conftest.py
+++ b/cuda_python_test_helpers/cuda_python_test_helpers/_pytest_plugin.py
@@ -1,25 +1,18 @@
 # SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 
+"""Pytest plugin registered via the ``pytest11`` entry point.
 
-import os
+Automatically tags collected items with package markers and gates cython
+tests on CUDA header availability.  Loaded by pytest whenever
+``cuda-python-test-helpers`` is installed, and also explicitly via
+``pytest_plugins`` in each subpackage conftest so the fallback sys.path
+install path is covered too.
+"""
 
 import pytest
 
-from cuda.pathfinder import get_cuda_path_or_home
-
-
-# Please keep in sync with the copy in cuda_core/tests/conftest.py.
-def _cuda_headers_available() -> bool:
-    """Return True if CUDA headers are available, False otherwise.
-
-    Returns False if no CUDA path is set or if the CUDA path has no
-    include/ subdirectory (e.g. a sanitizer-only mini-CTK install).
-    """
-    cuda_path = get_cuda_path_or_home()
-    if cuda_path is None:
-        return False
-    return os.path.isdir(os.path.join(cuda_path, "include"))
+from cuda_python_test_helpers.marks import _cuda_headers_available
 
 
 def pytest_collection_modifyitems(config, items):  # noqa: ARG001
diff --git a/cuda_python_test_helpers/cuda_python_test_helpers/arch_check.py b/cuda_python_test_helpers/cuda_python_test_helpers/arch_check.py
new file mode 100644
index 00000000000..2eb0a61ffca
--- /dev/null
+++ b/cuda_python_test_helpers/cuda_python_test_helpers/arch_check.py
@@ -0,0 +1,94 @@
+# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+
+from __future__ import annotations
+
+from contextlib import contextmanager
+from functools import cache
+
+import pytest
+
+
+@cache
+def hardware_supports_nvml():
+    """Try the simplest NVML API to verify basic functionality.
+
+    Returns False on platforms where NVML is unsupported (e.g. Jetson Orin).
+    """
+    from cuda.bindings import nvml
+    from cuda.bindings._internal.utils import FunctionNotFoundError as NvmlSymbolNotFoundError  # noqa: F401
+
+    nvml.init_v2()
+    try:
+        nvml.system_get_driver_branch()
+    except (nvml.NotSupportedError, nvml.UnknownError):
+        return False
+    else:
+        return True
+    finally:
+        nvml.shutdown()
+
+
+def _should_skip_nvml_tests() -> bool:
+    """Return True if NVML tests should be skipped on this system.
+
+    Checks cuda.core's compatibility gate first (if cuda.core is installed),
+    then falls back to a hardware-level NVML probe.
+    """
+    try:
+        from cuda.core import system
+
+        if not system.CUDA_BINDINGS_NVML_IS_COMPATIBLE:
+            return True
+    except ImportError:
+        pass  # cuda.core not installed; skip the compat gate
+    return not hardware_supports_nvml()
+
+
+skip_if_nvml_unsupported = pytest.mark.skipif(
+    _should_skip_nvml_tests(),
+    reason="NVML support requires cuda.bindings version 12.9.6+ for CUDA 12.x or 13.2.0+ for CUDA 13.x, and hardware that supports NVML",
+)
+
+
+@contextmanager
+def unsupported_before(device, expected_device_arch):
+    """Context manager that skips or xfails when an NVML API is not supported on this device.
+
+    ``device`` may be a raw NVML device handle (int) or any object that exposes
+    the handle via a ``._handle`` attribute (e.g. ``cuda.core.system.Device``).
+    """
+    from cuda.bindings import nvml
+    from cuda.bindings._internal.utils import FunctionNotFoundError as NvmlSymbolNotFoundError
+
+    handle = getattr(device, "_handle", device)
+    device_arch = nvml.device_get_architecture(handle)
+
+    if isinstance(expected_device_arch, nvml.DeviceArch):
+        expected_device_arch_int = int(expected_device_arch)
+    elif expected_device_arch == "FERMI":
+        expected_device_arch_int = 1
+    else:
+        expected_device_arch_int = 0
+
+    if expected_device_arch is None or expected_device_arch == "HAS_INFOROM" or device_arch == nvml.DeviceArch.UNKNOWN:
+        # We don't know if it will fail, so we tolerate either outcome.
+        #
+        # TODO: There are APIs that are documented as supported only if the
+        # device has an InfoROM, but I couldn't find a way to detect that.  For
+        # now, they are just handled as "possibly failing".
+        try:
+            yield
+        except (nvml.NotSupportedError, nvml.FunctionNotFoundError, NvmlSymbolNotFoundError):
+            try:
+                name = nvml.DeviceArch(device_arch).name
+            except ValueError:
+                name = f"UNKNOWN({device_arch})"
+            pytest.skip(f"Unsupported call for device architecture {name} on device '{nvml.device_get_name(handle)}'")
+    elif int(device_arch) < expected_device_arch_int:
+        # We know it will fail; assert that it does.
+        with pytest.raises(nvml.NotSupportedError):
+            yield
+        pytest.skip(f"Unsupported before {expected_device_arch.name}, got {nvml.device_get_name(handle)}")
+    else:
+        yield
diff --git a/cuda_core/tests/helpers/marks.py b/cuda_python_test_helpers/cuda_python_test_helpers/marks.py
similarity index 68%
rename from cuda_core/tests/helpers/marks.py
rename to cuda_python_test_helpers/cuda_python_test_helpers/marks.py
index 53fcc544eb7..41e0c04e7e2 100644
--- a/cuda_core/tests/helpers/marks.py
+++ b/cuda_python_test_helpers/cuda_python_test_helpers/marks.py
@@ -1,12 +1,15 @@
 # SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 
-"""Reusable pytest marks for cuda_core tests."""
+"""Reusable pytest marks and skip helpers for CUDA Python test suites."""
 
 import inspect
+import os
 
 import pytest
 
+from cuda.pathfinder import get_cuda_path_or_home
+
 
 def requires_module(module, *args, **kwargs):
     """Skip the test if a module is missing or older than required.
@@ -43,3 +46,21 @@ def test_bar(): ...
         return pytest.mark.skipif(True, reason=str(exc))
     else:
         return pytest.mark.skipif(False, reason="")
+
+
+def _cuda_headers_available() -> bool:
+    """Return True if CUDA headers are available, False otherwise.
+
+    Returns False if no CUDA path is set or if the CUDA path has no
+    include/ subdirectory (e.g. a sanitizer-only mini-CTK install).
+    """
+    cuda_path = get_cuda_path_or_home()
+    if cuda_path is None:
+        return False
+    return os.path.isdir(os.path.join(cuda_path, "include"))
+
+
+skipif_need_cuda_headers = pytest.mark.skipif(
+    not _cuda_headers_available(),
+    reason="need CUDA header",
+)
diff --git a/cuda_bindings/cuda/bindings/_test_helpers/mempool.py b/cuda_python_test_helpers/cuda_python_test_helpers/mempool.py
similarity index 84%
rename from cuda_bindings/cuda/bindings/_test_helpers/mempool.py
rename to cuda_python_test_helpers/cuda_python_test_helpers/mempool.py
index e2a61e48c53..c1fad576da9 100644
--- a/cuda_bindings/cuda/bindings/_test_helpers/mempool.py
+++ b/cuda_python_test_helpers/cuda_python_test_helpers/mempool.py
@@ -5,16 +5,11 @@
 
 import pytest
 
-from cuda.bindings import driver, runtime
 
-
-# Keep in sync with the fallback in cuda_core/tests/conftest.py. The cuda_core
-# copy is intentionally simpler because it only handles cuda_core CUDAError
-# exceptions when this helper is absent from older published bindings.
 def is_windows_mcdm_device(device=0):
     if sys.platform != "win32":
         return False
-    import cuda.bindings.nvml as nvml
+    from cuda.bindings import driver, nvml
 
     device_id = int(getattr(device, "device_id", device))
     (err,) = driver.cuInit(0)
@@ -34,6 +29,8 @@ def is_windows_mcdm_device(device=0):
 
 
 def xfail_if_mempool_oom(err_or_exc, api_name=None, device=0):
+    from cuda.bindings import driver, runtime
+
     if api_name is not None and not isinstance(api_name, str):
         device = api_name
         api_name = None
diff --git a/cuda_bindings/cuda/bindings/_test_helpers/pep723.py b/cuda_python_test_helpers/cuda_python_test_helpers/pep723.py
similarity index 100%
rename from cuda_bindings/cuda/bindings/_test_helpers/pep723.py
rename to cuda_python_test_helpers/cuda_python_test_helpers/pep723.py
diff --git a/cuda_python_test_helpers/pyproject.toml b/cuda_python_test_helpers/pyproject.toml
index 85652b61c50..f20720f6158 100644
--- a/cuda_python_test_helpers/pyproject.toml
+++ b/cuda_python_test_helpers/pyproject.toml
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 
 [build-system]
@@ -12,7 +12,7 @@ description = "Shared test helpers for CUDA Python projects"
 readme = {file = "README.md", content-type = "text/markdown"}
 authors = [{ name = "NVIDIA Corporation" }]
 license = "Apache-2.0"
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 classifiers = [
   "Programming Language :: Python :: 3 :: Only",
   "Operating System :: POSIX :: Linux",
diff --git a/pytest.ini b/pytest.ini
index 148b722aca2..505b4269490 100644
--- a/pytest.ini
+++ b/pytest.ini
@@ -2,7 +2,7 @@
 # SPDX-License-Identifier: Apache-2.0
 
 [pytest]
-addopts = --showlocals
+addopts = --showlocals --durations=20
 norecursedirs =
     cuda_bindings/examples
     cuda_core/examples
diff --git a/toolshed/_catalog_writer.py b/toolshed/_catalog_writer.py
deleted file mode 100644
index b41fb5838dd..00000000000
--- a/toolshed/_catalog_writer.py
+++ /dev/null
@@ -1,182 +0,0 @@
-#!/usr/bin/env python3
-
-# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
-# SPDX-License-Identifier: Apache-2.0
-
-"""Shared helper for reading, updating, and rewriting descriptor_catalog.py.
-
-Each toolshed script that extracts data from CTK distributions or wheel
-layouts uses this module to merge its findings into the authored catalog
-without touching fields it doesn't own.
-"""
-
-from __future__ import annotations
-
-import dataclasses
-import json
-import sys
-from pathlib import Path
-
-# Ensure the cuda_pathfinder package is importable.
-_REPO_ROOT = Path(__file__).resolve().parents[1]
-_PATHFINDER_ROOT = _REPO_ROOT / "cuda_pathfinder"
-if str(_PATHFINDER_ROOT) not in sys.path:
-    sys.path.insert(0, str(_PATHFINDER_ROOT))
-
-from cuda.pathfinder._dynamic_libs.descriptor_catalog import (  # noqa: E402
-    DESCRIPTOR_CATALOG,
-    DescriptorSpec,
-)
-
-CATALOG_PATH = _PATHFINDER_ROOT / "cuda" / "pathfinder" / "_dynamic_libs" / "descriptor_catalog.py"
-
-_DEFAULTS = DescriptorSpec(name="", packaged_with="ctk")
-
-_SECTION_COMMENTS = {
-    "ctk": (
-        "    # -----------------------------------------------------------------------\n"
-        "    # CTK (CUDA Toolkit) libraries\n"
-        "    # -----------------------------------------------------------------------"
-    ),
-    "other": (
-        "    # -----------------------------------------------------------------------\n"
-        "    # Third-party / separately packaged libraries\n"
-        "    # -----------------------------------------------------------------------"
-    ),
-    "driver": (
-        "    # -----------------------------------------------------------------------\n"
-        "    # Driver libraries (system-search only, no CTK cascade)\n"
-        "    # -----------------------------------------------------------------------"
-    ),
-}
-
-
-def _quote(s: str) -> str:
-    return json.dumps(s)
-
-
-def _render_tuple(values: tuple[str, ...]) -> str:
-    if not values:
-        return "()"
-    if len(values) == 1:
-        return f"({_quote(values[0])},)"
-    return "(" + ", ".join(_quote(v) for v in values) + ")"
-
-
-def _render_spec(spec: DescriptorSpec) -> str:
-    """Render a single DescriptorSpec constructor call, omitting default-valued fields."""
-    lines = [
-        "    DescriptorSpec(",
-        f"        name={_quote(spec.name)},",
-        f'        packaged_with="{spec.packaged_with}",',
-    ]
-
-    tuple_fields = [
-        "linux_sonames",
-        "windows_dlls",
-        "site_packages_linux",
-        "site_packages_windows",
-        "dependencies",
-        "anchor_rel_dirs_linux",
-        "anchor_rel_dirs_windows",
-        "ctk_root_canary_anchor_libnames",
-    ]
-    bool_fields = [
-        "requires_add_dll_directory",
-        "requires_rtld_deepbind",
-    ]
-
-    for field in tuple_fields:
-        value = getattr(spec, field)
-        default = getattr(_DEFAULTS, field)
-        if value != default:
-            lines.append(f"        {field}={_render_tuple(value)},")
-
-    for field in bool_fields:
-        value = getattr(spec, field)
-        default = getattr(_DEFAULTS, field)
-        if value != default:
-            lines.append(f"        {field}={value},")
-
-    lines.append("    ),")
-    return "\n".join(lines)
-
-
-def render_catalog(specs: tuple[DescriptorSpec, ...]) -> str:
-    """Render the full descriptor_catalog.py file content."""
-    header = '''\
-# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
-# SPDX-License-Identifier: Apache-2.0
-
-"""Canonical authored descriptor catalog for dynamic libraries."""
-
-from __future__ import annotations
-
-from dataclasses import dataclass
-from typing import Literal
-
-PackagedWith = Literal["ctk", "other", "driver"]
-
-
-@dataclass(frozen=True, slots=True)
-class DescriptorSpec:
-    name: str
-    packaged_with: PackagedWith
-    linux_sonames: tuple[str, ...] = ()
-    windows_dlls: tuple[str, ...] = ()
-    site_packages_linux: tuple[str, ...] = ()
-    site_packages_windows: tuple[str, ...] = ()
-    dependencies: tuple[str, ...] = ()
-    anchor_rel_dirs_linux: tuple[str, ...] = ("lib64", "lib")
-    anchor_rel_dirs_windows: tuple[str, ...] = ("bin/x64", "bin")
-    ctk_root_canary_anchor_libnames: tuple[str, ...] = ()
-    requires_add_dll_directory: bool = False
-    requires_rtld_deepbind: bool = False
-
-
-DESCRIPTOR_CATALOG: tuple[DescriptorSpec, ...] = (
-'''
-
-    body_parts: list[str] = []
-    prev_packaged_with = None
-    for spec in specs:
-        if spec.packaged_with != prev_packaged_with:
-            comment = _SECTION_COMMENTS.get(spec.packaged_with)
-            if comment is not None:
-                body_parts.append(comment)
-            prev_packaged_with = spec.packaged_with
-        body_parts.append(_render_spec(spec))
-
-    footer = ")\n"
-    return header + "\n".join(body_parts) + "\n" + footer
-
-
-def load_catalog() -> tuple[DescriptorSpec, ...]:
-    """Return the current DESCRIPTOR_CATALOG from disk."""
-    return DESCRIPTOR_CATALOG
-
-
-def load_catalog_as_dict() -> dict[str, DescriptorSpec]:
-    """Return the current catalog keyed by name."""
-    return {spec.name: spec for spec in DESCRIPTOR_CATALOG}
-
-
-def update_specs(
-    catalog: tuple[DescriptorSpec, ...],
-    updates: dict[str, dict[str, object]],
-) -> tuple[DescriptorSpec, ...]:
-    """Apply field updates to matching specs by name, preserving order."""
-    result = []
-    for spec in catalog:
-        if spec.name in updates:
-            result.append(dataclasses.replace(spec, **updates[spec.name]))
-        else:
-            result.append(spec)
-    return tuple(result)
-
-
-def write_catalog(specs: tuple[DescriptorSpec, ...], path: Path | None = None) -> None:
-    """Render and write the catalog to disk."""
-    if path is None:
-        path = CATALOG_PATH
-    path.write_text(render_catalog(specs), encoding="utf-8")
diff --git a/toolshed/build_pathfinder_dlls.py b/toolshed/build_pathfinder_dlls.py
deleted file mode 100755
index 63abba52386..00000000000
--- a/toolshed/build_pathfinder_dlls.py
+++ /dev/null
@@ -1,118 +0,0 @@
-#!/usr/bin/env python3
-
-# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
-#
-# SPDX-License-Identifier: Apache-2.0
-
-"""Scan 7z listing files for .dll names, update descriptor_catalog.py.
-
-Usage:
-    # First generate listings from CTK .exe installers:
-    #   for exe in *.exe; do 7z l "$exe" > "${exe%.exe}.txt"; done
-    python toolshed/build_pathfinder_dlls.py listing1.txt [listing2.txt ...]
-"""
-
-from __future__ import annotations
-
-import collections
-import sys
-from pathlib import Path
-
-sys.path.insert(0, str(Path(__file__).resolve().parent))
-from _catalog_writer import load_catalog, update_specs, write_catalog
-
-
-def _is_suppressed_dll(libname: str, dll: str) -> bool:
-    if libname == "cudart":
-        if dll.startswith("cudart32_"):
-            return True
-        if dll == "cudart64_65.dll":
-            # PhysX/files/Common/cudart64_65.dll from CTK 6.5, but shipped with CTK 12.0-12.9
-            return True
-        if dll == "cudart64_101.dll":
-            # GFExperience.NvStreamSrv/amd64/server/cudart64_101.dll from CTK 10.1, but shipped with CTK 12.0-12.6
-            return True
-    elif libname == "nvrtc":
-        if dll.endswith(".alt.dll"):
-            return True
-        if dll.startswith("nvrtc-builtins"):
-            return True
-    elif libname == "nvvm" and dll == "nvvm32.dll":
-        return True
-    return False
-
-
-def _parse_listings(paths: list[str]) -> set[str]:
-    dlls: set[str] = set()
-    for filename in paths:
-        lines_iter = iter(Path(filename).read_text().splitlines())
-        for line in lines_iter:
-            if line.startswith("-------------------"):
-                break
-        else:
-            raise RuntimeError(f"------------------- NOT FOUND in {filename}")
-        for line in lines_iter:
-            if line.startswith("-------------------"):
-                break
-            assert line[52] == " ", line
-            assert line[53] != " ", line
-            path = line[53:]
-            if path.endswith(".dll"):
-                dll = path.rsplit("/", 1)[1]
-                dlls.add(dll)
-        else:
-            raise RuntimeError(f"------------------- NOT FOUND in {filename}")
-    return dlls
-
-
-def run(listing_files: list[str]) -> None:
-    dlls_from_files = _parse_listings(listing_files)
-    catalog = load_catalog()
-
-    # Longest-prefix-first to avoid ambiguous matches (e.g. "cufftw" before "cufft").
-    ctk_names = sorted(
-        (spec.name for spec in catalog if spec.packaged_with == "ctk"),
-        key=lambda n: (-len(n), n),
-    )
-
-    dlls_in_scope: set[str] = set()
-    dlls_by_name: dict[str, list[str]] = collections.defaultdict(list)
-    suppressed: set[str] = set()
-
-    for name in ctk_names:
-        for dll in sorted(dlls_from_files):
-            if dll not in dlls_in_scope and dll.startswith(name):
-                if _is_suppressed_dll(name, dll):
-                    suppressed.add(dll)
-                else:
-                    dlls_by_name[name].append(dll)
-                dlls_in_scope.add(dll)
-
-    updates: dict[str, dict[str, object]] = {}
-    for name, dlls in dlls_by_name.items():
-        updates[name] = {"windows_dlls": tuple(dlls)}
-
-    if updates:
-        write_catalog(update_specs(catalog, updates))
-        for name in sorted(updates):
-            print(f"  updated {name}: windows_dlls={updates[name]['windows_dlls']}")
-    else:
-        print("No matching DLLs found.")
-
-    if suppressed:
-        print(f"\nSuppressed DLLs ({len(suppressed)}):")
-        for dll in sorted(suppressed):
-            print(f"  {dll}")
-
-    out_of_scope = dlls_from_files - dlls_in_scope
-    if out_of_scope:
-        print(f"\nDLLs out of scope ({len(out_of_scope)}):")
-        for dll in sorted(out_of_scope):
-            print(f"  {dll}")
-
-
-if __name__ == "__main__":
-    if len(sys.argv) < 2:
-        print("Usage: build_pathfinder_dlls.py <7z-listing.txt> ...", file=sys.stderr)
-        sys.exit(1)
-    run(listing_files=sys.argv[1:])
diff --git a/toolshed/build_pathfinder_sonames.py b/toolshed/build_pathfinder_sonames.py
deleted file mode 100755
index b3fa6c2efc9..00000000000
--- a/toolshed/build_pathfinder_sonames.py
+++ /dev/null
@@ -1,93 +0,0 @@
-#!/usr/bin/env python3
-
-# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
-#
-# SPDX-License-Identifier: Apache-2.0
-
-"""Scan directories for .so files, extract SONAMEs, update descriptor_catalog.py.
-
-Usage:
-    python toolshed/build_pathfinder_sonames.py /path/to/cuda [/more/paths ...]
-"""
-
-from __future__ import annotations
-
-import os
-import subprocess
-import sys
-from pathlib import Path
-
-sys.path.insert(0, str(Path(__file__).resolve().parent))
-from _catalog_writer import load_catalog, update_specs, write_catalog
-
-
-def _extract_soname(path: str) -> str | None:
-    try:
-        out = subprocess.run(  # noqa: S603
-            ["readelf", "-d", path],  # noqa: S607
-            capture_output=True,
-            text=True,
-            timeout=10,
-        )
-    except (FileNotFoundError, subprocess.TimeoutExpired):
-        return None
-    for line in out.stdout.splitlines():
-        if "SONAME" in line:
-            # Format: 0x000000000000000e (SONAME)  Library soname: [libfoo.so.1]
-            start = line.find("[")
-            end = line.find("]")
-            if start != -1 and end != -1:
-                return line[start + 1 : end]
-    return None
-
-
-def _find_sonames(roots: list[str]) -> set[str]:
-    sonames: set[str] = set()
-    for root in roots:
-        for dirpath, _dirnames, filenames in os.walk(root):
-            for fname in filenames:
-                if ".so" not in fname:
-                    continue
-                full = os.path.join(dirpath, fname)
-                if os.path.islink(full):
-                    continue
-                soname = _extract_soname(full)
-                if soname is not None:
-                    sonames.add(soname)
-    return sonames
-
-
-def run(roots: list[str]) -> None:
-    sonames_found = _find_sonames(roots)
-    catalog = load_catalog()
-
-    updates: dict[str, dict[str, object]] = {}
-    matched: set[str] = set()
-    for spec in catalog:
-        if spec.packaged_with != "ctk":
-            continue
-        prefix = "lib" + spec.name + ".so"
-        found = tuple(sorted(s for s in sonames_found if s.startswith(prefix)))
-        if found:
-            updates[spec.name] = {"linux_sonames": found}
-            matched.update(found)
-
-    if updates:
-        write_catalog(update_specs(catalog, updates))
-        for name, upd in sorted(updates.items()):
-            print(f"  updated {name}: linux_sonames={upd['linux_sonames']}")
-    else:
-        print("No matching sonames found.")
-
-    unmatched = sonames_found - matched
-    if unmatched:
-        print(f"\nSONAMEs not matched to any CTK descriptor ({len(unmatched)}):")
-        for s in sorted(unmatched):
-            print(f"  {s}")
-
-
-if __name__ == "__main__":
-    if len(sys.argv) < 2:
-        print("Usage: build_pathfinder_sonames.py <dir> [<dir> ...]", file=sys.stderr)
-        sys.exit(1)
-    run(roots=sys.argv[1:])
diff --git a/toolshed/check_cython_abi.py b/toolshed/check_cython_abi.py
index 155d9c625f3..b72edf40c5c 100644
--- a/toolshed/check_cython_abi.py
+++ b/toolshed/check_cython_abi.py
@@ -92,6 +92,21 @@ def is_cython_module(module: object) -> bool:
     return hasattr(module, "__pyx_capi__")
 
 
+def iter_public_extension_modules(build_dir: Path):
+    """Yield the extension modules under `build_dir` that are part of the public ABI.
+
+    Private modules (e.g. cuda/bindings/_internal/utils.so) are skipped. Only the
+    path *inside* the package is inspected: directories above it routinely start
+    with an underscore (manylinux installs Python under /opt/_internal, GitHub
+    Actions containers check out under /__w), and those must not make every
+    module look private.
+    """
+    for so_path in Path(build_dir).glob(f"**/*{EXT_SUFFIX}"):
+        if any(part.startswith("_") for part in so_path.relative_to(build_dir).parts):
+            continue
+        yield so_path
+
+
 ######################################################################################
 # STRUCTS
 
@@ -473,7 +488,7 @@ def check(package: str, abi_dir: Path) -> bool:
             print(f"No module found for {abi_path.relative_to(abi_dir)}")
             has_errors = True
 
-    for so_path in Path(build_dir).glob(f"**/*{EXT_SUFFIX}"):
+    for so_path in iter_public_extension_modules(build_dir):
         module = import_from_path(package, build_dir, so_path)
         if hasattr(module, "__pyx_capi__"):
             abi_path = so_path_to_abi_path(so_path, build_dir, abi_dir)
@@ -498,10 +513,7 @@ def generate(package: str, abi_dir: Path) -> bool:
         return True
 
     build_dir = get_package_path(package)
-    for so_path in Path(build_dir).glob(f"**/*{EXT_SUFFIX}"):
-        if any(x.startswith("_") for x in so_path.parts):
-            # Skip private modules (e.g. _driver.so) since they are not part of the public ABI
-            continue
+    for so_path in iter_public_extension_modules(build_dir):
         try:
             module = import_from_path(package, build_dir, so_path)
         except ImportError:
diff --git a/toolshed/collect_site_packages_dll_files.ps1 b/toolshed/collect_site_packages_dll_files.ps1
index f0a6f799242..4efebbf3aab 100644
--- a/toolshed/collect_site_packages_dll_files.ps1
+++ b/toolshed/collect_site_packages_dll_files.ps1
@@ -1,12 +1,11 @@
 # collect_site_packages_dll_files.ps1
 
-# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 
 # Usage:
 #     cd cuda-python
 #     powershell -File toolshed\collect_site_packages_dll_files.ps1
-#     python .\toolshed\make_site_packages_libdirs.py windows site_packages_dll.txt
 
 $ErrorActionPreference = 'Stop'
 
diff --git a/toolshed/collect_site_packages_so_files.sh b/toolshed/collect_site_packages_so_files.sh
index 974f6eeae86..a88652bdfe0 100755
--- a/toolshed/collect_site_packages_so_files.sh
+++ b/toolshed/collect_site_packages_so_files.sh
@@ -1,12 +1,11 @@
 #!/bin/bash
 
-# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 
 # Usage:
 #     cd cuda-python
 #     ./toolshed/collect_site_packages_so_files.sh
-#     ./toolshed/make_site_packages_libdirs.py linux site_packages_so.txt
 
 set -euo pipefail
 fresh_venv() {
diff --git a/toolshed/make_site_packages_libdirs.py b/toolshed/make_site_packages_libdirs.py
deleted file mode 100755
index e1cbcb28825..00000000000
--- a/toolshed/make_site_packages_libdirs.py
+++ /dev/null
@@ -1,123 +0,0 @@
-#!/usr/bin/env python3
-
-# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
-# SPDX-License-Identifier: Apache-2.0
-
-"""Parse collected site-packages library paths, update descriptor_catalog.py.
-
-Usage:
-    python toolshed/make_site_packages_libdirs.py linux collected_linux.txt
-    python toolshed/make_site_packages_libdirs.py windows collected_windows.txt
-"""
-
-from __future__ import annotations
-
-import argparse
-import os
-import re
-import sys
-from pathlib import Path
-from typing import Dict, Set
-
-sys.path.insert(0, str(Path(__file__).resolve().parent))
-from _catalog_writer import load_catalog, update_specs, write_catalog
-
-_SITE_PACKAGES_RE = re.compile(r"(?i)^.*?/site-packages/")
-
-
-def _strip_site_packages_prefix(p: str) -> str:
-    """Remove any leading '.../site-packages/' (handles '\\' or '/', case-insensitive)."""
-    p = p.replace("\\", "/")
-    return _SITE_PACKAGES_RE.sub("", p)
-
-
-def _parse_lines_linux(lines: list[str]) -> Dict[str, Set[str]]:
-    d: Dict[str, Set[str]] = {}
-    for raw in lines:
-        line = raw.strip()
-        if not line or line.startswith("#"):
-            continue
-        line = _strip_site_packages_prefix(line)
-        dirpath, fname = os.path.split(line)
-        # Require something like libNAME.so, libNAME.so.12, libNAME.so.12.1, etc.
-        i = fname.find(".so")
-        if not fname.startswith("lib") or i == -1:
-            continue
-        name = fname[3:i]  # e.g. "libnvrtc" -> "nvrtc"
-        d.setdefault(name, set()).add(dirpath)
-    return d
-
-
-def _extract_libname_from_dll(fname: str) -> str | None:
-    """Return base libname per the heuristic, or None if not a .dll."""
-    base = os.path.basename(fname)
-    if not base.lower().endswith(".dll"):
-        return None
-    stem = base[:-4]  # drop ".dll"
-    out = []
-    for ch in stem:
-        if ch == "_" or ch.isdigit():
-            break
-        out.append(ch)
-    name = "".join(out)
-    return name or None
-
-
-def _parse_lines_windows(lines: list[str]) -> Dict[str, Set[str]]:
-    """Collect {libname: set(dirnames)} with deduped directories."""
-    m: Dict[str, Set[str]] = {}
-    for raw in lines:
-        line = raw.strip()
-        if not line or line.startswith("#"):
-            continue
-        line = _strip_site_packages_prefix(line)
-        dirpath, fname = os.path.split(line)
-        libname = _extract_libname_from_dll(fname)
-        if not libname:
-            continue
-        m.setdefault(libname, set()).add(dirpath)
-    return m
-
-
-def main() -> None:
-    ap = argparse.ArgumentParser(
-        description="Update site_packages_* in descriptor_catalog.py from collected library paths"
-    )
-    ap.add_argument("platform", choices=["linux", "windows"])
-    ap.add_argument("path", help="Text file with one library path per line")
-    args = ap.parse_args()
-
-    with open(args.path, encoding="utf-8") as f:
-        lines = f.read().splitlines()
-
-    if args.platform == "linux":
-        parsed = _parse_lines_linux(lines)
-        field = "site_packages_linux"
-    else:
-        parsed = _parse_lines_windows(lines)
-        field = "site_packages_windows"
-
-    catalog = load_catalog()
-    catalog_names = {spec.name for spec in catalog}
-
-    updates: dict[str, dict[str, object]] = {}
-    for name, dirs in parsed.items():
-        if name in catalog_names:
-            updates[name] = {field: tuple(sorted(dirs))}
-
-    if updates:
-        write_catalog(update_specs(catalog, updates))
-        for name in sorted(updates):
-            print(f"  updated {name}: {field}={updates[name][field]}")
-    else:
-        print("No matching libraries found.")
-
-    unmatched = set(parsed.keys()) - catalog_names
-    if unmatched:
-        print(f"\nLibraries not in catalog ({len(unmatched)}):")
-        for name in sorted(unmatched):
-            print(f"  {name}")
-
-
-if __name__ == "__main__":
-    main()
diff --git a/toolshed/run_stubgen_pyx.py b/toolshed/run_stubgen_pyx.py
new file mode 100644
index 00000000000..1a163ff0778
--- /dev/null
+++ b/toolshed/run_stubgen_pyx.py
@@ -0,0 +1,54 @@
+# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+
+"""Run stubgen-pyx for cuda_core and normalize the generated stub headers.
+
+stubgen-pyx emits a path using the OS path separator in the first-line comment
+(e.g. "# This file was generated by stubgen-pyx from cuda_core\\cuda\\...").
+This wrapper rewrites that separator to "/" so committed stubs are identical
+across platforms. Line-ending normalization is handled by .gitattributes.
+
+This also forces stubgen-pyx to write files with UTF-8 encoding, which is not
+the default on Windows.
+
+This wrapper can be removed once these stubgen-pyx issues are resolved:
+    https://github.com/jon-edward/stubgen-pyx/issues/41
+    https://github.com/jon-edward/stubgen-pyx/issues/42
+"""
+
+from __future__ import annotations
+
+import os
+import pathlib
+import subprocess
+import sys
+
+_HEADER_PREFIX = b"# This file was generated by stubgen-pyx"
+
+
+def _normalize_stub_headers(root: pathlib.Path) -> None:
+    for stub in root.rglob("*.pyi"):
+        data = stub.read_bytes()
+        newline = data.find(b"\n")
+        first_line = data[:newline] if newline != -1 else data
+        if not first_line.startswith(_HEADER_PREFIX) or b"\\" not in first_line:
+            continue
+        stub.write_bytes(first_line.replace(b"\\", b"/") + data[newline:])
+
+
+def main() -> int:
+    env = os.environ.copy()
+    env.setdefault("PYTHONUTF8", "1")
+    env.setdefault("PYTHONIOENCODING", "utf-8")
+    result = subprocess.run(
+        ["stubgen-pyx", "cuda_core/cuda", "--continue-on-error", "--include-private"],  # noqa: S607
+        env=env,
+    )
+    if result.returncode != 0:
+        return result.returncode
+    _normalize_stub_headers(pathlib.Path("cuda_core/cuda"))
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())
diff --git a/toolshed/setup-docs-env.sh b/toolshed/setup-docs-env.sh
index 16378725e93..9acbaa8e391 100755
--- a/toolshed/setup-docs-env.sh
+++ b/toolshed/setup-docs-env.sh
@@ -1,6 +1,6 @@
 #!/usr/bin/env bash
 
-# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 
 # Setup a local conda environment for building the sphinx docs to mirror the CI environment
@@ -39,7 +39,7 @@ echo "Creating environment '${ENV_NAME}'…"
 #            cuda_python/docs/environment-docs.yml. Please KEEP THEM IN SYNC!
 conda create -y -n "${ENV_NAME}" \
     "python=${PYVER}" \
-    cython \
+    "cython>=3.2.5,<3.3" \
     myst-parser \
     numpy \
     numpydoc \
diff --git a/toolshed/update_catalog.py b/toolshed/update_catalog.py
deleted file mode 100644
index 800451ca45d..00000000000
--- a/toolshed/update_catalog.py
+++ /dev/null
@@ -1,47 +0,0 @@
-#!/usr/bin/env python3
-
-# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
-#
-# SPDX-License-Identifier: Apache-2.0
-
-"""Update descriptor_catalog.py from CTK installations.
-
-On Linux, scans directories for .so files and extracts SONAMEs via readelf.
-On Windows, parses 7z listing files generated from CTK .exe installers.
-
-Usage:
-    # Linux — pass one or more CTK lib directories:
-    python toolshed/update_catalog.py /path/to/ctk12/lib64 /path/to/ctk13/lib64
-
-    # Windows — pass 7z listing .txt files:
-    #   for exe in *.exe; do 7z l "$exe" > "${exe%.exe}.txt"; done
-    python toolshed/update_catalog.py listing12.txt listing13.txt
-"""
-
-from __future__ import annotations
-
-import sys
-from pathlib import Path
-
-sys.path.insert(0, str(Path(__file__).resolve().parent))
-
-
-def main() -> None:
-    if len(sys.argv) < 2:
-        print(__doc__, file=sys.stderr)
-        sys.exit(1)
-
-    args = sys.argv[1:]
-
-    if sys.platform == "win32":
-        from build_pathfinder_dlls import run as run_dlls
-
-        run_dlls(listing_files=args)
-    else:
-        from build_pathfinder_sonames import run as run_sonames
-
-        run_sonames(roots=args)
-
-
-if __name__ == "__main__":
-    main()