diff --git a/.github/workflows/mypy.yml b/.github/workflows/mypy.yml
index 54c9171..f7c15b1 100644
--- a/.github/workflows/mypy.yml
+++ b/.github/workflows/mypy.yml
@@ -9,7 +9,7 @@ on:
       - "pytensor_ml/**"
       - "scripts/run_mypy.py"
       - "pyproject.toml"
-      - "conda_envs/**"
+      - "pixi.lock"
 
 # Cancels all previous workflow runs for pull requests that have not completed.
 concurrency:
@@ -20,38 +20,15 @@ jobs:
   mypy:
     runs-on: ubuntu-latest
 
-    defaults:
-      run:
-        shell: bash -l {0}
-
     steps:
     - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
-    - uses: actions/cache@55cc8345863c7cc4c66a329aec7e433d2d1c52a9 # v6.1.0
-      env:
-        CACHE_NUMBER: 0
-      with:
-        path: ~/conda_pkgs_dir
-        key: ${{ runner.os }}-py312-conda-${{ env.CACHE_NUMBER }}-${{
-          hashFiles('conda_envs/pytensor_ml.yml') }}
-    - uses: conda-incubator/setup-miniconda@8ee1f361103df19b6f8c8655fd3967a8ecb162d5 # v4.0.1
+    - uses: prefix-dev/setup-pixi@9dabb60412d3d2d967a8d682f7ce01317af40514 # v0.11.0
       with:
-        miniforge-variant: Miniforge3
-        miniforge-version: latest
-        mamba-version: "*"
-        activate-environment: pytensor_ml
-        channel-priority: strict
-        environment-file: conda_envs/pytensor_ml.yml
-        python-version: 3.12
-        use-mamba: true
-        use-only-tar-bz2: false
-
-    - name: Install current branch
-      run: |
-        conda activate pytensor_ml
-        pip install -e .
-        python --version
+        pixi-version: v0.81.0
+        environments: mypy
+        activate-environment: true
+        locked: true
+        cache: true
 
     - name: Run mypy
-      run: |
-        conda activate pytensor_ml
-        python ./scripts/run_mypy.py
+      run: python ./scripts/run_mypy.py
diff --git a/.github/workflows/pre-commit.yml b/.github/workflows/pre-commit.yml
index 8a2c9e9..600f881 100644
--- a/.github/workflows/pre-commit.yml
+++ b/.github/workflows/pre-commit.yml
@@ -13,4 +13,9 @@ jobs:
     steps:
     - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
     - uses: actions/setup-python@5fda3b95a4ea91299a34e894583c3862153e4b97 # v7.0.0
+    # The pixi hooks call pixi directly and need no environment installed.
+    - uses: prefix-dev/setup-pixi@9dabb60412d3d2d967a8d682f7ce01317af40514 # v0.11.0
+      with:
+        pixi-version: v0.81.0
+        run-install: false
     - uses: pre-commit/action@2c7b3805fd2a0fd8c1884dcaebf91fc102a13ecd # v3.0.1
diff --git a/.github/workflows/run_tests.yml b/.github/workflows/run_tests.yml
index 115b9b8..13c994f 100644
--- a/.github/workflows/run_tests.yml
+++ b/.github/workflows/run_tests.yml
@@ -14,17 +14,14 @@ concurrency:
 
 jobs:
   unittest:
-    name: unittest (${{ matrix.os }}, ${{ matrix.python-version }}, ${{ matrix.test-subset.name }})
+    name: unittest (${{ matrix.os }}, ${{ matrix.test-subset.name }})
     strategy:
       fail-fast: false
       matrix:
         os: [ubuntu-latest]
-        python-version: ["3.12"]
-        # Off by default, flipped to 1 by the per-backend jobs under `include`. A core job installs no
-        # backend at all, which is what proves the library runs without one.
-        install-jax: [0]
-        install-mlx: [0]
-        install-torch: [0]
+        # The per-backend jobs under `include` swap in an environment carrying their one backend. A core
+        # job's environment has no backend at all, which is what proves the library runs without one.
+        pixi-environment: [test]
         # Groups are balanced on measured cold-compile-cache time, which is what a fresh runner pays.
         # tests/test_workflow_groups.py fails if a test file is missing from every group or listed twice.
         test-subset:
@@ -72,25 +69,22 @@ jobs:
         # `test-subset` because a matrix entry cannot change `os`, and mlx needs macOS.
         include:
           - os: ubuntu-latest
-            python-version: "3.12"
-            install-jax: 1
+            pixi-environment: test-jax
             test-subset:
               name: dispatch-jax
               paths: tests/dispatch/jax/
           - os: macos-15
-            python-version: "3.12"
-            install-mlx: 1
+            pixi-environment: test-mlx
             test-subset:
               name: dispatch-mlx
               paths: tests/dispatch/mlx/
           - os: ubuntu-latest
-            python-version: "3.12"
-            install-torch: 1
+            pixi-environment: test-torch
             test-subset:
               name: dispatch-torch
               paths: tests/dispatch/pytorch/
           - os: windows-latest
-            python-version: "3.12"
+            pixi-environment: test
             test-subset:
               name: smoke
               paths: |
@@ -103,73 +97,28 @@ jobs:
     env:
       TEST_SUBSET: ${{ matrix.test-subset.paths }}
 
-    defaults:
-      run:
-        shell: bash -l {0}
-
     steps:
     - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
-    - uses: actions/cache@55cc8345863c7cc4c66a329aec7e433d2d1c52a9 # v6.1.0
-      env:
-        CACHE_NUMBER: 0
-      with:
-        path: ~/conda_pkgs_dir
-        key: ${{ runner.os }}-py${{matrix.python-version}}-conda-${{ env.CACHE_NUMBER }}-${{
-          hashFiles('conda_envs/pytensor_ml.yml') }}
-    - name: Cache multiple paths
-      uses: actions/cache@55cc8345863c7cc4c66a329aec7e433d2d1c52a9 # v6.1.0
-      env:
-        # Increase this value to reset cache if pyproject.toml has not changed
-        CACHE_NUMBER: 0
+    - uses: prefix-dev/setup-pixi@9dabb60412d3d2d967a8d682f7ce01317af40514 # v0.11.0
       with:
-        path: |
-          ~/.cache/pip
-          $RUNNER_TOOL_CACHE/Python/*
-          ~\AppData\Local\pip\Cache
-        key: ${{ runner.os }}-build-${{ matrix.python-version }}-${{ env.CACHE_NUMBER }}-${{
-          hashFiles('pyproject.toml') }}
+        pixi-version: v0.81.0
+        environments: ${{ matrix.pixi-environment }}
+        activate-environment: true
+        locked: true
+        cache: true
     - name: Cache the pytensor compile directory
       uses: actions/cache@55cc8345863c7cc4c66a329aec7e433d2d1c52a9 # v6.1.0
       env:
         CACHE_NUMBER: 0
       with:
         path: ~/.pytensor
-        key: ${{ runner.os }}-py${{ matrix.python-version }}-pytensor-${{ env.CACHE_NUMBER }}-${{
-          matrix.test-subset.name }}-${{ hashFiles('conda_envs/pytensor_ml.yml') }}
+        key: ${{ runner.os }}-pytensor-${{ env.CACHE_NUMBER }}-${{
+          matrix.test-subset.name }}-${{ hashFiles('pixi.lock') }}
         restore-keys: |
-          ${{ runner.os }}-py${{ matrix.python-version }}-pytensor-${{ env.CACHE_NUMBER }}-${{ matrix.test-subset.name }}-
-    - uses: conda-incubator/setup-miniconda@8ee1f361103df19b6f8c8655fd3967a8ecb162d5 # v4.0.1
-      with:
-        miniforge-variant: Miniforge3
-        miniforge-version: latest
-        mamba-version: "*"
-        activate-environment: pytensor_ml
-        channel-priority: strict
-        environment-file: conda_envs/pytensor_ml.yml
-        python-version: 3.12
-        use-mamba: true
-
-        # IMPORTANT: This may break caching of conda packages! See https://github.com/conda-incubator/setup-miniconda/issues/267
-        use-only-tar-bz2: false
-
-    - name: Install the backend this job tests
-      run: |
-        conda activate pytensor_ml
-        if [[ $INSTALL_JAX == "1" ]]; then pip install "jax>=0.8,<0.9.1" jaxlib; fi
-        if [[ $INSTALL_MLX == "1" ]]; then pip install "mlx>=0.32.2,<0.33"; fi
-        if [[ $INSTALL_TORCH == "1" ]]; then pip install torch --index-url https://download.pytorch.org/whl/cpu; fi
-      env:
-        INSTALL_JAX: ${{ matrix.install-jax }}
-        INSTALL_MLX: ${{ matrix.install-mlx }}
-        INSTALL_TORCH: ${{ matrix.install-torch }}
-
-    - name: Install current branch
-      run: |
-        conda activate pytensor_ml
-        pip install -e .
-        python --version
+          ${{ runner.os }}-pytensor-${{ env.CACHE_NUMBER }}-${{ matrix.test-subset.name }}-
 
     - name: Run tests
+      shell: bash
       run: |
         python -m pytest -vv --durations=25 --cov=pytensor_ml --cov-report=xml --no-cov-on-fail --cov-report term $TEST_SUBSET
     - name: Upload coverage to Codecov
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 41bc9c8..1676023 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -32,6 +32,31 @@ repos:
 
 - repo: local
   hooks:
+    - id: pixi-lock-check
+      name: pixi.lock is in sync with pyproject.toml
+      entry: pixi lock --check
+      language: system
+      files: ^(pyproject\.toml|pixi\.lock)$
+      pass_filenames: false
+
+    - id: pixi-export-dev
+      name: conda_envs/pytensor_ml.yml is exported from the pixi dev environment
+      # Called directly rather than through a pixi task so the hook reads the manifest only; `pixi run`
+      # would re-solve the lock file and install the environment first. --no-pypi drops the editable
+      # install, because conda runs pip from the env file's directory, where `-e .` names conda_envs/.
+      # -p pins the export to one platform, so it does not depend on the machine running the hook.
+      entry: pixi workspace export conda-environment -e dev -n pytensor_ml -p linux-64 --no-pypi conda_envs/pytensor_ml.yml
+      language: system
+      files: ^(pyproject\.toml|pixi\.lock|conda_envs/pytensor_ml\.yml)$
+      pass_filenames: false
+
+    - id: pixi-export-docs
+      name: conda_envs/environment-docs.yml is exported from the pixi docs environment
+      entry: pixi workspace export conda-environment -e docs -n pytensor_ml-docs -p linux-64 --no-pypi conda_envs/environment-docs.yml
+      language: system
+      files: ^(pyproject\.toml|pixi\.lock|conda_envs/environment-docs\.yml)$
+      pass_filenames: false
+
     - id: notebook_name
       entry: '\(notebook_name\)='
       language: pygrep
diff --git a/conda_envs/environment-docs.yml b/conda_envs/environment-docs.yml
index a6b7516..3554d89 100644
--- a/conda_envs/environment-docs.yml
+++ b/conda_envs/environment-docs.yml
@@ -1,35 +1,24 @@
-# The environment Read the Docs builds from. `pixi run docs-build` uses the equivalent list under
-# [tool.pixi.feature.docs] in pyproject.toml; the two have to move together.
 name: pytensor_ml-docs
 channels:
-  - conda-forge
-  - nodefaults
-
+- conda-forge
+- nodefaults
 dependencies:
-  - python>=3.12
-  # Runtime deps: autodoc imports pytensor_ml, so the full runtime stack has to be in scope.
-  - pytensor>=3.3.3,<3.4.0
-  - numpy
-  - safetensors
-  # The gallery extension renders notebook thumbnails with matplotlib.
-  - matplotlib
-
-  # Docs build deps.
-  - ipython
-  - jupyter
-  - sphinx>=7
-  - pydata-sphinx-theme
-  - myst-nb
-  - numpydoc
-  - sphinx-copybutton
-  - sphinx-design
-  - sphinx-codeautolink
-  - sphinx-sitemap
-  - sphinx-notfound-page
-  - sphinx-autobuild
-  - jupyter-sphinx
-  - sphinxcontrib-bibtex
-  - pip
-  - pip:
-      # pytensor_ml itself so autodoc resolves the current source tree.
-      - -e ..
+- safetensors *
+- matplotlib *
+- ipython *
+- jupyter *
+- sphinx >=7
+- pydata-sphinx-theme *
+- myst-nb *
+- numpydoc *
+- sphinx-copybutton *
+- sphinx-design *
+- sphinx-codeautolink *
+- sphinx-sitemap *
+- sphinx-notfound-page *
+- sphinx-autobuild *
+- jupyter-sphinx *
+- sphinxcontrib-bibtex *
+- pytensor >=3.3.3,<3.4.0
+- numpy *
+- python >=3.12
diff --git a/conda_envs/pytensor_ml-gpu_jax.yml b/conda_envs/pytensor_ml-gpu_jax.yml
index 5ed9891..28a0400 100644
--- a/conda_envs/pytensor_ml-gpu_jax.yml
+++ b/conda_envs/pytensor_ml-gpu_jax.yml
@@ -1,42 +1,22 @@
-name: pytensor_ml
+name: pytensor_ml-gpu_jax
 channels:
-  - conda-forge
-  - nvidia
-  - nodefaults
-
+- conda-forge
+- nodefaults
 dependencies:
-  - python>=3.12
-  - pytensor>=3.3.3,<4.0.0
-  - numpy
-  - scikit-learn
-
-  # GPU Stuff
-  - jax
-  - numpyro
-  - blackjax
-  - jaxlib=*=*cuda*
-  - cuda-nvcc
-
-  # For testing
-  - coveralls
-  - diff-cover
-  - pytest
-  - pytest-cov
-  - pytest-xdist
-  - pytest-benchmark
-  - pytest-mock
-
-  # For building docs
-  - sphinx
-  - sphinx_rtd_theme
-  - pygments
-  - pydot
-  - ipython
-
-  # code style
-  - ruff
-
-  # developer tools
-  - pre-commit
-  - packaging
-  - typing_extensions
+- safetensors *
+- scikit-learn *
+- cloudpickle *
+- pytest *
+- pytest-cov *
+- pytest-xdist *
+- pytest-benchmark *
+- pytest-mock *
+- pyyaml *
+- mypy >=2.4.0,<2.5.0
+- pre-commit *
+- jax >=0.12,<0.13
+- jaxlib >=0.12,<0.13 cuda*
+- cuda-nvcc *
+- pytensor >=3.3.3,<3.4.0
+- numpy *
+- python >=3.12
diff --git a/conda_envs/pytensor_ml-gpu_metal.yml b/conda_envs/pytensor_ml-gpu_metal.yml
new file mode 100644
index 0000000..945141d
--- /dev/null
+++ b/conda_envs/pytensor_ml-gpu_metal.yml
@@ -0,0 +1,20 @@
+name: pytensor_ml-gpu_metal
+channels:
+- conda-forge
+- nodefaults
+dependencies:
+- safetensors *
+- scikit-learn *
+- cloudpickle *
+- pytest *
+- pytest-cov *
+- pytest-xdist *
+- pytest-benchmark *
+- pytest-mock *
+- pyyaml *
+- mypy >=2.4.0,<2.5.0
+- pre-commit *
+- mlx >=0.32.4,<0.33
+- pytensor >=3.3.3,<3.4.0
+- numpy *
+- python >=3.12
diff --git a/conda_envs/pytensor_ml.yml b/conda_envs/pytensor_ml.yml
index e8924c7..1549e9a 100644
--- a/conda_envs/pytensor_ml.yml
+++ b/conda_envs/pytensor_ml.yml
@@ -1,32 +1,19 @@
 name: pytensor_ml
 channels:
-  - conda-forge
-  - nodefaults
-
+- conda-forge
+- nodefaults
 dependencies:
-  - python>=3.12
-  - pytensor>=3.3.3,<3.4.0
-  - numpy
-  - safetensors
-  - scikit-learn
-
-  # For testing
-  - cloudpickle  # tests/optim/test_composition.py ships a configured rule to a worker
-  - coveralls
-  - diff-cover
-  - pytest
-  - pytest-cov
-  - pytest-xdist
-  - pytest-benchmark
-  - pytest-mock
-  - pyyaml  # tests/test_workflow_groups.py reads the CI matrix
-
-  # developer tools
-  - pre-commit
-  # Pinned rather than floated: a local run that disagrees with CI about the version is a local run
-  # that cannot predict CI, and both of these have shipped errors the other version does not report.
-  - mypy>=2.3.1,<2.4.0
-
-  # No backend goes here. Each backend's dispatch tests get their own CI job that installs just that
-  # one, so the core jobs stay light and prove the library works with no backend present at all.
-  - pip
+- safetensors *
+- scikit-learn *
+- cloudpickle *
+- pytest *
+- pytest-cov *
+- pytest-xdist *
+- pytest-benchmark *
+- pytest-mock *
+- pyyaml *
+- mypy >=2.4.0,<2.5.0
+- pre-commit *
+- pytensor >=3.3.3,<3.4.0
+- numpy *
+- python >=3.12
diff --git a/docs/source/dev/contributing.rst b/docs/source/dev/contributing.rst
index 5b20901..00433ff 100644
--- a/docs/source/dev/contributing.rst
+++ b/docs/source/dev/contributing.rst
@@ -18,13 +18,23 @@ Setting up
     pip install -e ".[dev]"
     pre-commit install
 
-The conda environments under ``conda_envs/`` are what CI installs, pinned
-harder than the package metadata. Reach for one when a failure reproduces in CI
-but not locally:
+CI installs the pixi environments locked in ``pixi.lock``, pinned harder than
+the package metadata. Reach for one when a failure reproduces in CI but not
+locally:
+
+.. code-block:: bash
+
+    pixi run -e test pytest             # the core jobs; test-jax, test-mlx, test-torch for a backend
+    pixi run -e mypy python scripts/run_mypy.py
+
+``conda_envs/pytensor_ml.yml`` is exported from the pixi ``dev`` environment by a
+pre-commit hook, for setting up with conda instead:
 
 .. code-block:: bash
 
     conda env create -f conda_envs/pytensor_ml.yml
+    conda activate pytensor_ml
+    pip install -e .
 
 Docs are built with pixi, which owns its own environment:
 
diff --git a/pixi.lock b/pixi.lock
index d2734aa..ea89b3f 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -1,100 +1,564 @@
 version: 7
 platforms:
 - name: linux-64
+  virtual-packages:
+  - __unix=0=0
+  - __linux=4.18
+  - __glibc=2.28
+  - __archspec=0=x86_64
+- name: linux-64-cuda
+  subdir: linux-64
+  virtual-packages:
+  - __cuda=12.9
+  - __unix=0=0
+  - __linux=4.18
+  - __glibc=2.28
+  - __archspec=0=x86_64
 - name: osx-arm64
+  virtual-packages:
+  - __unix=0=0
+  - __osx=13.0
+  - __archspec=0=m1
+- name: osx-arm64-mlx
+  subdir: osx-arm64
+  virtual-packages:
+  - __osx=14.5
+  - __unix=0=0
+  - __archspec=0=m1
 - name: win-64
+  virtual-packages:
+  - __win=10.0
+  - __archspec=0=x86_64
 environments:
   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
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-8_kmp_llvm.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/blas-2.311-mkl.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/blas-devel-3.11.0-11_hcf00494_mkl.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-py310h44b86e0_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/conda-gcc-specs-16.2.0-hf8037ed_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gcc-16.2.0-hc6a0c74_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gcc_impl_linux-64-16.2.0-h9891192_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gxx-16.2.0-hc6a0c74_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gxx_impl_linux-64-16.2.0-h0d273dc_7.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/libblas-3.11.0-11_h5875eb1_mkl.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.11.0-11_hfef963f_mkl.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.8.5-hd2095e1_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libffi-3.7.0-h3435931_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-16.2.0-ha9f2e26_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-16.2.0-h69a702a_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-16.2.0-h6b99dfc_7.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-16.2.0-he0feb66_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libhwloc-2.15.0-default_hd7c4d0c_1001.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.18-h0cb94f2_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.11.0-11_h5e43f62_mkl.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/liblapacke-3.11.0-11_hdba1596_mkl.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.3-hb03c661_1.conda
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+  - libabseil-static =20260526.0=cxx17*
+  license: Apache-2.0
+  license_family: Apache
+  purls: []
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+    - libabseil =*=cxx17*
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+  md5: 8db4ae3941966215baa885eb004aded5
+  depends:
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+  constrains:
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+  - libcblas   3.11.0   11*_mkl
+  - liblapack  3.11.0   11*_mkl
+  - liblapacke 3.11.0   11*_mkl
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+  - blas_mkl_2
+  license: BSD-3-Clause
+  license_family: BSD
+  purls: []
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   build_number: 9
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@@ -1623,6 +4166,26 @@ packages:
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   size: 298639
   timestamp: 1786622792145
+- conda: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.11.0-11_hfef963f_mkl.conda
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+  md5: 5100a1707606a71eebcb00ace3b23339
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+  constrains:
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+  - liblapack  3.11.0   11*_mkl
+  - liblapacke 3.11.0   11*_mkl
+  track_features:
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+  license: BSD-3-Clause
+  license_family: BSD
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.11.0-9_hfef963f_mkl.conda
   build_number: 9
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   - libzlib >=1.3.2,<2.0a0
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+  - libxml2
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   license: Apache-2.0 WITH LLVM-exception
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-  timestamp: 1787349870338
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+  license: LicenseRef-cuDNN-Software-License-Agreement
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+  license: LicenseRef-cuDNN-Software-License-Agreement
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+  - libgcc >=14
+  - libstdcxx >=14
+  constrains:
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+  license: LicenseRef-NVIDIA-End-User-License-Agreement
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   timestamp: 1770902209173
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+  license: LicenseRef-NVIDIA-End-User-License-Agreement
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+  - libgcc >=14
+  - libnvjitlink >=12.9.86,<13.0a0
+  - libstdcxx >=14
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+  license: LicenseRef-NVIDIA-End-User-License-Agreement
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-  - libgcc >=14
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+  - expat 2.8.5.*
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   license_family: MIT
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+  - libgcc >=16.2.0
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+  license_family: GPL
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   timestamp: 1787618616266
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+  - libstdcxx >=15
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+  - openssl >=3.5.8,<4.0a0
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+  license: Apache-2.0
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   size: 2436378
   timestamp: 1770953868164
+- conda: https://conda.anaconda.org/conda-forge/linux-64/libhwloc-2.15.0-default_hd7c4d0c_1001.conda
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   timestamp: 1785896381946
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+  - liblapacke 3.11.0   11*_mkl
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.11.0-9_h5e43f62_mkl.conda
   build_number: 9
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@@ -2056,6 +4949,26 @@ packages:
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   size: 18128
   timestamp: 1786059007914
+- conda: https://conda.anaconda.org/conda-forge/linux-64/liblapacke-3.11.0-11_hdba1596_mkl.conda
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+  license: BSD-3-Clause
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/liblapacke-3.11.0-9_hdba1596_mkl.conda
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   license: Apache-2.0 WITH LLVM-exception
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+  license: LicenseRef-NVIDIA-End-User-License-Agreement
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   timestamp: 1786641133110
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   timestamp: 1784850267262
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   timestamp: 1787618720100
+- conda: https://conda.anaconda.org/conda-forge/linux-64/libsanitizer-16.2.0-h3048135_7.conda
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+  license_family: GPL
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-  timestamp: 1787051145557
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   timestamp: 1787618704262
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+  license: GPL-3.0-only WITH GCC-exception-3.1
+  license_family: GPL
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   - python_abi 3.14.* *_cp314
   - tornado >=5
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   - lcms2 >=2.19.1,<3.0a0
   - tk >=8.6.13,<8.7.0a0
+  - python_abi 3.14.* *_cp314
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+  - libstdcxx >=15
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+  constrains:
+  - cctools 1030.6.3.*
+  - cctools_osx-arm64 1030.6.3.*
+  license: APSL-2.0
+  license_family: Other
+  purls: []
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 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ld64_osx-arm64-956.6-llvm22_1_h692d5aa_5.conda
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   run_exports: {}
   size: 1038789
   timestamp: 1785270893798
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/ld64_osx-arm64-956.6-llvm23_1_hc8058f9_6.conda
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+  - libllvm23 >=23.1.0,<23.2.0a0
+  - sigtool-codesign
+  - tapi >=1600.0.11.8,<1601.0a0
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+  - cctools_impl_osx-arm64 1030.6.3.*
+  - clang 23.1.*
+  - ld64 956.6.*
+  license: APSL-2.0
+  license_family: Other
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 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/lerc-4.2.0-h1eee2c3_0.conda
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   timestamp: 1785036480092
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+  - libabseil-static =20260526.0=cxx17*
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+  license_family: Apache
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+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/libblas-3.11.0-11_h09c003b_accelerate.conda
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+  - libcblas   3.11.0   11*_accelerate
+  - liblapack  3.11.0   11*_accelerate
+  - liblapacke 3.11.0   11*_accelerate
+  - mkl <2027
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+  - blas_accelerate_2
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 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libblas-3.11.0-9_h3d1d584_accelerate.conda
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@@ -7002,6 +11754,26 @@ packages:
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   size: 295650
   timestamp: 1786622868044
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/libcblas-3.11.0-11_h752f6bc_accelerate.conda
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+  md5: 6e879a38b6d79b97a800167bc4dfcb9a
+  depends:
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+  constrains:
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+  - liblapack  3.11.0   11*_accelerate
+  - liblapacke 3.11.0   11*_accelerate
+  track_features:
+  - blas_accelerate
+  license: BSD-3-Clause
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 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libcblas-3.11.0-9_h752f6bc_accelerate.conda
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   size: 15941619
   timestamp: 1787349779831
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/libclang-cpp23.1-23.1.4-default_h8bbc02d_0.conda
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+  - libxml2
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+  - libllvm23 >=23.1.4,<23.2.0a0
+  license: Apache-2.0 WITH LLVM-exception
+  license_family: APACHE
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 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libclang13-22.1.8-default_h54a73ef_9.conda
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@@ -7061,6 +11852,26 @@ packages:
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   size: 9988216
   timestamp: 1787349779831
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/libclang13-23.1.4-default_h63627a2_0.conda
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+  - libzlib >=1.3.2,<2.0a0
+  - libxml2
+  - libxml2-16 >=2.15.4
+  - libllvm23 >=23.1.4,<23.2.0a0
+  license: Apache-2.0 WITH LLVM-exception
+  license_family: APACHE
+  purls: []
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 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libcompiler-rt-22.1.8-hdb3d66b_2.conda
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@@ -7076,6 +11887,21 @@ packages:
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   size: 1374400
   timestamp: 1787293619574
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/libcompiler-rt-23.1.4-hdb3d66b_0.conda
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+  md5: d46c022a9cc7dfedd4b650d1ae21c6a7
+  depends:
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+  license: Apache-2.0 WITH LLVM-exception
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+  purls: []
+  run_exports:
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 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libcxx-22.1.8-h55c6f16_0.conda
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   timestamp: 1781670209146
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/libcxx-23.1.4-h55c6f16_2.conda
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   timestamp: 1781670229781
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/libcxx-devel-23.1.4-h6dc3340_2.conda
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-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/libexpat-2.8.1-hf6b4638_1.conda
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+  md5: 5383c550b785bdaafcc4eaf638071a7c
   depends:
   - __osx >=11.0
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+  - expat 2.8.5.*
   license: MIT
   license_family: MIT
   purls: []
   run_exports: {}
-  size: 69362
-  timestamp: 1781203631990
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+  timestamp: 1790370026495
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@@ -7190,6 +12053,20 @@ packages:
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+  - libgomp 16.2.0 7
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   timestamp: 1787617544212
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+  md5: 2efa9518e126c501a7c7d638b2fa3a21
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+  constrains:
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+  license_family: GPL
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 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libgfortran5-16.2.0-hdb7a957_4.conda
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@@ -7214,6 +12104,19 @@ packages:
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   timestamp: 1787617465010
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/libgfortran5-16.2.0-hdb7a957_7.conda
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+  md5: c9d80dd8775b8fe76e825d63d8ccaf1b
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+  license: GPL-3.0-only WITH GCC-exception-3.1
+  license_family: GPL
+  purls: []
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 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libglib-2.88.3-ha531971_1.conda
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@@ -7233,6 +12136,30 @@ packages:
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   timestamp: 1786457780347
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/libgrpc-1.82.1-h74070d8_1.conda
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+  - libprotobuf >=7.35.1,<7.35.2.0a0
+  - libre2-11 >=2025.11.5
+  - libzlib >=1.3.2,<2.0a0
+  - openssl >=3.5.8,<4.0a0
+  - re2
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+  license: Apache-2.0
+  license_family: APACHE
+  purls: []
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   timestamp: 1785896382474
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/liblapack-3.11.0-11_hcb0d94e_accelerate.conda
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+  md5: 623184dbcc1dbdacba6454288d5a2fbc
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+  constrains:
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+  - libcblas   3.11.0   11*_accelerate
+  - liblapacke 3.11.0   11*_accelerate
+  track_features:
+  - blas_accelerate
+  license: BSD-3-Clause
+  license_family: BSD
+  purls: []
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+  timestamp: 1789061068914
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/liblapack-3.11.0-9_hcb0d94e_accelerate.conda
   build_number: 9
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@@ -7312,6 +12259,26 @@ packages:
     - liblapack >=3.11.0,<3.12.0a0
   size: 18148
   timestamp: 1786058849920
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/liblapacke-3.11.0-11_hbdd07e9_accelerate.conda
+  build_number: 11
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+  md5: b1ba0d4e18bd63fb842a2be4721e9570
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+  - libcblas 3.11.0 11_h752f6bc_accelerate
+  - liblapack 3.11.0 11_hcb0d94e_accelerate
+  constrains:
+  - blas 2.311   accelerate
+  track_features:
+  - blas_accelerate
+  license: BSD-3-Clause
+  license_family: BSD
+  purls: []
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+  timestamp: 1789061073476
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/liblapacke-3.11.0-9_hbdd07e9_accelerate.conda
   build_number: 9
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@@ -7350,6 +12317,24 @@ packages:
     - libllvm22 >=22.1.8,<22.2.0a0
   size: 30239322
   timestamp: 1787282732568
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/libllvm23-23.1.4-h759d1ac_1.conda
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+  - libzlib >=1.3.2,<2.0a0
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+  - expat 2.8.5.*
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+  md5: 79bdf20fd2666b8a3485a6021c935b3a
+  depends:
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+  constrains:
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+  - libcblas   3.11.0   11*_mkl
+  - liblapacke 3.11.0   11*_mkl
+  license: BSD-3-Clause
+  license_family: BSD
+  purls: []
+  run_exports:
+    weak:
+    - liblapack >=3.11.0,<3.12.0a0
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 - conda: https://conda.anaconda.org/conda-forge/win-64/liblapack-3.11.0-9_hf9ab0e9_mkl.conda
   build_number: 9
   sha256: 62d0a7a70ee13c554d5d7ff94a2ba758c4111439822dcc81324dd4cfaf576071
@@ -9066,6 +14771,24 @@ packages:
     - liblapack >=3.11.0,<3.12.0a0
   size: 79963
   timestamp: 1786059243440
+- conda: https://conda.anaconda.org/conda-forge/win-64/liblapacke-3.11.0-11_h3ae206f_mkl.conda
+  build_number: 11
+  sha256: 05821d8d0b1f1a9e36d7088bccf2dd8580e0debc5a436f7f760f3016cc94fc17
+  md5: 103897ea660324fe622d992198c629a4
+  depends:
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+  - libcblas 3.11.0 11_h2a3cdd5_mkl
+  - liblapack 3.11.0 11_hf9ab0e9_mkl
+  constrains:
+  - blas 2.311   mkl
+  license: BSD-3-Clause
+  license_family: BSD
+  purls: []
+  run_exports:
+    weak:
+    - liblapacke >=3.11.0,<3.12.0a0
+  size: 83794
+  timestamp: 1789061376255
 - conda: https://conda.anaconda.org/conda-forge/win-64/liblapacke-3.11.0-9_h3ae206f_mkl.conda
   build_number: 9
   sha256: 888dec7ff7b99ab912056090efc956d9042f6440069353f43dbbaadd26aa4cd2
@@ -9128,6 +14851,19 @@ packages:
     - libpng >=1.6.58,<1.7.0a0
   size: 385462
   timestamp: 1786616543374
+- conda: https://conda.anaconda.org/conda-forge/win-64/libpython-3.14.9-hc6187dd_100_cp314.conda
+  build_number: 100
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+  md5: 6b0b18803cf3d47fa1e696e2065fbb83
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+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  license: Python-2.0
+  purls: []
+  run_exports: {}
+  size: 51808
+  timestamp: 1792665348364
 - conda: https://conda.anaconda.org/conda-forge/win-64/libraqm-0.11.0-h50d6d30_0.conda
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   size: 280204
   timestamp: 1787225747847
-- conda: https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.53.4-hf5d6505_1.conda
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-  md5: a72d495965b144bb7da033642d389047
+- conda: https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.54.1-hf5d6505_100.conda
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+  md5: 758d0e38ebd246c9eec68a91d86064cf
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   - vc >=14.3,<15
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   purls: []
   run_exports:
     weak:
-    - libsqlite >=3.53.4,<4.0a0
-  size: 1314919
-  timestamp: 1787051140039
+    - libsqlite >=3.54.1,<4.0a0
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 - conda: https://conda.anaconda.org/conda-forge/win-64/libstdcxx-16.1.0-hae5796f_3.conda
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@@ -9189,6 +14925,20 @@ packages:
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   size: 7153890
   timestamp: 1787333055619
+- conda: https://conda.anaconda.org/conda-forge/win-64/libstdcxx-16.2.0-hae5796f_7.conda
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+  md5: cdc259116f09ebebe2442f855aa03cfd
+  depends:
+  - libgcc 16.2.0 h110b43a_7
+  - libwinpthread >=12.0.0.r4.gg4f2fc60ca
+  constrains:
+  - libstdcxx-ng ==16.2.0=*_7
+  license: GPL-3.0-only WITH GCC-exception-3.1
+  license_family: GPL
+  purls: []
+  run_exports: {}
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 - conda: https://conda.anaconda.org/conda-forge/win-64/libtiff-4.7.2-h8f73337_0.conda
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-  - xorg-libxau >=1.0.12,<2.0a0
-  - xorg-libxdmcp >=1.1.5,<2.0a0
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-- conda: https://conda.anaconda.org/conda-forge/win-64/libxml2-16-2.15.3-h3cfd58e_1.conda
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-  md5: 6e7dadff3f3bde2d29d29a3ec34f2d58
+- conda: https://conda.anaconda.org/conda-forge/win-64/libxml2-16-2.15.4-h3cfd58e_1.conda
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   - libiconv >=1.18,<2.0a0
@@ -9285,21 +15017,21 @@ packages:
   - vc >=14.3,<15
   - vc14_runtime >=14.44.35208
   constrains:
-  - libxml2 2.15.3
+  - libxml2 2.15.4
   license: MIT
   license_family: MIT
   purls: []
   run_exports: {}
-  size: 519962
-  timestamp: 1787237653321
-- conda: https://conda.anaconda.org/conda-forge/win-64/libxml2-2.15.3-h8ef44ab_1.conda
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-  md5: 45a5a1c709a69f14cf176220788d18a9
+  size: 515690
+  timestamp: 1791465669912
+- conda: https://conda.anaconda.org/conda-forge/win-64/libxml2-2.15.4-he095d88_1.conda
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+  md5: babe0e64f176114f880f366eba9094af
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   - libiconv >=1.18,<2.0a0
   - liblzma >=5.8.3,<6.0a0
-  - libxml2-16 2.15.3 h3cfd58e_1
+  - libxml2-16 2.15.4 h3cfd58e_1
   - libzlib >=1.3.2,<2.0a0
   - ucrt >=10.0.20348.0
   - vc >=14.3,<15
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     weak:
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-    - libxml2-16 >=2.15.3
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-  timestamp: 1787237661577
-- conda: https://conda.anaconda.org/conda-forge/win-64/libxslt-1.1.43-h0fbe4c1_1.conda
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-  md5: 46034d9d983edc21e84c0b36f1b4ba61
+    - libxml2-16 >=2.15.4
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+  timestamp: 1791465677280
+- conda: https://conda.anaconda.org/conda-forge/win-64/libxslt-1.1.45-ha5384fd_1.conda
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+  md5: ea7b3abfe39c180d1dce620867e267d1
   depends:
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   - vc14_runtime >=14.44.35208
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   purls: []
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     weak:
-    - libxslt >=1.1.43,<2.0a0
-  size: 420223
-  timestamp: 1757963935611
+    - libxslt >=1.1.45,<2.0a0
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 - conda: https://conda.anaconda.org/conda-forge/win-64/libzlib-1.3.2-hfd05255_3.conda
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-- conda: https://conda.anaconda.org/conda-forge/win-64/llvm-openmp-22.1.8-h4fa8253_1.conda
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-  md5: 8135c070cad2ee5bb28ea50c12e81ce9
+- conda: https://conda.anaconda.org/conda-forge/win-64/llvm-openmp-23.1.4-h49e36cd_0.conda
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   depends:
   - ucrt >=10.0.20348.0
   - vc >=14.3,<15
   - vc14_runtime >=14.44.35208
   constrains:
   - intel-openmp <0.0a0
-  - openmp 22.1.8|22.1.8.*
+  - openmp 23.1.4|23.1.4.*
   license: Apache-2.0 WITH LLVM-exception
   license_family: APACHE
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   run_exports:
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-- conda: https://conda.anaconda.org/conda-forge/win-64/llvmlite-0.48.0-py314h46b4103_1.conda
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-  md5: b4006e5a63ca3f2d825a079712ff067e
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+- conda: https://conda.anaconda.org/conda-forge/win-64/llvmlite-0.49.0-py314h46b4103_5.conda
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   - vc14_runtime >=14.44.35208
   - ucrt >=10.0.20348.0
-  - python_abi 3.14.* *_cp314
   - zstd >=1.5.7,<1.6.0a0
+  - python_abi 3.14.* *_cp314
   - libzlib >=1.3.2,<2.0a0
   license: BSD-2-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/llvmlite?source=hash-mapping
+  - pkg:pypi/llvmlite?source=compressed-mapping
   run_exports: {}
-  size: 28574162
-  timestamp: 1784043479652
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 - conda: https://conda.anaconda.org/conda-forge/win-64/m2-conda-epoch-20250515-0_x86_64.conda
   build_number: 0
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   timestamp: 1747330852019
-- conda: https://conda.anaconda.org/conda-forge/win-64/markupsafe-3.0.3-py314h2359020_1.conda
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-  md5: 8de7b40f8b30a8fcaa423c2537fe4199
+- conda: https://conda.anaconda.org/conda-forge/win-64/markupsafe-3.0.4-py314h9aa99d3_1.conda
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-  - python >=3.14,<3.15.0a0
-  - python_abi 3.14.* *_cp314
-  - ucrt >=10.0.20348.0
+  - python
   - vc >=14.3,<15
   - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
+  - python_abi 3.14.* *_cp314
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   - jinja2 >=3.0.0
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@@ -9415,26 +15147,27 @@ packages:
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-- conda: https://conda.anaconda.org/conda-forge/win-64/matplotlib-3.11.1-py314h30c6bc1_2.conda
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+- conda: https://conda.anaconda.org/conda-forge/win-64/matplotlib-3.11.2-py314h30c6bc1_1.conda
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+  - matplotlib-base >=3.11.2,<3.11.3.0a0
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   - python >=3.14,<3.15.0a0
   - python_abi 3.14.* *_cp314
   - tornado >=5
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   license_family: PSF
-  purls: []
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+  - pkg:pypi/matplotlib?source=compressed-mapping
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-- conda: https://conda.anaconda.org/conda-forge/win-64/matplotlib-base-3.11.1-py314h2061cd4_2.conda
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+  - pkg:pypi/matplotlib?source=compressed-mapping
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   timestamp: 1786086389935
+- conda: https://conda.anaconda.org/conda-forge/win-64/mkl-2026.1.0-hac47afa_235.conda
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+  - tbb >=2023.0.0
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  license: LicenseRef-IntelSimplifiedSoftwareOct2022
+  license_family: Proprietary
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 - conda: https://conda.anaconda.org/conda-forge/win-64/mkl-devel-2026.1.0-h57928b3_234.conda
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@@ -9492,6 +15240,20 @@ packages:
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   size: 5448461
   timestamp: 1786086741635
+- conda: https://conda.anaconda.org/conda-forge/win-64/mkl-devel-2026.1.0-h57928b3_235.conda
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+  depends:
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+  - mkl-include 2026.1.0 h57928b3_235
+  license: LicenseRef-IntelSimplifiedSoftwareOct2022
+  license_family: Proprietary
+  purls: []
+  run_exports:
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+    - mkl >=2026.1.0,<2027.0a0
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 - conda: https://conda.anaconda.org/conda-forge/win-64/mkl-include-2026.1.0-h57928b3_234.conda
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+  license: LicenseRef-IntelSimplifiedSoftwareOct2022
+  license_family: Proprietary
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+- conda: https://conda.anaconda.org/conda-forge/win-64/mkl-service-2.9.0-py314h6d79c4c_2.conda
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diff --git a/pyproject.toml b/pyproject.toml
index 7927f1b..994dd45 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -156,15 +156,33 @@ files = ["pytensor_ml"]
 
 [tool.pixi.workspace]
 channels = ["conda-forge"]
+# The named entries carry the virtual packages the GPU builds need: conda-forge builds mlx against
+# macOS 14.5, above pixi's default osx-arm64 target, and the CUDA jaxlib needs a CUDA driver. Every
+# environment gets every platform listed here unless a feature narrows it, so the environments that
+# are not for a GPU take the cpu feature below.
+platforms = [
+    "osx-arm64",
+    "linux-64",
+    "win-64",
+    { name = "osx-arm64-mlx", platform = "osx-arm64", macos = "14.5" },
+    { name = "linux-64-cuda", platform = "linux-64", cuda = "12.9" },
+]
+
+# Conda specs for the runtime dependencies, which pixi would otherwise install from PyPI wheels.
+# With a named platform in the workspace, `pixi lock --check` checks those wheels against the wrong
+# platform's virtual packages and fails at random: https://github.com/prefix-dev/pixi/issues/7040.
+[tool.pixi.dependencies]
+pytensor = ">=3.3.3,<3.4.0"
+numpy = "*"
+
+# Listing a platform by its exact name excludes the named variants on the same platform.
+[tool.pixi.feature.cpu]
 platforms = ["osx-arm64", "linux-64", "win-64"]
 
 # Autodoc imports pytensor_ml, so the docs environment needs the runtime stack alongside sphinx.
-# Read the Docs cannot read a pixi environment, so it builds from conda_envs/environment-docs.yml;
-# the two lists have to move together.
+# Read the Docs cannot read a pixi environment, so it builds from conda_envs/environment-docs.yml,
+# which a pre-commit hook exports from this one.
 [tool.pixi.feature.docs.dependencies]
-python = ">=3.12"
-pytensor = ">=3.3.3,<3.4.0"
-numpy = "*"
 safetensors = "*"
 # The gallery extension renders notebook thumbnails with matplotlib.
 matplotlib = "*"
@@ -199,5 +217,76 @@ docs-serve = { cmd = """\
     --ignore '*/source/api/generated/*'\
 """, cwd = "docs" }
 
+# The run_tests and mypy workflows install from these.
+[tool.pixi.feature.test.dependencies]
+safetensors = "*"
+scikit-learn = "*"
+# tests/optim/test_composition.py ships a configured rule to a worker.
+cloudpickle = "*"
+pytest = "*"
+pytest-cov = "*"
+pytest-xdist = "*"
+pytest-benchmark = "*"
+pytest-mock = "*"
+# tests/test_workflow_groups.py reads the CI matrix.
+pyyaml = "*"
+
+[tool.pixi.feature.test.pypi-dependencies]
+pytensor_ml = { path = ".", editable = true }
+
+# Each backend gets an environment of its own, so a dispatch job proves its backend works alone and
+# the plain test environment proves the library runs with none.
+[tool.pixi.feature.jax]
+platforms = ["linux-64", "osx-arm64"]
+
+[tool.pixi.feature.jax.dependencies]
+jax = ">=0.12,<0.13"
+jaxlib = { version = ">=0.12,<0.13", build = "cpu*" }
+
+[tool.pixi.feature.mlx]
+platforms = ["osx-arm64-mlx"]
+
+[tool.pixi.feature.mlx.dependencies]
+mlx = ">=0.32.4,<0.33"
+
+# The CUDA build of jaxlib, for running on an NVIDIA GPU. The jax feature above stays CPU-only so CI
+# never needs a GPU.
+[tool.pixi.feature.jax-cuda]
+platforms = ["linux-64-cuda"]
+
+[tool.pixi.feature.jax-cuda.dependencies]
+jax = ">=0.12,<0.13"
+jaxlib = { version = ">=0.12,<0.13", build = "cuda*" }
+cuda-nvcc = "*"
+
+[tool.pixi.feature.torch]
+platforms = ["linux-64", "osx-arm64"]
+
+[tool.pixi.feature.torch.dependencies]
+pytorch = { version = "*", build = "cpu*" }
+
+# Pinned rather than floated: a local run that disagrees with CI about the version is a local run
+# that cannot predict CI.
+[tool.pixi.feature.mypy.dependencies]
+mypy = ">=2.4.0,<2.5.0"
+
+# conda_envs/pytensor_ml.yml is exported from dev by a pre-commit hook, for contributors who set up
+# with conda. The gpu-jax and gpu-metal files are kept by hand: `pixi workspace export
+# conda-environment -p` takes only a bare subdir, and exporting for one drops the features bound to
+# a named platform. A feature named `dev` would also pull in the `dev` extra from
+# [project.optional-dependencies], jax with it.
+[tool.pixi.feature.tools.dependencies]
+pre-commit = "*"
+
 [tool.pixi.environments]
-docs = { features = ["docs"] }
+default = { features = ["cpu"] }
+docs = { features = ["cpu", "docs"] }
+test = { features = ["cpu", "test"] }
+test-jax = { features = ["cpu", "test", "jax"] }
+test-mlx = { features = ["test", "mlx"] }
+test-torch = { features = ["cpu", "test", "torch"] }
+mypy = { features = ["cpu", "test", "mypy"] }
+dev = { features = ["cpu", "test", "mypy", "tools"] }
+gpu-jax = { features = ["test", "mypy", "tools", "jax-cuda"] }
+# mlx is the backend that runs on Apple's GPU, through Metal.
+gpu-metal = { features = ["test", "mypy", "tools", "mlx"] }