xpu: add XPU to additional pages#2076
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ZhaoqiongZ
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Jun 3, 2026
XPU is a PyTorch device backend designed to support hardware acceleration on Intel GPUs. Signed-off-by: Dmitry Rogozhkin <dmitry.v.rogozhkin@intel.com>
| * Native support for FP32, BF16, FP16, and Automatic Mixed Precision (AMP) | ||
| * Extensions of operator set through custom SYCL kernels | ||
| * Graph compilation | ||
| * Distributed training (through `XCCL`) |
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we can either keep it simple, similar to how we present computes on the primary page—with a very brief introduction and a redirect to our getting started pages—or, alternatively, we can highlight major features directly in this section.
XPU brings native Intel GPU support to PyTorch with a growing set of upstreamed capabilities, enabling performant training and inference on both Linux and Windows:
- Supports both eager and graph execution
- Enables training and inference workflows
- Broad operator coverage and model readiness
- Built-in support for FP32, BF16, FP16, FP8 and AMP delivers improved performance and memory efficiency
- Scales across devices with distributed training via the XCCL backend
- Supports PyTorch CPP Extension API through SYCL-based custom kernels
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Adding XPU to getting started additional pages space following procedure outlined in https://github.com/pytorch/pytorch.github.io/blob/site/additional_platforms.md
XPU is an in-tree PyTorch device backend designed to support hardware acceleration on Intel GPUs. XPU maintainers: @EikanWang, @guangyey.