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AI & LLM Engineering · CUDA · By intel

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1

Add a new hardware inference backend to AutoRound for deploying quantized models (e.g., CUDA/Marlin, Triton, CPU, HPU, ARK).

intel/auto-round1.6k—~2.3kAutomated safety check: PassApache-2.0yesterday
2
2.At Dispatch V2Official

Convert PyTorch ATDISPATCH macros to ATDISPATCHV2 format in ATen C++ code.

intel/torch-xpu-ops1153 repos~2.2kAutomated safety check: PassApache-2.0yesterday
3

Review PyTorch upstream unit-test (UT) PRs that enable Intel GPU (XPU) on existing tests.

intel/torch-xpu-ops115—~917Automated safety check: PassApache-2.0yesterday
4

Generate and analyze T1/T2/R roofline reports for PyTorch OOB workloads comparing Intel XPU and NVIDIA CUDA.

intel/torch-xpu-ops115—~681Automated safety check: PassApache-2.0yesterday