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AMD and Intel announce collaboration on x86 CPU optimization for PyTorch

5 reports3 discussions8 story updatesUpdated Oct 22 11:43

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On October 21, 2026, AMD and Intel announced a collaboration on x86 CPU optimization for PyTorch, unifying their respective PyTorch x86 CPU optimization efforts into the open-source deep learning acceleration library oneDNN. According to a report by Semiconductor Industry Observer, AMD merged its in-house ZenDNN into it and joined the UXL Foundation under the Linux Foundation as a guiding member; after the integration, developers need only interface with a single set of APIs to obtain low-level optimizations for both AMD EPYC and Intel Xeon. The two parties are also jointly developing ACE, a next-generation x86 instruction set extension for matrix multiplication, which is planned to be gradually integrated into PyTorch through subsequent oneDNN versions. A report by Electronic Technology Application on October 22 likewise mentioned that oneDNN will become the default open-source library for x86 acceleration within PyTorch, and that AMD joined the UXL Foundation as a steering committee member. No further progress has been disclosed at present.

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Oct 22

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  2. Electronic Technology Application

    AMD and Intel Join Forces to Unify PyTorch Optimization Path on x86

    AMD and Intel announced a collaboration on PyTorch x86 CPU optimization, integrating their respective optimizations into the open-source deep learning library oneDNN, making it the default open-source library for x86 acceleration within PyTorch. AMD will integrate ZenDNN optimizations into oneDNN and join the Unified Acceleration Foundation (UXL Foundation) as a steering committee member. The two companies are also advancing the next-generation instruction set architecture for x86, "AI Compute Extensions" (ACE), focusing on accelerating matrix multiplication, with plans to integrate it into PyTorch through oneDNN updates in the future.

Oct 21

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