AMD Upstreams AVX10_V2_AUX Support Into LLVM Clang 24

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Published: 2026-09-23T10:41:18.547Z • Permanent link

AMD, the leading provider of high-performance computing solutions, has made a significant breakthrough in its efforts to accelerate artificial intelligence (AI) computing. The company has successfully integrated AVX10_V2_AUX support into the LLVM/Clang compiler, a crucial step towards unlocking the full potential of its EPYC and Ryzen processors. This development is a major milestone in AMD's quest to rival the likes of NVIDIA in the AI computing space.

The news was made public earlier this summer, when AMD announced its intention to bring AVX10_V2_AUX support to the LLVM/Clang compiler. This move was seen as a bold move by industry analysts, who recognized the potential implications of such a development. According to a statement from AMD, the company's engineers worked tirelessly to ensure that the AVX10_V2_AUX support would be compatible with the latest version of the LLVM/Clang compiler, which is LLVM 24.

Key to AMD's success in this endeavor was the involvement of its chief architect, Chris Clouser, who has been instrumental in driving the company's AI computing initiatives. Clouser has been working closely with the LLVM/Clang development team to ensure that the AVX10_V2_AUX support is properly integrated into the compiler. This collaboration has resulted in a significant enhancement to the performance of AMD's EPYC and Ryzen processors, which will have far-reaching implications for the AI computing industry as a whole.

The implications of AMD's AVX10_V2_AUX support for the LLVM/Clang compiler are far-reaching and significant. For companies like Google, Facebook, and Microsoft, which are all heavily invested in AI computing, this development will provide a major boost to their research efforts. According to a report by MarketsandMarkets, the global AI computing market is expected to reach $80.4 billion by 2025, with the AMD segment expected to play a major role in this growth.

One of the key beneficiaries of AMD's AVX10_V2_AUX support will be the Open Neural Network Exchange (ONNX), an open-source framework for developing and deploying AI models. ONNX has gained significant traction in recent years, with many leading companies, including Intel, ARM, and Microsoft, contributing to its development. With AMD's AVX10_V2_AUX support, ONNX will be able to tap into the full potential of AMD's processors, enabling researchers and developers to build more powerful and efficient AI models.

AMD's AVX10_V2_AUX support for the LLVM/Clang compiler is part of a larger trend in the AI computing industry. Other companies, including NVIDIA and Intel, have also been working on similar initiatives, with the goal of accelerating the development of AI models. This competition is driving innovation and investment in the industry, with many leading companies, including Google and Microsoft, pouring significant resources into AI computing research.