{"id":11262,"date":"2026-09-30T20:54:20","date_gmt":"2026-09-30T12:54:20","guid":{"rendered":"https:\/\/goutanddesign.com\/wpress\/?p=11262"},"modified":"2026-09-30T20:54:20","modified_gmt":"2026-09-30T12:54:20","slug":"deepseek-and-huawei-open-a-cuda-rival-for-chinas-ai-chips","status":"publish","type":"post","link":"https:\/\/goutanddesign.com\/wpress\/2026\/09\/deepseek-and-huawei-open-a-cuda-rival-for-chinas-ai-chips\/","title":{"rendered":"DeepSeek and Huawei Open a CUDA Rival for China\u2019s AI Chips"},"content":{"rendered":"Reading Time : <\/span> 2<\/span> minutes<\/span><\/span>

DeepSeek has open-sourced a complete programming toolkit for Huawei\u2019s Ascend AI accelerators, marking one of the most concrete attempts yet to build a domestic alternative to Nvidia\u2019s entrenched CUDA ecosystem. The announcement, made through the company\u2019s social channels, positions the release as a foundational step toward an independent GPU software stack that can run large AI workloads without relying on foreign platforms.<\/p>\n

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At the core of the effort is TileLang, a high-level programming language crafted to be universal and approachable while still squeezing maximum performance from the hardware. Alongside it, DeepSeek is releasing compute and communication libraries such as DeepGEMM, FlashMLA, TileKernel, DeepSelect, and DeepEP, all tuned for Huawei\u2019s latest Ascend 950 chips and capable of scaling across supernode configurations that link up to 128 accelerators for heavy training jobs.<\/p>\n

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The initiative arrives as Chinese technology companies accelerate their shift away from Nvidia hardware under the pressure of U.S. export controls on advanced semiconductors. DeepSeek, which once leaned heavily on Nvidia\u2019s H800 GPUs, has been adapting its models to run on domestic silicon and is reportedly planning to deploy at least 160,000 Huawei Ascend accelerators in a new data center in Inner Mongolia, underscoring the strategic stakes behind the software push.<\/p>\n

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Still, the real test lies in whether this toolkit can attract enough developers to form a viable ecosystem around Huawei\u2019s chips. CUDA\u2019s grip on the industry comes less from raw technical advantage than from years of accumulated libraries, tools, and community knowledge. By making its stack free and designing TileLang to feel familiar to CUDA programmers, DeepSeek is trying to lower the barrier to entry, but winning over the broader AI engineering community will determine whether this becomes a true rival or a niche alternative.<\/p>\n

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\"B\u00e9n\u00e9dicte
B\u00e9n\u00e9dicte Lin \u2013 Brussels, Paris, London, Beijing, Seoul, Bangkok, Tokyo, New York, Taipei, Hong Kong<\/figcaption><\/figure>\n

\n#AI #DeepSeek #Huawei #Ascend #CUDA #TileLang #Semiconductors #ChinaTech #OpenSource #GPU<\/p>\n","protected":false},"excerpt":{"rendered":"

Reading Time : <\/span> 2<\/span> minutes<\/span><\/span>DeepSeek has open-sourced a full programming toolkit for Huawei\u2019s Ascend AI chips, aiming to challenge Nvidia\u2019s CUDA dominance. The release includes TileLang, a high-level language designed for performance and ease of use, plus libraries optimized for large-scale training. Backed by Huawei, the move signals a serious push to build a domestic GPU software stack amid export controls.<\/p>\n","protected":false},"author":2,"featured_media":11266,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[26,374,30,752,483,67],"tags":[589,207,206,19,27,217,498,32,228,4,489,390,111],"class_list":["post-11262","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-branding","category-economy","category-entreprise-strategy","category-fintech","category-technology","category-wealthytalks","tag-589","tag-ai","tag-artificial-intelligence","tag-benedicte","tag-branding","tag-china","tag-deepseek","tag-entreprise-strategy","tag-geopolitics","tag-gout-design","tag-huawei","tag-nvidia","tag-usa"],"_links":{"self":[{"href":"https:\/\/goutanddesign.com\/wpress\/wp-json\/wp\/v2\/posts\/11262","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/goutanddesign.com\/wpress\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/goutanddesign.com\/wpress\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/goutanddesign.com\/wpress\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/goutanddesign.com\/wpress\/wp-json\/wp\/v2\/comments?post=11262"}],"version-history":[{"count":1,"href":"https:\/\/goutanddesign.com\/wpress\/wp-json\/wp\/v2\/posts\/11262\/revisions"}],"predecessor-version":[{"id":11267,"href":"https:\/\/goutanddesign.com\/wpress\/wp-json\/wp\/v2\/posts\/11262\/revisions\/11267"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/goutanddesign.com\/wpress\/wp-json\/wp\/v2\/media\/11266"}],"wp:attachment":[{"href":"https:\/\/goutanddesign.com\/wpress\/wp-json\/wp\/v2\/media?parent=11262"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/goutanddesign.com\/wpress\/wp-json\/wp\/v2\/categories?post=11262"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/goutanddesign.com\/wpress\/wp-json\/wp\/v2\/tags?post=11262"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}