{"rewrite":{"id":"r_c3d874dc381a66847f497179","clusterId":"c_dff8d3f672930abbd6ec46e2","slug":"deepseek-v4-pro-post-training-completed-on-huawei-ascend-910c-chips","model":"deepseek-v4-flash","headline":"DeepSeek-V4-Pro Post-Training Completed on Huawei Ascend 910C Chips","summary":"A Chinese research team including Huawei completed post-training for the DeepSeek-V4-Pro model using at least 1,000 Huawei Ascend 910C chips. The 1.6-trillion-parameter model was trained without NVIDIA hardware, marking progress in China's AI self-reliance amid US sanctions.","whyItMatters":"The project demonstrates that Chinese-made chips can handle full-parameter post-training of a large-scale model, a step beyond inference that has been a weak point for domestic semiconductors.","webCardHtml":"\u003cp\u003eThe joint team, which includes Huawei, the Shenzhen Loop Area Research Institute, Harbin Institute of Technology Shenzhen Campus, and the Shenzhen Big Data Research Institute, used a computing cluster of at least 1,000 Ascend 910C chips to run the full-parameter post-training. The Ascend 910C is built on SMIC's second-generation 7nm process with Huawei's Da Vinci architecture, and Huawei claims it performs comparably to NVIDIA's H100.\u003c/p\u003e\u003cp\u003ePost-training teaches a model to follow instructions and safety rules after pre-training. The Shenzhen city government described the upgrade as adding complex interchanges and loops to what was previously a one-way road for computing power.\u003c/p\u003e","blueskyPost":"DeepSeek-V4-Pro post-training completed on Huawei Ascend 910C chips. 1.6 trillion parameters, no NVIDIA hardware. A milestone for China's AI self-reliance.","twitterPost":"DeepSeek-V4-Pro post-training completed on Huawei Ascend 910C chips. 1.6 trillion parameters, no NVIDIA hardware. A milestone for China's AI self-reliance.","threadsPost":null,"newsletterBlurb":"A Chinese research team completed post-training of the DeepSeek-V4-Pro model using at least 1,000 Huawei Ascend 910C chips. The project is a step toward self-reliance in AI training, an area where Chinese chips have lagged behind inference.","attributionJson":"[{\"source\":\"GIGAZINE\",\"url\":\"https://gigazine.net/news/20260608-huawei-ascend-910c-deepseek-v4-pro/\",\"title\":\"DeepSeek-V4-Pro Post-Training Successfully Completed on Huawei's Cutting-Edge 'Ascend 910C' Chip, Not NVIDIA, Marking Progress in China's AI Self-Reliance\"}]","lintFlagsJson":null,"lintHits":0,"costUsd":0,"inputTokens":4295,"outputTokens":554,"status":"published","repairAttempts":0,"nextRepairAt":null,"factsAttemptedAt":1780897473,"createdAt":"2026-06-08T05:33:24.000Z","publishedAt":"2026-06-08T05:37:31.000Z","updatedAt":"2026-06-08T05:37:31.000Z"},"cluster":{"id":"c_dff8d3f672930abbd6ec46e2","canonicalTitle":"NVIDIAではなくHuaweiの最先端チップ「Ascend 910C」でDeepSeek-V4-Proの事後学習に成功したことが明らかに、中国のAI自立が前進","representativeArticleId":"a_36415deb5fe3e5c5a7b62748","sourceCount":1,"writtenSourceCount":1,"writeAttempts":0,"isSolo":true,"entitiesJson":"{\"anime_titles\":[],\"manga_titles\":[],\"work_titles\":[],\"studios\":[],\"people\":[],\"type\":\"news\",\"domain\":\"other\",\"is_roundup\":false}","contentType":"news","status":"published","firstSeenAt":"2026-06-08T05:00:00.000Z","lastSeenAt":"2026-06-08T05:00:00.000Z","updatedAt":"2026-06-08T05:37:31.000Z"},"attribution":[{"source":"GIGAZINE","url":"https://gigazine.net/news/20260608-huawei-ascend-910c-deepseek-v4-pro/","title":"NVIDIAではなくHuaweiの最先端チップ「Ascend 910C」でDeepSeek-V4-Proの事後学習に成功したことが明らかに、中国のAI自立が前進"}],"entities":{"anime_titles":[],"manga_titles":[],"work_titles":[],"studios":[],"people":[],"type":"news","domain":"other","is_roundup":false},"keyFacts":["The team used a computing cluster of at least 1,000 Huawei Ascend 910C chips, which are built on SMIC's second-generation 7nm process with Huawei's Da Vinci architecture.","Huawei claims the Ascend 910C performs comparably to NVIDIA's H100, and the project was completed without using any NVIDIA hardware.","Post-training is the process that teaches a model to follow instructions and safety rules after its initial pre-training phase.","The Shenzhen city government described the upgrade as adding complex interchanges and loops to what was previously a one-way road for computing power."]}