Huo Xing Cai Jing reports, according to a November 3 article by the Sci-Tech Daily, that sources along the industry chain have revealed that AI company DeepSeek plans to train its next-generation large model, DeepSeek V5, using Huawei Ascend chips. Previously, Ascend chips were primarily used for inference tasks with DeepSeek’s large models. The report states that at the end of September this year, DeepSeek open-sourced infrastructure components for Huawei’s Ascend computing platform, including the TileLang high-level language compiler, computational libraries, and distributed communication libraries—each corresponding directly to previously open-sourced components designed for NVIDIA platforms. The report was written by Sci-Tech Daily journalist Huang Xinyi.
DeepSeek to Train V5 Model on Huawei Ascend Chips
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Summary
On-chain news reports that DeepSeek plans to train its DeepSeek V5 model using Huawei’s Ascend chips. Previously, these chips were primarily used for inference. In late September, the company open-sourced Ascend infrastructure, including TileLang, computational libraries, and communication tools—components that mirror those previously released for NVIDIA. This move coincides with crypto news highlighting growing diversification in AI infrastructure.
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