DeepSeek V5 to Be Trained on Huawei Ascend Chips

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On-chain news reports that DeepSeek’s upcoming DeepSeek V5 model will be trained using Huawei’s Ascend chips. Previously, these chips were primarily used for inference tasks. In late September, DeepSeek released open-source infrastructure for the Ascend platform, including the TileLang compiler, computational libraries, and communication tools—similar to those available for NVIDIA. This move aligns with broader crypto news trends indicating growing cross-platform support for AI and blockchain integration.

ChainCatcher report: According to a November 3 article by the Science and Technology Daily, reporters learned from multiple industry insiders that the AI company DeepSeek plans to train its next-generation large model, DeepSeek V5, on Huawei Ascend chips. Previously, Ascend chips were primarily used for inference tasks in 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 for NVIDIA platforms. This report was written by reporter Huang Xinyi of the Science and Technology Daily.

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