DeepSeek V5 planned for pre-training on Huawei Ascend chips

·2026.11.03 16:07

Key point

DeepSeek V5 is planned to be pre-trained on Huawei Ascend chips, marking the first time a top-tier Chinese model uses domestic hardware for this phase.

Details

  • DeepSeek V5 is planned to be pre-trained on Huawei Ascend chips, a shift from previous use of Ascend primarily for inference tasks.
  • This move would answer long-standing skepticism about whether China's top-tier large models can be pre-trained on domestic computing hardware.
  • DeepSeek has already open-sourced infrastructure components for the Ascend platform, including TileLang, DeepGEMM, FlashMLA, TileKernel, and DeepEP.
  • A recent project team completed full-parameter post-training of DeepSeek-V4-Pro (1.6 trillion parameters) on an Ascend 910C cluster, though this excluded the initial pre-training phase.
  • DeepSeek anticipates a significant price reduction for the V4-Pro model once the Ascend 950 super-node series enters mass-market availability in the second half of the year.

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