Article

DeepSeek V5 Training on Ascend: Milestone and Ceiling for Domestic Chips

CLS reported DeepSeek plans to train V5 on Huawei Ascend chips; a move from inference to training, with ecosystem migration cost as the ceiling variable.

One-sentence summary

CLS reported on November 3, citing industry sources, that DeepSeek plans to train its next model V5 on Huawei Ascend chips. If realized, it would be a key step from running inference on domestic chips to training national models with them.

Background ​

On November 3, 2026, CLS reported that DeepSeek V5 is planned to be trained on Ascend chips, according to multiple supply-chain sources.

What Moving from Inference to Training Means ​

Ascend chips previously served DeepSeek's inference workloads. Training places far higher demands on cluster interconnect, framework adaptation and operator optimization; adoption would signal that the Ascend ecosystem can handle large-scale pretraining.

Industry Signals ​

  • Large-scale validation on the inference side has boosted confidence in domestic chips.
  • If realized, "national chips train national models" would drive upgrades across domestic training clusters, frameworks and tooling.

The Ceiling Variable ​

Ecosystem migration costs on the training side (framework migration, operator development, cluster scheduling and stability) remain the key variable limiting the market ceiling.

References ​