DeepSeek is reportedly betting on training AI models with Huawei chips

The Information reports that CEO Liang Wenfeng calls the domestic-chip effort a major priority as DeepSeek seeks more Huawei training hardware amid restrictions on access to advanced foreign chips.

4 Sources, 19d ago, first seen 19d ago

TLDR

The Information reports that DeepSeek CEO Liang Wenfeng told investors that training models on Huawei chips is one of the company’s biggest bets and that a new batch could arrive in Q4 2026 or Q1 2027. The effort fits a wider push for Chinese chip self-reliance as US-led restrictions limit access to advanced AI hardware. The delivery schedule and the chips’ training performance remain unconfirmed.

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4 Sources, first seen 19d ago

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DeepSeek is reportedly betting on training AI models with Huawei chips

The Information reports that CEO Liang Wenfeng calls the domestic-chip effort a major priority as DeepSeek seeks more Huawei training hardware amid restrictions on access to advanced foreign chips.

4 Sources, 19d ago, first seen 19d ago

TLDR

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Combined views

83K

4 Sources, first seen 19d ago

129 likes7 comments43 saves37 reposts

The Information’s reporting, summarized by Techmeme, says DeepSeek CEO Liang Wenfeng told investors that using more domestic chips to train the company’s models is a major priority. The report says training on Huawei hardware is one of DeepSeek’s biggest bets and “has to work.”

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The same reporting says DeepSeek expects a new batch of Huawei training chips in the fourth quarter of 2026 or the first quarter of 2027. That timeline, and the scale or performance of any training deployment, are still reported rather than confirmed by either company.

A domestic-chip push under export controls

The reported strategy sits within a broader policy and supply context. The Associated Press reported this month that Huawei had unveiled new chip technologies as China pursues technological self-reliance after US-led restrictions limited access to some advanced AI chips and chipmaking tools.

That backdrop explains why a company may want alternatives to Nvidia hardware, but it does not establish that Huawei chips match Nvidia’s performance in DeepSeek’s workloads. DeepSeek’s reported bet is therefore notable as a planned shift in its training supply, not evidence that the technical transition has already succeeded.

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