DeepSeek CEO Liang Wenfeng told investors in a recent closed-door meeting that training large language models on domestic chips, including Huawei processors, is one of the company’s biggest bets and "must succeed," according to The Information, which cited people familiar with the matter. The report said DeepSeek expects to receive a new batch of Huawei chips for training as early as the fourth quarter of this year, though the specific model and shipment size were not disclosed. Liang said Huawei chips could catch up with Nvidia within a few years, and that DeepSeek wants to adapt its systems early to hardware beyond Nvidia. For now, however, the company is still using Nvidia chips to train its models. Liang had estimated in May that training the most advanced large models would require about 50,000 Nvidia GB300 chips, or roughly 200,000 Huawei Ascend 950 chips, with Huawei’s limited supply then seen as the main constraint.
DeepSeek CEO Liang Wenfeng told investors in a recent closed-door meeting that training large language models on domestic chips, including Huawei processors, is one of the company’s biggest bets and "must succeed," according to The Information, citing people familiar with the matter.
The report said DeepSeek expects to receive a new batch of Huawei chips for training as early as the fourth quarter of this year. The specific chip model and shipment volume were not disclosed. Liang said Huawei chips could catch up with Nvidia within a few years, and DeepSeek wants to adapt early to hardware beyond Nvidia.
DeepSeek is still using Nvidia chips to train its models at present. In May this year, Liang estimated that training the most advanced large models would require about 50,000 Nvidia GB300 chips. Replacing them with Huawei Ascend 950 chips would require roughly 200,000 units. At that time, he said Huawei’s limited supply was the biggest problem.
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