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DeepSeek Helps Shape Huawei AI Chips, Eyes Year-End Model Training

DeepSeek plans to try pretraining on Ascend 950DT chips. Huawei plans to prioritize it for most Ascend 960DT chips expected in early 2027.

An AI processor sits on a laboratory test board. / TokenPost.ai (mono)
An AI processor sits on a laboratory test board. / TokenPost.ai (mono)

DeepSeek is helping shape Huawei's future AI chips around its model training needs and plans to start pretraining on Ascend hardware as early as year-end, potentially challenging Nvidia's role in China.

Huawei engineers have been working inside DeepSeek's offices on designs informed by the developer's training workloads. Their work addresses how computing tasks are assigned and how data moves between chips.

DeepSeek plans to use the Ascend 950DT for a pretraining attempt. Tests have involved more than 1,000 chips, but a full run could require tens of thousands. Some software needed to manage a cluster that large remains unfinished.

The effort follows DeepSeek's unsuccessful attempt to train its R2 model on Huawei chips last year. Problems with chip stability, communication between chips and software support led it to finish training on Nvidia hardware. DeepSeek is still seeking more Nvidia chips.

Huawei plans to give DeepSeek priority for most of its Ascend 960DT supply. Those chips are expected to be ready in the first quarter of 2027.

Simon Yoon

Reporter

Simon Yoon reports on blockchain technology for TokenPost. Send corrections or tips to info@tokenpost.com.

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