Huawei built the Ascend 950DT as a training chip and sells it as one. DeepSeek has ordered at least 160,000 of them, and does not currently plan to train on any of them.

The chips are destined for a gigawatt scale site at Ulanqab in Inner Mongolia, which would be among the largest known clusters of domestically made Chinese AI accelerators. DeepSeek intends to use them to run its models, the inference work that serves users, rather than to build new ones. Bloomberg reports the site is scheduled to come online in part by late 2027 or early 2028, and that Huawei's total 950DT output this year is capped in the low hundreds of thousands by a shortage of high end memory, so filling this one order could take more than twelve months.

Why this one is different

The question usually asked about Chinese AI silicon is whether it can replace Nvidia at all. This order answers a smaller question precisely and leaves the large one open. DeepSeek is committing a gigawatt of capacity to Huawei parts for the work that runs every day, and keeping the work that decides what the next model is somewhere else. That is a lab treating the domestic stack as sufficient for the job it can verify, and not yet for the other one.

A gigawatt of domestic silicon for serving models, and training kept elsewhere.

How we got here

1. 14 Aug 2026Alibaba releases Qwen3.8-27B under Apache 2.0, a dense model with no usage restrictions.
2. 26 Aug 2026Zhipu ships GLM-5.3-Flash under the MIT licence.
3. 28 Aug 2026Tencent ships HY4 preview, 770B parameters, open weights.
4. 4 Sep 2026The compute underneath that run of releases goes domestic, for inference, at gigawatt scale.

What it does and does not mean

This is an order and a plan, not a running cluster. The site is not scheduled to be even partly live until late 2027, Huawei is short of the memory the chip needs, and the order alone could take over a year to fill, so nothing here has been demonstrated at scale yet. It also does not show that Chinese silicon can train a frontier model, for the plain reason that DeepSeek is not proposing to use it that way. What it does show is that for inference, the part of the work that never stops and dominates the annual bill, one of China's leading labs has stopped waiting for Nvidia.