0. Though it's not absolute - there's still the Singapore-based clusters loop-hole, that the Chinese government may choose the degree to which it turns a blind eye to, if progress is slow.
For example there are like 6 different technical tracks of EUV development. They're not committing to one technical direction, it's exploring all of them.
And even if Huawei's Ascend 910C can compete with NVIDIA's H200, CUDA is still a large moat
and for a company full of brilliant engineers with zero respect for american law its not that hard to make one more by themselves.
Apparently production is constrained though, with DeepSeek saying they were only able to get an allocation of 16,000 950 cards. They have plenty of money, but are limited by the number of cards available to buy, and therefore the size of models they can train. They mentioned having a 20,000 GPU cluster. Other companies like Kimi, with a ~3T param model, clearly have a lot more compute, probably all NVIDIA.
DeepSeek have their own "TileLang" software, which sounds a bit like the Triton kernel compiler, and isolates them from the diffences between NVIDIA and Huawei chips - they are deliberately avoiding any CUDA dependency.