- What happened
- DeepSeek released six open-source software tools built for Huawei's Ascend AI chips under an MIT license, including TileLang, a programming language. Huawei backed the effort, and the two tuned a supernode of 128 Ascend 950 chips.
- The claim
- DeepSeek pitches TileLang as an alternative to Nvidia's CUDA. Huawei says demand exceeds its capacity.
- Austin's take
- Austin sees CUDA as one of Nvidia's moats and calls this a notable challenge. He praises Chinese labs as scrappy and efficient despite having roughly a tenth of US compute, and welcomes that they publish much of their work as open source.
- Why it matters
- Software lock-in is a big part of Nvidia's dominance; a free alternative for rival chips could shift the competitive picture.
- What to do
- Developers curious about non-Nvidia hardware can watch how TileLang matures. Don't assume it changes much until supply and full-scale results show up.
- Not confirmed yet
- Huawei chip supply is limited, and fast single kernels don't prove full training runs work.
From the Thursday, October 1 show
DeepSeek releases open-source tools for Huawei's Ascend chips
AI-generated from the transcript