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# DeepSeek open-sources Huawei chip tools as a simpler alternative to CUDA

**[The Next Web](https://daily.dev/sources/tnw)** · 2 min read · 1 upvotes · 0 comments

## Summary

DeepSeek open-sourced a set of programming tools for Huawei's Ascend AI chips, including a version of TileLang, a language it positions as a simpler alternative to Nvidia's CUDA. The release includes six compute and communication modules mirroring tools DeepSeek already published for Nvidia chips, and Huawei reportedly gave full support during development. The two companies also built a 'supernode' system from 128 Ascend 950 chips and plan further collaboration, including deploying at least 160,000 Huawei accelerators in a data centre in Inner Mongolia. The move is framed as part of a broader push for an 'independent, self-controlled' GPU software ecosystem amid US export controls limiting Chinese access to Nvidia's advanced chips.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenextweb.com/news/deepseek-huawei-ascend-tilelang-open-source-cuda>

## Questions this post answers

### What programming tools did DeepSeek open-source for Huawei Ascend chips?

DeepSeek open-sourced a version of TileLang, a programming language positioned as a simpler alternative to Nvidia's CUDA, along with six compute and communication software modules for the Ascend platform. These mirror open-source tools DeepSeek had already published for Nvidia chips. Huawei reportedly provided full support during development, and the tools are free to download.

_Developers evaluating GPU programming alternatives beyond CUDA can follow ecosystem shifts like this on daily.dev._

### Why is DeepSeek using Huawei Ascend chips instead of Nvidia GPUs?

US export controls limit Chinese companies' access to Nvidia's most advanced chips, pushing DeepSeek and Huawei toward building an independent GPU software ecosystem. DeepSeek now uses TileLang, first tested on older Nvidia chips, as its core tool for artificial general intelligence work, while planning to deploy at least 160,000 Huawei accelerators in a data centre in Inner Mongolia.

_Teams weighing hardware and tooling dependencies amid export restrictions can track these developments on daily.dev._

### How many developers use Nvidia's CUDA platform compared to alternatives like TileLang?

Nvidia's CUDA platform has an estimated four million developers, a scale that new alternatives like TileLang must contend with when positioning themselves as simpler options for GPU programming on non-Nvidia hardware such as Huawei's Ascend chips.

_Developers comparing GPU programming ecosystems can keep tabs on CUDA alternatives via daily.dev._

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- [DeepSeek is reportedly designing its own AI chip to sidestep US curbs](https://daily.dev/posts/deepseek-is-reportedly-designing-its-own-ai-chip-to-sidestep-us-curbs-gn1slrknd) · The Next Web · 0 upvotes · 0 comments

---

Tags: [#gpu](https://daily.dev/tags/gpu), [#deepseek](https://daily.dev/tags/deepseek), [#cuda](https://daily.dev/tags/cuda)

[View this post on daily.dev](https://daily.dev/posts/deepseek-open-sources-huawei-chip-tools-as-a-simpler-alternative-to-cuda-4jjsqivir)

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