DeepSeek open-sourced programming tools for Huawei chips, taking aim at Nvidia's (NVDA) CUDA

DeepSeek and Huawei logos above the words: programming tools for Huawei chips, aimed at Nvidia CUDA

Key points

  • DeepSeek open-sourced programming tools for Huawei chips
  • The tools aim to reduce reliance on Nvidia's CUDA
  • The two built a system on 128 Ascend chips

DeepSeek said it has open-sourced programming infrastructure for Huawei Technologies' Ascend chips, and described the goal as building "a new generation of independent, self-controlled GPU software ecosystems." The tools are meant to reduce developers' reliance on Nvidia (NVDA)'s CUDA, the software that ties much AI work to Nvidia hardware.

DeepSeek also said it worked with Huawei on a "supernode" system built on 128 Ascend 950 chips. DeepSeek posted the announcement to its official WeChat account on Wednesday, two weeks after Huawei unveiled its next generation of AI processors.

What DeepSeek released

The release includes compute and communication libraries and a high-level programming language called TileLang. Each component matches a tool DeepSeek had already released for Nvidia chips, so the two sets line up one to one. DeepSeek said Huawei provided full support in developing the infrastructure.

TileLang offers "a simpler programming model" than CUDA, DeepSeek said. "To build a new generation of independent, self-controlled GPU software ecosystems, the first priority is establishing a high-level language that is universal, easy to program, and still capable of reaching the hardware's full performance potential," the company said. "TileLang was created precisely to meet this need."

DeepSeek said it first tested the approach on Nvidia's platform and now uses TileLang for most of the computational operations involved in training its V4 models. The Ascend version wraps Huawei's low-level chip instructions, allowing developers to work in a higher-level language. DeepSeek says the approach can preserve performance.

What it means for Nvidia

CUDA is Nvidia's platform for programming its chips. Developers who have built software around it can face substantial work adapting that software to other hardware. DeepSeek says its tools are intended to reduce that dependence.

DeepSeek is one of China's most-watched AI developers, and it has been moving toward domestic hardware for months. The company earlier laid plans to install more than 160,000 Huawei Ascend chips at a data center in Inner Mongolia. Huawei has said it expects its AI systems to be widely used for model training next year.

Nvidia shares were up 1.0% at $229.45 in premarket trading, as of 9:25 a.m. ET on Wednesday. Nvidia's sales to China have already been cut by US export limits, and the company has said it expects little to no data-center revenue from the country.

Frequently asked questions

What did DeepSeek and Huawei announce?

DeepSeek said on September 30, 2026, that it had open-sourced programming infrastructure for Huawei's Ascend chips, including compute and communication libraries and a high-level language called TileLang. The two companies also built a system on 128 Huawei Ascend 950 chips. DeepSeek posted the announcement to its official WeChat account.

What is TileLang, and how does it relate to CUDA?

TileLang is a high-level programming language for AI chips that DeepSeek says offers a simpler model than Nvidia's CUDA. CUDA is Nvidia's software platform for programming its chips, and it keeps many developers on Nvidia hardware because code written for it does not run elsewhere. TileLang lets developers write for Huawei's Ascend chips without dropping to low-level instructions.

How does this affect Nvidia (NVDA)?

The tools give Chinese developers an alternative to the CUDA software that ties much AI work to Nvidia hardware. Nvidia's sales to China have already been cut by US export limits, and the company has said it expects little to no data-center revenue from the country. Nvidia shares were up 1.0% in premarket trading on September 30, 2026.

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Dennis Singleton
Dennis Singleton

Dennis Singleton was born in Australia and later moved to the United States. He has spent years following the markets, but what keeps his attention is how AI is built. He writes about the companies behind the technology, from semiconductor designers and advanced packaging to photonics, memory, networking, and the hardware powering modern AI. His approach starts with filings, earnings, and industry research, then translates the important details into clear, straightforward analysis without unnecessary hype.