DeepSeek and Huawei Partner to Build Open-Source CUDA Alternative for Ascend AI Chips
Summary
Updated Sep 30 — Nvidia's CEO has publicly warned the DeepSeek-Huawei software partnership represents a significant threat to US AI technological leverage.
- • DeepSeek and Huawei jointly develop open-source programming tools for Ascend AI chips
- • TileLang launched as open-source high-level CUDA alternative targeting full Ascend chip performance
- • Joint 128-chip Ascend 950 supernode solution optimises AI training compute and communications
- • Partnership aims to build China's independent, self-controlled GPU software ecosystem
Updates
Nvidia CEO Jensen Huang warns DeepSeek-Huawei shift threatens US AI leverage
Nvidia CEO Jensen Huang publicly stated that DeepSeek shifting to Huawei hardware and software represents a significant risk to U.S. technological leverage in AI — the first explicit acknowledgment from Nvidia's top executive of the competitive threat posed by the partnership (Bloomberg).
DeepSeek plans 160,000 Ascend 950DT chip deployment in Inner Mongolia data center
DeepSeek planned large-scale deployment of at least 160,000 Huawei Ascend 950DT chips at a new Inner Mongolia data center, demonstrating infrastructure-scale commitment to the Ascend ecosystem beyond just software tooling.
DeepSeek also developing its own AI inference chip beyond Huawei partnership
Reuters reported in July 2026 that DeepSeek is developing its own inference chip, extending its hardware independence strategy beyond the Huawei partnership and signaling a broader ambition to control its full compute stack.
New York Times coverage signals mainstream US business press attention
The New York Times published a September 30, 2026 report framing the DeepSeek-Huawei effort as directly targeting 'a key source of Nvidia's AI dominance,' marking the story's entrance into mainstream US business media and amplifying investor awareness.
Details
DeepSeek–Huawei joint open-source Ascend infrastructure
DeepSeek announced a partnership with Huawei to develop and open-source programming infrastructure for Ascend AI chips, including compute and communication libraries, announced via DeepSeek's WeChat account.
TileLang: open-source CUDA alternative for AI chips
TileLang is a high-level open-source programming language for AI chips offering a simpler programming model than NVIDIA's CUDA while aiming to reach the hardware's full performance potential on Ascend.
128-chip Ascend 950 supernode jointly developed
DeepSeek and Huawei jointly advanced a supernode solution based on 128 Ascend 950 chips, optimising both computation and communication performance for AI training workloads at scale.
Announced two weeks after Huawei's next-gen chip reveal
The partnership came two weeks after Huawei unveiled its next-generation AI processors and supernode computing systems, which Huawei expects to be widely used for model training in 2027.
Goal: independent self-controlled GPU software ecosystem
DeepSeek explicitly stated the goal is to build a 'new generation of independent, self-controlled GPU software ecosystems,' with TileLang as the foundational universal high-level language.
Deepening Chinese AI firm ties as Nvidia alternative sought
Reuters described this as the latest sign of Chinese tech firms deepening ties as they seek alternatives to the Nvidia ecosystem, amid US export controls limiting Nvidia chip access in China.
Partnership details, technology specs, and strategic context for the DeepSeek–Huawei open-source AI chip programming stack.
What This Means
DeepSeek and Huawei's TileLang partnership is a concrete step in China's strategy to build a domestic AI chip software stack independent of NVIDIA's CUDA ecosystem. With US export controls blocking access to top Nvidia hardware, China's leading AI research lab and its foremost chip maker are jointly creating the programming infrastructure needed for Chinese developers to fully exploit Ascend hardware. If TileLang gains adoption, it could erode one of NVIDIA's most defensible competitive moats — the software ecosystem lock-in — and accelerate the viability of Ascend chips for serious AI training workloads at scale.
Sources
- DeepSeek says it has partnered with Huawei to develop programming tools for Huawei's Ascend chips, including TileLang, an open-source CUDA alternativeReuters
- DeepSeek and Huawei Target a Key Source of Nvidia’s A.I. Dominance - The New York TimesNew York Times
- DeepSeek Builds for Huawei Ascend (6 minute read)Geopolitechs
