DeepSeek and Huawei collaborate on an AI chip to reduce reliance on NVIDIA

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On-chain news reports that DeepSeek and Huawei are collaborating to develop next-generation AI chips to reduce reliance on NVIDIA. Huawei engineers have joined DeepSeek to study model architecture and algorithm requirements, with the first chip targeting the Ascend 950DT. The project supports China’s initiative to decrease dependence on U.S. chips. Although the chip is scheduled for 2027, manufacturing delays and export controls may push its release to 2028. DeepSeek is using TileLang to bypass CUDA and has accessed NVIDIA’s Blackwell through third-party data centers. AI + crypto news highlights that the company is building a chip development team and testing a 1,000-processor cluster.

ChainCatcher report, according to The Information, DeepSeek is collaborating closely with Huawei to co-design the next generation of AI chips aimed at building models that do not rely on NVIDIA's computing power. Sources reveal that Huawei engineers have moved into DeepSeek’s offices to understand its model architecture and algorithm requirements, and to test how the chip handles data transmission and compression. The first targeted chip adaptation is the Ascend 950DT.

The report notes that this move comes as China seeks to reduce its dependence on U.S. chips. Restricted by TSMC’s manufacturing capabilities and U.S. export controls, Huawei’s Ascend 950DT, although planned for release in 2027, may face delayed mass production until 2028. To address chip shortages, DeepSeek is using the TileLang programming language to circumvent CUDA limitations, while still attempting to acquire banned NVIDIA Blackwell chips through third-party data centers. Additionally, DeepSeek is building its own chip team and has already begun testing clusters of over 1,000 processors.

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