DeepSeek V4 Pro Full Parameter Training Shows China Advancing AI Independence from US Chips

About this episode

The episode discusses how DeepSeek's V4 Pro model training highlights China's advancements in AI independence from U.S. chips.

DeepSeek is back in the news because a Huawei-linked research group says it successfully completed full-parameter post-training on DeepSeek’s V4-Pro, a model with about 1.6 trillion parameters, using a cluster of at least 1,000 Huawei Ascend 910C chips. Tom’s Hardware reports that this matters because full-parameter post-training updates every weight in the model, which is far more demanding than adding a small adapter layer on top.[1] The development highlights two major trends in the current AI race. First, Chinese hardware and AI teams are showing that large frontier-style models can be trained and refined on domestic infrastructure, reducing reliance on U.S.-made chips.[1] Second, DeepSeek remains influential well beyond China’s borders, with its low-cost, open-source approach continuing to reshape price expectations across the AI market.[7] At the same time, DeepSeek is part of a broader policy and security conversation. TechRadar reports that China is tightening scrutiny of foreign AI models and third-party access tools, citing security and privacy concerns, even as companies in the U.S. and elsewhere continue to adopt or study DeepSeek-based systems.[2] That tension…

Topics covered

• AI independence
• China's AI development
• DeepSeek V4 Pro
• hardware advancements
• AI market trends
• national security
• open-source AI

Keywords

• DeepSeek
• AI independence
• Huawei
• V4 Pro
• full-parameter training
• U.S. chips
• open-source AI
• national security
• AI market

Mentioned in this episode

Organizations: DeepSeek, Huawei, Tom’s Hardware, TechRadar

Products: DeepSeek’s V4-Pro, Huawei Ascend 910C

Places: China, U.S.

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