SIGNALInfrastructure Software·Jun 6, 2026, 12:00 PMSignal75Short term

Huawei-led team claims it post-trained DeepSeek's 1.6-trillion-parameter model — 1,000 Ascend 910C chips used in training

Source: Tom's Hardware

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Huawei-led team claims it post-trained DeepSeek's 1.6-trillion-parameter model — 1,000 Ascend 910C chips used in training

A research group that includes Huawei Technologies says it completed full-parameter post-training of DeepSeek's V4-Pro, a 1.6-trillion-parameter model.

Why this matters
Why now

This development comes as China continues its aggressive pursuit of AI self-sufficiency following US export controls on advanced chips and AI technology.

Why it’s important

It demonstrates China's increasing capability to not only develop but also successfully leverage its domestic AI hardware for advanced model training, directly challenging the Western lead.

What changes

The ability for Chinese entities to post-train large, complex AI models using domestic silicon reduces reliance on foreign compute and accelerates the development of a sovereign AI stack.

Winners
  • · Huawei
  • · DeepSeek
  • · Chinese AI sector
  • · Ascend chip ecosystem
Losers
  • · US AI chip manufacturers
  • · Western AI model developers (in China market)
  • · Cloud providers reliant on Western chips
Second-order effects
Direct

Domestic Chinese AI models will become more sophisticated and prevalent.

Second

Increased investment and pressure on Chinese semiconductor companies to scale production of high-performance AI chips.

Third

Further geopolitical bifurcation of the global AI ecosystem, leading to distinct US-aligned and China-aligned AI stacks.

Editorial confidence: 90 / 100 · Structural impact: 60 / 100
Original report

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Read at Tom's Hardware
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