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Nvidia H200 shipments to China delayed, US says

US Commerce Secretary Howard Lutnick said on April 22 that Nvidia has not sold its H200 AI chips to Chinese customers.

The reason is that Beijing has not yet approved the purchases and is prioritizing investment in domestic suppliers.

The Trump administration cleared some China-bound H200 sales in January, subject to conditions.

However, shipments have been delayed by disagreements over sales terms in both the US and China.

Lutnick also said the US could still revive the affiliates rule, which would limit shipments of advanced US technology to thousands of Chinese companies.

He added that the measure is tied to a broader trade agreement with China.

🔗 Source: Reuters

🧠 Food for thought

Implications, context, and why it matters.

A 25% US charge and Chinese curbs have slowed H200 chip sales

  • The Trump administration’s terms are substantial. Nvidia’s H200 AI chips headed to China must first pass through the U.S. for testing, where a 25% tariff applies 1.
  • The policy has drawn legal objections because the president may lack authority to charge for export licenses 2.
  • In China, the delay looks tied to policy talks rather than shipping problems 1, 3.
  • Authorities first stopped H200 shipments at customs and told Chinese tech companies to pause purchases 1, 3.
  • The pause seems temporary while the government writes rules to cap how many advanced foreign AI chips Chinese companies can buy 3.

China’s H200 pause underscores a hard AI tradeoff

  • Beijing is trying to solve a hard problem. China’s domestic chips trail Nvidia’s, yet dependence on foreign hardware clashes with its push for technological self-sufficiency 4.
  • Top U.S. chips are estimated to be five times as powerful as Huawei’s best offerings today. That gap could reach seventeen times by 2027 5.
  • Even in optimistic scenarios, Huawei, the Chinese telecoms and technology company, is expected to provide only 2% of Nvidia’s total AI computing power by 2027 5.
  • That leaves Beijing trying to limit foreign chip access while building a local option that still trails at the high end 3, 5.

Recent Nvidia developments

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