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How China gets the Nvidia chips it needs to develop AI

Despite US export restrictions, China continues to access cutting-edge Nvidia chips, with some vendors reportedly smuggling them into the country or accessing them through loopholes.

4 min readRead the original reporting
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straitstimes.com
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Reporting by a news outlet — not a first-party document.

What we could not confirm independently: This claim is attributed to the named outlet. We did not verify it against a first-party document. (straitstimes.com)

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What happened

China has found ways to obtain Nvidia chips despite US export restrictions. Nvidia's top-end Blackwell and Rubin GPUs are banned for export to China, but the US has eased controls on the less powerful H200 chip. However, US conditions have made it difficult for shipments to be approved, and Beijing is reportedly reluctant to buy H200s as its own chip industry gains momentum. Chinese vendors are still using cutting-edge Nvidia chips to train their models, and some may be smuggling them into the country or accessing them through loopholes.

Nvidia's top-end Blackwell and Rubin GPUs are banned for export to China due to security concerns.

The US has eased controls on the less powerful H200 chip, but US conditions have made it difficult for shipments to be approved.

Chinese vendors are still using cutting-edge Nvidia chips to train their models, despite the controls.

Some Chinese vendors may be smuggling Nvidia chips into the country or accessing them through loopholes.

Huawei is China's top Nvidia competitor and is reportedly training its next major AI model on Huawei chips.

Source details: straitstimes.com

Why it matters

The US export restrictions are intended to maintain the US' global lead in AI, but they have not prevented China from accessing the necessary chips. Chinese vendors are developing their own high-performing models, and the country's chip industry is gaining momentum. The open question is cost, as training on Chinese chips usually takes more time and more engineering. Huawei is China's top Nvidia competitor, and it is reportedly training its next major AI model on Huawei chips.

The US export restrictions are intended to maintain the US' global lead in AI, but they have not prevented China from accessing the necessary chips.

Chinese vendors are developing their own high-performing models, and the country's chip industry is gaining momentum.

The open question is cost, as training on Chinese chips usually takes more time and more engineering.

Huawei is China's top Nvidia competitor, and it is reportedly training its next major AI model on Huawei chips.

The competition between US and Chinese AI vendors has implications for national security.

Interactive Mechanism

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Model Parameter Size:8B Parameters
VRAM Required5.5 GBGPU memory footprint
Target HardwareMacBook / Single GPUDeployment tier
Privacy100% Air-GappedLocal device capability
Core takeaway: Small, quantized models (3B–8B) now run directly inside smartphones and laptops with complete data privacy, while mammoth 400B+ models remain the domain of datacenter clusters.
Interactive Concept Check+10 Points
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What to watch next

The development of China's chip industry and its impact on the global AI landscape. The use of Nvidia chips in China and the potential for smuggling or loopholes. The competition between US and Chinese AI vendors and the implications for national security.

The development of China's chip industry and its impact on the global AI landscape.

The use of Nvidia chips in China and the potential for smuggling or loopholes.

The competition between US and Chinese AI vendors and the implications for national security.

The cost of training AI models on Chinese chips and the potential for Huawei to become a major player in the AI market.

The implications of the US export restrictions on the global AI industry and the potential for China to become a major player in the field.

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