Chinese AI firms seek overseas Nvidia computing capacity over fears of U.S. curbs
Reuters describes internal discussions and approaches to data-center operators, while a reported U.S. licensing proposal would put new conditions on overseas chip access.
Overseas data-center rentals let Chinese developers use advanced Nvidia processors without importing them, but reported inquiries have not produced confirmed reservations. Reuters’ sources said a major Chinese cloud provider discussed locking in capacity and other firms contacted operators amid concern that Washington may restrict remote access. Separately, a U.S. rule reported as still being finalized would require licenses for Blackwell-or-newer shipments to providers in seven countries, with an exemption for U.S.-operated centers that block access from restricted countries. Whether the proposal becomes policy remains uncertain.
01
The reported licensing requirement would cover cloud providers in Singapore, Malaysia, Thailand, Brazil, Indonesia, Norway, and South Africa.
02
The proposal would also require companies to disclose chip recipients and intended uses to the Commerce Department.
03
U.S.-operated data centers could avoid licensing if they blocked remote access for customers in restricted countries such as China.
Chinese AI companies are trying to secure Nvidia-powered computing capacity outside China as they fear Washington could tighten access to advanced processors. Reuters reported on November 12, citing three people familiar with the matter, that firms were exploring overseas rentals—a route that lets them use chips they cannot import directly.
A feared policy response prompts capacity inquiries
The concern, according to Reuters’ sources, was that the scandal involving Jensen Huang could prompt tighter U.S. restrictions on remote use of advanced processors. They linked the capacity search to that possible policy response.
A major Chinese cloud provider had discussed internally whether to lock in Nvidia computing capacity overseas. Some companies had contacted data-center operators about reserving it. These were discussions and inquiries, not confirmed capacity reservations.
The people who spoke to Reuters declined to identify themselves or name the cloud provider because the matter was sensitive.
Renting the computing power, not importing the chips
Washington restricts exports to China of Nvidia’s most advanced AI chips. Chinese companies can nevertheless access those processors remotely by renting computing power at overseas data centers. The hardware stays abroad while customers pay to use its computing capacity.
A reported licensing rule would change the terms
Gizmodo, citing The Information’s November 11 reporting, said the Commerce Department was finalizing a rule intended to make remote access harder for Chinese AI developers. The measure was described as being finalized, not as an enacted restriction. Its reported structure combines licensing, disclosures and a conditional exemption:
Licenses for chip deliveries: Local cloud providers in Singapore, Malaysia, Thailand, Brazil, Indonesia, Norway and South Africa would need U.S. government permission before receiving Nvidia Blackwell chips or more advanced models.
Recipient and use disclosures: Companies would have to submit reports to Commerce identifying who would receive the chips and what they would be used for.
A conditional exemption: U.S.-operated data centers would avoid the licensing requirement if they blocked remote access for customers in restricted countries such as China.
Nvidia has argued against that approach. Gizmodo said the company had opposed the rule through lobbying, warning that blocking remote access could push China to accelerate its own chipmaking efforts and potentially gain an advantage in AI. That is Nvidia’s forecast, not an established outcome.
Sources
japantimes.co.jpChinese AI firms rush to secure Nvidia chip capacity as scandal stirs fear of curbs
gizmodo.comChinese AI Firms Scramble for Nvidia Chips After Huang Exit
Reader comments
Newest comments first. Replies stay oldest first.