Chinese artificial intelligence companies are rushing to secure access to Nvidia-powered computing capacity at overseas data centres as concerns grow that Washington could tighten restrictions on China’s access to advanced AI processors. The companies are exploring ways to reserve computing resources outside China before potential changes to US export-control rules make remote access more difficult.
The scramble follows renewed political scrutiny of Nvidia and its chief executive, Jensen Huang, amid allegations involving a suspected Chinese intelligence asset. The controversy has added to concerns that US lawmakers could push for stronger restrictions on the use of advanced American chips by Chinese companies. Reuters reported on November 12 that a major Chinese cloud provider had discussed securing overseas Nvidia capacity, while smaller AI developers were also approaching data-centre operators, including providers in Southeast Asia.
Chinese AI Companies Seek Nvidia Computing Power Overseas
According to people familiar with the matter cited by Reuters, several Chinese technology companies are exploring ways to reserve Nvidia-powered computing capacity at data centres located outside China.
A major Chinese cloud provider has reportedly discussed internally whether to lock in overseas capacity. Other companies have contacted data-centre operators to explore reservations, while smaller AI laboratories are considering renting computing resources from providers in Southeast Asia.
The companies are attempting to protect their access to high-performance computing infrastructure amid uncertainty over future US restrictions.
Rather than importing Nvidia processors directly into China, businesses can rent computing capacity from overseas data centres. This allows developers to use powerful processors remotely through cloud-based services.
The approach has become particularly important as Chinese AI companies compete to train and operate increasingly sophisticated models. Advanced GPUs are essential for processing large datasets, training neural networks and running generative AI applications at scale.
However, this route could become more difficult if US authorities introduce rules covering remote access to restricted computing technology.
Remote Access Security Act Raises Concerns
One of the major concerns among Chinese companies is the proposed Remote Access Security Act, or RASA.
The legislation would give the US Department of Commerce greater authority to regulate remote, cloud-based access to restricted technology. Its provisions could make it harder for companies in China to rent computing power from overseas data centres equipped with advanced American processors.
The US House of Representatives passed the bill in January by 369 votes to 22. It is awaiting action in the Senate.
Currently, US export controls restrict the sale of certain advanced Nvidia AI processors to Chinese customers. However, renting computing resources located in another country has provided an alternative route for accessing some of the technology.
If the proposed legislation becomes law, US authorities could gain additional tools to address this route. The precise impact would depend on the final legislation, its implementation and the types of services covered.
For Chinese AI companies, the possibility of tighter rules creates an incentive to secure computing capacity before regulatory uncertainty increases.
Jensen Huang Controversy Adds to Washington’s Scrutiny
The latest rush for overseas computing capacity comes amid controversy surrounding Nvidia CEO Jensen Huang.
Huang said on November 8 that he had been unfaithful to his wife. The New York Times subsequently reported that the woman involved was Alice Huang, a former executive at Singapore-based cloud-computing company Megaspeed, and that US authorities had concluded she was a Chinese intelligence asset.
Reuters said it could not independently verify the intelligence allegation. China has denied the claim.
The controversy has attracted attention because Megaspeed has faced scrutiny over suspicions that it helped Chinese customers access advanced Nvidia chips subject to US export restrictions. The company has denied illegally diverting chips to China.
Reuters also reported that Alice Huang had business and investment ties with several Chinese technology companies, including Tencent and Alibaba, according to people familiar with the matter. The companies did not immediately respond to requests for comment.
The allegations have not established that Nvidia or its chief executive participated in any illegal transfer of chips. Nevertheless, the controversy has added political sensitivity to an already contentious debate over China’s access to advanced computing technology.
Grey-Market Buyers Also Stockpile Nvidia Chips
The uncertainty is not limited to cloud computing.
Reuters reported that traders and intermediaries in China’s grey market have started stockpiling restricted Nvidia AI processors amid fears that Washington could intensify enforcement against chip smuggling and unauthorised transfers.
The development highlights the continuing demand for Nvidia hardware among Chinese technology companies, despite restrictions on exports of the most advanced processors.
One example cited by Reuters involved a Chinese university with deep links to the People’s Liberation Army. Procurement records reportedly showed that the institution purchased Nvidia H200 AI chips in October despite being on a US export blacklist.
The case illustrates the challenges facing American authorities as they attempt to prevent restricted technology from reaching organisations in China.
Separately, US prosecutors charged Super Micro Computer co-founder Yih-Shyan “Wally” Liaw and two others in March with conspiring to divert servers containing Nvidia processors to China through a Southeast Asian company.
Prosecutors alleged that the company purchased approximately $2.5 billion worth of servers from Super Micro between 2024 and 2025, with a substantial portion subsequently diverted to China. The defendants have not been convicted, and the allegations remain subject to legal proceedings.
Nvidia Chips Remain Critical to China’s AI Ambitions
Nvidia processors are widely used to train and operate large AI models. Their performance, software ecosystem and ability to work together in large computing clusters have made them important infrastructure for the global AI industry.
For Chinese developers, access to high-performance GPUs is particularly important as domestic technology companies compete to build advanced models and expand AI applications across businesses.
US export restrictions have encouraged Chinese companies to explore alternatives, including domestic processors and overseas computing infrastructure.
Companies such as Huawei have benefited from China’s push towards homegrown semiconductor technology. However, domestic chipmakers continue to face challenges in matching the performance and manufacturing capabilities of leading international products.
This has created a complicated environment for Chinese AI developers. They must balance the need for powerful computing infrastructure with regulatory restrictions, supply limitations and pressure to adopt domestic technology.
The overseas cloud route offers access to hardware that may not be available through direct imports, but it also creates exposure to changes in US rules governing technology and services.
Previous Nvidia Orders Highlight Strong Chinese Demand
The latest developments follow a separate report by Reuters in October that ByteDance, Alibaba and Tencent had placed orders for more than three million Nvidia RTX PRO 5500 graphics cards, with a combined potential value exceeding $35 billion.
These cards are less powerful than the advanced data-centre processors used in large AI clusters, but they are among the more capable Nvidia products available to Chinese buyers under existing restrictions.
Nvidia reportedly warned customers and partners that it could not guarantee full deliveries because demand from Chinese technology companies exceeded planned production.
The orders demonstrate that demand for Nvidia hardware remains substantial even as Washington restricts access to its most advanced AI processors.
They also underline the supply challenges facing Chinese companies. Securing access to computing infrastructure is not simply a matter of finding a supplier; companies must also contend with production capacity, export licences and the availability of suitable data-centre facilities.
The Bigger Picture
The scramble for overseas Nvidia computing capacity highlights a growing weakness in traditional export-control systems. Restricting the physical shipment of advanced processors does not necessarily prevent access to their computing power when those processors are installed in data centres outside the restricted country. Cloud services have therefore become an important part of the geopolitical debate over advanced AI technology.
For the United States, the challenge is to protect its technological advantage without undermining the competitiveness of its own semiconductor and cloud industries. For China, the priority is to maintain access to the computing resources needed to develop advanced AI models while accelerating domestic chip production. Any new restrictions on remote access could intensify this competition and reshape the international AI infrastructure market.
Looking Ahead
The immediate focus will be on whether the US Senate advances the Remote Access Security Act and how the Commerce Department might use additional authority if the legislation becomes law. Chinese companies are likely to continue evaluating overseas cloud providers, domestic processors and other sources of computing capacity as they prepare for possible regulatory changes. The extent of any disruption will depend on the final rules and their enforcement.
The developments also put pressure on Nvidia, whose products remain central to the global AI industry but are increasingly caught between commercial demand and national security concerns. As governments seek greater control over where advanced processors can be used, access to computing power could become as strategically important as access to the chips themselves.
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SEO Title: Chinese AI Firms Rush to Secure Nvidia Chips Amid US Curbs
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