More than $3 billion worth of artificial intelligence computing projects across China face uncertainty because they were designed around advanced Nvidia processors that are subject to US export restrictions. A Reuters review of more than 150 Chinese procurement notices, investment plans, construction contracts and corporate disclosures identified projects and equipment agreements worth over 23 billion yuan ($3.2 billion).
The findings highlight the continuing demand for Nvidia’s AI hardware in China despite Washington’s efforts to restrict access to advanced American semiconductor technology. The situation has become more complicated following Nvidia co-founder Jensen Huang’s resignation as chief executive on November 12, 2026, amid increased scrutiny involving a former executive associated with one of the company’s cloud partners. Together, the developments raise questions about chip availability, regulatory enforcement and the future of China’s AI infrastructure investments.
More Than $3.2 Billion in Chinese AI Projects Identified
The Reuters investigation found that Nvidia technology remains deeply embedded in China’s AI infrastructure plans. The projects extend beyond major technology companies to include local government-backed ventures, universities, regional computing centres and infrastructure developers.
The combined value of the identified projects exceeds 23 billion yuan, equivalent to approximately $3.2 billion. However, this figure does not represent the amount spent specifically on Nvidia processors.
Instead, the estimate includes a broader range of investments, including data-centre buildings, power systems, equipment agreements, signed contracts and planned infrastructure. Some projects have already been completed, while others remain under construction or are still at the planning and procurement stages.
This distinction is important because the reported value represents the overall scale of the computing infrastructure associated with Nvidia hardware, rather than confirmed purchases of restricted chips.
The investigation also identified projects across China’s wealthy coastal technology regions and less-developed western provinces, demonstrating how demand for advanced AI computing has spread geographically.
Restricted Nvidia H100, H200 and H800 Chips at the Centre
Several Chinese computing projects were designed around Nvidia’s advanced AI processors, including the H100, H200 and H800.
These processors are used in demanding computing workloads such as training large AI models, running inference systems and operating large-scale data centres.
| Nvidia processor | Relevance to Chinese projects |
|---|---|
| H100 | Advanced AI computing processor used in data-centre projects |
| H200 | High-performance AI processor subject to US export licensing restrictions |
| H800 | Modified processor previously designed for the Chinese market before tighter restrictions |
The H100 and H200 are particularly important for organisations building large AI computing clusters. Such clusters combine multiple processors to handle the enormous computing requirements of modern AI models.
The H800 was developed as a modified product for the Chinese market after earlier US restrictions affected more advanced processors. Washington subsequently tightened controls on modified chips as well.
Reuters identified a facility in northwestern China’s Gansu province that was expected to install thousands of Nvidia processors before the end of 2026. However, it remains unclear whether those processors actually arrived.
The uncertainty surrounding such projects illustrates the difference between planning infrastructure around a particular chip and successfully obtaining the hardware required to operate it.
Jensen Huang’s Departure Adds to Nvidia’s China Challenges
Huang’s resignation adds another layer of uncertainty to an already complicated relationship between Nvidia and the Chinese market.
The Nvidia co-founder had been a prominent advocate of allowing the company to continue selling certain AI processors to Chinese customers. His argument was that maintaining access to the Chinese market would help American technology companies compete globally and keep customers dependent on US-developed hardware.
Huang had previously said Nvidia’s market share in China had fallen from 95% to zero. The company also excluded Chinese data-centre computing revenue from its forecasts because of regulatory uncertainty.
His departure could weaken Nvidia’s ability to influence discussions in Washington about export restrictions. US lawmakers have continued to push for tighter controls on advanced AI processors reaching Chinese organisations.
However, the resignation does not automatically mean that all Chinese projects dependent on Nvidia technology will be cancelled. Their immediate challenges are more directly connected to export licences, chip availability, existing inventories and the possibility of alternative hardware.
The leadership change could nevertheless make the regulatory environment more difficult for customers and developers hoping to obtain Nvidia processors in the future.
US Export Controls Complicate China’s AI Infrastructure Expansion
The United States began restricting exports of Nvidia’s advanced AI processors to China in 2022. Washington subsequently expanded restrictions to cover modified chips developed specifically to comply with earlier export rules.
In January 2026, the Trump administration moved to review export licences for eligible Chinese customers seeking Nvidia H200 processors individually, subject to conditions.
These restrictions create uncertainty for Chinese companies planning large AI infrastructure investments. A project may receive funding, secure construction contracts and prepare its facilities, but still face difficulties obtaining the processors needed to operate.
The situation also creates challenges for infrastructure developers that have already committed money to buildings, electricity systems, cooling equipment and networking hardware.
If restricted Nvidia processors cannot be obtained, some operators may have to delay installations or redesign their facilities around alternative processors.
Such changes could involve additional engineering work, software adjustments and new equipment procurement. They may also affect project economics, particularly when infrastructure has been designed around a specific hardware platform.
Nvidia’s Market Position in China Remains Complicated
Despite US restrictions, Nvidia’s position in China’s AI accelerator market is more complicated than the company’s direct sales figures suggest.
Nvidia said in an August 2026 filing that it was effectively excluded from China’s data-centre computing market. However, an IDC report cited by Reuters estimated that Nvidia still accounted for 34% of Chinese AI accelerator shipments during the first half of 2026.
These figures measure different things and should not be treated as contradictory estimates of the same market activity. Nvidia’s statement concerns its ability to compete and sell directly in China, while IDC’s estimate measures shipments across the broader market.
The Reuters investigation also does not establish how every restricted processor identified in Chinese project documents reached its eventual user.
The distinction matters because procurement plans, equipment contracts and completed installations do not necessarily establish that every planned processor was delivered through an authorised or unauthorised supply channel.
US Scrutiny of Nvidia’s Cloud Partner Adds Regulatory Pressure
The developments surrounding Huang have also drawn attention to Megaspeed, a Singapore-based cloud partner associated with Nvidia.
The company has faced scrutiny over allegations that advanced Nvidia processors were diverted to Chinese users in violation of US export controls. Megaspeed has denied illegally diverting chips to China.
The controversy intensified following allegations involving Alice Huang, a former Megaspeed executive whom US authorities reportedly suspect of having intelligence ties to Beijing.
Nvidia’s board launched an independent investigation into whether Jensen Huang had been targeted by a foreign intelligence operation. The board said it had no reason to believe company secrets or US national security had been compromised.
There has been no public finding that Jensen Huang violated export-control laws. Reuters also reported that the Chinese AI projects identified in its investigation have not been linked to Megaspeed or the allegations involving Huang.
This distinction is important: the broader regulatory scrutiny surrounding Nvidia should not be interpreted as evidence that the projects identified in China were involved in illegal chip transfers.
The Bigger Picture
The $3.2 billion pipeline demonstrates how deeply advanced Nvidia processors have become part of China’s AI infrastructure ambitions. Even as US export restrictions limit direct access to certain products, Chinese organisations continue to plan data centres and computing facilities around the company’s technology.
For Washington, the challenge is enforcing restrictions across complex international supply chains while monitoring not only the original buyers but also the organisations that ultimately use the computing capacity. The investigation highlights why procurement records, cloud infrastructure providers and end-user verification have become important parts of the export-control debate.
For China, the uncertainty reinforces the importance of developing domestic AI processors and reducing dependence on foreign semiconductor suppliers. However, replacing established Nvidia hardware may require more than simply purchasing alternative chips. Developers may also need to adapt software, networking systems and data-centre designs.
Looking Ahead
The future of the identified projects will depend on whether their developers can obtain the required processors, secure regulatory approvals or transition to alternative hardware. Projects that have already invested heavily in Nvidia-compatible infrastructure could face delays or additional costs if their original equipment plans become unworkable.
Nvidia’s leadership transition and continuing US scrutiny will also shape the company’s ability to navigate the Chinese market. The broader issue extends beyond one executive or one chipmaker: access to advanced AI processors has become a central factor in the technology competition between Washington and Beijing, with billions of dollars in infrastructure investments potentially affected by decisions on both sides.
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