Friday, June 26, 2026
EN·DarkSubscribe
AI Infrastructure · News & Analysis
HomeChips & HardwareReport
Chips & Hardware · Report

Chinese companies are adopting Nvidia H200 AI chips for infrastructure deployment.

Demonstrates rapid H200 adoption despite US export controls, showing strong Chinese demand for advanced Nvidia hardware.
Trade pressSlicast · December 11, 2025 · Global · Source: thehindu.com
importance 75

U.S. President Donald Trump's move to allow exports to China of Nvidia's second-best artificial intelligence chip, the H200, will spur strong demand from the country's tech giants, research institutes, and its defence-industrial complex. Although Beijing has not yet confirmed whether it will allow the chip to be sold in China, a Reuters review of more than 100 tenders and academic papers shows it is already being supplied to domestic buyers via the grey market. The H200 is many times more powerful than any chip Nvidia is allowed to sell there, and the analysis reveals the nature of customers in China who will eagerly pursue legal bulk buys of this technology.

China's leading universities have already begun acquiring H200 chips for AI research and development. One professor at Beijing Jiaotong University advertises that his laboratory owns eight H200 chips for AI model research. Researchers at the state-backed Shanghai Artificial Intelligence Laboratory and the Sun Yat-Sen, Tsinghua, and Shanghai Jiao Tong universities used four Nvidia H200 processors to train an AI model designed to detect whether an image is AI-generated, as shown in a paper published last month. A state-run AI institute in the eastern city of Hefei issued a tender for a server equipped with eight Nvidia H200 chips to power a "quantum AI model" project. Dozens of universities and research institutes nationwide have bought or sought to acquire H200 chips, with China's leading universities all having research teams focused on AI development, and the number of high-end chips they have directly affecting talent recruitment and research capabilities.

The Reuters review suggests H200 chips are already making their way into the hands of the People's Liberation Army and closely-linked universities. In August, the PLA Air Force Medical University in Xian issued a tender for eight Nvidia H200 chips to train a large-language model training platform to support medical AI and biosurveillance research. On Monday, the School of Cyberspace Security at Beihang University, one of China's "Seven Sons"—universities under U.S. sanctions with a history of defence-related research—issued a tender seeking a supplier that could rent out H200-level computing power. Chinese entities increasingly rent usage time on servers fitted with banned Nvidia chips as a way to access restricted hardware without importing it directly.

Major infrastructure projects across China reveal ambitious plans for H200 deployment. In the eastern province of Jiangsu, a firm owned by the Binhai county government issued a tender in July for 48 servers equipped with 384 H200 chips, with deliveries due by year-end. In the far western region of Xinjiang, a June 6 tender by Urumqi Jiangsuan outlines a plan for a 20,000-petaflop hub combining more than 8,000 H200 GPUs, 12,000 RTX 4090 GPUs and 4,500 servers fitted with Huawei Ascend 910C processors, the most powerful domestic AI chip now available. A separate 1.86-billion-yuan project in Burqin county in northern Xinjiang, unveiled in October 2024, details a green-energy compute centre dominated by 1,000 domestic chip servers but supplemented by a smaller H100 or H200 chip cluster of 100 servers. In the central province of Hubei, Xiaogan Yunqi Data Technology submitted a regulatory filing in October for a computing power project worth 307 million yuan, to deploy 128 H200 servers for telecoms giant China Unicom by next March. The H200's less powerful predecessor, the H100, has been banned from export to China since late 2022.

Read the original
Chinese companies are adopting Nvidia H200 AI… · Slicast