According to a report by the Financial Times, the company has stopped manufacturing the chips—its second-most advanced AI processors—for China and redirected production capacity toward newer hardware platforms. The decision reflects both regulatory pressure and Nvidia’s long-term technology roadmap.
Manufacturing Capacity Redirected
The report indicates that Nvidia has reallocated manufacturing resources at Taiwan Semiconductor Manufacturing Company (TSMC), the world’s largest contract chipmaker. Instead of continuing to produce H200 processors for China, those fabrication lines are now being used for the development and production of Nvidia’s next-generation AI architecture, known as Vera Rubin.
Two sources familiar with the matter told the Financial Times that this shift suggests Nvidia is prioritizing its upcoming AI platforms over the uncertain prospects of selling high-end chips into the Chinese market.
Neither Nvidia nor TSMC immediately responded to requests for comment, and the report has not been independently verified by Reuters.
Limited Sales Prospects in China
The move comes just days after Nvidia disclosed that it had obtained U.S. government licenses allowing it to ship “small amounts” of H200 chips to Chinese customers. However, the reported halt in production indicates the company may not anticipate significant near-term demand or approval volumes for the product in China.
A U.S. Commerce Department official previously stated that none of Nvidia’s H200 chips had yet been sold to Chinese buyers, highlighting the continuing regulatory bottlenecks surrounding advanced semiconductor exports.
Ongoing Export Controls
Restrictions on advanced chips remain a key element of the technology rivalry between the United States and China. Earlier this year, the administration of Donald Trump formally cleared certain China-bound sales of the H200 processors. Even so, shipments have remained largely stalled due to strict compliance guardrails and licensing requirements attached to the approval process.
The H200 chips are designed to power large-scale artificial intelligence workloads such as training and running advanced generative AI models. Their potential use in high-performance computing and national security applications has made them a focal point of U.S. export controls.
Strategic Shift Toward Next-Generation AI Chips
By redirecting manufacturing capacity toward its next-generation architecture, Nvidia appears to be doubling down on future AI infrastructure while navigating the complexities of global chip regulations.
The decision underscores the increasingly strategic role of semiconductor supply chains in the global AI race, where technological innovation, national policy, and international trade are becoming deeply intertwined.