U.S. Blocks Nvidia’s Scaled-Down AI Chip Sales to China

November 08, 2025
The White House has decided to block Nvidia from selling its B30A AI chip to Chinese customers, halting the company's latest attempt to comply with export restrictions.

The White House has informed federal agencies that it will not allow Nvidia to sell its latest scaled-down AI chip, the B30A, to China. The decision prevents the company from distributing samples already provided to several Chinese clients.

The B30A chip is designed for training large language models when deployed in large computing clusters, a capability sought by many Chinese technology firms. Nvidia developed the chip as a lower-performance version of its advanced AI processors to comply with U.S. export controls.

A company spokesperson stated that Nvidia currently holds no market share in China’s data center compute sector and does not include the region in its financial guidance. Despite the restriction, Nvidia is reportedly working on modifying the B30A’s design in hopes that the U.S. administration may reconsider its position.

The move comes as Chinese authorities have introduced new rules requiring state-funded data centers to use only domestically produced chips. Projects still under construction must remove foreign processors or cancel purchases, further limiting Nvidia’s access to one of its key international markets.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like AI Policy Brief, Silicon Brief or Daily AI Brief.

Subscribe to AI Policy Brief

Weekly report on AI regulations, safety standards, government policies, and compliance requirements worldwide.

Market report

AI’s Time-to-Market Quagmire: Why Enterprises Struggle to Scale AI Innovation

ModelOp

The 2025 AI Governance Benchmark Report by ModelOp provides insights from 100 senior AI and data leaders across various industries, highlighting the challenges enterprises face in scaling AI initiatives. The report emphasizes the importance of AI governance and automation in overcoming fragmented systems and inconsistent practices, showcasing how early adoption correlates with faster deployment and stronger ROI.

Read more