Key Takeaway
Nvidia’s H20 chips, designed for the Chinese market, are under U.S. government scrutiny for export licenses, with approvals beginning late July. While some Chinese companies have secured permits, Nvidia has not yet shipped any chips. The U.S. demands a 15% revenue share from H20 sales under license. Nvidia has not included H20 shipments in its quarterly guidance and seeks clearance for its Blackwell chips in China. Despite export restrictions aimed at limiting China’s military advancements, demand for Nvidia’s processors remains strong, driven by investments in AI data centers and cloud services from major tech firms.
These chips were specifically created for the Chinese market to navigate export controls.
Inside H20 chip licenses under US government review
Nvidia executives report that Washington began examining licenses for the sale of its H20 processors to Chinese buyers towards the end of July.
While a few companies based in China have recently obtained those permits, Nvidia has yet to deliver a single chip.
Complicating matters, the US government is requiring a 15% share of any revenue generated from H20 sales conducted under license.
Currently, Nvidia has not included H20 shipments in its latest quarterly guidance. The company is also still pursuing approval to sell its newer Blackwell chips in China – a market that continues to be the world’s largest consumer of semiconductors.
This situation highlights the delicate balancing act faced by global chipmakers. Export restrictions aim to prevent advanced processors from enhancing China’s military capabilities, yet they are also disrupting the business models of companies dependent on international demand.
Despite this, the demand for Nvidia hardware remains strong.
Major tech firms continue to invest significantly in AI data centers and cloud capacity, driving relentless demand for the company’s most powerful processors.
Growing investment bubble concerns
Cloud giants like AWS and Microsoft Azure are increasingly turning to powerful chips to handle the surge in AI workloads.
Social media platforms are relying on AI for recommendation engines and real-time content moderation, while even long-established software providers are racing to integrate AI features into their products.
