Nvidia CEO Jensen Huang has confirmed that China remains part of the company’s projected $200 billion CPU market opportunity. This signals the tech giant’s continued commitment to one of the world’s largest AI markets. It does so despite ongoing U.S.-China semiconductor restrictions.
Speaking during a media and investor briefing at Computex 2026 in Taiwan, Huang emphasized that Nvidia sees massive growth potential in CPUs. These CPUs are designed for the next wave of “agentic AI” systems. In fact, these are AI models capable of acting autonomously rather than simply responding to prompts.
The announcement comes as Nvidia rapidly expands beyond GPUs and into the CPU market with its new Vera CPU platform. This platform is designed to work alongside Rubin GPUs for AI infrastructure deployments. Furthermore, Nvidia CFO Colette Kress recently stated that the company expects nearly $20 billion in CPU revenue this year alone.
China Remains Critical to Nvidia’s AI Strategy
Despite export controls imposed by the United States on advanced AI chips, Huang reiterated that China remains an important market for Nvidia’s long-term growth plans.
The company’s inclusion of China in its CPU market forecast suggests Nvidia expects continued demand from Chinese enterprises, cloud providers, and AI developers. This comes as the country accelerates investments in artificial intelligence infrastructure.
Recent reports suggest the U.S. government has given the green light to limited export licenses for Nvidia H200 AI chips to certain Chinese companies. However, shipments are said to be still waiting for regulatory approvals from Chinese authorities.
Meanwhile, Nvidia is facing increasing competition in China from domestic companies like Huawei. Huawei is aggressively expanding its AI chip business as Beijing pushes for semiconductor independence.
Nvidia’s Big Bet on AI CPUs
Nvidia’s greater focus on CPUs is a dramatic change of course. Once known for owning the GPU market, the company now sees CPUs as a huge new source of revenue driven by AI computing workloads.
The Vera CPU platform is specifically optimized for AI inference and agentic AI applications. It offers improved performance-per-watt and tighter integration with Nvidia’s AI ecosystem.
According to Nvidia executives, every major hyperscaler and system manufacturer is already working with the company. They aim to deploy Vera CPUs in large-scale AI data centers.
This daring step into the space of CPUs could place Nvidia as a natural rival to long-standing processor giants such as Intel and AMD.
Demand for AI Infrastructure Keeps Growing
Nvidia’s entry into the CPU market is happening amid a boom in global spending on AI infrastructure. The company recently reported record quarterly revenue of more than $81 billion. This was largely fueled by demand for AI chips and data center hardware.
Industry analysts believe agentic AI systems, autonomous AI agents, and advanced inference workloads will require increasingly sophisticated combinations of CPUs, GPUs, networking, and memory infrastructure. This creates enormous opportunities for companies like Nvidia.
With China still representing a critical component of global AI demand, Nvidia appears unwilling to walk away from the market. This is true even amid geopolitical uncertainty.
For now, Huang’s message is clear: Nvidia sees the future of AI infrastructure as global — and China remains part of that vision.
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