Nvidia is confronting one of the biggest strategic challenges in its history after Chief Executive Officer Jensen Huang acknowledged that the company’s once-dominant position in China’s artificial intelligence market has effectively disappeared.

Speaking about Nvidia’s business in China, Huang revealed that the company, which previously controlled more than 90% of China’s AI accelerator market, now holds virtually no market share following expanded U.S. semiconductor export restrictions.

China had long represented one of Nvidia’s largest international markets, generating nearly $20 billion in revenue last year, or roughly 9% of total company sales. However, tighter export controls have sharply reduced shipments of advanced AI processors, causing China revenue to decline significantly. Nvidia has also indicated that expected sales from its H200 processors in China have not yet contributed to current financial guidance.

Despite losing access to one of the world’s largest AI markets, Nvidia continues to deliver exceptional financial performance by rapidly expanding into new product categories and infrastructure opportunities.

Vera CPUs Open a New Growth Engine

Rather than relying solely on graphics processing units (GPUs), Nvidia is now aggressively entering the central processing unit (CPU) market through its Vera platform.

Management expects Vera CPUs to generate approximately $20 billion in revenue this year, effectively replacing the amount of business previously generated in China. The move represents one of the company’s most significant product expansions in decades and positions Nvidia to compete directly with long-established CPU providers including Intel and Advanced Micro Devices.

Unlike traditional processors, Vera CPUs are designed to work seamlessly alongside Nvidia’s GPUs, networking technologies, and AI software, creating fully integrated computing systems optimized for large-scale artificial intelligence applications.

This ecosystem approach strengthens Nvidia’s competitive advantage by allowing customers to purchase complete AI infrastructure rather than individual components.

AI Infrastructure Continues Driving Record Growth

Nvidia’s expansion into CPUs comes as global demand for AI infrastructure continues accelerating.

The company’s data center business nearly doubled during the latest quarter, generating approximately $75 billion in revenue as hyperscale cloud providers and enterprise customers continue investing heavily in AI computing capacity.

Later this year, Nvidia plans to introduce its Vera Rubin computing platform, designed specifically for advanced reasoning models and agentic artificial intelligence applications. The new architecture combines multiple specialized chips into a unified platform capable of delivering substantially higher inference performance than previous generations.

As enterprises increasingly deploy complex AI models, integrated computing systems combining CPUs, GPUs, networking, and software are becoming central to next-generation data center design.

Strong Earnings Outlook Supports Long-Term Growth

Despite geopolitical headwinds, Wall Street continues to forecast another record year for Nvidia.

Analysts currently expect fiscal-year revenue to climb approximately 81% to nearly $391 billion, reflecting sustained demand across cloud computing, enterprise AI, and hyperscale infrastructure markets.

Consensus earnings estimates also remain strong, highlighting investor confidence that Nvidia’s diversified AI platform can continue expanding even without meaningful contributions from China in the near term.

The company’s valuation also remains attractive relative to projected earnings growth. Trading at roughly 22 times forward earnings while analysts anticipate annual earnings growth near 45%, many investors view Nvidia as maintaining favorable long-term growth characteristics despite ongoing regulatory uncertainty.

Looking Ahead

Although export restrictions have effectively eliminated Nvidia’s AI business in China for now, the company has demonstrated its ability to redirect growth toward new markets and technologies. Its expansion into CPUs, integrated AI infrastructure, and next-generation computing platforms reflects a broader strategy of becoming a full-stack artificial intelligence provider rather than solely a graphics chip manufacturer.

While geopolitical developments will continue influencing Nvidia’s international opportunities, future growth is increasingly expected to come from AI infrastructure, hyperscale cloud deployments, enterprise computing, and advanced AI platforms such as Vera Rubin. If adoption continues at its current pace, Nvidia appears well positioned to offset lost regional revenue while reinforcing its leadership across the global artificial intelligence ecosystem.