Nvidia reports record annual revenue of $215.9 billion, equivalent to £159.1 billion. The company defies investor concerns over massive spending on artificial intelligence. In the final quarter, sales jump 73% year on year, well above analyst forecasts.
CEO Jensen Huang points to surging demand for computing power. Computing demand is growing exponentially, he says. Customers rush to expand AI compute infrastructure. He calls these systems the factories of the AI industrial revolution. Huang ties them directly to long-term business growth.
Nvidia Dominates the Global AI Infrastructure Market
Nvidia becomes the world’s most valuable publicly traded company, with a market value near $4.8 trillion. The company drives global AI development, providing advanced chips to developers including OpenAI and Meta.
Gene Munster of Deepwater Asset Management expects the growth trend to continue. AI is advancing faster than most people realize, he writes on X. He emphasizes that users of AI tools understand the pace of change better than outside observers.
Investors continue to monitor Nvidia’s expanding network of deals. Critics warn of potential circular financing, suggesting investments in partner companies may overstate real AI demand. Nvidia counters by highlighting strong orders and robust client interest.
Geopolitical Tensions Shape China Revenue
Nvidia navigates US-China tensions affecting chip sales. Its latest guidance does not include detailed revenue projections for China. Last month, the US approved conditional sales of Nvidia’s H200 chips to Chinese customers. The H200 is Nvidia’s second-most advanced processor.
A US Commerce Department official informs lawmakers that no H200 chips have reached China yet. The statement underscores strict export controls and political sensitivity.
Expansion into Autonomous Vehicles and Robotics
Nvidia broadens its product portfolio to drive growth. The company increases involvement in AI-powered physical products. At CES in Las Vegas, Huang unveils a platform for self-driving vehicles.
He introduces an open-source AI model called Alpamayo, designed to bring reasoning capabilities to autonomous cars. Nvidia also plans to launch a robotaxi service next year with an undisclosed partner.
While Nvidia dominates AI model training, competition grows in inference computing. Inference applies trained AI models to real-world data for reasoning. In the fourth quarter, Nvidia acquires Groq for $20 billion, strengthening its inference expertise and reinforcing its market leadership.
