Nvidia reports record annual revenue of $215.9 billion, equal to £159.1 billion. The company defies investor concerns about massive spending on artificial intelligence. In the final quarter, sales jump 73% year on year, far exceeding analyst forecasts.
CEO Jensen Huang highlights the soaring 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 Strengthens Its Leadership in AI Infrastructure
Nvidia becomes the world’s most valuable publicly traded company, with a market value near $4.8 trillion. The company drives global AI development, supplying advanced chips to developers including OpenAI and Meta.
Gene Munster of Deepwater Asset Management expects the growth to continue. AI is advancing faster than most people realize, he writes on X. He emphasizes that users of AI tools grasp 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 rising client interest.
Geopolitical Pressures Affect China Revenue
Nvidia navigates US-China tensions that influence 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 announcement underscores strict export controls and geopolitical sensitivity.
Expansion Into Autonomous Vehicles and Robotics
Nvidia broadens its product portfolio to drive growth. The company increases its 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 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 consolidating market leadership.
