Nvidia reports record annual revenue of $215.9 billion, equal to £159.1 billion. The company outperforms investor concerns about heavy spending on artificial intelligence. In the final quarter, sales jump 73% year on year, exceeding analyst forecasts by a wide margin.
CEO Jensen Huang points to explosive 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 links them directly to long-term business growth.
Nvidia Strengthens Its Lead in Global AI
Nvidia becomes the world’s most valuable publicly traded company, with a market value near $4.8 trillion. The company drives the global AI ecosystem, supplying 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 many realize, he writes on X. Users of AI tools understand the pace of change more clearly than outside observers, he adds.
Investors keep a close watch on Nvidia’s expanding network of deals. Critics warn about potential circular financing, suggesting the company’s investments in partners may exaggerate real AI demand. Nvidia points to strong orders and rising client interest.
Geopolitical Pressures Affect China Outlook
Nvidia navigates US-China tensions that shape chip sales. Its latest guidance does not provide specific revenue projections for China. Last month, the US allowed conditional sales of Nvidia’s H200 chips to Chinese customers. The H200 is Nvidia’s second-most advanced processor.
A US Commerce Department official tells lawmakers that no H200 chips have reached China yet. The announcement highlights strict export controls and geopolitical sensitivity.
Expansion into Autonomous Vehicles and Robotics
Nvidia expands its product portfolio to generate new growth. The company increases its presence 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.
Nvidia dominates AI model training but faces growing competition in inference computing. Inference applies trained AI models to real-world data for reasoning. In Q4, Nvidia acquires Groq for $20 billion, boosting its inference expertise and reinforcing its market leadership.
