Chip giant Nvidia reports record annual revenue of $215.9 billion. The figure equals £159.1 billion. The company overcomes a wave of investor skepticism about heavy spending on artificial intelligence. Sales in the final quarter of the financial year surge 73% year on year. The results exceed analyst forecasts.
Chief executive Jensen Huang highlights explosive demand. Computing demand is growing exponentially, he says. Customers are racing to invest in AI compute infrastructure. He describes these systems as factories powering the AI industrial revolution. He links them directly to future economic growth.
Nvidia Strengthens Its Dominance In AI Infrastructure
Nvidia ranks as the world’s most valuable publicly traded company. Its market value stands at about $4.8 trillion. The company plays a central role in building global AI infrastructure. It supplies advanced chips to leading developers such as OpenAI and Meta.
Gene Munster of Deepwater Asset Management expects the expansion to continue. AI is accelerating faster than many people realize, he writes on X. He argues that users of AI tools understand the speed of change better than critics.
Investors continue to scrutinize Nvidia’s expanding network of deals. Some critics warn about potential “circular financing” arrangements. They argue that Nvidia’s investments in partner companies may blur the true strength of AI demand. The company rejects concerns and points to sustained customer orders.
Geopolitical Tensions Shape China Strategy
Nvidia operates amid rising geopolitical tensions between the United States and China. The company’s latest outlook does not include specific revenue expectations for China. Last month, the Trump administration allowed Nvidia to sell its H200 chips to Chinese customers under strict conditions. The H200 ranks as Nvidia’s second-most advanced chip.
This week, a US Commerce Department official tells lawmakers that no H200 chips have yet reached Chinese buyers. The disclosure underscores the political sensitivity surrounding advanced semiconductor exports.
Expansion Into Autonomous Vehicles And Robotics
Nvidia accelerates its own product expansion to drive fresh demand. The company moves deeper into physical products powered by AI. At the CES trade show in Las Vegas, Huang unveils a new technology platform for self-driving cars. CES hosts the announcement.
Huang introduces an open-source AI model named Alpamayo. The model aims to bring advanced reasoning capabilities to autonomous vehicles. Nvidia also plans to launch a robotaxi service next year with an undisclosed partner.
Nvidia chips dominate the training of AI models. However, the company faces intense competition in inference computing. Inference applies trained models to real-world data to generate answers through reasoning. During the fourth quarter, Nvidia acquires rival Groq in a $20 billion deal. The acquisition strengthens Nvidia’s expertise in inference and broadens its competitive position.
