Nvidia reported revenue for the quarter ended January 26 of 39.3 billion US dollars, up 78% from a year ago, driven in part by demand for its new Blackwell chips for AI. For fiscal 2025, revenue was 130.5 billion dollars, up 114% from a year ago.
“Demand for Blackwell is amazing as reasoning AI adds another scaling law — increasing compute for training makes models smarter and increasing compute for long thinking makes the answer smarter,” said Jensen Huang, founder and CEO of Nvidia. “We’ve successfully ramped up the massive-scale production of Blackwell AI supercomputers, achieving billions of dollars in sales in its first quarter.”
He added: "Models like OpenAI, Grok 3, DeepSeek-R1 are reasoning models that apply inference time scaling. Reasoning models can consume 100x more compute.... DeepSeek-R1 has ignited global enthusiasm. It's an excellent innovation. But even more importantly, it has open-sourced a world-class reasoning AI model. Nearly every AI developer is applying R1 or chain of thought and reinforcement learning techniques like R1 to scale their model's performance."
Huang described each Grace Blackwell NVLink 72 rack as "an engineering marvel. 1.5 million components produced across 350 manufacturing sites by nearly 100,000 factory operators.....the ecosystem that sits on top of our architecture is 10 times more complex today than it was two years ago. And that's fairly obvious because the amount of software that the world is building on top of architecture is growing exponentially and AI is advancing very quickly." He went on to note that "data centres will increasingly become AI factories, and every company will have either rented or self-operated."
Nvidia flagged three major growth engines for AI. "The next wave is coming, agentic AI for enterprise, physical AI for robotics [interpreting physical sensations, such as touch and resistance], and sovereign AI as different regions build out their AI for their own ecosystems. And so, each one of these are barely off the ground," Huang contended. "All software and all services will be based on -- ultimately, based on machine learning, the data flywheel is going to be part of improving software and services and that the future computers will be accelerated, the future computers will be based on AI. And we're really two years into that journey. And in modernising computers that have taken decades to build out." Source: Nvidia