All eyes in the technology world are turning toward Nvidia as the chip giant launches its flagship developer conference, an event expected to showcase the next generation of artificial-intelligence infrastructure.
The annual gathering—known as GTC—kicks off in San Jose with a keynote address from CEO Jensen Huang, widely regarded as one of the most influential figures in the global AI race.
For investors, the conference has become one of the most closely watched events in the technology calendar.
Over the past decade, Nvidia has transformed from a gaming-graphics specialist into the world’s dominant supplier of AI chips. Its processors power everything from cloud computing and large language models to robotics and autonomous vehicles.
Analysts expect several major themes to dominate this year’s conference.
One likely focus is the next wave of AI chips designed to train and run increasingly sophisticated machine-learning models. Nvidia has already introduced its Blackwell architecture, but investors anticipate previews of future platforms that could push computing power even further.
Another major topic will likely be “agentic AI”—systems capable of performing complex tasks autonomously rather than simply responding to prompts.
Executives are also expected to highlight developments in robotics and “physical AI,” technologies that merge artificial intelligence with real-world machines.
Beyond hardware announcements, the conference will feature hundreds of sessions exploring how AI is transforming industries ranging from healthcare and finance to transportation and manufacturing.
For Wall Street, the stakes are enormous.
Demand for Nvidia’s processors has exploded as companies rush to build AI infrastructure. The chipmaker’s market value has soared accordingly, making it one of the most valuable companies in the world.
Yet competition is intensifying.
Rival chipmakers and tech giants are racing to develop their own AI processors, hoping to capture a share of the rapidly expanding market.
Investors will be listening carefully to Huang’s keynote for clues about Nvidia’s roadmap—and whether the company can maintain its dominant position in the AI revolution.