GTC 2026

Jensen Huang just told the world Nvidia expects $1 trillion in revenue by 2027. That’s double last year’s forecast. But the real story from GTC 2026 isn’t the number — it’s the machine that’s supposed to earn it. Vera Rubin Isn’t a Chip. It’s an Ecosystem. Stop thinking about Nvidia as a GPU company. The star of this year’s GTC is the Vera Rubin platform — a five-rack-scale AI supercomputer built from seven different chips, each purpose-designed for a specific slice of the AI workload. ...

Jensen Huang stood in front of 18,000 people at San Jose’s SAP Center on Monday, wearing his signature black leather jacket, and casually dropped a number that would make most Fortune 500 CEOs choke on their coffee: $1 trillion. That’s the revenue opportunity Nvidia now sees for its AI chips through 2027 — doubled from the $500 billion estimate it gave investors just last month. And after a nearly three-hour keynote that covered everything from space-based data centers to Disney robots to the future of gaming graphics, one thing is crystal clear: Nvidia isn’t just riding the AI wave anymore. It’s building the ocean. ...

Jensen Huang walked into a packed San Jose hockey arena, leather jacket and all, and casually doubled NVIDIA’s AI revenue forecast to $1 trillion through 2027. Then he announced chips purpose-built for AI agents, a partnership with a former competitor, Disney robots, self-driving car deals, and — because apparently Earth isn’t big enough — data centers in space. GTC 2026 wasn’t a product launch. It was a declaration of what comes next. ...

Everyone’s talking about Nvidia’s new chips. But there’s a quieter, arguably more important war happening underneath all the GTC 2026 keynote spectacle — and it’s being fought by two Korean companies most people can’t tell apart. Samsung Electronics and SK hynix are locked in an increasingly fierce battle to supply the memory chips that make AI possible. Without high-bandwidth memory (HBM), Nvidia’s fancy GPUs are just expensive paperweights. And at GTC 2026 this week, both companies showed up swinging. ...

Thirty thousand people just descended on San Jose for what might be the most important tech keynote of 2026. NVIDIA’s GPU Technology Conference kicks off today, and Jensen Huang has promised to “surprise the world.” He’s not bluffing. The Training Era Is Over. Welcome to Inference. For three years, the AI hardware playbook was brain-dead simple: buy GPUs, train bigger models, repeat. NVIDIA rode that formula to a $4.4 trillion market cap — the most valuable public company on Earth. ...

Nvidia doesn’t just want to sell you the shovels anymore. It wants to dig the gold too. Buried inside a financial filing and confirmed by executives in interviews with WIRED, Nvidia plans to spend $26 billion over five years building open-weight AI models. To prove this isn’t vaporware, they simultaneously dropped Nemotron 3 Super — a 128-billion-parameter beast with a hybrid Mamba-Transformer architecture that’s already topping agentic AI benchmarks. This is the most strategically significant move in AI since Meta released the original Llama. Here’s why it matters. ...

Forget March Madness. The real buzzer-beater lands Monday when Jensen Huang takes the stage at San Jose’s SAP Center for GTC 2026 — and the pre-game leaks suggest this could be the most consequential tech keynote in years. NVIDIA is now the world’s most valuable company at roughly $4.6 trillion. GTC has evolved from a niche developer gathering into a market-moving, policy-shaping global event. Nearly 20,000 attendees from 190 countries. Millions on the livestream. And an entire industry holding its breath. ...

For a decade, Nvidia sold the world a simple story: GPUs are all you need. Training? GPUs. Inference? Also GPUs. That story built a $3 trillion empire. On March 16 at GTC 2026 in San Jose, Jensen Huang is expected to blow it up himself. Nvidia will reportedly unveil a dedicated inference processor — not a GPU — built on technology from Groq, the inference startup it absorbed in a $20 billion deal last December. OpenAI is lined up as the first major customer. And the implications for the entire AI hardware ecosystem are enormous. ...