finance Mar 16, 2026

Nvidia GTC 2026: CEO Jensen Huang sees $1 trillion in orders for Blackwell and Vera Rubin through '27

C

CNBC Finance

3 min read
Key Points
  • At Nvidia's annual developer conference, CEO Jensen Huang said he sees $1 trillion in orders for Blackwell and Vera Rubin systems through 2027
  • The company has been expecting growth in 2026 to exceed what was included in its projection last year for a $500 billion revenue opportunity between Blackwell and Rubin.
  • A central them at GTC this year is that agentic AI is driving a fundamental shift in computing needs.
Nvidia's CEO Jensen Huang speaks during a keynote address at Nvidia's GTC Conference on March 16, 2026 in San Jose, California. Nvidia's GTC Conference focuses on recent developments and future uses of AI.
Benjamin Fanjoy | Getty Images

At Nvidia's annual developer conference on Monday, CEO Jensen Huang took the stage to a packed house and said he expects purchase orders between Blackwell and Vera Rubin to reach $1 trillion through 2027.

Last year, the company had projections for a $500 billion revenue opportunity between the two chip technologies. Following Nvidia's earnings report last month, Finance chief Colette Kress said the company expects growth this year to exceed what was included in that estimate.

Huang said demand is booming from startups and big companies alike. Nvidia shares rose about 2% on Monday.

"If they could just get more capacity, they could generate more tokens, their revenues would go up," Huang said at GTC in San Jose, California.

Nvidia's graphics processing units for artificial intelligence have turned the brand into a household name and the most valuable public company in the world, worth about $4.5 trillion. As mass AI adoption shifts from chatbots to agentic apps that spawn off other agents to accomplish tasks, the number of tokens being generated has exploded, creating even greater need for running inference at faster speeds.

Nvidia is scheduled to roll out Vera Rubin later this year. The system, which is made up of 1.3 million components, will deliver 10 times more performance per watt than its predecessor, Grace Blackwell, the company claims. That's a significant development when energy consumption is one of the most critical issues facing the AI build-out.

The chipmaker said in February that year-over-year revenue this quarter will surge about 77% to roughly $78 billion. The company has reported 11 straight quarters of revenue growth above 55%.

Also on Monday, Huang unveiled the Nvidia Groq 3 Language Processing Unit, or LPU, the company's first chip from the startup that it mostly acquired through a $20 billion asset purchase in December, its largest deal ever.

Groq was founded by the creators of Google's in-house tensor processing unit, which has gained traction in recent years as a competitor to Nvidia's graphics processing units. The Groq 3 LPU is built to enhance its technology, with one core optimized for speeding up the GPU.

Huang showed off a prototype of Kyber, Nvidia's next big rack architecture leap after Rubin. It will integrate 144 GPUs in compute trays that sit vertically instead of horizontally, in order to boost density and lower latency. The Kyber design will be available in Vera Rubin Ultra, Nvidia's next rack-scale system, expected to ship in 2027.

WATCH: Inside Nvidia's Vera Rubin AI system

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