Jensen Huang, Nvidia’s CEO, used his annual developer conference to address concerns that the cost of artificial intelligence computing is spiralling out of control.
At the event, Huang unveiled more powerful chips and related technology that he said would provide a clearer payoff to customers. The lineup includes a successor to Nvidia’s flagship AI processor called the Blackwell Ultra, as well as additional generations stretching into 2027. Huang also unveiled Dynamo-branded software that will fine-tune existing and future equipment, making it more efficient and profitable.
“It is essentially the operating system of an AI factory,” Huang said during a roughly two-hour presentation at the company’s annual GTC event in San Jose, California, which touched on everything from robot technology to personal supercomputers.
The conference, once a little-known gathering of developers, has become a closely watched event since Nvidia assumed a central role in AI — with the tech world and Wall Street taking its cues from the presentation.
Huang introduced a variety of hardware, software and services during his speech, though there were no bombshell revelations for investors. The stock closed down more than 3% on Tuesday.
Nvidia, once focused on computer gaming chips, has become a tech powerhouse involved in myriad fields. At the event, Huang said the new Blackwell Ultra processor lineup would arrive in the second half of 2025. It will be followed by a more dramatic upgrade called “Vera Rubin” in the latter half of 2026.
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The announcements also included:
- A platform called Isaac GR00T N1 that will “supercharge humanoid robot development.” Nvidia is working with Walt Disney Co. and Google’s DeepMind on the project, which will be open to outside developers.
- A partnership with General Motors Co. that will add AI to next-generation cars, factories and robots.
- A wireless project involving companies such as T-Mobile US Inc. and Cisco Systems Inc. Nvidia will help create “AI-native” wireless network hardware for new 6G networks, the successor to today’s 5G.
- New Nvidia-based personal supercomputer systems from Dell Technologies, HP and other manufacturers. Developers and scientists will be able to use the devices to work on AI models at their desks.
It’s a pivotal moment for Nvidia. After two years of stratospheric growth for both its revenue and market value, investors in 2025 have begun to question whether the frenzy is sustainable. These concerns were brought into focus earlier this year when Chinese start-up DeepSeek said it had developed a competitive AI model using a fraction of the resources.
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DeepSeek’s claim spurred doubts over whether the pace of investment in AI computing infrastructure was warranted. But it was followed by commitments by Nvidia’s biggest customers, a group that includes Microsoft and Amazon.com’s AWS, to keep spending this year.
The biggest data centre operators — a group known as hyperscalers — are projected to spend US$371 billion on AI facilities and computing resources in 2025, a 44% increase from the year prior, according to a Bloomberg Intelligence report published Monday.
That amount is set to climb to US$525 billion by 2032, growing at a faster clip than analysts expected before the viral success of DeepSeek.
But broader concerns about trade wars and a possible recession have weighed on Nvidia’s stock, which is down 14% this year. The shares fell 3.3% to US$115.53 by the close of New York trading Tuesday.
The GM news hurt shares of Mobileye Global, which develops self-driving technology. The stock fell 3.5% to US$14.44. The company, majority-owned by Intel, had its initial public offering in 2022.
The weeklong GTC event is a chance to convince the tech industry that Nvidia’s chips are still must-haves for AI — a field that Huang expects to spread to more of the economy in what he’s called a new industrial revolution. Huang noted that the event has been described as the “Super Bowl of AI”.
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The most important issue facing Nvidia is whether AI capital spending will continue to climb in 2026, Wolfe Research analyst Chris Caso said in a note previewing the event. “AI stocks have been down sharply on recession fears, and while we think AI spending is the last place cloud customers would wish to trim budgets, if the areas that fund those budgets suffer, that could put some pressure on capex.”
On that front, Huang didn’t seem to soothe investors’ concerns. But he offered a road map for future chips and unveiled a breakthrough system that relies on a combination of silicon and photonics — light waves.
Nvidia also announced plans for a quantum computing research lab in Boston, aiming to capitalise on another emerging technology.
Nvidia, based in Santa Clara, California, has suffered some production snags as it works to rapidly upgrade its chips. Some early versions of Blackwell required fixes, delaying the release. Nvidia has said that those challenges are behind it, but the company still doesn’t have enough supply to meet demand. It has increased spending to get more of the chips out the door, something that will weigh on margins this year.
Huang said the top four public cloud vendors — Amazon, Microsoft, Alphabet’s Google, and Oracle — bought 1.3 million of Nvidia’s older-generation Hopper AI chips last year. So far in 2025, the same group has bought 3.6 million Blackwell AI chips, he said.
After Vera Rubin debuts in the second half of next year, Nvidia plans to release a version a year later called Rubin Ultra. Vera Rubin’s namesake was an American astronomer credited with helping discover the existence of dark matter.
The generation of chips after that will be named Feynman, Huang said. The name is a likely reference to Richard Feynman, an American theoretical physicist who made contributions to quantum mechanics.
