Nvidia’s tiny $3,000 computer steals the show at CES
Nvidia CEO Jensen Huang speaks about Project Digits personal AI supercomputer for researchers and students during a keynote address at the Consumer Electronics Show (CES) in Las Vegas, Nevada on January 6, 2025. Gadgets, robots and vehicles imbued with artificial intelligence will once again vie for attention at the Consumer Electronics Show, as vendors behind the scenes will seek ways to deal with tariffs threatened by US President-elect Donald Trump. The annual Consumer Electronics Show (CES) opens formally in Las Vegas on January 7, 2025, but preceding days are packed with product announcements. (Photo by Patrick T. Fallon / AFP) (Photo by PATRICK T. FALLON/AFP via Getty Images)
Patrick T. Fallon | Afp | Getty Images
Nvidia CEO Jensen Huang was greeted as a rock star this week CES in Las Vegas, following an artificial intelligence boom that’s made the chipmaker the second most-valuable company in the world.
At his nearly two-hour keynote on Monday kicking off the annual conference, Huang packed a 12,000-seat arena, drawing comparisons to the way Steve Jobs would reveal products at Apple events.
Huang concluded with an Apple-like trick: a surprise product reveal. He presented one of Nvidia’s server racks and, using some stage magic, held up a much smaller version, which looked like a tiny cube of a computer.
“This is an AI supercomputer,” Huang said, while donning an alligator skin leather jacket. “It runs the entire Nvidia AI stack. All of Nvidia’s software runs on this.”
Huang said the computer is called Project Digits and runs off a relative of the Grace Blackwell graphics processing units (GPUs) that are currently powering the most advanced AI server clusters. The GPU is paired with an ARM-based Grace central processing unit (CPU). Nvidia worked with Chinese semiconductor company MediaTek to create the system-on-a chip called GB10.
Formerly known as the Consumer Electronics Show, CES is typically the spot to launch flashy and futuristic consumer gadgets. At this year’s show, which started on Tuesday and wraps up on Friday, several companies announced AI integrations with appliances, laptops and even grills. Other major announcements included a laptop from Lenovo which has a rollable screen that can expand vertically. There were also new robots, including a Roomba competitor with a robotic arm.
Unlike Nvidia’s traditional GPUs for gaming, Project Digits isn’t targeting consumers. instead, it’s aimed at machine learning researchers, smaller companies, and universities that want to developed advanced AI but don’t have the billions of dollars to build massive data centers or buy enough cloud credits.
“There’s a gaping hole for data scientists and ML researchers and who are actively working, who are actively building something,” Huang said. “Maybe you don’t need a giant cluster. You’re just developing the early versions of the model, and you’re iterating constantly. You could do it in the cloud, but it just costs a lot more money.”
The supercomputer will cost about $3,000 when it becomes available in May, Nvidia said, and will be available from the company itself as well as some of its manufacturing partners. Huang said Project Digits is a placeholder name, indicating it may change by the time the computer goes on sale.
“If you have a good name for it, reach out to us,” Huang said.
Diversifying its business
It’s a dramatically different kind of product from the GPUs that have driven Nvidia’s historic boom in the past two years. OpenAI, which launched ChatGPT in late 2022, and other AI model creators like Anthropic have joined with large cloud providers in snapping up Nvidia’s data center GPUs because of their ability to power the most intensive models and computing workloads.
Data center sales accounted for 88% of Nvidia’s $35 billion in revenue in the most recent quarter.
Wall Street is focused on Nvidia’s ability to diversify its business so that it’s less reliant on a handful of customers buying massive AI systems.
The Nvidia Project Digits supercomputer during the 2025 CES event in Las Vegas, Nevada, US, on Wednesday, Jan. 8, 2025.
Bridget Bennett | Bloomberg | Getty Images
“It was a little scary to see Nvidia come out with something so good for so little in price,” Melius Research analyst Ben Reitzes wrote in a note this week. He said Nvidia may have “stolen the show,” due to Project Digits as well other announcements including graphics cards for gaming, new robot chips and a deal with Toyota.
Project Digits, which runs Linux and the same Nvidia software used on the company’s GPU server clusters, represents a huge increase in capabilities for researchers and universities, said David Bader, director of the Institute for Data Science at New Jersey Institute of Technology.
Bader, who has worked on research projects with Nvidia in the past, said the computer appears to be able to handle enough data and information to train the biggest and most cutting-edge models. He told CNBC Anthropic, Google, Amazon and others “would pay $100 million to build a super computer for training” to get a system with these sorts of capabilities.
For $3,000, users can soon get a product they can plug into a standard electrical outlet in their home or office, Bader said. It’s particularly exciting for academics, who have often left for private industry in order to access bigger and more powerful computers, he said.
“Any student who is able to have one of these systems that cost roughly the same as a high-end laptop or gaming laptop, they’ll be able to do the same research and build the same models,” Bader said.
Reitzes said the computer may be Nvidia’s first move into the $50 billion market for PC and laptop chips.
“It’s not too hard to imagine it would be easy to just do it all themselves and allow the system to run Windows someday,” Reitzes wrote. “But I guess they don’t want to step on too many toes.”
Huang didn’t rule out that possibility when asked about it by Wall Street analysts on Tuesday.
He said that MediaTek may be able to sell the GB10 chip to other computer makers in the market. He made sure to leave some mystery in the air.
“Obviously, we have plans,” Huang said.
Jensen Huang, chief executive officer of Nvidia Corp., during the US-Saudi Investment Forum at the Kennedy Center in Washington, DC, US, on Wednesday, Nov. 19, 2025.
Stefani Reynolds | Bloomberg | Getty Images
In the weeks leading up to Nvidia’s third-quarter earnings report, investors debated whether the markets were in an AI bubble, fretting over the massive sums being committed to building data centers and whether they could provide a long-term return on investment.
During Wednesday’s earnings call with analysts, Nvidia CEO Jensen Huang began his comments by rejecting that premise.
“There’s been a lot of talk about an AI bubble,” Huang said. “From our vantage point we see something very different.”
In many respects, Huang’s remarks are to be expected. He’s leading the company at the heart of the artificial intelligence boom, and has built its market cap to $4.5 trillion because of soaring demand for Nvidia’s graphics processing units.
Huang’s smackdown of bubble talk matters because Nvidia counts every major cloud provider — Amazon, Microsoft, Google, and Oracle — as a customer. Most of the major AI model developers, including OpenAI, Anthropic, xAI and Meta, are also big buyers of Nvidia GPUs.
Huang has deep visibility into the market, and on the call he offered a three-pronged argument for why we’re not in a bubble.
First, he said that areas like data processing, ad recommendations, search systems, and engineering, are turning to GPUs because they need the AI. That means older computing infrastructure based around the central processor will transition to new systems running on Nvidia’s chips.
Second, Huang said, AI isn’t just being integrated into current applications, but it will enable entirely new ones.
Finally, according to Huang, “agentic AI,” or applications that can run without significant input from the user, will be able to reason and plan, and will require even more computing power.
In making the case of Nvidia, Huang said it’s the only company that can address the three use cases.
“As you consider infrastructure investments, consider these three fundamental dynamics,” Huang said. “Each will contribute to infrastructure growth in the coming years.”
Reversing the slide
In its earnings release, Nvidia reported revenue and profit that sailed past estimates and issued better-than-expected guidance. Last month, Huang provided a $500 billion forecast for sales of the company’s AI chips over calendar 2025 and 2026.
The company said on Wednesday that its order backlog didn’t even include a few recent deals, like an agreement with Anthropic that was announced this week or the expansion of a deal with Saudi Arabia.
“The number will grow,” CFO Colette Kress said on the call, saying the company was on track to hit the forecast.
Prior to Wednesday’s results, Nvidia shares were down about 8% this month. Other stocks tied to the AI have gotten hit even harder, with CoreWeave plunging 44% in November, Oracle dropping 14% and Palantir falling 17%.
Some of the worry on Wall Street has been tied to the debt that certain companies have used to finance their infrastructure buildouts.
“Our customers’ financing is up to them,” Huang said.
Specific to Nvidia, investors have raised concerns in recent weeks about how much of the company’s sales were going to a small number of hyperscalers.
Last month, Microsoft, Meta, Amazon and Alphabet all lifted their forecasts for capital expenditures due to their AI buildouts, and now collectively expect to spend more than $380 billion this year.
Huang said that even without a new business model, Nvidia’s chips boost hyperscaler revenue, because they power recommendation systems for short videos, books, and ads.
People will soon start appreciating what’s happening underneath the surface of the AI boom, Huang said, versus “the simplistic view of what’s happening to capex and investment.”
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