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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)

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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.

CES 2025: AI Tech on Display

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

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.

WATCH: Nvidia pullback due to CES expectations

Nvidia pullback due to CES expectations & 'market issues,' says Morgan Stanley's Joseph Moore

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TeraWulf stock jumps more than 10% as Google boosts stake in data center operator

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TeraWulf stock jumps more than 10% as Google boosts stake in data center operator

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TeraWulf stock rallied more than 10% after Google hiked its stake in the bitcoin miner and data center operator as it funds an expansion of its Lake Mariner, New York, facility.

As part of the deal, Google will offer up to $1.4 billion in additional backstop, bringing its total to about $3.2 billion. It hikes Google’s stake in TeraWulf to 14% from 8% and enables the tech giant to buy about 32.5 million shares of the company’s stock.

TeraWulf CEO Paul Prager said in a release that the agreement solidifies the company’s “strategic alignment with Google” to help build advanced artificial intelligence infrastructure.

Last week, shares skyrocketed after the company signed two 10-year computing deals with AI cloud provider Fluidstack to offer more than 200 megawatts of capacity at its Lake Mariner data center space in western New York.

Shares of TeraWulf are up about 90% over the last week.

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“This is a game changer in the industry,” Prager told CNBC’s “Power Lunch” last week. “If you have quality energy infrastructure and a management team and folks on the ground that understand how to extract value for it, this is the time, Lake Mariner is the place.”

Monday’s announcement hikes critical IT load to more than 360 MW, with Fluidstack exercising an option for another 160 MW at Lake Mariner. TeraWulf also said the deal equals $6.7 billion in contracted revenue and could reach as much as $16 billion through lease extensions.

Operations are expected to start in the second half of 2026.

“Fluidstack’s decision to expand so soon after our initial agreement speaks volumes about the quality, readiness, and scalability of our infrastructure,” TeraWulf CTO Nazar Khan said in a release.

Separately, TeraWulf also said it will offer $400 million in convertible senior notes due in 2031.

Don’t miss these insights from CNBC PRO

Terawulf CEO on Google investment: Building one of the largest data center campuses in the U.S.

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Bitcoin sinks to $115,000 after hitting its newest record, as macro concerns spark liquidation wave

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Bitcoin sinks to 5,000 after hitting its newest record, as macro concerns spark liquidation wave

A worsening macroeconomic climate and the collapse of industry giants such as FTX and Terra have weighed on bitcoin’s price this year.

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The crypto market tumbled to begin the week as heightened macro concerns triggered more than $500 million in forced selling of long positions.

The price of bitcoin was last lower by 2% at $115,255.70, after touching a new all-time high last week – its fourth one this year – at $124,496. At one point, it fell as low as $114,706. Ether slid 4% to $4,283.15 after coming within spitting distance of its roughly $4,800 record last week. Both coins rolled over after higher-than-expected July wholesale inflation data raised questions over a Federal Reserve rate cut in September.

Investors’ profit-taking triggered a wave of liquidations across the crypto market.

In the past 24 hours, sales from 131,455 traders totaled $552.58 million, according to Coin Metrics. That figure includes about $123 million in long bitcoin liquidations and $178 million in long ether liquidations. This happens when traders are forced to sell their assets at market price to settle their debts, pushing prices lower.

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Bitcoin briefly dropped below $115,000 after reaching nearly $125,000 last week

Adding to investor disappointment were comments from Treasury Secretary Scott Bessent, who clarified Thursday that the strategic bitcoin reserve President Donald Trump established back in March will be confined to bitcoin forfeited to the federal government, as it explores “budget-neutral pathways to acquire more bitcoin.”

The top cryptocurrencies by market cap fell with the blue-chip coins, with the CoinDesk 20 index, a measure of the broader crypto market, down 3.7%. Crypto related stocks were under pressure premarket, led by ether treasury stocks. Bitmine Immersion was down 6% and SharpLink Gaming fell 3%. Crypto exchange Bullish, which made its public trading debut last week, was also lower by 3%.

This week, investors are keeping an eye on the Fed’s annual economic symposium in Jackson Hole, Wyoming for clues around what could happen at the central bank’s remaining policy meetings this year. Crypto traders also will be watching Thursday’s jobless claims data.

Last week’s test of bitcoin and ether highs surprised traders who expected an August pullback for cryptocurrencies, expecting macro concerns to steal focus from recent momentum around crypto’s institutional and corporate adoption – especially in what has historically proven a weak trading month for many markets – until the September Fed meeting.

Many see pullbacks this month as healthy and strategic cooldowns rather than reactions to crisis, thanks largely to support from crypto ETFs as well as companies focused on aggressively accumulating bitcoin and ether. Although ETFs tracking the price of bitcoin and ether posted net outflows on Friday, they logged net inflows of $547 million and $2.9 billion, respectively, for the week. For ETH funds it was a record week of inflows as well as their 14th consecutive week of inflows.

Don’t miss these cryptocurrency insights from CNBC Pro:

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OpenAI’s Sam Altman sees AI bubble forming as industry spending surges

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OpenAI's Sam Altman sees AI bubble forming as industry spending surges

OpenAI Co-Founder and CEO Sam Altman speaks at Snowflake Summit in San Francisco on June 2, 2025.

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OpenAI CEO Sam Altman thinks the artificial intelligence market is in a bubble, according to a report from The Verge published Friday. 

“When bubbles happen, smart people get overexcited about a kernel of truth,” Altman told a small group of reporters last week.

“Are we in a phase where investors as a whole are overexcited about AI? My opinion is yes. Is AI the most important thing to happen in a very long time? My opinion is also yes,” he was quoted as saying. 

Altman appeared to compare this dynamic to the infamous dot-com bubble, a stock market crash centered on internet-based companies that led to massive investor enthusiasm during the late 1990s. Between March 2000 and October 2002, the Nasdaq lost nearly 80% of its value after many of these companies failed to generate revenue or profits. 

His comments add to growing concern among experts and analysts that investment in AI is moving too fast. Alibaba co-founder Joe Tsai, Bridgewater Associates’ Ray Dalio and Apollo Global Management chief economist Torsten Slok have all raised similar warnings.

Last month, Slok stated in a report that he believed the AI bubble of today was, in fact, bigger than the internet bubble, with the top 10 companies in the S&P 500 more overvalued than they were in the 1990s. 

In an email to CNBC on Monday, Ray Wang, CEO of Silicon Valley-based Constellation Research, told CNBC that he thought Altman’s comments carry some validity, but that the risks are company-dependent. 

Watch CNBC's full interview with OpenAI CEO Sam Altman

“From the perspective of broader investment in AI and semiconductors… I don’t see it as a bubble. The fundamentals across the supply chain remain strong, and the long-term trajectory of the AI trend supports continued investment,” he said. 

However, he added that there is an increasing amount of speculative capital chasing companies with weaker fundamentals and only perceived potential, which could create pockets of overvaluation. 

Many Fears of an AI bubble had hit a fever pitch at the start of this year when Chinese start-up DeepSeek released a competitive reasoning model. The company claimed one version of its advanced large language models had been trained for under $6 million, a fraction of the billions being spent by U.S. AI market leaders like OpenAI, though these claims were also been met with some skepticism.

Earlier this month, Altman told CNBC that OpenAI’s annual recurring revenue is on track to pass $20 billion this year, but that despite that, it remains unprofitable. 

The release of OpenAI’s latest GPT-5 AI model earlier this month had also been rocky, with some critics complaining that it had a less intuitive feel. This resulted in the company restoring access to legacy GPT-4 models for paying customers.

Following the release of the model, Altman has also signaled more caution about some of the AI industry’s more bullish predictions.

Speaking to CNBC, he said that he thought the term artificial general intelligence, or “AGI,” is losing relevance, when asked whether the GPT-5 model moves the world any closer to achieving AGI. 

AGI refers to the concept of a form of artificial intelligence that can perform any intellectual task that a human can — something that OpenAI has been working towards for years and that Altman previously said could be achieved in the “reasonably close-ish future.

Regardless, faith in OpenAI from investors has remained strong this year. CNBC confirmed Friday that the company was preparing to sell around $6 billion in stock as part of a secondary sale that would value it at roughly $500 billion. 

In March, it had announced a $40 billion funding round at a $300 billion valuation, by far the largest amount ever raised by a private tech company. 

In The Verge article on Friday, the OpenAI CEO also discussed OpenAI’s expansion into consumer hardware, brain-computer interfaces and social media. 

Altman also said that he expects OpenAI to spend trillions of dollars on its data center buildout in the “not very distant future,”  and signaled that the company would be interested in buying Chrome if the U.S. government were to force Google to sell it. 

Asked if he would be CEO of OpenAI in a few years, he was quoted as saying, “I mean, maybe an AI is in three years. That’s a long time.”

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