Jensen Huang, Nvidia’s founder, president and CEO, speaks about the future of artificial intelligence and its effect on energy consumption and production at the Bipartisan Policy Center in Washington, D.C., on Sept. 27, 2024.
Chip Somodevilla | Getty Images
Nvidia revealed new chips for desktop and laptop PCs on Monday that use the same Blackwell architecture underpinning the company’s fastest AI processors for servers and data centers.
The chips, called GeForce RTX 50-series, will come pre-installed in computers ranging from about $550 to $2,000, the company said. Laptops with the chips will start shipping in March.
Nvidia unveiled the processors at CES in Las Vegas, where CEO Jensen Huang delivered a keynote address on Monday.
“Can you imagine, you have this incredible graphics card, Blackwell, I’m going to shrink it and put it in there,” Huang said, holding up a laptop.
Nvidia, which has soared past $3.5 trillion in market cap by selling AI chips to giant cloud vendors and other tech companies, was until the last few years known for selling graphics processing units (GPUs) to power video games. Nvidia’s first chip in late 1999 was designed to draw triangles and polygons quickly for 3D games.
“Of course, back then, we were a gaming company, and these GPUs were created to accelerate games,” Justin Walker, senior director of product at Nvidia, said on a press call.
Wall Street is less enthused about Nvidia’s gaming business these days given the explosion in AI and ever-increasing demand for more processing power. In the quarter that ended in October, Nvidia’s gaming sales accounted for under 10% of total revenue, compared to 88% from data center chips.
Nvidia has the vast majority of the AI GPU market for data centers, outpacing rivals Advanced Micro Devices and Intel.
But CES, formerly known as the Consumer Electronics Show, is all about consumer products, and the new chips announced Monday are primarily intended for gaming.
Nvidia says the RTX 50-series chips will support a feature called DLSS 4 that uses AI to boost gaming frame rates. They also can display character faces with more details, and will generally provide users with better graphics and higher resolution.
Nvidia’s gaming business is growing, with revenue increasing 15% from a year earlier in the latest quarter. But data center sales have at least doubled for six straight quarters, topping $30 billion in the most recent period.
Nvidia says that technical improvements made for its massive AI business will trickle down into its graphics cards for games.
“While we are now an AI company as well as a gaming company, our gaming side still benefits tremendously from the fact that we are an AI company,” Walker said.
The Blackwell GPU architecture and core design that the 50-series chips use debuted in the company’s AI accelerators, which were announced in March and started shipping later last year. Nvidia said they were designed and optimized to run neural networks used by OpenAI’s ChatGPT and Google’s Gemini.
The new chips for PCs and laptops will come in a number of different configurations. The company says the most expensive and powerful of the chips, the RTX 5090, will be sold individually for $1,999 and is twice as fast as its predecessor, the RTX 4090. Nvidia says it has 92 billion transistors, versus 208 billion transistors on the company’s B200 GPU for servers.
Nvidia says the chips will be optimized to run AI models and do computer graphics, not just run the latest games. The chips will be powerful enough for some game makers to integrate generative AI into their characters in games like “PUBG: Battlegrounds.”
The new processors will also will be powerful enough to to run large language models and image generation models from companies including Meta, Mistral and Stability AI, Nvidia said.
Digital illustration of a glowing world map with “AI” text across multiple continents, representing the global presence and integration of artificial intelligence.
Fotograzia | Moment | Getty Images
As artificial intelligence becomes more democratized, it is important for emerging economies to build their own “sovereign AI,” panelists told CNBC’s East Tech West conference in Bangkok, Thailand, on Friday.
In general, sovereign AI refers to a nation’s ability to control its own AI technologies, data and related infrastructure, ensuring strategic autonomy while meeting its unique priorities and security needs.
However, this sovereignty has been lacking, according to panelist Kasima Tharnpipitchai, head of AI strategy at SCB 10X, the technology investment arm of Thailand-based SCBX Group. He noted that many of the world’s most prominent large language models, operated by companies such as Anthropic and OpenAI, are based on the English language.
“The way you think, the way you interact with the world, the way you are when you speak another language can be very different,” Tharnpipitchai said.
It is, therefore, important for countries to take ownership of their AI systems, developing technology for specific languages, cultures, and countries, rather than just translating over English-based models.
Panelists agreed that the digitally savvy ASEAN region, with a total population of nearly 700 million people, is particularly well positioned to build its sovereign AI. People under the age of 35 make up around 61% of the population, and about 125,000 new users gain access to the internet daily.
Given this context, Jeff Johnson, managing director of ASEAN at Amazon Web Services, said, “I think it’s really important, and we’re really focused on how we can really democratize access to cloud and AI.”
Open-source models
According to panelists, one key way that countries can build up their sovereign AI environments is through the use of open-source AI models.
“There is plenty of amazing talent here in Southeast Asia and in Thailand, especially. To have that captured in a way that isn’t publicly accessible or ecosystem developing would feel like a shame,” said SCB 10X’s Tharnpipitchai.
Doing open-source is a way to create a “collective energy” to help Thailand better compete in AI and push sovereignty in a way that is beneficial for the entire country, he added.
Open-source generally refers to software in which the source code is made freely available, allowing anyone to view, modify and redistribute it. LLM players, such as China’s DeepSeek and Meta’s Llama, advertise their models as open-source, albeit with some restrictions.
The emergence of more open-source models offers companies and governments more options compared to relying on a few closed models, according to Cecily Ng, vice president and general manager of ASEAN & Greater China at software vendor Databricks.
AI experts have previously told CNBC that open-source AI has helped China boost AI adoption, better develop its AI ecosystem and compete with the U.S.
Access to computing
Prem Pavan, vice president and general manager of Southeast Asia and Korea at Red Hat, said that the localization of AI had been focused on language until recently. Having sovereign access to AI models powered by local hardware and computing is more important today, he added.
Panelists said that for emerging countries like Thailand, AI localization can be offered by cloud computing companies with domestic operations. These include global hyperscalers such as AWS, Microsoft Azure and Tencent Cloud, and sovereign players like AIS Cloud and True IDC.
“We’re here in Thailand and across Southeast Asia to support all industries, all businesses of all shapes and sizes, from the smallest startup to the largest enterprise,” said AWS’s Johnson.
He added that the economic model of the company’s cloud services makes it easy to “pay for what you use,” thus lowering the barriers to entry and making it very easy to build models and applications.
In April, the U.N. Trade and Development Agency said in a report that AI was projected to reach $4.8 trillion in market value by 2033. However, it warned that the technology’s benefits remain highly concentrated, with nations at risk of lagging behind.
Among UNCTAD’s recommendations to the international community for driving inclusive growth was shared AI infrastructure, the use of open-source AI models and initiatives to share AI knowledge and resources.
Amazon CEO Andy Jassy said the rapid rollout of generative artificial intelligence means the company will one day require fewer employees to do some of the work that computers can handle.
“Like with every technical transformation, there will be fewer people doing some of the jobs that the technology actually starts to automate,” Jassy told CNBC’s Jim Cramer in an interview on Monday. “But there’s going to be other jobs.”
Even as AI eliminates the need for some roles, Amazon will continue to hire more employees in AI, robotics and elsewhere, Jassy said.
Earlier this month, Jassy admitted that he expects the company’s workforce to decline in the next few years as Amazon embraces generative AI and AI-powered software agents. He told staffers in a memo that it will be “hard to know exactly where this nets out over time” but that the corporate workforce will shrink as Amazon wrings more efficiencies out of the technology.
It’s a message that’s making its way across the tech sector. Salesforce CEO Marc Benioff last week claimed AI is doing 30% to 50% of the work at his software vendor. Other companies such as Shopify and Microsoft have urged employees to adopt the technology in their daily work. The CEO of Klarna said in May that the online lender has managed to shrink its headcount by about 40%, in part due to investments in AI and natural attrition in its workforce.
Jassy said on Monday that AI will free employees from “rote work” and “make all our jobs more interesting,” while enabling staffers to invent better services more quickly than before.
Amazon and other tech companies have also been shrinking their workforces through rolling layoffs over the past several years. Amazon has cut more than 27,000 jobs since the start of 2022, and it’s announced smaller, more targeted layoffs in its retail and devices units in recent months.
Amazon shares are flat so far this year, underperforming the Nasdaq, which has gained 5.5%. The stock is about 10% below its record reached in February, while fellow megacaps Meta, Microsoft and Nvidia are all trading at or very near record highs.
Traders work on the floor at the New York Stock Exchange (NYSE), on the day of Circle Internet Group’s IPO, in New York City, U.S., June 5, 2025.
Brendan McDermid | Reuters
Stablecoin issuer Circle Internet Group has applied for a national trust bank charter, moving forward on its mission to bring stablecoins into the traditional financial world after the firm’s big market debut this month, CNBC confirmed.
Shares rose 1% after hours.
If the Office of the Comptroller of the Currency grants the bank charter, Circle will establish the First National Digital Currency Bank, N.A. Under the charter, Circle, which issues the USDC stablecoin, will also be able to offer custody services in the future to institutional clients for assets, which could include representations of stocks and bonds on a blockchain network.
Reuters first reported on Circle’s bank charter application.
There are no plans to change the management of Circle’s USDC reserves, which are currently held with other major banks.
Circle’s move comes after a wildly successful IPO and debut trading month on the public markets. Shares of the company are up 484% in June. The company is also benefiting from a wave of optimism after the Senate’s passage of the GENIUS Act, which would give the U.S. a regulatory framework for stablecoins.
Having a federally regulated trust charter would also help Circle meet requirements under the GENIUS Act.
“Establishing a national digital currency trust bank of this kind marks a significant milestone in our goal to build an internet financial system that is transparent, efficient and accessible,” Circle CEO Jeremy Allaire said in a statement shared with CNBC. “By applying for a national trust charter, Circle is taking proactive steps to further strengthen our USDC infrastructure.”
“Further, we will align with emerging U.S. regulation for the issuance and operation of dollar-denominated payment stablecoins, which we believe can enhance the reach and resilience of the U.S. dollar, and support the development of crucial, market neutral infrastructure for the world’s leading institutions to build on,” he said.
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