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For about a quarter century, Nvidia has been leading the revolution in computer graphics, becoming a beloved brand by gamers along the way.

Nvidia dominates the market for graphics processing units (GPUs), which it entered in 1999 with the GeForce 256. Gaming brought in over $9 billion in revenue for Nvidia last year despite a recent downturn.

But Nvidia’s latest earnings beat points to a new phenomenon in the GPU business. The technology is now at the center of the boom in artificial intelligence.

“We had the good wisdom to go put the whole company behind it,” CEO Jensen Huang told CNBC in an interview last month. “We saw early on, about a decade or so ago, that this way of doing software could change everything. And we changed the company from the bottom all the way to the top and sideways. Every chip that we made was focused on artificial intelligence.”

As the engine behind large language models (LLMs) like ChatGPT, Nvidia is finally reaping rewards for its early investment in AI. That’s helped to cushion the blow from broader semiconductor industry struggles tied to U.S.-China trade tensions and a global chip shortage. 

Not that Nvidia is immune to geopolitical concerns. In October, the U.S. introduced sweeping new rules that banned exports of leading-edge AI chips to China. Nvidia counts on China for about one-quarter of its revenue, including sales of its popular AI chip, the A100.

“It was a turbulent month or so as the company went upside down to reengineer all of our products so that it’s compliant with the regulation and yet still be able to serve the commercial customers that we have in China,” Huang said. “We’re able to serve our customers in China with the regulated parts, and delightfully support them.”

AI will be a major focus of Nvidia’s annual GTC developer conference taking place from March 20-23. Ahead of the conference, CNBC sat down with Huang at Nvidia’s headquarters in Santa Clara, California, to discuss the company’s role at the heart of the explosion in generative AI.

“We just believed that someday something new would happen, and the rest of it requires some serendipity,” Huang said, when asked whether Nvidia’s fortunes are the result of luck or prescience. “It wasn’t foresight. The foresight was accelerated computing.”

GPUs are Nvidia’s primary business, accounting for more than 80% of revenue. Typically sold as cards that plug into a PC’s motherboard, they add computing power to central processing units (CPUs) built by companies like AMD and Intel.

Now, tech companies scrambling to compete with ChatGPT are publicly boasting about how many of Nvidia’s roughly $10,000 A100s they have. Microsoft said the supercomputer developed for OpenAI used 10,000 of them.

Nvidia Founder and CEO Jensen Huang shows CNBC’s Katie Tarasov a Hopper H100 SXM module in Santa Clara, CA, on February 9, 2023.

Andrew Evers

“It’s very easy to use their products and add more computing capacity,” said Vivek Arya, semiconductor analyst for Bank of America Securities. “Computing capacity is basically the currency of the valley right now.”

Huang showed us the company’s next-generation system called H100, which has already started to ship. The H stands for Hopper.

“What makes Hopper really amazing is this new type of processing called transformer engine,” Huang said, while holding a 50-pound server board. “The transformer engine is the T of GPT, generative pre-trained transformer. This is the world’s first computer designed to process transformers at enormous scale. So large language models are going to be much, much faster and much more cost effective.”

Huang said he “hand-delivered” to ChatGPT maker OpenAI “the world’s very first AI supercomputer.”

Not afraid to bet it all

Today, Nvidia is among the world’s 10 most valuable tech companies, with a market cap of close to $600 billion. It has 26,000 employees and a newly built polygon-themed headquarters. It’s also one of the few Silicon Valley giants with a founder of 30 years still at the helm.

Huang, 60, immigrated to the U.S. from Taiwan as a kid and studied engineering at Oregon State University and Stanford. In the early 1990s, Huang and fellow engineers Chris Malachowsky and Curtis Priem used to meet at a Denny’s and talk about dreams of enabling PCs with 3D graphics.

The trio launched Nvidia out of a condo in Fremont, California, in 1993. The name was inspired by NV for “next version” and Invidia, the Latin word for envy. They hoped to speed up computing so much that everyone would be green with envy — so they chose the envious green eye as the company logo.

Nvidia founders Curtis Priem, Jensen Huang and Chris Malachowsky pose at the company’s Santa Clara, California, headquarters in 2020.

Nvidia

“They were one among tens of GPU makers at that time,” Arya said. “They are the only ones, them and AMD actually, who really survived because Nvidia worked very well with the software community, with the developers.”

Huang’s ambitions and preference for impossible-seeming ventures have pushed the company to the brink of bankruptcy a handful of times.

“Every company makes mistakes and I make a lot of them,” said Huang, who was one of Time magazine’s most influential people in 2021. “Some of them put the company in peril, especially in the beginning, because we were small and we’re up against very, very large companies and we’re trying to invent this brand-new technology.”

In the early 2010s, for example, Nvidia made an unsuccessful move into smartphones with its Tegra line of processors. The company then exited the space. 

In 1999, after laying off the majority of its workforce, Nvidia released what it claims was the world’s first official GPU, the GeForce 256. It was the first programmable graphics card that allowed custom shading and lighting effects. By 2000, Nvidia was the exclusive graphics provider for Microsoft’s first Xbox. In 2006, the company made another huge bet, releasing a software toolkit called CUDA.

“For 10 years, Wall Street asked Nvidia, ‘Why are you making this investment? No one’s using it.’ And they valued it at $0 in our market cap,” said Bryan Catanzaro, vice president of applied deep learning research at Nvidia. He was one of the only employees working on AI when he joined Nvidia in 2008. Now, the company has thousands of staffers working in the space.

“It wasn’t until around 2016, 10 years after CUDA came out, that all of a sudden people understood this is a dramatically different way of writing computer programs,” Catanzaro said. “It has transformational speedups that then yield breakthrough results in artificial intelligence.”

Although AI is growing rapidly, gaming remains Nvidia’s primary business. In 2018, the company used its AI expertise to make its next big leap in graphics. The company introduced GeForce RTX based on what it had learned in AI.

“In order for us to take computer graphics and video games to the next level, we had to reinvent and disrupt ourselves, change literally what we invented altogether,” Huang said. “We invented this new way of doing computer graphics, ray tracing, basically simulating the pathways of light and simulate everything with generative AI. And so we compute one pixel and we imagine with AI the other seven.”

‘Boom-or-bust cycle’

From the beginning, Huang was committed to making Nvidia a fabless chip company, or one that designs the product but contracts out production to others that have chip fabrication plants, or fabs. Nvidia keeps capital expenditure down by outsourcing the extraordinary expense of making the chips to Taiwan Semiconductor Manufacturing Company.

Taiwan Semiconductor Manufacturing Company’s U.S. office space in San Jose, CA, in 2021.

Katie Tarasov

Investors are right to be concerned about that level of dependence on a Taiwanese company. The U.S. passed the CHIPS Act last summer, which sets aside $52 billion to incentivize chip companies to manufacture on U.S. soil.

“The biggest risk is really U.S.-China relations and the potential impact of TSMC. If I’m a shareholder in Nvidia, that’s really the only thing that keeps me up at night,” said C.J. Muse, an analyst at Evercore. “This is not just a Nvidia risk, this is a risk for AMD, for Qualcomm, even for Intel.”

TSMC has said it’s spending $40 billion to build two new chip fabrication plants in Arizona. Huang told CNBC that Nvidia will “absolutely” use TSMC’s Arizona fabs to make its chips.

Then there are questions about demand and how many of the new use cases for GPUs will continue to show growth. Nvidia saw a spike in demand when crypto mining took off because GPUs became core to effectively competing in that market. The company even created a simplified GPU just for crypto. But with the cratering of crypto, Nvidia experienced an imbalance in supply and demand.

“That has created problems because crypto mining has been a boom-or-bust cycle,” Arya said. “Gaming cards go out of stock, prices get bid up, and then when the crypto mining boom collapses, then there is a big crash on the gaming side.”

Nvidia caused major sticker shock among some gamers last year by pricing its new 40-series GPUs far higher than the previous generation. Now there’s too much supply and, in the most recent quarter, gaming revenue was down 46% from a year earlier.

Competition is also increasing as more tech giants design their own custom-purpose chips. Tesla and Apple are doing it. So are Amazon and Google.

“The biggest question for them is how do they stay ahead?” Arya said. “Their customers can be their competitors also. Microsoft can try and design these things internally. Amazon and Google are already designing these things internally.”

For his part, Huang says that such competition is good.

“The amount of power that the world needs in the data center will grow,” Huang said. “That’s a real issue for the world. The first thing that we should do is: every data center in the world, however you decide to do it, for the goodness of sustainable computing, accelerate everything you can.”

In the car market, Nvidia is making autonomous-driving technology for Mercedes-Benz and others. Its systems are also used to power robots in Amazon warehouses, and to run simulations to optimize the flow of millions of packages each day.

Huang describes it as the “omniverse.”

“We have 700-plus customers who are trying it now, from [the] car industry to logistics warehouses to wind turbine plants,” Huang said. “It represents probably the single greatest container of all of Nvidia’s technology: computer graphics, artificial intelligence, robotics and physics simulation, all into one. And I have great hopes for it.”

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Silicon Valley’s early return on Trump investment: Plunging valuations, delayed IPOs

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April 5, 2025

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Silicon Valley's early return on Trump investment: Plunging valuations, delayed IPOs

The Nasdaq MarketSite in New York, June 9, 2023.

Michael Nagle | Bloomberg | Getty Images

Silicon Valley executives and financiers publicly opened their wallets in support of President Donald Trump’s 2024 presidential run. The early returns in 2025 aren’t great, to say the least.

Following Trump’s sweeping tariff plan announced Wednesday, the Nasdaq suffered steep consecutive daily drops to finish 10% lower for the week, the index’s worst performance since the beginning of the Covid pandemic in 2020.

The tech industry’s leading CEO’s rushed to contribute to Trump’s inauguration in January and paraded to Washington, D.C., for the event. Since then, it’s been a slog.

The market can always turn around, but economists and investors aren’t optimistic, and concerns are building of a potential recession. The seven most valuable U.S. tech companies lost a combined $1.8 trillion in market cap in two days.

Apple slid 14% for the week, its biggest drop in more than five years. Tesla, led by top Trump adviser Elon Musk, plunged 9.2% and is now down more than 40% for the year. Musk contributed close to $300 million to help propel Trump back to the White House.

Nvidia, Meta and Amazon all suffered double-digit drops for the week. For Amazon, a ninth straight weekly decline marks its longest such losing streak since 2008.

With Wall Street selling out of risky assets on concern that widespread tariff hikes will punish the U.S. and global economy, the fallout has drifted down to the IPO market. Online lender Klarna and ticketing marketplace StubHub delayed their IPOs due to market turbulence, just weeks after filing with the Securities and Exchange Commission, and fintech company Chime is also reportedly delaying its listing.

CoreWeave, a provider of artificial intelligence infrastructure, last week became the first venture-backed company to raise more than $1 billion in a U.S. IPO since 2021. But the company slashed its offering, and trading has been very volatile in its opening days on the market. The stock plunged 12% on Friday, leaving it 17% above its offer price but below the bottom of its initial range.

“You couldn’t create a worse market and macro environment to go public,” said Phil Haslett, co-founder of EquityZen, a platform for investing in private companies. “Way too much turbulence. All flights are grounded until further notice.”

CoreWeave investor Mark Klein of SuRo Capital previously told CNBC that the company could be the first in an “IPO parade.” Now he’s backtracking.

“It appears that the IPO parade has been temporarily halted,” Klein told CNBC by email on Friday. “The current tariff situation has prompted these companies to pause and assess its impact.”

Tech will see an 'economic armageddon' if these tariffs stay, says Wedbush's Dan Ives

‘Cave rapidly’

During last year’s presidential campaign, prominent venture capitalists like Marc Andreessen backed Trump, expecting that his administration would usher in a boom and eliminate some of the hurdles to startup growth set up by the Biden administration. Andreessen and his partner, Ben Horowitz, said in July that their financial support of the Trump campaign was due to what they called a better “little tech agenda.”

A spokesperson for Andreessen Horowitz declined to comment.

Some techies who supported Trump in the campaign have taken to social media to defend their positions.

Venture capitalist Keith Rabois, a managing director at Khosla Ventures, posted on X on Thursday that “Trump Derangement Syndrome has morphed into Tariff Derangement Syndrome.” He said tariffs aren’t inflationary, are effective at reducing fentanyl imports, and he expects that “most other countries will cave and cave rapidly.”

That was before China’s Finance Ministry said on Friday that it will impose a 34% tariff on all goods imported from the U.S. starting on April 10.

At Sequoia Capital, which is the biggest investor in Klarna, outspoken Trump supporter Shaun Maguire, wrote on X, “The first long-term thinking President of my lifetime,” and said in a separate post that, “The price of stocks says almost nothing about the long term health of an economy.”

However, Allianz Chief Economic Advisor Mohamed El-Erian warned on Friday that Trump’s extensive raft of import tariffs are putting the U.S. economy at risk of recession.

“You’ve had a major repricing of growth prospects, with a recession in the U.S. going up to 50% probability, you’ve seen an increase in inflation expectations, up to 3.5%,” he told CNBC’s Silvia Amaro on the sidelines of the Ambrosetti Forum in Cernobbio, Italy.

Former Microsoft CEOs Bill Gates, left, and Steve Ballmer, center, pose for photos with CEO Satya Nadella during an event celebrating the 50th Anniversary of Microsoft on April 4, 2025 in Redmond, Washington. 

Stephen Brashear | Getty Images

Meanwhile, executives at tech’s megacap companies were largely silent this week, and their public relations representatives declined to provide comments about their thinking.

Microsoft CEO Satya Nadella was in the awkward position on Friday of celebrating his company’s 50th anniversary at corporate headquarters in Redmond, Washington. Alongside Microsoft’s prior two CEOs, Bill Gates and Steve Ballmer, Nadella sat down with CNBC’s Andrew Ross Sorkin for a televised interview that was planned well before Trump’s tariff announcement.

When asked about the tariffs at the top of the interview, Nadella effectively dodged the question and avoided expressing his views about whether the new policies will hamper Microsoft’s business.

Ballmer, who was succeeded by Nadella in 2014, acknowledged to Sorkin that “disruption is very hard on people” and that, “as a Microsoft shareholder, this kind of thing is not good.” Ballmer and Gates are two of the 12 wealthiest people in the world thanks to their Microsoft fortunes.

C-suites may not be able to stay quiet for long, especially if the recent turmoil spills into next week.

Lise Buyer, who previously helped guide Google through its IPO and now works as an adviser to companies going public, said there’s no appetite for risk in the market under these conditions. But there is risk that staffers get jittery, and they’ll surely look to their leaders for some reassurance.

“Until markets settle out and we have the opportunity to access valuation levels, public company CEOs should work to calm potentially distressed employees,” Buyer said in an email. “And private company managements should refine plans to get by on dollars already in the treasury.”

— CNBC’s Hayden Field, Jordan Novet, Leslie Picker, Annie Palmer and Samantha Subin contributed to this report.

WATCH: Chime is reportedly delaying its IPO

Chime is reportedly delaying its IPO

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Tesla’s June robotaxi deadline looms as political backlash builds over Elon Musk

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9 hours ago

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April 5, 2025

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Tesla's June robotaxi deadline looms as political backlash builds over Elon Musk

Elon Musk has been promising investors for about a decade that Tesla’s cars are on the verge of turning into robotaxis, capable of driving themselves cross-country, after one big software update.

That hasn’t happened yet.

What Tesla offers is a sophisticated, but only partially automated, driving system that’s marketed in the U.S. as its Full Self-Driving (Supervised) option, though many Tesla fans refer to it as FSD. In China, Tesla recently changed the system’s name to “intelligent assisted driving.”

Full Self-Driving, as it was previously called, relies on cameras and software to enable features like automatic navigation on highways and city streets, or automatic braking and slowing in response to traffic lights and stop signs.

Tesla owner’s manuals warn users that FSD “is a hands-on feature” that requires them to pay attention to the road at all times. “Keep your hands on the steering wheel at all times, be mindful of road conditions and surrounding traffic,” the manuals say.

But many of Tesla’s customers ignore the fine print and use the system hands-free anyway.

Tesla’s partially automated driving systems have been a source of inspiration for its stalwart fans. But they’ve also caused controversy and concern for public safety after reports of injurious and fatal collisions where Tesla’s standard Autopilot or premium FSD systems were known to be in use.

FSD does a lot of things “amazingly well,” said Guy Mangiamele, a professional test driver for automotive consulting firm AMCI Testing, during a recent long drive in Los Angeles. But he added that “the times that it trips up, you could kill somebody or you could hurt yourself.”

The pressure has never been higher on Tesla to elevate the technology and deliver on Musk’s long-delayed promises.

The Tesla CEO is the wealthiest person in the world and was the biggest financial backer of President Donald Trump’s 2024 campaign. Since Trump’s January inauguration, Musk has been leading the administration’s Department of Government Efficiency effort to drastically slash the federal workforce and government spending.

The DOGE team has been connected to more than 280,000 layoff plans for federal workers and contractors impacting 27 agencies over the last two months, according to data tracked by Challenger Gray, the executive outplacement firm.

Musk’s work with DOGE – along with his frequently incendiary political rhetoric and endorsement of Germany’s far-right, anti-immigrant party AfD – has led to a tremendous backlash against Tesla.

Protests, boycotts and even criminal acts of vandalism have targeted the electric vehicle maker in recent months and led many prospective Tesla customers to turn to other brands. Meanwhile, existing Tesla owners have been trading in their EVs at record levels, according to data from Edmunds.

Tesla’s stock dropped 36% through the first three months of 2025, representing its steepest decline since 2022 and third-biggest slide for any quarter since the EV maker went public in June 2010. Tesla also reported 336,681 vehicle deliveries in the first quarter of 2025, a 13% decline from the same period a year ago.

Product unveilings and a “robotaxi launch” expected from Tesla in Austin, Texas, this year could revitalize investors’ sentiment about the company and hopefully lift its share price, Piper Sandler analysts wrote in a note following the worse-than-expected deliveries report.

On Tesla’s last earnings call, Musk promised investors that Tesla will finally start its driverless ride-hailing service in Austin in June.

To see whether the company’s FSD technology is anywhere close to a robotaxi-ready release, CNBC spent months riding along with Tesla owners who use Full Self-Driving (Supervised) and speaking with automotive safety experts about their impressions.

Auto-tech enthusiast and Tesla owner Chris Lee, host of the YouTube channel EverydayChris, told CNBC that Tesla’s system “definitely has a ways to go, but the fact that it’s able to go from where it was three years ago to today, is insane.”

Many experts, including Telemetry Vice President of Market Research Sam Abuelsamid, remain skeptical. There’s been “no evidence” that FSD is “anywhere close to being ready to be used in an unsupervised form” by June, said Abuelsamid, whose firms specializes in automotive intelligence.

Tesla FSD will “often work really well, particularly in daytime conditions” but then “randomly, in a scenario where it did fine previously, it will fail,” said Abuelsamid, adding that those scenarios can be unpredictable and dangerous.

Watch the video to learn more about the evolution of Tesla’s Full Self-Driving (Supervised) and whether it will be robotaxi-ready this June.

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Microsoft AI chief Suleyman sees advantage in building models ‘3 or 6 months behind’

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April 5, 2025

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Microsoft AI chief Suleyman sees advantage in building models ‘3 or 6 months behind’

Microsoft owns lots of Nvidia graphics processing units, but it isn’t using them to develop state-of-the-art artificial intelligence models.

There are good reasons for that position, Mustafa Suleyman, the company’s CEO of AI, told CNBC’s Steve Kovach in an interview on Friday. Waiting to build models that are “three or six months behind” offers several advantages, including lower costs and the ability to concentrate on specific use cases, Suleyman said.

It’s “cheaper to give a specific answer once you’ve waited for the first three or six months for the frontier to go first. We call that off-frontier,” he said. “That’s actually our strategy, is to really play a very tight second, given the capital-intensiveness of these models.”

Suleyman made a name for himself as a co-founder of DeepMind, the AI lab that Google bought in 2014, reportedly for $400 million to $650 million. Suleyman arrived at Microsoft last year alongside other employees of the startup Inflection, where he had been CEO.

More than ever, Microsoft counts on relationships with other companies to grow.

It gets AI models from San Francisco startup OpenAI and supplemental computing power from newly public CoreWeave in New Jersey. Microsoft has repeatedly enriched Bing, Windows and other products with OpenAI’s latest systems for writing human-like language and generating images.

Microsoft’s Copilot will gain “memory” to retain key facts about people who repeatedly use the assistant, Suleyman said Friday at an event in Microsoft’s Redmond, Washington, headquarters to commemorate the company’s 50th birthday. That feature came first to OpenAI’s ChatGPT, which has 500 million weekly users.

Through ChatGPT, people can access top-flight large language models such as the o1 reasoning model that takes time before spitting out an answer. OpenAI introduced that capability in September — only weeks later did Microsoft bring a similar capability called Think Deeper to Copilot.

Microsoft occasionally releases open-source small-language models that can run on PCs. They don’t require powerful server GPUs, making them different from OpenAI’s o1.

OpenAI and Microsoft have held a tight relationship shortly after the startup launched its ChatGPT chatbot in late 2022, effectively kicking off the generative AI race. In total, Microsoft has invested $13.75 billion in the startup, but more recently, fissures in the relationship between the two companies have begun to show.

Microsoft added OpenAI to its list of competitors in July 2024, and OpenAI in January announced that it was working with rival cloud provider Oracle on the $500 billion Stargate project. That came after years of OpenAI exclusively relying on Microsoft’s Azure cloud. Despite OpenAI partnering with Oracle, Microsoft in a blog post announced that the startup had “recently made a new, large Azure commitment.”

“Look, it’s absolutely mission-critical that long-term, we are able to do AI self-sufficiently at Microsoft,” Suleyman said. “At the same time, I think about these things over five and 10 year periods. You know, until 2030 at least, we are deeply partnered with OpenAI, who have [had an] enormously successful relationship for us.

Microsoft is focused on building its own AI internally, but the company is not pushing itself to build the most cutting-edge models, Suleyman said.

“We have an incredibly strong AI team, huge amounts of compute, and it’s very important to us that, you know, maybe we don’t develop the absolute frontier, the best model in the world first,” he said. “That’s very, very expensive to do and unnecessary to cause that duplication.”

WATCH: Microsoft Copilot beginning of a seismic shift in AI integration, says Microsoft AI CEO Suleyman

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