Nvidia grew from gaming to A.I. giant and now powering ChatGPT

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.”

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.

“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.

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.”