Nvidia’s second-quarter earnings, which were reported Wednesday after markets closed, prove there is money to be made — and lots of it — selling the picks and shovels of the generative AI boom.

“A new computing era has begun. Companies worldwide are transitioning from general-purpose to accelerated computing and generative AI,” Nvidia founder and CEO Jensen Huang said in a statement.

Huang isn’t wrong. Nvidia has become the main supplier of the generative AI industry. The company’s A100 and H100 AI chips are used to build and run AI applications, notably OpenAI’s ChatGPT. Demand for these demanding applications has grown steadily over the last year, and infrastructure is shifting to support them.

A number of cloud service providers recently announced plans to adopt Nvidia H100 AI hardware in their data centers, according to Huang, who added that enterprise IT system and software providers also announced partnerships to bring Nvidia AI to every industry.

“The race is on to adopt generative AI,” he said.

Nvidia reported revenue of $13.51 billion in the second quarter, a figure that crushed Wall Street expectations and was double the $6.7 billion it generated in the same period last year. Analysts polled by Yahoo Finance forecast Q2 revenue of $11.22 billion.

Nvidia reported GAAP net income of $6.18 billion compared to $656 million it earned in the same year-ago period — upwards of a ninefold gain. Nvidia’s net income skyrocketed even from the first quarter when it reported earnings of $2.04 billion. Its earnings per diluted share for the quarter were $2.48, up 854% from same period last year. Analysts polled by Yahoo finance expected earnings per diluted share of $2.09.

The results show how dramatically its business has changed. The company’s gaming unit was once the main driver of revenue. And while gaming is growing — its Q2 revenue was $2.49 billion, up 22% from last year — it’s now overshadowed by its data center unit. Nvidia’s data center business generated $10.32 billion in revenue, up 141% from the previous quarter and up 171% from a year ago.

Huang said earlier this month during a keynote at SIGGRAPH in Los Angeles that the company made an existential business decision in 2018 to embrace AI-powered image image processing in the form of ray tracing and intelligent upscaling: RTX and DLSS.

That bet has paid off. And Nvidia has forecast even more growth.

The company forecast revenue of $16 billion for the third quarter, plus or minus 2%.

“The world has something along the lines of about a trillion dollars worth of data centers installed in the cloud,” Huang said during the company’s earnings call Wednesday. “And that trillion dollars of data centers is in the process of transitioning into accelerated computing and generative AI. We’re seeing two simultaneous platform shifts at the same time.”

He said accelerated computing is the most cost effective, most energy effective and the most performant way of doing computing now. Now, computing, enabled by generative AI, has come along.

“This incredible application now gives every everyone two reasons to transition to do a platform shift from general purpose computing — the classical way of doing computing — to this new way of doing computing accelerated computing,” he said.

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Kirsten Korosec

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