Nvidia CEO Jensen Huang took to the stage at the annual SIGGRAPH conference on Tuesday for the first time in five years to showcase the GPU giant’s “full-stack computing” prowess with a bevy of new chips and software capabilities for AI, graphics and simulation applications.
Huang’s keynote at the SIGGRAPH 2023 event in Los Angeles was somewhat of a victory lap for the veteran semiconductor executive, whose Santa Clara, Calif.-based company has become the foundation for the many generative AI applications that have become in high demand over the past several months.
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The chief executive said this moment wouldn’t have been possible if it wasn’t for the way all the individual components came together over the last 12 years: the open-source frameworks, the GPUs tuned for general-purpose computing, the network components to tie them together and the software to develop and manage GPU-accelerated applications.
“The generative AI era is upon us. The iPhone moment of AI, if you will, where all of the technologies of artificial intelligence came together in such a way that it is now possible for us to enjoy AI in so many different applications,” he said.
It was only five years ago, Huang noted, that Nvidia demonstrated the chip designer’s first capabilities in using GPUs to render ray-traced graphics in real time—that is, graphics that realistically simulate the way light interacts with objects.
Since then, Nvidia’s definition of a GPU has expanded, going from a single graphics chip to eight powerful GPUs linked together in a server, according to Huang. The GPUs forming the larger GPU system are Nvidia’s H100 chips, based on the company’s Hopper architecture, that are in high demand due to their ability to run generative AI applications fast and efficiently.
The company has also made a large expansion into systems, software and cloud services over the past several years with products like the Nvidia DGX AI servers, the Nvidia AI Enterprise software suite and the Nvidia DGX Cloud AI supercomputing service.
“We want to have the ability to not just do generative AI in the cloud, but to be able to do it literally everywhere: in the cloud, data centers, workstations or PCs. And we want to do this by making it possible for these really complicated stacks to run,” he said.
The announcements Nvidia made around an updated Grace Hopper Superchip with extra high-bandwidth memory, the versatile L40S data center GPU and a new version of Nvidia AI Enterprise, among several other software updates, reinvigorated one executive at a top Nvidia channel partner.
“I love what Nvidia is doing. They keep progressively pushing the envelope in every area, and they’re not resting on their laurels,” said Andy Lin, CTO at Houston, Texas-based Mark III Systems.
What follows are the most important things you need to know from the announcements Nvidia made at SIGGRAPH 2023, ranging from the updated Grace Hopper and the new L40S GPU to big updates for the Nvidia AI Enterpise and Nvidia Omniverse software platforms, plus more.
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Dylan Martin is a senior editor at CRN covering the semiconductor, PC, mobile device, and IoT beats. He has distinguished his coverage of the semiconductor industry thanks to insightful interviews with CEOs and top executives; scoops and exclusives about product, strategy and personnel changes; and analyses that dig into the why behind the news. He can be reached at [email protected].
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