Nvidia Corp. hopes to continue its dominion over artificial intelligence infrastructure with its latest generation of DGX SuperPOD.

The release of DGX GB300 SuperPOD comes alongside the fruits of Nvidia’s ongoing partnership with Equinix Inc. The digital infrastructure company will manage Nvidia’s Instant AI Factory, a service for building AI-ready data centers in a relatively short time frame.

Nvidia’s Tony Paikeday (left) talks about Equinix’s involvement with Instant AI Factory.

“You think about organizations around the world that need access to this system, but they don’t want to struggle for months or potentially years to find a home to deploy it, to scale it, to have it managed and operated,” said Tony Paikeday (pictured, left), senior director of product marketing, AI systems, at Nvidia. “Our partnership with Equinix will have us in over 45 markets around the world with preconfigured facilities that are ready based on customer demand to scale up and operate and manage these infrastructure solutions.”

Paikeday spoke with theCUBE’s Savannah Peterson at the Nvidia GTC event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the rise of agentic and physical AI and Nvidia’s goal for the SuperPOD platform. (* Disclosure below.)

Supercharging AI development with SuperPOD

Nvidia is approaching its 10th year of SuperPOD solutions; the difference this time around is that DGX GB300 will incorporate Grace Blackwell Architecture for better AI inferencing. With Equinox providing the facilities and infrastructure for AI development, Paikeday has high hopes for the SuperPOD platform and believes it will have a democratizing effect on companies’ AI deployment.

“As businesses think about what is the essential platform, the essential infrastructure to tackle state-of-the-art models that can do deep reasoning … they’re going to look to this generation of SuperPOD,” he said. “Equinix is such a key component of that platform because you need liquid cooling, you need next-generation data center facilities, you need ultra high-speed interconnects to the world outside to bring that data in.”

As Nvidia looks toward the future, more solutions based on agentic and physical AI are on the horizon. Agentic AI will result in more autonomous business operations, while physical AI is based around technology deployed in the physical world, such as robotics and autonomous vehicles, according to Paikeday.

“We are on the cusp of giving every [enterprise] knowledge worker a team of superhuman capabilities embodied in AI agents that go and think and reason and act autonomously on their behalf,” he said. “The age of agentic AI and this autonomous reasoning embodied in these software agents that will work on your behalf is huge. I think every enterprise is going to embrace some form of that.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the Nvidia GTC event:

(* Disclosure: Equinix Inc. sponsored this segment of theCUBE. Neither Equinix nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE