Two months after leaving OpenAI, Chris Malone, the former head of data centers at the AI giant, has joined Nvidia as vice president, DSX Platform.

Announcing his new role on LinkedIn, Malone said that after spending a few weeks with the team, he’s “even more convinced of the opportunity ahead.”

Malone spent 18 months at OpenAI, joining from Meta, where he spent nearly five years as a distinguished engineer. Prior to that, he spent nearly 12 years at Google, focused on the company's data center infrastructure and IT hardware R&D.

At OpenAI, he worked alongside head of infrastructure and fellow Meta alum Keith Heyde, until his departure earlier this year.

Peter Hoeschele, who ran the Stargate joint venture, also left around that time, bringing several AI infrastructure senior leaders with him.

The team was consolidated under Sachin Katti, but the former Intel exec himself left earlier this month.

Former xAI lead Uday Ruddarraju is now in charge of OpenAI's infrastructure and compute business, and has brought a number of xAI staffers to OpenAI. Among them is Brent Mayo, who has been named head of data center build and delivery.

“AI is fundamentally changing how data centers are designed, built, and operated. The scale, power density, cooling requirements, and speed of deployment demand new approaches across the industry,” Malone wrote in his post.

“I see tremendous potential for DSX to help meet that challenge. By bringing computing, power, cooling, and operations together in a common platform, we can help partners build AI factories faster, use energy more efficiently, and get more useful computing from every megawatt.“

First unveiled in March 2026 at GTC San Jose, the DSX AI Factory Platform is a guide to building data centers that support its latest CPU-GPU racks and Spectrum-X Ethernet networking and storage. This week, Nvidia claimed that the DSX Platform will allow customers to build AI data centers that minimize the amount of water consumed by cooling technologies by up to 100 percent, whilst also utilizing up to 30 percent less power for the same output.

To support the platform, Nvidia launched DSX POD at GTC Berlin this week, a modular version of the reference design for Vera Rubin-powered AI data centers.

Built in containers that have been integrated and validated ahead of delivery, the company said the units can be connected to a prepared site’s power, cooling, networking, and other supporting infrastructure to reduce deployment time from six months to 14 days.