Organizations are racing to operationalize AI, turning platform architecture into a defining competitive variable. With agents poised to multiply across hybrid environments, the challenge is no longer building applications. Instead, it is establishing agentic AI governance and scaling the infrastructure beneath it.

Nutanix Inc. used its .NEXT 2026 conference in Chicago to lay out a sweeping set of platform updates aimed squarely at this moment. The company’s cloud platform is specifically positioning itself to support an agentic AI era defined by optimization, security, governance and ecosystem breadth, according to Thomas Cornely (pictured, right), executive vice president of product management at Nutanix.

“We’re definitely feeling the pressure on our customers, because all of them are looking for ways to actually make this work and deploy it in a way that makes sense to them,” Cornely told theCUBE. “The key pieces really are around helping our customers do more with our tech stack platform on the hardware they already have. The keyword we use in our keynote was ‘leverage’ — leverage what you have.”

Cornely and Ketan Shah (left), vice president of products at Nutanix, spoke with theCUBE’s John Furrier at Nutanix .NEXT, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the company’s platform strategy, ecosystem expansion and the role of agentic AI governance in hybrid environments. (* Disclosure below.)

Developing agentic AI governance platforms across hybrid infrastructure

The scope of the .NEXT announcements reflects a company positioning its agentic AI platform as a full-stack answer to the operational complexity of agent-driven workloads. Nutanix is focusing on four major areas, including AI readiness, unified virtual machine and container management, expanded hardware ecosystem support and large-scale distributed management, Shah explained.

“This is one of our biggest releases we’ve ever done in the history of Nutanix,” Shah said. “We’re doing a lot of work around making sure Nutanix Cloud Platform is driving the agentic AI era adoption for organizations. It’s all about optimization, security, governance and performance for those workloads.”

But the rapid proliferation of agents across open frameworks has introduced a new governance challenge — unchecked token consumption and unmonitored agent behavior at scale. Nutanix is addressing this with a new AI gateway designed to deliver visibility into what agents are running, enforce cost and security governance and apply access controls across model endpoints, Shah explained.

“There’s going to be an explosion of agents, and yes, they’ll be running wild. Before you know it, the costs add up,” Shah said. “One of the things we’re building is something called AI Gateway, and that will help you get visibility. You can help build policies around governance and chargeback.”

The ecosystem underpinning the platform is also deepening through co-engineering partnerships with Cisco Systems Inc., Dell Technologies Inc., Lenovo Group Ltd. and NetApp Inc. A multiyear strategic partnership with Advanced Micro Devices Inc., which includes up to $250 million in investment and joint engineering, further signals the company’s push to build an open agentic AI infrastructure at scale. The opportunity is clearly far broader than a traditional platform refresh, Cornely noted.

“Even the systems definition is broadening. My system is no longer my computer environment,” Cornely said. “It’s actually compute and data together. What’s nice with us, Nutanix, [is] we’ve always been about data and compute together. Data is in our DNA.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of Nutanix .NEXT 2026:

(* Disclosure: TheCUBE is a paid media partner for Nutanix .NEXT 2026. Sponsors of theCUBE’s event coverage do not have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE