Artificial intelligence is stepping out of the lab and into the heart of enterprise infrastructure.

As AI moves past the proof-of-concept phase, enterprise leaders face a new challenge: Embedding intelligence into infrastructure without creating operational chaos. That’s where Nutanix Inc. positions itself — as the bridge between ambition and execution, according to Debo Dutta (pictured, right), chief AI officer at Nutanix.

Nutanix’s Debo Dutta and Jason Langone talk with theCUBE about platform readiness and AI operationalization.

“We have a threefold strategy to deal with the rapid pace of innovation,” Dutta said. “The way we look at it is AI on Nutanix, so we want to have the best agentic platform we’re running on Nutanix, our whole infrastructure, so that we can speed up things. Then AI at Nutanix, so we’re using the same platform to optimize Nutanix. Then AI in Nutanix is [where] we’re trying to improve our products with AI.”

Dutta and Jason Langone (left), global AI business development leader at Nutanix, spoke with theCUBE’s John Furrier and Bob Laliberte at Nutanix .NEXT, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed platform readiness, AI operationalization and the path from lab experiment to real-world scale. (* Disclosure below.)

Turning prototypes into enterprise infrastructure impact

Nutanix’s approach helps IT teams bypass complexity while maintaining control, offering what Dutta described as “simple ways to do day-to-day operations” and centralized governance. This strategy appeals to enterprises looking to move quickly without sacrificing oversight, according to Dutta.

“Enterprise IT can give very detailed access controls of who owns what model and who has access,” he said. “Then we have audit logs, we have telemetry. So, with a combination of these technology features, we give the enterprise IT complete control of the infrastructure running large language models and endpoints.”

Operationalizing AI requires more than just technical chops. Nutanix focuses on making complex deployments repeatable and accessible with tools that help IT teams support models over the long haul, according to Langone.

“To me, that’s one of the anchors of the value Nutanix brings with enterprise AI, is [that] we could pull it up right now,” he said. “Three clicks, you’ve authorized the model of Hugging Face, Nvidia [and] imported your own. Three more clicks, you’re serving it up. This is the simplified operation we need to deliver.”

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

(* Disclosure: TheCUBE is a paid media partner for Nutanix .NEXT. Neither Nutanix Inc., the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE