Artificial intelligence workloads are scaling rapidly across enterprise environments, putting infrastructure under increasing pressure to keep pace. As organizations push further into production, enterprise AI infrastructure is emerging as a key layer for managing how applications, data and compute come together to support those demands.

The shift is prompting enterprises to reassess how workloads are deployed and managed across environments, particularly as data becomes more distributed and application architectures grow more complex. The conversation has moved beyond where workloads run to how enterprise AI infrastructure is orchestrated, secured and scaled in practice, according to research from the AppDev Done Right Summit.

“Multicloud has shifted from aspirational to operational reality, with over 50% of enterprise IT teams already managing virtual machines and containers in a unified way today and nearly a third planning to fully converge those environments over the next three years,” said Paul Nashawaty, practice lead and principal analyst at theCUBE Research.

Those themes are expected to take center stage at Nutanix .NEXT, showcasing how enterprise AI infrastructure is evolving to support modern application delivery and operational demands. Join theCUBE, SiliconANGLE Media’s livestreaming studio, on April 8 for live coverage of the event, including analysis of the strategies, technologies and practical applications shaping the next phase of enterprise platforms. (* Disclosure below.)

Enterprise AI infrastructure enters the operational phase

During last year’s NEXT, Nutanix CEO Rajiv Ramaswami laid out a platform vision built not around a fixed set of workloads, but around the ability to keep pace with wherever enterprise applications are headed next. That framing — with AI explicitly named as the next frontier — now looks less like a forward-thinking strategy and more like a roadmap already in motion.

“We want to be the platform for companies to run applications and manage their data,” Ramaswami told theCUBE. “The specific set of applications are going to evolve. It used to be VM applications; now it’s cloud-native applications. Tomorrow, it’s going to be AI and AI-inferencing applications. We have to continue to evolve the platform as we go. The platform cannot be static. It evolves; the ecosystem around it evolves.”

Over the past year, that evolution has taken shape through a wave of product announcements, several of which focus on agentic AI and the enterprise AI infrastructure required to support it. As organizations move toward more autonomous, agent-driven systems, the challenge is shifting from building models to managing the infrastructure required to run them at scale.

The company’s agentic AI solution points to growing demand for platforms that can support large numbers of concurrent services, users and workflows while maintaining control over performance, security and governance, according to Nutanix. The approach also reflects closer alignment between infrastructure platforms and AI ecosystems, including integrations with Nvidia AI Enterprise.

“Contrary to AI infrastructure for model training that was optimized to run ‘one big job,’ production Agentic AI infrastructure needs to handle scale and high rates of change for thousands of AI services, agents and concurrent users and developers,” said Thomas Cornely, executive vice president of product management at Nutanix.

Infrastructure and platform teams gain a unified path to building, operating and governing AI factories, while agentic AI developers get the performance, model access and platform services they need to work at scale, Cornely added. The solution draws on Nutanix’s existing capabilities — AHV hypervisor, Flow Virtual Networking, the Kubernetes Platform and Enterprise AI — rather than requiring net-new infrastructure.

A recent update to the Nutanix Cloud Platform emphasizes the growing importance of sovereignty in distributed environments. As organizations expand across regions and cloud providers, meeting data residency and control requirements is becoming more complex without adding operational overhead. The company’s approach to digital sovereignty provides unified management and improved control across environments, enabling organizations to run traditional, cloud-native and AI workloads while maintaining flexibility around where data resides and how infrastructure is governed, according to Nutanix.

“At Nutanix.NEXT 2026, I expect the event to reflect a broader industry pivot toward hybrid multicloud, AI‑driven application delivery and platform engineering that abstracts complexity while accelerating developer velocity,” Nashawaty said. “Enterprises embracing this trifecta — container‑first architectures, hybrid AI infrastructure and secure multicloud governance — will lead in both performance and innovation in the coming decade.”

TheCUBE event livestream

Don’t miss theCUBE’s coverage of Nutanix .NEXT on April 8. Plus, you can watch theCUBE’s event coverage on demand after the event.

How to watch theCUBE interviews

We offer you various ways to watch theCUBE’s coverage of Nutanix .NEXT, including theCUBE’s dedicated website and YouTube channel. You can also get all the coverage from this year’s events on SiliconANGLE.

TheCUBE podcasts

SiliconANGLE’s “theCUBE Pod” is available on Apple Podcasts, Spotify and YouTube, which you can enjoy while on the go. During each podcast, SiliconANGLE’s John Furrier and Dave Vellante unpack the biggest trends in enterprise tech — from AI and cloud to regulation and workplace culture — with exclusive context and analysis.

SiliconANGLE also produces our weekly “Breaking Analysis” program, where Dave Vellante examines the top stories in enterprise tech, combining insights from theCUBE with spending data from Enterprise Technology Research, available on Apple Podcasts, Spotify and YouTube.

Guests

During Nutanix .NEXT, theCUBE will feature interviews with executives, customers and ecosystem partners focused on how organizations are building and operating enterprise AI infrastructure across hybrid environments. Conversations will explore how teams are translating modernization efforts into measurable operational outcomes.

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

Image: SiliconANGLE