The hybrid cloud giant is expanding its agentic AI software stack to help a new breed of GPU-powered cloud providers serve enterprise customers at scale.
Nutanix is pushing deeper into the artificial intelligence infrastructure market, announcing new capabilities for its agentic AI platform designed to help a rising class of cloud providers — known as neoclouds — deliver secure, scalable AI services to enterprise customers.
The company unveiled the expansion at its .NEXT Conference in Chicago on April 7, with general availability expected in the second half of 2026.
The announcement signals a notable shift in how AI cloud services are being delivered. The first wave of neocloud providers built their businesses largely around selling raw GPU access for AI training workloads, typically to a small number of large customers. Nutanix is now positioning itself to help those providers graduate to something more ambitious: full-service AI platforms capable of supporting the production deployment of agentic AI applications across many enterprise clients simultaneously.
To do that, Nutanix is adding a multitenant management portal to its agentic AI software stack — allowing neocloud operators to run multiple enterprise customers on shared GPU infrastructure while keeping their data, workloads, and security policies strictly separated. The company is also expanding its cloud management software, Nutanix Cloud Manager, to include usage-based billing tools, enabling providers to charge customers based on GPU consumption, API calls, or model usage.
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The broader service catalog Nutanix envisions includes GPU-as-a-service, Kubernetes-as-a-service, virtual machine hosting, notebooks, vector databases, and models-as-a-service — a comprehensive suite that would allow neoclouds to compete more directly with the hyperscale cloud giants.
“Demand for sovereign and specialized AI clouds is accelerating as organizations look for ways to access AI while maintaining control over their data,” said Thomas Cornely, Executive Vice President of Product Management at Nutanix.
The push comes as enterprises grow increasingly cautious about ceding control of sensitive data and AI workloads to the largest cloud platforms. Regulatory pressure and data sovereignty concerns — particularly in the public sector and in markets outside the United States — are driving demand for regional AI cloud alternatives that offer comparable capability with greater accountability.
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Nutanix has lined up a roster of technology partners behind the effort, including AMD, Cisco, Intel, Lenovo, Supermicro, and Persistent Systems, as well as early enterprise customers such as Power International Holding and Elm, a Saudi technology company.
The new capabilities are currently available to early access partners.
