News

Nutanix Spotlights Cloud Platform Update, New Agentic AI Services

• By David Ramel
• 04/07/2026

Nutanix this week used its annual .NEXT user conference in Chicago to frame a pair of announcements around a common theme: giving enterprises and service providers more infrastructure options as AI workloads move from pilots into production. The company said the updates are meant to address growing demand for platforms that can support virtual machines, containers and AI applications while also giving customers more control over where workloads run and how data is governed.

.NEXT 2026 is taking place April 7-9 in Chicago and is focused on enterprise AI, distributed data, modern IT and cloud native innovation. Within that setting, the company's April 7 news included a focus on two related areas: a broader expansion of Nutanix Cloud Platform, or NCP, and new agentic AI capabilities aimed at a new class of AI-focused service providers it calls neoclouds.

NCP Expansion Adds AI, Kubernetes, Storage and Data Services
In its broader platform announcement, Nutanix said new capabilities to the Nutanix Cloud Platform are intended to help organizations handle expanding AI workloads, more complex cloud environments and continuing hardware supply constraints. The company positioned the update as part of a push to let customers use existing infrastructure more efficiently while extending choice across hardware vendors, hyperscalers, neoclouds and service providers.

The release bundles several product updates. Nutanix said its Agentic AI solution, first announced during NVIDIA GTC 2026 and currently in early access, is designed as a full-stack platform for building and operating AI applications on NCP. The company said the full offering is expected in the second half of 2026 and will combine a virtualization foundation for AI infrastructure with integrated compute, storage, networking and Kubernetes services.

Nutanix also said NKP Metal is in early access and is scheduled for general availability in the second half of 2026, extending Nutanix Kubernetes Platform support to bare-metal infrastructure for edge and dense GPU training workloads. Elsewhere in the stack, Nutanix Unified Storage 5.3 is available now, with the company highlighting Smart Tiering support for Google Cloud and OVHCloud S3 along with multitenant object scaling and quotas for large AI data lakes. Nutanix said later 2026 plans for that product include RDMA acceleration for S3-compatible object storage.

The company also called out general availability for Nutanix Data Lens 2.0, including support for fully on-premises and air-gapped deployments, plus a certified integration between Nutanix Database Service and MongoDB Ops Manager. On the service provider side, Nutanix said Service Provider Central, or SP Central, is currently in early access and is intended to add multitenancy capabilities so partners can deliver hosted infrastructure and AI services on NCP with logical isolation between tenants. General availability for SP Central is also slated for the second half of 2026.

Nutanix paired those software updates with a longer list of ecosystem and hardware support items. Available now, according to the company, are a new Foundation Central appliance for deployment of Nutanix Cloud Infrastructure and the AHV hypervisor across multiple server platforms, synchronous disaster recovery support for Dell PowerFlex, and expanded Everpure integration. Nutanix also outlined additional work planned later this year with AMD, Cisco, Dell, Lenovo and NetApp.

Agentic AI Update Targets Neocloud Providers
In a second announcement, Nutanix said it will extend its Nutanix Agentic AI solution with new capabilities in the second half of 2026 aimed at helping neocloud providers deliver secure, scalable AI services. Nutanix described neoclouds as a new generation of AI cloud providers that have emerged around rapid, on-demand GPU access and said the next phase of the market will center more on inference and production agentic AI applications for a broader enterprise base.

According to the company, the added capabilities are meant to help those providers move beyond raw GPU capacity and offer a larger catalog of services. Nutanix said that catalog will include GPU-as-a-service, Kubernetes-as-a-service and an enterprise-ready AI platform service powered by Nutanix Agentic AI. The company also said the update will add a multitenant, multiservice portal intended to support sovereign AI deployments and give enterprise users greater control over data, infrastructure and AI operations.

Much of that work appears to hinge on the same multitenancy foundation Nutanix is building into SP Central. In the neocloud announcement, the company said the framework is designed to let providers securely operate shared AI infrastructure at scale with tenant isolation and granular resource management. Nutanix said that would allow multiple enterprise customers to share the same physical GPU infrastructure while maintaining predictable performance, security and data isolation.

The company said neocloud builders will be able to allocate GPU and compute resources across tenants and expose independent AI environments with a catalog of services including GPU-aaS, K8S-aaS, VM-aaS, Notebooks-aaS, VectorDB-aaS and Models-aaS. Nutanix also said Nutanix Cloud Manager will add AI infrastructure monitoring and usage-based metering so providers can bill by GPU usage, API calls or model consumption.

Taken together, the two announcements show Nutanix using .NEXT to connect its core infrastructure stack with a service-provider go-to-market message around production AI. The NCP update broadens the underlying platform across Kubernetes, storage, governance and partner integrations. The agentic AI update builds on that base with multitenancy, self-service and metering features aimed at providers delivering AI services to multiple customers. For virtualization and cloud infrastructure buyers, the practical message is less about a single product launch than about how Nutanix wants its platform to span enterprise data centers, hosted environments and sovereign AI deployments as 2026 progresses.