Nutanix expands AI ties with NVIDIA, Supermicro & Netris

Nutanix has expanded its artificial intelligence partnerships with NVIDIA, Supermicro and Netris, targeting production AI deployments.

The announcement covers three areas: planned Day Zero support for NVIDIA Vera CPUs; a jointly engineered system with Supermicro for private inference; and a networking integration with Netris for multitenant AI infrastructure across bare-metal and virtualised environments.

Nutanix is framing the partnerships around a common problem for companies trying to move AI projects into live use: the difficulty of assembling and operating infrastructure that spans processors, GPUs, containers, virtual machines and network controls.

Under the NVIDIA partnership, Nutanix plans to work towards Day Zero support for Vera CPUs, beginning with its Nutanix Kubernetes Platform on bare metal and later extending to virtualised Nutanix environments. The focus is on agentic AI workloads, where software agents combine inference with code execution, retrieval, orchestration and post-processing tasks.

That emphasis reflects a wider shift in AI computing. While GPUs remain central to model training and inference, companies are also looking at the role of CPUs in handling the steps between GPU operations, particularly in systems that rely on chains of actions rather than single prompts.

Thomas Cornely, executive vice president of product management at Nutanix, said the company sees customers looking for a broader operating model for AI deployments. "Organisations need more than just advanced infrastructure to move agentic AI into production - we believe they need an AI cloud that simply connects intelligence, agents, enterprise applications, and data across CPUs, GPUs, virtual machines, containers, on-premises environments, and cloud," Cornely said.

He added: "Through our collaboration with NVIDIA, Supermicro, and Netris, we plan to help customers accelerate deployments of agents and AI services on a unified platform with built-in security, performance, and governance."

Cost focus

The Supermicro tie-up centres on a pre-engineered AI infrastructure design built around validated server systems. The system will combine Supermicro servers and NVIDIA GPUs with Nutanix's Agentic AI software stack and NVIDIA Spectrum-X Ethernet networking.

The aim is to reduce the custom integration needed for private inference deployments, an area drawing growing interest from businesses that want tighter control over data and spending. Token costs and the price of dedicated GPU capacity have become a significant issue for organisations moving from experimentation to repeated operational use of AI services.

Nutanix said the jointly engineered system is intended to give enterprises a more direct path to deploying and scaling inference workloads on premises, without having to build a stack from several suppliers themselves.

Network layer

The agreement with Netris addresses another operational issue: how to manage multitenant AI services securely across shared infrastructure. The integration will combine the Nutanix Cloud Platform with the Netris Network Automation, Abstraction, and Multitenancy platform.

In practical terms, the companies are targeting AI cloud providers and so-called neocloud operators that need to allocate GPU resources across different customers while maintaining network isolation. The setup will support self-service network operations and hard tenant isolation across physical and virtual environments.

Nutanix said the integrated model is designed to help providers deliver GPU infrastructure as a service in a more unified operating environment.

Industry analysts have pointed to this as a natural extension of Nutanix's long-standing business in virtualised infrastructure. Don Gentile, analyst for data platforms and resiliency at HyperFRAME Research, said the company is extending its management model into a newer set of AI-focused environments. "Nutanix built its enterprise business by simplifying virtualised infrastructure and more recently containerised workloads," Gentile said.

He added: "Now it's extending that expertise to bare-metal AI systems, agent execution, private inference, and multitenant cloud services. Through innovation and targeted partnerships, Nutanix is advancing a common cloud operating model that enterprises and service providers have long wanted: consistent management, automation, and choice across increasingly diverse infrastructure."

For NVIDIA, the partnership also highlights a growing push to define the CPU's role in AI system design. Hannah Coutand, director of product marketing for Vera CPU at NVIDIA, said the processor line is being positioned for the parts of agentic workflows that sit between model calls. "AI agents need fast CPUs to execute code, use tools and process data between model calls," Coutand said.

She added: "NVIDIA Vera is purpose-built for this work, and our collaboration with Nutanix will help enterprises bring high-performance agentic AI into production with a consistent cloud operating model."

Helder Queiros, senior director of OEM and alliances, APJ, at Nutanix, said the company sees the new partnerships as a way to remove integration barriers. "The transition to agentic workloads breaks traditional infrastructure models, and no single vendor can solve this complexity in isolation. By combining Nutanix software with planned Day Zero support for NVIDIA Vera CPUs, pre-engineered Supermicro server systems, and Netris network automation, we're removing friction across the entire execution stack. For enterprises across APJ, this turns a multi-month, high-risk procurement and integration cycle into a validated, production-ready foundation for AI," Queiros said.