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Nutanix partners with NVIDIA, Supermicro, Netris on production AI. by Editor October 23, 2026 New Nutanix collaborations cover NVIDIA Vera CPU support, private AI inference with Supermicro, and multitenant AI infrastructure with Netris. Nutanix is collaborating with NVIDIA, Supermicro and Netris on infrastructure designed to support production AI workloads, including agentic AI, private inference and multitenant AI services. The initiatives combine Nutanix software with NVIDIA CPUs, GPUs and networking, Supermicro server systems, and Netris network automation Nutanix plans support for NVIDIA Vera CPUs. Nutanix plans to work towards Day Zero support for NVIDIA Vera CPUs, starting with Nutanix Kubernetes Platform (NKP) Bare Metal, with planned expansion to virtualized Nutanix environments. Agentic AI workloads involve more than GPU-based inference. They also require CPUs to handle tasks such as code execution, tool calls, data retrieval and orchestration between model operations. Nutanix plans to combine Vera CPU support with NVIDIA OpenShell, which provides secure runtime environments for AI agents, and its NKP platform. The companies say the integration is intended to support agent execution while providing a consistent operating model across AI infrastructure. Nutanix and Supermicro develop private AI inference system. Nutanix and Supermicro are planning a jointly engineered AI infrastructure solution based on validated Supermicro server systems, NVIDIA GPUs, Nutanix Agentic AI (NAI) and NVIDIA Spectrum-X Ethernet networking. The proposed system is designed to simplify deployment of on-premises GPU infrastructure for private AI inference, reducing the need for customers to assemble and integrate components from multiple vendors. Nutanix will provide its AI cloud management capabilities and storage for AI workloads. The companies say the architecture is designed to scale GPU capacity as requirements change, while supporting the deployment and management of inference workloads. Nutanix and Netris target multitenant AI infrastructure. Nutanix and Netris are collaborating on network automation and tenant isolation for multitenant AI infrastructure, including environments built around NVIDIA Cloud Partner reference architectures. Nutanix will provide compute, storage, security, Kubernetes and AI platform services across bare-metal and virtualized environments. Netris will provide network automation, abstraction and multitenancy across the physical network, including hardware-enforced isolation between tenants. The companies aim to enable cloud service providers to onboard tenants and deliver AI services through a self-service operating model. Mohammad Abulhouf, Vice President and GM for the Middle East and Africa at Nutanix, said "organisations in the region are moving beyond AI experimentation and seeking ways to deploy AI securely and at scale. He added that the collaborations are intended to help organisations manage infrastructure complexity and costs as they move AI workloads into production." Disclaimer: This article is based on Nutanix's official announcement and has been edited for length and readability. Product capabilities, planned integrations and expected benefits are based on information provided by the companies.

Nutanix and Netris partner to unveil integrated multitenant infrastructure stack for neoclouds and NVIDIA Cloud Partners. Hybrid cloud and artificial intelligence platform leader Nutanix and Netris, a pioneer in Network Automation, Abstraction, and Multitenancy, have announced a strategic engineering collaboration to construct a joint multitenant infrastructure solution purpose-built for neocloud operators and enterprise data centers. The integrated stack combines Nutanix Cloud Platform's compute orchestration and virtualization layer with the Netris NAAM platform. Specifically engineered to satisfy the requirements of NVIDIA Cloud Partner technical specifications, the design enables cloud providers and enterprise IT to quickly deploy secure, GPU-accelerated IaaS services in bare-metal and virtualized deployments. Overcoming multitenancy and infrastructure problems when scaling AI clouds. With the growth of enterprise interest in generative AI and high-performance computing, neocloud vendors and enterprise teams are now fast-moving into creating extensive GPU clusters. Yet the transformation of processing resources into commercially viable GPU-as-a-Service is challenging due to a number of technical issues, including tenant isolation and network orchestration. The creation of enterprise-ready AI cloud requires the provision of soft and hard network isolation throughout all infrastructure layers, from virtual machines and Data Processing Units (DPUs) to physical switches. The manual setup of network configurations becomes a bottleneck for fast customer onboarding and revenue generation. By unifying compute provisioning with physical network orchestration, the Nutanix and Netris architecture removes these obstacles and enables tenants' onboarding, strict data isolation among competing workloads, and the creation of cloud-like self-service management experience. Some of the core capabilities and functionalities provided via the joint solution are: Automatic Physical Fabric Configuration: Provides automatic configuration of the switching fabric and network services when allocating compute resources. Bare Metal and Virtualized Network Consistency: Converts parameters of the Nutanix tenants into consistent network policies for both VMs and bare-metal GPU nodes. Cloud Networking Constructs Access: Provides access to cloud networking constructs, including VPCs, Elastic IP addresses, NAT Gateways, Layer 4 Load Balancers via user-friendly web console, REST API, and Terraform providers. Optimized AI Factory Network Fabrics: Provides optimized network fabric for AI applications, optimized for high throughput, North-South, East-West, and scale-up network traffic flows. Hard and Soft Isolation Across the Stack: Extends the hardware-based tenant isolation from hypervisors to the physical network switches level for secure multi-tenant environment with shared GPU cluster. "Neoclouds and NVIDIA Cloud Partners are at the forefront of the AI transformation, but building the cloud operating stack required to monetize GPU clusters at scale is remarkably complex," said Ketan Shah, Vice President, Product Management, Nutanix. "By pairing Nutanix's Agentic AI solution with the Netris NAAM platform, we will provide AI cloud operators with an out-of-the-box solution to accelerate their journey from metals to margins. We chose to partner with Netris, a leader in network automation, abstraction, and multitenancy, to give operators true self-service networking across both bare-metal and virtualized environments. This will enable our partners to deliver secure, multitenant IaaS environments quickly while maintaining the simplicity and enterprise reliability that Nutanix is known for." "AI infrastructure is scaling incredibly fast, and the network has to scale with it," said Alex Saroyan, CEO and Co-Founder of Netris. "An AI cloud needs two layers working as one - Nutanix's compute orchestration and virtualization, backed by deep operational leadership and experience, and Netris network automation, abstraction, and multitenancy. What makes this collaboration matter is that those layers stay continuously in sync, giving neoclouds and enterprises a single automated stack for secure, multitenant GPU services." "AI infrastructure providers are evolving beyond GPU capacity to deliver trusted inference environments, workload orchestration, agent lifecycle management, and managed AI services. The differentiator will be a cloud-like operating model that combines performance with control, isolation, and security at every layer of the stack." Steve McDowell, Principal Analyst, NAND Research

Nutanix announces that it is collaborating with nvidia, Supermicro, and Netris to deliver new ai solutions. Published on 10/21/2026 at 02:20 pm EDT S&P Capital IQ Nutanix announced it is collaborating with NVIDIA, Supermicro, and Netris to deliver new AI solutions that aim to simplify the infrastructure required for production AI and help organizations bring new capabilities online faster. By combining Nutanix software with leading hardware, networking, and silicon technologies, Nutanix aims to help enterprises deploy and operate production AI environments more efficiently at scale. As organizations push more AI workloads into production, capacity constraints and operational complexity can make it harder to move quickly. Nutanix and its partners are working to simplify that path to make it easier to bring AI into production faster and accelerate time to value. Extending Agentic AI to the CPU Layer with NVIDIA Vera; As enterprises adopt agentic AI at scale, they are anticipated to require infrastructure that can support increasingly demanding workloads across the full AI environment, not just GPU-intensive tasks. Agentic applications combine inference with tool calls, code execution, retrieval, orchestration, and outcome processing. As these workflows scale, CPU performance is expected to become essential for completing the steps between GPU operations, reducing delays, and maximizing overall AI-factory efficiency. To help ensure this critical compute path does not become a bottleneck, Nutanix plans to work towards Day Zero support for NVIDIA Vera CPUs, beginning with NKP Bare Metal, to serve highly performance-sensitive AI factory environments, with planned expansion to virtualized Nutanix environments. By pairing NVIDIA?s purpose-built CPU architecture? engineered for high-speed agent execution and reduced latency? and NVIDIA OpenShell to create safe, private runtime environments for agents with NKP, the collaboration aims to give organizations a predictable, high-performance foundation for their most advanced AI agents. This support is expected to give organizations greater flexibility in how they safely deploy agentic AI while simplifying operations with a consistent cloud operating model. Nutanix and Supermicro Take on Runaway AI Costs with Jointly Engineered System for Private Inference. Nutanix and Supermicro are announcing plans for a jointly engineered AI infrastructure solution built around validated Supermicro server systems. By combining Supermicro servers and NVIDIA GPUs with Nutanix Agentic AI (NAI) and NVIDIA Spectrum-XTM Ethernet networking, the solution is being designed to help reduce custom configuration and integration delays, with the goal of helping enterprises get on-premises GPU capacity and take on runaway AI costs with a jointly engineered system powered by NAI for private inference. As AI requirements grow, the architecture is expected to be able to scale GPU capacity to meet evolving requirements. Nutanix provides an AI cloud control plane and AI storage purpose-built to support workloads with resilient operations and high-throughput data workflows. Customers are anticipated to gain a predictable path to deploy, manage, and scale AI inference workloads without assembling and integrating a complex, multivendor environment. Nutanix and Netris: Making Multitenant AI Infrastructure Easier to Deploy and Operate; For NVIDIA Cloud Partner reference architectures, multitenancy is designed to extend across AI infrastructure, including the physical network. In dynamic neocloud environments, operators also must be able to automate network access and ensure tenant isolation as customers, workloads, and GPU allocations change. Nutanix and Netris are collaborating to automate this network-layer multitenancy and turn complex GPU infrastructure into secure, cloud-like, multitenant AI services. Nutanix will provide the foundation for compute across virtual machines, containers, CPUs, and GPUs, along with storage, security, Kubernetes, and Nutanix Agent Gateway, model-as-a-service and AI platform services. Netris will provide network automation, abstraction, and multitenancy across the physical network fabric, with hard isolation (enforced on networking hardware) from compute through the physical network. Together, the integrated solution will provide a cloud-like self-service operating experience across bare-metal and virtualized AI infrastructure, helping providers instantly onboard tenants and deliver AI services more efficiently. (C) S&P Capital IQ - 2026