---
description: "Nutanix private inference system with Supermicro: eight Blackwell Ultra GPUs per node, NX-8170 and NX-8150 clusters, Spectrum-X, early 2027."
title: Nutanix Private Inference System With Supermicro Puts Eight NVIDIA B300 Blackwell Ultra GPUs per Node Behind Dedicated NX Management and Storage Clusters, Ships Early 2027
image: https://www.storagereview.com/wp-content/uploads/2026/10/StorageReview-Supermicro-HGX-B300-8-GPU-server.jpg
---

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[Home](https://www.storagereview.com/) » [News](https://www.storagereview.com/news) » Nutanix Private Inference System With Supermicro Puts Eight NVIDIA B300 Blackwell Ultra GPUs per Node Behind Dedicated NX Management and Storage Clusters, Ships Early 2027

# Nutanix Private Inference System With Supermicro Puts Eight NVIDIA B300 Blackwell Ultra GPUs per Node Behind Dedicated NX Management and Storage Clusters, Ships Early 2027

by Harold Fritts on October 21, 2026

[AI](https://www.storagereview.com/enterprise/ai)  ◇  [Enterprise](https://www.storagereview.com/enterprise)

Nutanix announced three collaborations today at NVIDIA GTC Berlin: a jointly engineered private inference system with Supermicro built on servers with eight NVIDIA B300 Blackwell Ultra GPUs per node, Day Zero support for [NVIDIA Vera CPUs](https://www.storagereview.com/news/nvidia-gtc-2026-rubin-gpus-groq-lpus-vera-cpus-and-what-nvidia-is-building-for-trillion-parameter-inference) starting with NKP Bare Metal, and a multitenant stack with Netris that extends tenant isolation into the physical network. The Supermicro system pairs Nutanix Agentic AI (NAI) with dedicated management and storage clusters and NVIDIA Spectrum-X networking, and it is scheduled to ship in early 2027 through Supermicro and its channel partners.

![Supermicro AS-8126GS-NB3RT 8U GPU server with an NVIDIA HGX B300 eight-GPU baseboard, front view showing the E1.S and M.2 drive bays, one of the server classes behind the Nutanix private inference system]()

## Private Inference With Dedicated Management and Storage

The Supermicro system combines Nutanix Cloud Platform, Nutanix Kubernetes Platform (NKP), and Nutanix Enterprise AI on validated Supermicro GPU servers. Nutanix says the stack covers provisioning from bare metal through model-as-a-service and a secure Agent Gateway, with a built-in AI catalog for common AI applications. The stated goal is to cut custom configuration and integration delays and to control the cost per token of private inference as GPU capacity grows, though neither company has published pricing or a measured cost-per-token figure.

![Nutanix Agentic AI solution diagram: model-as-a-service, agentic apps, and physical AI over NVIDIA AI Enterprise with Nemotron, Omniverse, and OpenShell, Nutanix Kubernetes Platform, AI Catalog, and Enterprise AI, AHV and Flow on DPUs, and Nutanix Unified Storage]()

A dedicated, resilient Nutanix management cluster on the NX-8170-G10 provides the single-tenant control plane, an arrangement meant to keep a management-plane failure from disrupting GPU execution. A separate [Nutanix Unified Storage (NUS) cluster](https://www.storagereview.com/news/nutanix-unified-storage-earns-enterprise-level-nvidia-certification-for-production-ai-workloads) on the NX-8150-G10 handles the high-bandwidth I/O for data ingestion, checkpointing, and cache warming; Nutanix describes NUS as NVIDIA Enterprise-certified storage that supports context caching and model serving.

[NVIDIA Spectrum-X](https://www.storagereview.com/news/nvidia-spectrum-x-ethernet-photonics-enters-full-production-with-4x-fewer-lasers-and-a-five-vendor-cpo-supply-chain) networking ties the clusters together with Spectrum-4 Ethernet switches (SN5610 and SN5600), ConnectX-7 and ConnectX-8 SuperNICs, and BlueField-3 DPUs for infrastructure offload and in-band management. The companies describe the fabric as deterministic, non-blocking GPU-to-GPU connectivity. “Collaborating with Nutanix, we want to accelerate time-to-online for enterprise AI,” said Matthew Thauberger, chief revenue officer at Supermicro.

![NVIDIA Spectrum-X Photonics switches with fiber in a rack, an early co-packaged optics deployment]()

## NVIDIA Vera Support Starts With NKP Bare Metal

Nutanix plans to work toward Day Zero support for NVIDIA Vera CPUs, beginning with NKP Bare Metal and expanding later to virtualized Nutanix environments, with no date set for either. The CPU side of an agentic application is the work between GPU operations: tool calls, code execution, retrieval, orchestration, and outcome processing. Nutanix says it will pair Vera CPUs with [NVIDIA OpenShell](https://www.storagereview.com/news/nvidia-open-agent-safety-platform-openshell-sentry-bluefield-4) and NKP to build safe, private runtime environments for agents, and it has published no performance figures for the planned implementation.

![NVIDIA Vera CPU module render with two compute dies surrounded by memory packages]()

## Netris Extends Multitenancy Into the Physical Network

Nutanix and Netris are building a jointly engineered stack that combines Nutanix Cloud Platform with the Netris Network Automation, Abstraction, and Multitenancy (NAAM) platform for neoclouds, NVIDIA Cloud Partners, and enterprises running multitenant GPU infrastructure. Nutanix supplies compute orchestration across virtual machines, containers, CPUs, and GPUs, along with storage, Kubernetes, security, the Nutanix Agent Gateway, and model-as-a-service and AI platform services. Netris supplies physical network automation, abstraction, and multitenancy, translating each tenant’s requirements into network services for bare-metal and virtualized GPU nodes and configuring the physical fabric as the tenant’s resources are provisioned.

The network layer exposes VPCs, elastic IPs, NAT, and L4 load balancers through a web console, a REST API, and Terraform, and covers edge, East-West, North-South, scale-up, and host-based traffic. Tenant isolation runs from virtual workloads through DPUs to the physical switches, with hard isolation enforced in the networking hardware. Netris automates Ethernet, InfiniBand, DPUs, and virtual and edge networking from Day Zero design through live operations, and the company counts more than 70 live deployments. The Nutanix and Netris stack is planned for tech preview in early 2027; no general availability date has been set.

### [Nutanix Agentic AI](https://www.nutanix.com/solutions/ai)

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### Harold Fritts

I have been in the tech industry since IBM created Selectric. My background, though, is writing. So I decided to get out of the pre-sales biz and return to my roots, doing a bit of writing but still being involved in technology.

Previous post: [CoreWeave Physical AI Launchables Put Isaac Sim, CARLA, and MuJoCo Behind One Command, With a Six-Layer Zero Trust AI Framework](https://www.storagereview.com/news/coreweave-physical-ai-launchables-zero-trust-ai-framework-gtc-berlin)

Next post: [Dell AI Factory with NVIDIA Adds a 256-CPU Vera Rack, a Groq 3 LPU Inference Rack, and a 64GB GB10 Desktop](https://www.storagereview.com/news/dell-ai-factory-nvidia-poweredge-m9882-vera-cpu-rack-xe9810-groq-3-gtc-berlin)

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