Nutanix and Netris Partner on Multitenant AI Stack
The companies are jointly developing an infrastructure stack to streamline the deployment of multitenant GPU services.
Updated on Oct. 21, 2026 in Data Centers
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Nutanix and Netris announced a strategic collaboration to integrate the Nutanix Cloud Platform with Netris Network Automation. This combined stack aims to simplify AI infrastructure deployment by offering hard network isolation for both bare-metal and virtualized environments.
Why it matters
The partnership focuses on accelerating the market entry for neoclouds and enterprises looking to offer multitenant GPU services. By automating network fabric operations, the solution intends to improve operational consistency across complex cloud infrastructure.
The platform automates network fabric configuration based on tenant provisioning and provides hard network isolation on physical hardware. It supports over 70 live deployments through the existing Netris automation software.
The players
Nutanix
Nutanix is a cloud computing software company that provides a hyperconverged infrastructure platform for enterprises.
Netris
Netris is a network automation software provider headquartered in Santa Clara, California, that specializes in abstracting network complexity.
The details
The platform translates complex tenant requirements from the Nutanix Cloud Platform into specific network services for GPU nodes. It is designed to handle automated operations for both bare-metal and virtualized setups for neoclouds and enterprises.
Timeline
2018: Netris was founded.
October 21, 2026: The companies announced the collaboration in Berlin.
Early 2027: The tech preview for the joint solution is scheduled to be available.
The Tech Race
This integration signals a move toward commoditizing complex GPU infrastructure management to compete with hyperscale cloud providers. It replaces manual fabric configuration with software-defined workflows to allow smaller clouds to operate at scale.
Enterprises and cloud providers will likely see simplified management of GPU-intensive workloads once the solution becomes available. This automation could reduce the manual labor hours currently required to provision secure, multitenant network fabrics.
The takeaway
This partnership reflects a growing industry demand for standardized automation in high-performance AI environments. Companies looking to implement similar infrastructure should monitor the upcoming 2027 tech preview to evaluate potential integration into their cloud workflows.
What happens next
The companies plan to launch a tech preview of the joint infrastructure stack in early 2027.
Further reading
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Do you believe the rapid expansion of AI infrastructure in business will ultimately benefit the economy?
