Nutanix and Netris Partner to Deliver Automated, Multitenant AI Infrastructure for Neoclouds

Nutanix, a leader in hybrid cloud solutions, and Netris, specializing in Network Automation, Abstraction, and Multitenancy (NAAM) for AI infrastructure, have announced a strategic collaboration. The partnership aims to deliver a jointly engineered infrastructure stack specifically designed for neoclouds and enterprises. This solution will combine Nutanix's expertise in cloud infrastructure and compute orchestration with Netris's network automation capabilities to facilitate the deployment of secure, multitenant GPU services across both bare-metal and virtualized environments. This development is significant for practitioners in the AI and cloud space because it tackles the inherent complexity of managing AI workloads at scale, particularly in multitenant environments. The demand for AI infrastructure is accelerating, leading to the deployment of large GPU clusters. However, delivering this as a service requires robust isolation and automation across all layers of the infrastructure, from compute to the physical network. By automating network fabric operations and providing unified multitenant networking, the joint solution will reduce the manual effort typically involved in configuring physical networks as tenant resources are provisioned. This translates to faster deployment, improved operational consistency, and a more secure environment for AI workloads. The collaboration fits squarely within the broader trend of infrastructure as code, cloud-native architectures, and the increasing convergence of compute and network automation. As organizations move towards more dynamic and scalable environments, manual network configuration becomes a bottleneck and a source of errors. The integration of AI and automation in network management is a well-established trend, with a clear shift from rule-based automation to more intelligent, adaptive systems. This partnership exemplifies the industry's drive towards autonomous networks, where intent-driven control and automated decision-making are paramount. In practice, this means that AI cloud providers and enterprises leveraging this solution should expect a streamlined process for onboarding new tenants and deploying GPU-intensive AI services. The emphasis on strict isolation from compute through the physical network is critical for security and compliance in multitenant setups. Practitioners should closely watch the tech preview, expected in early 2027, to understand the practical implications for their existing infrastructure and workflows. The ability to deliver AI services through a self-service experience will empower developers and data scientists, while the automated backend will free up network and infrastructure engineers to focus on higher-value tasks rather than repetitive configuration. This move by Nutanix and Netris underscores the growing need for specialized, automated infrastructure solutions to support the burgeoning AI economy.