Strategic collaboration targets neoclouds and NVIDIA Cloud Partners with an integrated compute-to-network platform designed to accelerate secure, scalable GPU-as-a-Service delivery.
As demand for large-scale AI infrastructure accelerates, Nutanix and Netris are joining forces to address one of the operational challenges facing neocloud providers: delivering secure, multitenant GPU services without the complexity of managing compute and networking as separate environments.
The companies have announced a strategic collaboration to develop an integrated infrastructure stack combining the Nutanix Cloud Platform with Netris’ Network Automation, Abstraction and Multitenancy (NAAM) technology. The solution is designed for neoclouds, NVIDIA Cloud Partners and enterprises seeking to deliver AI infrastructure as a service across bare-metal and virtualised environments.
The collaboration focuses on extending tenant isolation beyond virtual machines and software-defined infrastructure to the physical network. This is particularly important for GPU-as-a-Service providers, where multiple customers share expensive computing infrastructure but require strict separation of workloads, data and network traffic.
The jointly engineered platform will automate network configuration as tenant resources are provisioned, reducing manual intervention and accelerating customer onboarding. It will also provide consistent networking across physical and virtual GPU environments, translating Nutanix tenant requirements into the corresponding network services.
“An AI cloud needs two layers working as one compute orchestration and virtualization, combined with network automation, abstraction and multitenancy.”
— Alex Saroyan, CEO and Co-Founder, Netris
Through a self-service interface, REST APIs and Terraform integration, customers will be able to access cloud-style networking capabilities, including virtual private clouds, elastic IPs, network address translation and Layer 4 load balancing. The architecture is also designed to support the demanding traffic patterns of AI factories, including east-west, north-south, edge and scale-up networking.
Ketan Shah, Vice President, Product Management, Nutanix, said the partnership would help AI cloud operators simplify the process of turning GPU infrastructure investments into commercial services. He described the combined offering as an out-of-the-box approach to self-service networking across bare-metal and virtualised environments.
Alex Saroyan, CEO and Co-Founder of Netris, said the value of the collaboration lies in keeping compute orchestration and network automation continuously synchronised, enabling providers to deliver secure multitenant GPU services through a unified operating model.
For the Middle East and Africa, the opportunity is significant as service providers look to monetise growing investments in AI infrastructure. Sush Kajaria, EMEA Alliance Sales Director, Nutanix, said the combined capabilities would help providers accelerate time to market, improve operational efficiency and create new revenue opportunities while maintaining tenant isolation.
The collaboration also reflects a broader shift in the AI infrastructure market. As analyst Steve McDowell of NAND Research observed, providers are moving beyond simply offering GPU capacity towards managed AI services that combine performance with workload orchestration, control and security.
