NetApp and Supermicro join forces to build validated AI infrastructure at scale

NetApp and Supermicro are collaborating to deliver jointly validated AI infrastructure solutions designed for environments ranging from enterprise AI deployments to large-scale AI factories, neoclouds and sovereign AI initiatives.

The collaboration combines Supermicro's AI-optimised compute and rack-scale systems with the NetApp Platform's data management, cyber resilience and hybrid-cloud capabilities.

The companies say the approach is intended to help customers accelerate deployment, improve GPU utilisation, strengthen data governance and reduce the complexity involved in designing and integrating AI infrastructure.

Bringing compute and data infrastructure together

As AI workloads scale, organisations increasingly need to coordinate high-performance compute with the data infrastructure that feeds it.

The NetApp and Supermicro collaboration brings together Supermicro's expertise across servers, networking, power and liquid cooling with NetApp's data platform and storage technologies.

By validating the compute and data infrastructure as a unified system, the companies aim to reduce design and integration cycles while giving customers a more consistent architecture that can evolve as compute requirements change.

The approach is designed to support AI environments from individual enterprise projects through to much larger AI factories and sovereign deployments.

Keeping GPUs supplied with data

GPU utilisation is becoming an important consideration as organisations invest in increasingly expensive AI infrastructure.

The joint solutions are designed to reduce data bottlenecks that can leave GPUs waiting for information during model training, inference and retrieval-augmented generation workloads.

By combining AI-optimised compute with AI-ready data services, NetApp and Supermicro aim to help organisations spend more of their available compute capacity on AI workloads rather than waiting for data.

This becomes particularly relevant as enterprises move from individual AI experiments toward larger production environments.

Supporting governance and data sovereignty

Scaling AI also creates requirements around security, governance and control over enterprise data.

The companies say their joint solutions are designed to provide data management, cyber resilience and compliance capabilities for enterprises, governments, neocloud providers and GPU-as-a-service operators.

The architecture also allows customers to access and manage data across on-premises and cloud environments while maintaining consistent governance and protection.

For organisations building sovereign AI infrastructure, this ability to maintain greater control over where data resides and how it is managed can be an important part of the infrastructure strategy.

Scaling compute and data independently

A key element of the collaboration is the ability to scale compute and data independently as workloads evolve.

Rather than requiring organisations to repeatedly redesign their infrastructure as performance or capacity requirements increase, the architecture is intended to provide greater flexibility across the AI lifecycle.

This approach is particularly relevant for AI environments where GPU capacity, data volumes and workload requirements can change rapidly.

NetApp Novus and Supermicro infrastructure

The companies are also working to simplify deployment of the NetApp Novus architecture through qualified Supermicro servers and NetApp AFF A90 systems as the high-performance ONTAP data layer.

NetApp Novus separates metadata and data planes, allowing each to scale independently within a single namespace.

The initial implementation represents an early step in the broader collaboration, with the companies planning integrated infrastructure solutions for enterprise AI, neocloud, sovereign AI and large-scale AI factory environments.

Supporting private AI deployments

The collaboration also extends to enterprises building private AI platforms.

NetApp AIPod with Supermicro is a NetApp-validated converged infrastructure architecture based on the NVIDIA Enterprise Reference Architecture design.

The solution is intended to provide enterprises with a validated foundation for AI training, inference and agentic workloads, supporting environments ranging from dozens to hundreds of GPUs.

For enterprises moving toward private AI infrastructure, the combination provides a more structured path for deploying compute and data capabilities as a complete system.

Building infrastructure for AI at any scale

The collaboration reflects a broader shift in AI infrastructure, where compute performance alone is no longer sufficient to support production-scale workloads.

As organisations build AI clusters, private platforms and sovereign AI environments, infrastructure needs to keep GPUs productive while maintaining data governance, security and operational flexibility.

By bringing Supermicro's compute and rack-scale capabilities together with NetApp's data infrastructure, the companies are positioning their joint solutions around that intersection of compute, data and governance.

About NetApp

NetApp is an intelligent data infrastructure company providing data management, storage and hybrid-cloud technologies for enterprises. Its platform is built around ONTAP and supports workloads across cloud, on-premises and AI environments.

About Supermicro

Supermicro develops application-optimised server and storage solutions, including AI-optimised systems, rack-scale infrastructure, networking, power and liquid-cooling technologies.

Source and Credits

NetApp official announcement