OpenNebula wins NVIDIA AI Cloud Ready validation for production AI factories

OpenNebula Systems says it has completed NVIDIA AI Cloud Ready validation on NVIDIA GB200 NVL72 infrastructure, positioning its open cloud platform for production-scale AI factories, Neoclouds and sovereign cloud operators. The validation adds a supported control layer for mixed AI, Kubernetes, HPC and virtual machine workloads on accelerated NVIDIA systems.

Why it matters: - OpenNebula now has NVIDIA AI Cloud Ready validation for production-scale AI infrastructure. - The validation gives cloud operators a supported path to run AI factories on NVIDIA accelerated systems with a single management layer. - The platform is aimed at NVIDIA Cloud Partners, Neocloud providers, enterprises and sovereign cloud operators. - OpenNebula says the validation supports operational control, multi-tenancy and multiple consumption models for AI infrastructure.

What happened: - OpenNebula Systems announced on September 29, 2026, that it completed NVIDIA AI Cloud Ready validation. - The validation was completed on an NVIDIA GB200 NVL72. - The validation covered requirements in the NVIDIA Cloud Partner Software Reference Guide. - The validated stack combines OpenNebula with NVIDIA DSX OS components. - The integrated stack spans physical infrastructure lifecycle management, virtualization, HPC scheduling, Kubernetes orchestration and accelerated AI workloads.

The details: - The validated configuration used Ubuntu on compute nodes with KVM virtualization. - Slurm handled HPC and distributed AI workloads. - RKE2 Kubernetes clusters were provisioned and lifecycle-managed through OpenNebula OneKS. - NVIDIA Infra Controller handled automated lifecycle management of NVIDIA accelerated infrastructure. - Additional open source tools covered observability, security, identity and access management, and other cloud services. - OpenNebula Systems provides 24/7 enterprise support for the integrated platform, including lifecycle support and operational assistance. - The support model covers the cloud management layer and validated NVIDIA integrations. - The platform can expose NVIDIA accelerated infrastructure as bare metal, virtual machines, Kubernetes clusters, Slurm-based HPC environments and GPU-as-a-Service. - The company says the platform maintains isolation, automation and operational controls needed for production AI clouds. - OpenNebula is developed as an open source, vendor-neutral enterprise cloud and virtualization platform for sovereign clouds and AI factories. - The company says the platform is increasingly used as a VMware replacement and supports infrastructure modernization while preserving existing hardware investments. - OpenNebula says the platform supports more than 5,000 cloud deployments worldwide and infrastructures that scale to thousands of hosts and tens of thousands of GPUs. - The company has offices in Europe and the United States. - For more information, visit OpenNebula's website. - OpenNebula also shared social links for LinkedIn, Bluesky, Facebook, YouTube and X.

Between the lines: - The validation puts OpenNebula in a small group of NVIDIA-validated infrastructure platforms. - OpenNebula says it is the only validated platform developed by a company headquartered in the European Union. - The company is framing the validation as part of Europe’s push for technological sovereignty, supply chain transparency and open source cloud tools. - The announcement aligns with the European Commission’s Cloud and AI Development Act and broader Tech Sovereignty agenda. - OpenNebula’s pitch is that buyers do not have to choose between NVIDIA accelerated hardware and an open cloud control plane. - NVIDIA’s endorsement suggests the platform fits into the company’s broader push to standardize production AI infrastructure across cloud providers and sovereign deployments.

What's next: - OpenNebula is likely to use the validation to expand sales to AI cloud operators, sovereign cloud projects and enterprise infrastructure teams. - The company is positioning its validated stack as a foundation for NVIDIA HGX B200 and B300 systems, as well as NVIDIA GB200 NVL72 and GB300 NVL72 rack-scale systems. - The broader result is a more formalized route for operators that want to deploy AI factories with open management software and NVIDIA hardware. - OpenNebula says the goal is to let organizations deploy AI infrastructure as secure, multi-tenant services they can operate, share and scale.

The bottom line: - OpenNebula’s NVIDIA AI Cloud Ready validation gives the company a stronger foothold in the market for production AI infrastructure, especially for operators seeking open, sovereign and multi-tenant cloud control on NVIDIA systems.