Rafay Systems secured NVIDIA AI Cloud-Ready validation for its infrastructure orchestration platform, positioning the company’s software as a validated operating layer for neoclouds, sovereign AI clouds and service providers building NVIDIA-based AI factories.
The Sunnyvale-based company said the validation confirms that the Rafay Platform meets NVIDIA’s software standard for production-grade AI cloud infrastructure. Rafay joins a small group of independent software vendors validated to deliver API-driven, multi-tenant capabilities for AI factories serving enterprise, sovereign and frontier AI workloads.
The Rafay Platform provides orchestration, governance and service-delivery capabilities above NVIDIA infrastructure, including integration with NVIDIA Infra Controller for rack-scale provisioning of NVIDIA Grace Blackwell systems. Rafay said operators can use the platform to offer Kubernetes, virtual machines, SLURM and bare metal as services, while supporting self-service workflows, quota enforcement, monitoring and token-metered access to NVIDIA NIM microservices.
The validation comes as GPU cloud providers face growing pressure to move beyond raw capacity and deliver production-ready infrastructure services. Rafay said its platform helps operators convert NVIDIA GPU deployments into monetizable AI cloud services without building a custom software stack.
- Rafay achieved NVIDIA AI Cloud-Ready validation for its AI and cloud-native infrastructure orchestration platform.
- The validation aligns with NVIDIA Cloud Partner reference designs for AI cloud infrastructure.
- The platform supports API-driven access to Kubernetes, virtual machines, SLURM and bare metal services.
- Rafay provides hard and soft multi-tenancy, governance, quota controls, lifecycle management and monitoring.
- The platform integrates with NVIDIA Infra Controller for Grace Blackwell rack-scale provisioning.
- Rafay supports NVIDIA NIM microservices, NeMo libraries, AI Blueprints, BlueField-3 DPUs and RTX PRO 6000 Blackwell Server Edition.
- Planned support includes NVIDIA BlueField-4 DPUs.
- Rafay said its platform powers AI factory deployments with Yotta in India, Cassava Technologies in Africa, Firmus Technologies in Australia and TELUS in Canada.
“NVIDIA AI Cloud-Ready and its Cloud Partner program, together, offer a standard for how to build and deploy an AI factory from the hardware through the software stack,” said Haseeb Budhani, CEO and co-founder of Rafay Systems. “Every GPU provider that has worked hard to meet NVIDIA Cloud Partner requirements will now need to ensure that their offering is operating an NVIDIA AI Cloud-Ready software stack. By partnering with Rafay, neoclouds and sovereign AI cloud providers can deliver validated hardware and software on day-1.”
🌐 Analysis: Rafay’s validation highlights a broader shift in AI infrastructure: neoclouds and sovereign AI operators now need standardized software operations, not just GPU supply. As NVIDIA’s ecosystem expands from systems and reference designs into validated cloud operating models, orchestration platforms such as Rafay, Run:ai, VMware, Red Hat and cloud-native Kubernetes stacks will compete around tenancy, governance, automation and service delivery for production AI workloads.
