How GPU Clouds Deliver NVIDIA Run:ai as Self-Service with Rafay GPU PaaS

As the demand for AI training and inference surges, GPU Clouds are increasingly looking to offer their users higher-level, turnkey AI services, not just raw GPU instances. Some customers may be familiar with NVIDIA Run:ai as an AI workload and GPU orchestration platform.

Delivering NVIDIA Run:ai as a scalable, repeatable managed service—something customers can select and provision with a few clicks—requires deep automation, lifecycle management, and tenant isolation capabilities. This is exactly what Rafay provides.

With Rafay, GPU Clouds, including NVIDIA Cloud Partners, can deliver NVIDIA Run:ai as a managed service with self-service provisioning, ensuring customers receive a fully configured NVIDIA Run:ai environment automatically, complete with GPU infrastructure, a Kubernetes cluster, necessary operators, and a ready-to-use NVIDIA Run:ai tenant. This post explains how Rafay enables cloud providers to industrialize NVIDIA Run:ai provisioning into a consistent, production-ready managed service.