Kubernetes-based GPU orchestration platform fully deployed on-premises, including the control plane and clusters, enabling dynamic AI workload scheduling and resource optimization within your infrastructure.


NVIDIA Run:ai
NVIDIA Run:ai is an AI workload and GPU orchestration platform for teams running training, inference, or development workloads on Kubernetes. It provides advanced scheduling, workload optimization, RBAC, governance, and auditing, so IT and data science teams get more out of their GPUs. It is built for shared GPU clusters used by many teams. You need working Kubernetes knowledge, and installation takes some infrastructure planning.
NVIDIA Run:ai Support-Entitled Release
The Support-Entitled Release is the same platform as the NVIDIA Run:ai open-source release, together with NVIDIA support.
This collection holds the artifacts available only to supported customers. You need an NGC API key with access to this collection to install the Support-Entitled Release.
How to get access
The Support-Entitled Release is included in these NVIDIA software offerings: NVIDIA AI Enterprise, NVIDIA Mission Control, NCP software and support offers, CSP marketplace listings, and NVIDIA Run:ai standalone.
Getting Started
Start with the NVIDIA Run:ai overview to understand the platform architecture, system components, and installation options.
Then follow the installation steps for the Support-Entitled Release. Connected and air-gapped environments are both supported.
Documentation
Find all the product guides, quickstarts, tutorials, configuration references, and API documentation in the NVIDIA Run:ai Documentation Portal.
Support
Access NVIDIA Run:ai knowledge base articles and submit a support case.
Support periods follow the NVIDIA Enterprise Support Policy.
License
NVIDIA Software License Agreement and Product Specific Terms for NVIDIA AI Products