NVIDIA
NVIDIA
frontend
Container
NVIDIA
NVIDIA
frontend

Run:ai frontend container image

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NVIDIA Run:ai Self-Hosted
NVIDIA Run:ai Self-HostedKubernetes-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.
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NVIDIA Run:ai
NVIDIA Run:ai accelerates AI and machine learning operations by addressing key infrastructure challenges through dynamic resource allocation, comprehensive AI life-cycle support, and strategic resource management.
By pooling resources across environments and utilizing advanced orchestration, NVIDIA Run:ai significantly enhances GPU efficiency and workload capacity. With support for public clouds, private clouds, hybrid environments, or on-premises data centers, NVIDIA Run:ai provides unparalleled flexibility and adaptability.

Getting Started
Start with the NVIDIA Run:ai overview to understand the platform architecture, system components, and deployment models.
Then proceed to the Installation section for your selected deployment model, which provides step-by-step instructions for connected and air-gapped environments.

Documentation
Find all the product guides, quickstarts, tutorials, configuration references, and API documentation in the NVIDIA Run:ai Documentation Portal.

Enterprise Support
Get access to knowledge-base articles and support cases or submit a ticket.

To view license for this container frontend, see https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-software-license-agreement

Publisher
NVIDIA
NVIDIA
Latest Tag2.25.11
UpdatedMay 26, 2026 UTC
Compressed Size59.37 MB
Multinode SupportNo
Multi-Arch SupportYes