Kubernetes-based GPU orchestration platform installed on your clusters and connected to NVIDIA’s cloud-hosted control plane, enabling dynamic AI workload scheduling and resource optimization within your infrastructure.
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, Run:ai provides unparalleled flexibility and adaptability.
SaaS
This collection provides NVIDIA Run:ai as a fully managed SaaS solution.
In a SaaS deployment, the control plane is hosted and managed by NVIDIA, while your Kubernetes clusters connect to the hosted control plane.
Using NVIDIA Run:ai
NVIDIA Run:ai is an enterprise‑grade AI workload and GPU orchestration platform for customers running training, inference, or development workloads on Kubernetes clusters, typically at enterprise scale (16 GPUs or more).
Run:ai provides advanced scheduling, workload optimization, RBAC, governance, and auditing capabilities—enabling IT and data science teams to maximize GPU utilization and operational efficiency.
It is designed for mature enterprise environments with Kubernetes expertise and is not recommended for small, single‑node, or POC‑scale deployments, as setup and integration require infrastructure planning.
Teams should position NVIDIA Run:ai as a premium addition for large AI workloads and multi‑team clusters, rather than an entry‑level orchestration tool.
Getting Started
Start with the NVIDIA Run:ai overview to understand the platform architecture, system components, and deployment models.
Then proceed to the installation guide 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.
License: https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-software-license-agreement
