Install the Control Plane
In this section you will install the NVIDIA Run:ai control plane on your Kubernetes cluster using Helm. The control plane provides the central management layer for NVIDIA Run:ai handling multi-cluster management, resource and access management as well as workload submission and monitoring.
This procedure includes:
Adding the NVIDIA Run:ai Helm repository from NGC or JFrog
Configuring key settings such as domain name, ingress, and administrator credentials
Deploying the control plane into the
runai-backendnamespace
By completing this process, the NVIDIA Run:ai control plane will be running in your cluster and accessible via the configured domain.
System and Network Requirements
Before installing the NVIDIA Run:ai control plane, validate that the system requirements and network requirements are met. For air-gapped environments, make sure you have the software artifacts prepared.
Permissions
As part of the installation, you will be required to install the NVIDIA Run:ai control plane Helm charts. The Helm charts require Kubernetes administrator permissions. You can review the exact objects that are created by the charts using the --dry-run on both helm charts.
Installation
Artifact Source
Starting with v2.24, NVIDIA Run:ai artifacts are available on both NVIDIA NGC and JFrog. NGC is the recommended artifact source. JFrog remains supported in v2.24 but will be removed in a future release. For connected environments, follow the instructions for your artifact source in the sections below. For air-gapped environments, the installation steps are the same regardless of artifact source. Artifacts are prepared in the Preparations step.
Kubernetes
OpenShift
Connect to NVIDIA Run:ai User Interface
Open your browser and go to:
https://runai.<DOMAIN>.local
https://runai.apps.<OpenShift-DOMAIN>
Log in using the administrator credentials provided during the installation. It is recommended to change the password after the first login.
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