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Install the Cluster

System and Network Requirements

Before installing the NVIDIA Run:ai cluster, validate that the system requirements and network requirements are met. Make sure you have the software artifacts prepared.

Once all the requirements are met, it is highly recommend to use the NVIDIA Run:ai cluster preinstall diagnostics tool to:

  • Test the below requirements in addition to failure points related to Kubernetes, NVIDIA, storage, and networking
  • Look at additional components installed and analyze their relevance to a successful installation

For more information, see preinstall diagnostics. To run the preinstall diagnostics tool, download the latest version, and run:

chmod +x ./preinstall-diagnostics-<platform> && \ 
./preinstall-diagnostics-<platform> \
  --domain ${CONTROL_PLANE_FQDN} \
  --cluster-domain ${CLUSTER_FQDN} \
#if the diagnostics image is hosted in a private registry
  --image-pull-secret ${IMAGE_PULL_SECRET_NAME} \
  --image ${PRIVATE_REGISTRY_IMAGE_URL}

Helm

NVIDIA Run:ai requires Helm 3.14 or later. To install Helm, see Installing Helm.

Permissions

A Kubernetes user with the cluster-admin role is required to ensure a successful installation. For more information, see Using RBAC authorization.

Installation

Follow the steps below to add a new cluster.

Note

When adding a cluster for the first time, the New Cluster form automatically opens when you log in to the NVIDIA Run:ai platform. Other actions are prevented, until the cluster is created.

If this is your first cluster and you have completed the New Cluster form, start at step 3. Otherwise, start at step 1.

  1. In the NVIDIA Run:ai platform, go to Resources
  2. Click +NEW CLUSTER
  3. Enter a unique name for your cluster
  4. Choose the NVIDIA Run:ai cluster version (latest, by default)
  5. Select Same as control plane
  6. Click Continue

Installing NVIDIA Run:ai Cluster

In the next Section, the NVIDIA Run:ai cluster installation steps will be presented.

  1. Follow the installation instructions and run the commands provided on your Kubernetes cluster
  2. Append --set global.customCA.enabled=true to the Helm installation command
  3. Click DONE

The cluster is displayed in the table with the status Waiting to connect. Once installation is complete, the cluster status changes to Connected.

Tip

Use the --dry-run flag to gain an understanding of what is being installed before the actual installation. For more details, see see Understanding cluster access roles..

Note

To customize the installation based on your environment, see Customize cluster installation.

Troubleshooting

If you encounter an issue with the installation, try the troubleshooting scenario below.

Installation

If the NVIDIA Run:ai cluster installation failed, check the installation logs to identify the issue. Run the following script to print the installation logs:

curl -fsSL https://raw.githubusercontent.com/run-ai/public/main/installation/get-installation-logs.sh

Cluster Status

If the NVIDIA Run:ai cluster installation completed, but the cluster status did not change its status to Connected, check the cluster troubleshooting scenarios