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Cluster Install

Below are instructions on how to install a Run:ai cluster. Before installing, please review the installation prerequisites here: Run AI GPU Cluster Prerequisites.


We strongly recommend running the Run:ai pre-install script to verify that all prerequisites are met.

Install Run:ai

Log in to Run:ai user interface at <company-name> Use credentials provided by Run:ai Customer Support:

  • If no clusters are currently configured, you will see a Cluster installation wizard
  • If a cluster has already been configured, use the menu on the top left and select "Clusters". On the top right, click "Add New Cluster".

Using the Wizard:

  1. Choose a target Kubernetes platform (see table above)
  2. (SaaS only) Provide a domain name for your cluster. The IP address in the domain must be accessible from Researcher machines at port 443.
  3. (SaaS only) Install a trusted certificate to the domain within Kubernetes.
  4. Download a Helm values YAML file runai-<cluster-name>.yaml
  5. (Optional) customize the values file. See Customize Cluster Installation
  6. Install Helm
  7. For RKE only, perform the steps here
  8. Run the helm commands as provided in the wizard.


To install a specific version, add --version <version> to the install command.

Verify your Installation

  • Go to <company-name>
  • Verify that the number of GPUs on the top right reflects your GPU resources on your cluster and the list of machines with GPU resources appears on the bottom line.

For a more extensive verification of cluster health, see Determining the health of a cluster.

(Optional) Set Node Roles

When installing a production cluster you may want to:

  • Set one or more Run:ai system nodes. These are nodes dedicated to Run:ai software.
  • Machine learning frequently requires jobs that require CPU but not GPU. You may want to direct these jobs to dedicated nodes that do not have GPUs, so as not to overload these machines.
  • Limit Run:ai to specific nodes in the cluster.

To perform these tasks. See Set Node Roles.

Next Steps

Last update: 2022-11-29
Created: 2020-07-16