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.

Install Run:ai¶

Log in to Run:ai user interface at <company-name>.run.ai. 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 an IP address for your cluster. The IP address must be accessible from Researcher machines at port 443.
3. Download a Helm values YAML file runai-<cluster-name>.yaml
4. (Optional) customize the values file. See Customize Cluster Installation
5. Install Helm
6. For RKE only, perform the steps here
7. Run the helm commands as provided in the wizard.

Verify your Installation¶

• Go to <company-name>.run.ai/dashboards/now.
• 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¶

• Set up Run:ai Users Working with Users.
• Set up Projects for Researchers Working with Projects.
• (Mandatory) Set up Researcher Access Control.
• Set up Researchers to work with the Run:ai Command-line interface (CLI). See Installing the Run AI Command-line Interface on how to install the CLI for users.
• Review advanced setup and maintenance scenarios.