Introduction

This section is a step by step guide for setting up a Run:AI cluster.

• A Run:AI cluster is installed on top of a Kubernetes cluster.
• A Run:AI cluster connects to the Run:AI backend on the cloud. The backend provides a control point as well as a monitoring and control user interface for Administrators.
• A customer may have multiple Run:AI Clusters, all connecting to a single backend.

For additional details see the Run:AI system components

Documents¶

• Review Run:AI cluster prerequisites.
• Step by step installation instructions.
• Look for troubleshooting tips if required.
• Upgrade cluster and delete cluster instructions.

Customization¶

As part of the installation process, you will download a Run:AI Operator YAML file and apply it to the cluster. Before applying the file, you will often need to customize the file. For a list of customization see Cluster Install, section 3.2

Advanced Setup¶

For advanced scenarios such as limiting the installation to specific cluster nodes or enforcing none-root containers see the Advanced section.

Next Steps¶

After setting up the cluster, you may want to start setting up researchers. See: Researcher Setup.