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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

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.


Last update: August 31, 2020