Explore the versatility of KubeRay for managing Ray clusters on Kubernetes in this 33-minute conference talk. Learn how to deploy KubeRay and create your first cluster with a single command, then delve into advanced use cases beyond basic Kubectl and Helm deployments. Discover the extended API for end-user cluster management and client libraries that enable applications to scale Ray clusters on demand or programmatically spin up and manage new clusters. Get acquainted with the Python-Client KubeRay library, which simplifies cluster setup without the need for direct interaction with Kubernetes, Kubectl, or YAML files. By the end of the talk, gain a comprehensive understanding of Ray clustering on Kubernetes and the various mechanisms offered by the KubeRay project for cluster creation and management.