We have hosted the application kuberay in order to run this application in our online workstations with Wine or directly.


Quick description about kuberay:

KubeRay is a powerful, open-source Kubernetes operator that simplifies the deployment and management of Ray applications on Kubernetes. It offers several key components. KubeRay core: This is the official, fully-maintained component of KubeRay that provides three custom resource definitions, RayCluster, RayJob, and RayService. These resources are designed to help you run a wide range of workloads with ease.

Features:
  • KubeRay fully manages the lifecycle of RayCluster, including cluster creation/deletion, autoscaling, and ensuring fault tolerance
  • Documentation available
  • Examples available
  • With RayJob, KubeRay automatically creates a RayCluster and submits a job when the cluster is ready
  • It provides a layer of simplified configuration for KubeRay resources. The KubeRay API server is used internally by some organizations to back user interfaces for KubeRay resource management.
  • This Python client library provides APIs to handle RayCluster from your Python application


Programming Language: Go.
Categories:
Data Integration

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