This is the Linux app named KubeRay whose latest release can be downloaded as kubectl-ray_v1.4.0_darwin_amd64.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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KubeRay
DESCRIPTION
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
This is an application that can also be fetched from https://sourceforge.net/projects/kuberay.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
