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https://github.com/vale981/ray
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85 lines
2.5 KiB
ReStructuredText
85 lines
2.5 KiB
ReStructuredText
.. include:: /_includes/clusters/announcement.rst
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.. include:: we_are_hiring.rst
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.. _cluster-index:
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Ray Clusters Overview
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=====================
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What is a Ray cluster?
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----------------------
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One of Ray's strengths is the ability to leverage multiple machines for
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distributed execution. Ray can, of course, be run on a single machine (and is
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done so often), but the real power is using Ray on a cluster of machines.
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Ray can automatically interact with the cloud provider to request or release
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instances. You can specify :ref:`a configuration <cluster-config>` to launch
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clusters on :ref:`AWS, GCP, Azure (community-maintained), Aliyun (community-maintained), on-premise, or even on
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your custom node provider <cluster-cloud>`. Ray can also be run on :ref:`Kubernetes <kuberay-index>` infrastructure.
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Your cluster can have a fixed size
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or :ref:`automatically scale up and down<cluster-autoscaler>` depending on the
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demands of your application.
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Where to go from here?
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----------------------
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.. panels::
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:container: text-center
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:column: col-lg-6 px-2 py-2
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:card:
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**Quick Start**
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^^^
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In this quick start tutorial you will take a sample application designed to
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run on a laptop and scale it up in the cloud.
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+++
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.. link-button:: ref-cluster-quick-start
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:type: ref
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:text: Ray Clusters Quick Start
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:classes: btn-outline-info btn-block
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---
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**Key Concepts**
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^^^
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Understand the key concepts behind Ray Clusters. Learn about the main
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concepts and the different ways to interact with a cluster.
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+++
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.. link-button:: cluster-key-concepts
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:type: ref
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:text: Learn Key Concepts
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:classes: btn-outline-info btn-block
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---
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**Deployment Guide**
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^^^
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Learn how to set up a distributed Ray cluster and run your workloads on it.
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.. link-button:: ref-deployment-guide
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:type: ref
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:text: Deploy on a Ray Cluster
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:classes: btn-outline-info btn-block
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---
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**API**
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^^^
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Get more in-depth information about the various APIs to interact with Ray
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Clusters, including the :ref:`Ray cluster config YAML and CLI<cluster-config>`,
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the :ref:`Ray Client API<ray-client>` and the
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:ref:`Ray job submission API<ray-job-submission-api-ref>`.
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.. link-button:: ref-cluster-api
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:type: ref
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:text: Read the API Reference
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:classes: btn-outline-info btn-block
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.. include:: /_includes/clusters/announcement_bottom.rst
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