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42 lines
1.8 KiB
ReStructuredText
42 lines
1.8 KiB
ReStructuredText
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.. _ref-automatic-cluster:
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Ray Cluster Launcher
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====================
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Ray comes with a built-in cluster launcher that makes deploying a Ray cluster simple.
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.. code-block:: shell
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# First, run `pip install boto3` and `aws configure`
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#
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# Create or update the cluster. When the command finishes, it will print
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# out the command that can be used to SSH into the cluster head node.
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$ ray up ray/python/ray/autoscaler/aws/example-full.yaml
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This will provision resources from a node provider (like AWS EC2 or Kubernetes) to instantiate the specified cluster, and start a Ray cluster on the provisioned resources. Once the Ray cluster is running, you can manually SSH into it or use provided commands like ``ray attach``, ``ray rsync-up``, and ``ray exec`` to access it and run Ray programs. Check out :ref:`the Usage Guide <launcher-usage>` for instructions on how to use the cluster launcher.
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You can configure the Ray Cluster Launcher to use with :ref:`a cloud provider <cluster-cloud>`, an existing :ref:`Kubernetes cluster <ray-launch-k8s>`, or a private cluster of machines.
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Check out the below for more information about how to configure and use the cluster launcher.
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.. toctree::
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:maxdepth: 2
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launcher-usage.rst
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cloud.rst
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config.rst
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Questions or Issues?
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--------------------
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You can post questions or issues or feedback through the following channels:
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1. `ray-dev@googlegroups.com`_: For discussions about development or any general
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questions and feedback.
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2. `StackOverflow`_: For questions about how to use Ray.
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3. `GitHub Issues`_: For bug reports and feature requests.
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.. _`ray-dev@googlegroups.com`: https://groups.google.com/forum/#!forum/ray-dev
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.. _`StackOverflow`: https://stackoverflow.com/questions/tagged/ray
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.. _`GitHub Issues`: https://github.com/ray-project/ray/issues
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