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[docs] new Ray Cluster documentation (#13839)

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Co-authored-by: Javier Redondo <javier@anyscale.com>
Co-authored-by: AmeerHajAli <ameerh@berkeley.edu>
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2021-02-15 00:47:14 -08:00
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co-authored by Javier Redondo AmeerHajAli
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doc/examples/plot_example-lm.rst
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@@ -11,7 +11,7 @@ You can view the `code for this example`_.
.. _`code for this example`: https://github.com/ray-project/ray/tree/master/doc/examples/lm
To use Ray cluster launcher on AWS, install boto (``pip install boto3``) and configure your AWS credentials in ``~/.aws/credentials`` as described on the :ref:`Automatic Cluster Setup page <ref-automatic-cluster>`.
To use Ray cluster launcher on AWS, install boto (``pip install boto3``) and configure your AWS credentials in ``~/.aws/credentials`` as described on the :ref:`Automatic Cluster Setup page <cluster-cloud>`.
We provide an `example config file <https://github.com/ray-project/ray/tree/master/doc/examples/lm/lm-cluster.yaml>`__ (``lm-cluster.yaml``).
In the example config file, we use an ``m5.xlarge`` on-demand instance as the head node, and use ``p3.2xlarge`` GPU spot instances as the worker nodes. We set the minimal number of workers to 1 and maximum workers to 2 in the config, which can be modified according to your own demand.