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This adds the structure described here, namely adding a new section under Ray Clusters which is focused on running applications on Ray clusters. Signed-off-by: Cade Daniel <cade@anyscale.com> Co-authored-by: Stephanie Wang <swang@cs.berkeley.edu>
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(ref-deployment-guide-under-construction)=
Job Submission
:::{warning} This page is under construction! :::
:::{note} (cade@) This was migrated from the old deployment guide :::
This section explains how to set up a distributed Ray cluster and run your workloads on it.
To set up your cluster, check out the {ref}Ray Cluster Overview <cluster-index>, or jump to the {ref}Ray Cluster Quick Start <ref-cluster-quick-start>.
To trigger a Ray workload from your local machine, a CI system, or a third-party job scheduler/orchestrator via a command line interface or API call, try {ref}Ray Job Submission <jobs-overview>.
To run an interactive Ray workload and see the output in real time in a client of your choice (e.g. your local machine, SageMaker Studio, or Google Colab), you can use {ref}Ray Client <ray-client>.
:maxdepth: '1'
job-submission-overview
cli
sdk
rest
ray-client