2022-08-01 19:30:41 -07:00
|
|
|
(kuberay-examples)=
|
|
|
|
|
2022-07-26 12:00:20 -07:00
|
|
|
# Examples
|
2022-08-01 19:30:41 -07:00
|
|
|
|
|
|
|
:::{note}
|
|
|
|
To learn the basics of Ray on Kubernetes, we recommend taking a look
|
|
|
|
at the {ref}`introductory guide<kuberay-quickstart>` first.
|
2022-08-09 00:38:05 -07:00
|
|
|
|
|
|
|
If you are new to your cloud provider's Kubernetes service, we recommend
|
|
|
|
taking a look at the documentation links collected {ref}`here<kuberay-k8s-setup>`
|
2022-07-26 12:00:20 -07:00
|
|
|
:::
|
2022-08-01 19:30:41 -07:00
|
|
|
|
2022-08-09 00:38:05 -07:00
|
|
|
This section presents example Ray workloads to try out on your Kubernetes cluster.
|
|
|
|
|
|
|
|
More examples will be added in the future. Running the distributed XGBoost example below is a
|
|
|
|
great way to start experimenting with production Ray workloads on Kubernetes.
|
2022-08-01 19:30:41 -07:00
|
|
|
- {ref}`kuberay-ml-example`
|