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→Running actual workloads on the cluster
# python ./main.py
</syntaxhighlight>
== Accessing ports on the pod from your own system ==
Some monitoring tools for deep learning use ports on the pod to convey information via a browser interface, an example being Tensorboard. You can forward these ports to your own local host using kubectl as a proxy. Follow the [https://kubernetes.io/docs/tasks/access-application-cluster/port-forward-access-application-cluster/ tutorial here] to learn how it works. Then, you can access the pod services on "http://localhost:<port-you-forwarded-to>". You could even create containers which provide interactive environments via a web interface, e.g. a Jupyter notebook server.
