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→Logging console output of our program
This should give you an idea of how powerful this framework is.
== Logging console output of our program Uploading the final container to the cluster registry ==
Once you are happy with your code, you can upload the container image to the cluster registry just as in the basic tutorial before:
You can now execute this image from any computer which has the nvidia docker infrastructure installed and is logged into our cluster registry. It is ready to be deployed using Kubernetes.
== Monitoring the training process with Tensorboard ==
