How do I set up a Tensorflow cluster using Google Compute Engine Instances to train a model?

Question

I understand can use docker images, but do I need Kubernetes to create a cluster? There are instructions available for model serving, but what about model training on Kubernetes?

Answer 1

You can use Kubernetes Jobs to run batch compute tasks. But currently (circa v1.6) it's not easy to set up data pipelines in Kubernetes.

You might want to look at Pachyderm, which is a data processing framework built on top of Kubernetes. It adds some nice data packing/versioning tools.