This is part 4 in a cool series on The New Stack exploring the Kubeflow machine learning platform.

I recently built a four-node bare metal Kubernetes cluster comprising CPU and GPU hosts for all my AI experiments. Though it makes economic sense to leverage the public cloud for provisioning the infrastructure, I invested a fortune in the AI testbed that’s within my line of sight.

The author shares many insights into the choices he made while building this dream setup.