How I built an on-premises AI training testbed with Kubernetes and Kubeflow ↦
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.
Sign in or Join to comment or subscribe