How about using Kubeflow? I am not a user of Kubeflow, so might be misinterpreting it. But here is my understanding. Requirement: Use the notebooks used on lap

How about using Kubeflow? I am not a user of Kubeflow, so might be misinterpreting it. But here is my understanding. Requirement: Use the notebooks used on laptops in production. Be able to scale as needed. Multi-cloud. Kubeflow: Kubeflow basically breaks down the notebook into chunks of images, which run as separate pods. These pods are scheduled by Argo workflow - called pipeline. Kubeflow serving enables you to expose the note book as an API. You can schedule different pods w/ different specs, including GPU. If that meets your need, then you need a simple way to run on laptops - look for miniflow. There is a tool that is translate from notebook to images directly, so your data scientists do not need to write YAML. Look for miniKF + Kale. Hope this helps.