Introduction Recently I have become interested in better workflows for machine learning projects. One of the main issues I’ve run into is developing locally but not being able to test locally for various reasons. Generally this is from my local computer being a bit slower and older for the types of models and datasets I am working on and not architecting the code from the start to accommodate a slower computer than the server I may actually be training on.