Creating Infrastructure for Training Machine Learning Models

Let's imagine the following scenario: you get a new project to work on. For this project, you need to develop a machine learning model, which will require running and training several experiments. Each experiment might take several hours or even days and needs to be tracked. You have your own laptop for the development phase, but it's not realistic to use your own laptop for training and running all of the experiments. First, your computer might not have the required hardware, for example, a GPU. Why train on one computer sequentially if you can run and train all the experiments in parallel?