Disclosure (since Colab is a Google product): I work at Google, but everything I say is my personal opinion and experience. I really dig the overall idea of cl

Disclosure (since Colab is a Google product): I work at Google, but everything I say is my personal opinion and experience. I really dig the overall idea of cloud notebooks. Back when I did fast.ai part 1, I used Paperspace Gradient. It was a pretty good experience, but moving files around was a bit of a hassle. For example, getting the images for the Planet Labs exercise took a round trip of downloading from Kaggle to my computer and re-uploading into Jupyter to do analysis. Because of all those moving parts, I decided to give a try running things locally. To my surprise, setup was super easy and I was quickly productive! I really dig how customizable a local Jupyter server is, too. I do use Colab, it's particularly great for collaboration/sharing notebooks, but my past experience has me hooked on the idea of a capable ML machine at home. Plus: I can pitch it to myself and my spouse as an investment in personal development that happens to be able to game :D