Have you tried using Google Colab and other online platforms? I started the course a few days ago and so far Colab works well (I don’t really like Jupiter but that’s a detail...). It’s free and you have the choice between a CPU, a GPU, and a TPU.

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

Go for it! I have my own Jupyter docker image that I run on a server in the basement. PyCharm can even do code completion for TensorFlow inside a remote docker container. So it's instant, reproducible, and I don't hear a thing in my office :)

Thank you for posting the archived link. I read it of this archive page, and it's great. This article is so good, that it made to the HN front page without even being available!