https://web.archive.org/web/20200907164516/https://timdettme...
This post looks very thorough, and came just in time for me. I'm looking to snag an upgrade from my GTX 970 for a mix of flight sim 2020 and digging into Fast.ai's course part 2.
The 970 has been my big hold-up, right now even simple models take a really long time to work with.
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