[vukadinovic]

I have been using Google Colab and AWS for 'big' personal projects while I use my PC to train light models. Colab is neat because it's free and I like the style of their notebooks. However, you cannot always find available GPU and I wouldn't recommend free Colab for anything else than learning and experimenting with ML. I have been using AWS Ubuntu server set up with PyTorch and had OK experience, but you need to be careful about pricing and set up policies, as well as remember to turn off your machines when you're not working on them if you don't want your credit card to blow up. In the future, I might give Google Colab Pro a try, but most of the work now I do on the company's server.

Anecdote: When I was taking the 'Computing For Data Science' class, we had a task to learn to use AWS tools like SageMaker, NLP bot or DeepRacer and present it in the class. The professor was also new to the whole AWS ecosystem. He opened many instances and left them running for a week which ended up taking 1000$ from bank account.. (Moral of the story: don't use aws with the card where all your money is)