To begin with PyTorch, you can install it on your local machine, or you can use Google Colab, which offers the added benefit of free GPU access, speeding up your computations significantly.

Ray will be added to existing supported frameworks such as Tensorflow, PyTorch, scikit-learn, and XGBoost. Using Ray, according to Google, will help enterprises reduce costs and boost productivity.