Great article. While I only had time to skim the article, I'll still offer my uninformed opinions. :) None of the hw I own is particularly great. I don't even o

Great article. While I only had time to skim the article, I'll still offer my uninformed opinions. :) None of the hw I own is particularly great. I don't even own a decent GPU. But I don't need to because you can train your models for FREE on Google Colab's TPUs and GPUs. PyTorch's TPU support is still not that great while TensorFlow's is maturing. It's obviously a priority for Google to make TensorFlow work well on their own hardware. So for me the choice is TF 2 because I can train models 5-10x faster using Google's TPUs than if I had used PyTorch. I know the PyTorch developers are working on TPU support but last I checked (this spring) it wasn't there yet and I wasn't able to make it work well on Google Colab.