Do you feel GCP is more seamlessly integrated to TensorFlow than PyTorch? Or is it mostly agnostic? (I'm asking from a pretty ignorant standpoint)
I'm not really experienced with PyTorch in production, but on my experience, Tensorflow feels natural on GCP. They have all kinds of services and support for it. For what I have seen, they have started to work on a framework agnostic machine learning hub. I've not experimented with PyTorch yet, but feels like I'll be doing it in a couple of months.
We're a place where coders share, stay up-to-date and grow their careers.
We strive for transparency and don't collect excess data.