Is there a good description of which use-cases this is good for, and what it's not so good for?

I do NLP and ML, and want to spin up libraries as APIs.

If I have a Dockerized library that is stateless but requires a 20GB model file, should I not use Cloud Run?

If I have an API based upon tensorflow uses a GPU, should I not use Cloud Run?