a Gradient notebook is a provisioned Docker image, with Jupyter and specific runtimes installed for ML, is that right?
How does Spaces differ from that? Is a Space another type of provisioned Docker image with specific SDKs for building UIs? If I create a Space with a Docker SDK, I get a container that I can provision running “inside” a HuggingFace container?
I’m trying to build a mental map of these components so I can understand what I should use in different scenarios. Maybe if there was a feature comparison chart for Spaces and Gradient notebooks the lightbulb would turn on for me.