Quite different tech stack for APIs. DL requires some kind of model server with GPU. For traditional ML use Lambda or FastAPI on a server.

For batch processing it's more similar, depending on your data size, you might not need a GPU even for Deep learning.

Also deep learning is usually unstructured data, which requires different storage and training infrastructure.

You can read books about that topic however at the core that's the difference a that's why a lot of companies still don't utilize DL.