There's a note on the site about being able to move computation to a process on a different machine, but it does mention copying the model. If I understand correctly, I think models tend to be quite small, though.
Does it actually make sense to train a model simultaneously on different machines? I can understand running the same model on lots of machines, of course.
Does it actually make sense to train a model simultaneously on different machines? I can understand running the same model on lots of machines, of course.