Track experiments: Automatically track code, hyperparameters, training data, weights, metrics, Python dependencies — everything.
Go back in time: Get back the code and weights from any checkpoint if you need to replicate your results or commit to Git after the fact.
Version your models: Model weights are stored on your own Amazon S3 or Google Cloud bucket, so it’s really easy to feed them into production systems.