In 7.0, we introduce Gradient Experiments as a main part of the Projects workflow. Run experiments in your projects to train machine learning models on our powerful hardware or in the public cloud with only a couple clicks.
Experiments can either be single-node or multinode. Single-node experiments run on a single chip, whereas multinode or distributed experiments run on multiple processors using the parameter server model. For more information on performing experiments, view the docs.