Driverless AI supports automatic queuing of experiments to avoid system overload. You can launch multiple experiments simultaneously that are automatically queued and run when the necessary resources become available.
Note: By default, each node runs two experiments at a time. This is controlled by the
worker_remote_processors option in the config.toml file. Additional options that control resource allocation can also be configured in the config.toml file.
Also see Multinode Training (Alpha)