Resource Commands

Use resource commands to configure resources to run ML jobs. Data sinks, datasets, training experiments, and prediction deployments all require resources to run their jobs. The CPU, memory, or GPU resources may be configured for each data sink, dataset, training experiment, or prediction deployment before issuing the start command.

If resources are not configured, default resource settings will be applied. If resources are unavailable, the respective jobs will remain scheduled until resources are available.