Approach that schedules computing workloads based on when and where clean energy is available to minimize carbon emissions. Like running heavy tasks when solar or wind power is abundant.
Machine learning training jobs shift to regions and times when renewable energy is plentiful, reducing carbon footprint by 30-50%.