AI training carbon footprint

A variety of common deep learning models benefit from Zeus’ ability to tune GPU power limits and the training batch size. When both parameters were tuned, the software achieved up to 75% energy reduction. Image credit: SymbioticLab, University of Michigan
Cut the carbon footprint of AI training by up to 75% without new hardware or infrastructure