New tools are available to help reduce the energy that AI models devour

Abstract

The MIT Lincoln Laboratory Supercomputing Center (LLSC) is developing techniques to help data centers reel in energy use. Their techniques range from simple but effective changes, like power-capping hardware, to adopting novel tools that can stop AI training early on. One of their techniques can reduce the energy of training AI models by 80 percent. Their work is mobilizing green-computing research and promoting a culture of transparency.