Decentralized Training Can Help Solve AI’s Energy Woes

# AI Training Gets Greener Without Building New Power Plants Training AI models uses massive amounts of electricity, but instead of building more data centers that strain power grids, researchers are exploring "decentralized training"—spreading the work across existing computers and servers scattered around the world, wherever spare computing power and clean energy (like solar panels) are already available. This approach lets companies tap into electricity that's already there rather than demanding that power companies upgrade their infrastructure. It's like having your AI work done by a network of volunteers with their own power supplies instead of needing one giant, energy-hungry facility.