IBM has created anenergy-efficient AI chipthat emulates the human brain’s functionality.

Finding ways tomake AI more eco-friendlyis sorely needed, experts say.

“Each time the model needs to be retrained, more electricity is required.

Green concept; a digital AI chip against a grassy green background.

Green AI tech.Eugene Mymrin / Getty Images

This, too, consumes energy.”

If the chip works as promised, it could help reduce the energy waste triggered by AI.

This amount is almost five times the lifetime emissions produced by an average car.

A gloved hand holding a microprocessor.

Microprocessor.mailsonpignata / 500px / Getty Images

The water usage for cooling data centers during the training and execution of AI models is also substantial.

These devices run hard and hot, and that consumes a lot of power."

Reducing compute costs directly reduces the carbon footprint of the computation.

The Search to Save Energy

Companies areracing to find ways to reduce AI energyconsumption.

Manufacturers are using unique, energy-saving computer parts that are designed just for AI tasks, Shapiro said.

“Reducing compute costs directly reduces the carbon footprint of the computation.”

AI might one day help reduce greenhouse gasses.

The nonprofitOpen Climate Fixwants to develop AI that supports how solar electricity flows to the energy grid.