Scientists develop ‘ultrafast magnetic-field pulses’ memory system that could cut AI data center energy use by 100x — and even get close to hitting thermodynamic limits

Researchers at the University of Edinburgh developed a magnetic memory system using ultrafast magnetic-field pulses that could reduce AI data center energy consumption by about 100 times. This method offers a more energy-efficient alternative to current magnetic memory switching techniques and may impact other data storage technologies.