Post by Korea Advanced Institute of Science and Technology

KAIST researchers have tackled one of the biggest bottlenecks in AI computing: cooling. As AI accelerators and high-performance chips continue to push computational limits, heat has become a critical challenge. More performance means more power density—and increasingly, more energy spent on cooling. A joint research team at KAIST has developed an ultra-high-efficiency liquid cooling technology that embeds manifold microchannels directly inside a silicon chip, enabling direct cooling with ordinary room-temperature water. Key achievements: ✅ Stable cooling under heat fluxes exceeding 2,000 W/cm² ✅ Record-breaking coefficient of performance (COP) over 106,000 ✅ Approximately 10× higher energy efficiency than the previous state-of-the-art benchmark ✅ No phase-change cooling, exotic materials, or costly diamond heat spreaders required ✅ Compatible with existing semiconductor manufacturing processes (<350°C) The innovation dramatically reduces the pumping power required for cooling while maintaining exceptional thermal performance—an important step toward more energy-efficient AI data centers, HPC systems, advanced semiconductor packaging, and next-generation electronics. As AI infrastructure scales globally, breakthroughs in thermal management may become just as important as advances in computing performance itself. 📄 Published in Energy Conversion and Management (June 2026) Paper: “Highly energy-efficient manifold microchannel for cooling electronics with a coefficient of performance over 100,000” #KAIST #AI #Semiconductors #DataCenters #CoolingTechnology #ThermalManagement #HPC #Engineering #Innovation #ArtificialIntelligence