东京大学研发了一种新型芯片组件,其处理数据速度较传统方法提升1000倍,且不产生额外热量。关键突破在于功耗仅为现有技术的百分之一,这理论上能使一个谷歌规模的数据中心能耗降低至当前的百分之一,极大缓解AI行业的能源压力。然而,该芯片原型预计2030年才问世,商用化需更长时间,凸显了AI快速发展与突破性节能技术量产时间之间的差距。
University of Tokyo built a chip component that processes data 1000x faster than conventional methods - without generating extra heat.
The real number worth paying attention to: power consumption drops to 1/100th of current levels. A Google-scale data center that today powers 80,000 homes could theoretically run on the energy of 800.
But the prototype chip isn't scheduled until 2030, and commercial availability is years beyond that. We're watching the AI industry sprint toward an energy wall at full speed while the most promising efficiency breakthroughs are still a decade from production. via techradar