World Fund, a leading climate tech VC firm, calls for a fundamental redesign of computing to tackle AI's rising energy demands. Transitioning data centers to renewable energy is insufficient; innovative materials and technologies are needed. At Munich's Future of Green Computing event, World Fund and partners proposed cutting-edge solutions, including advanced semiconductors and space-made chips, which promise to enhance energy efficiency in AI applications. Their report identifies 65 startups working toward greener computing, emphasizing the urgent need for a shift from traditional methods to sustainable practices.
"We need to rethink the way we go about computing, from the materials and chips we use to software we run," Daria Saharova, founding partner at World Fund, said at the Future of Green Computing event in Munich today.
The report highlights three key technologies that hold the most potential to decarbonise AI... Gallium Nitride (GaN), Silicon Carbide (SiC), and graphene could significantly reduce AI's energy consumption.
#climate-tech #ai-energy-consumption #sustainable-computing #semiconductor-innovation #green-technology
Collection
[
|
...
]