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GrapheneGPU Cuts AI Data Centre Energy Use by 44% and Boosts Computing Power by 40%

Summary by theenergyst.com
Skeleton Technologies, a leader in high-power energy storage, launches GrapheneGPU, a high-performance system designed to solve the key challenge of AI growth: energy inefficiency and power infrastructure limitations. Skeleton claims its proprietary Curved Graphene material reduces AI energy consumption by up to 45% and lowers power connection requirements by 44%, while boosting computing performance in FLOPS by 40%. By cutting energy use and pe…
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Supercondensers are designed to buffer electricity fluctuations and avoid meaningless tasks Markranstädt, 20 June 2025. According to the automotive sector, "Skeleton Technologies" aims to open up new target industries for its graph-based energy storage systems: Small AI-controlled supercondensers are designed as so-called "GrapheneGPU batteries" to compensate for the energy peaks and valleys in large data centers and thus to free up more compute…

With the use of the supercapacitor-based high-performance storage system, the energy consumption of AI data centers is to be reduced by 44 percent while at the same time increasing computing power by 40 percent. This enables control software that stores energy during idle times and delivers it at peak times. The electricity demand for data centers is enormous and will continue to rise strongly in the coming years. The International Energy Agency…

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pv magazine Deutschland broke the news in on Friday, June 20, 2025.
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