InnoEnergy portfolio company Skeleton Technologies launches GrapheneGPU to address the energy and power infrastructure challenges facing AI data centres. The new product not only cuts AI data centre energy use by 44% but also boosts computing performance by 40%.
Tackling AI’s power problem with scalable innovation
Skeleton Technologies, a global leader in high-power energy storage, has launched GrapheneGPU – a high-performance energy storage and optimisation system designed specifically for AI data centres. Built on Skeleton’s proprietary Curved Graphene technology, this new solution addresses one of the most pressing bottlenecks in AI expansion: energy inefficiency and power infrastructure limitations.
As AI workloads grow exponentially, so does the challenge of powering them efficiently. GrapheneGPU tackles this head-on, reducing energy use by up to 44% and boosting computing performance by 40%. By smoothing out the extreme fluctuations in power demand that GPUs are known for, it eliminates the need for energy-wasting dummy loads and eases pressure on cooling systems and grid infrastructure.
Validated under real-world hyperscaler workloads, GrapheneGPU is now production-ready, with first shipments scheduled for June 2025 from Skeleton’s manufacturing site in Germany. U.S. production is set to follow in early 2026.
“A fundamental shift in how AI infrastructure can scale”
“As AI computing and energy demands double annually, AI data centres are facing a critical bottleneck,” says Taavi Madiberk, CEO of Skeleton Technologies. “GrapheneGPU delivers up to 40% more computing with the same energy footprint, while cutting both capital and operating costs by reducing grid upgrade needs, energy waste, and cooling. Powered by our patented Curved Graphene, this is a fundamental shift in how AI infrastructure can scale – sustainably and economically.”
The product combines Skeleton’s advanced supercapacitor technology with AI-driven power management software, helping data centres operate more efficiently and avoid costly grid upgrades.
Powering sustainable AI growth
AI data centres are fast becoming major drivers of global electricity demand. With limited grid capacity, infrastructure delays, and significant energy waste, these facilities already consume up to twice the energy they actually use. According to the International Energy Agency, electricity use by AI data centres could reach 945 TWh by 2030, placing heavy pressure on energy systems and climate targets.
At InnoEnergy, we are proud to have supported Skeleton Technologies on their journey from breakthrough material science to real-world impact. From grid and transportation to mission critical applications like space and fusion, Skeleton has already proven its technology in some of the world’s most demanding sectors.
Now, with GrapheneGPU, Skeleton brings the same expertise to the fast-growing world of AI data centres – cutting energy waste, improving efficiency, and helping ensure AI can scale sustainably.
