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CPower, Bentaus and Supermicro Successfully Flex AI Compute Load for Demand Response

CPower Energy ("CPower"), a leading Virtual Power Plant (VPP) platform, and Bentaus, a leading developer of AI-driven energy orchestration platforms, in collaboration with Supermicro (NASDAQ: SMCI), a global leader in Application-Optimized Total IT Solutions, today announced the successful completion of a joint demonstration of how AI compute infrastructure can provide fast, reliable flexibility to the electric grid. In the test, CPower dispatched real-time wholesale electricity market signals f

articleSuper Micro Computer, Inc.February 25, 20263/company/super-micro-computer-inc/news/cpower-bentaus-and-supermicro-successfully-flex-ai-compute-load-for-demand-response
CPower, Bentaus and Supermicro Successfully Flex AI Compute Load for Demand Response

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[{"type":"text","content":"Joint test proves GPU-based workloads can be real-time grid resources as power demand for AI surges tenfold","length":107,"tagName":"p","attribs":{}},{"type":"text","content":"BALTIMORE and DALLAS and SAN JOSE, Calif., Feb. 25, 2026 /PRNewswire/ -- CPower Energy ("CPower"), a leading Virtual Power Plant (VPP) platform, and Bentaus, a leading developer of AI-driven energy orchestration platforms, in collaboration with Supermicro (NASDAQ: SMCI), a global leader in Application-Optimized Total IT Solutions, today announced the successful completion of a joint demonstration of how AI compute infrastructure can provide fast, reliable flexibility to the electric grid. In the test, CPower dispatched real-time wholesale electricity market signals from California Independent System Operator (CAISO) through the Bentaus energy orchestration platform to Supermicro-managed GPU infrastructure, which responded to a full dispatch signal cycle in under 20 milliseconds.","length":799,"tagName":"p"},{"type":"image","alt":"CPower Energy (PRNewsfoto/CPower Energy)","displaySize":"","headline":null,"caption":"CPower Energy (PRNewsfoto/CPower Energy)","className":"","disableSlideshowImg":false,"size":{"original":{"width":400,"height":85,"url":"https://media.zenfs.com/en/prnewswire.com/fe8c7c4d649df98e0434a529bbdcfa92"},"resized":{"url":"https://s.yimg.com/ny/api/res/1.2/v3ZGSPpVTuCgqK7RaUNSiQ--/YXBwaWQ9aGlnaGxhbmRlcjt3PTcwNTtoPTE1MDtjZj13ZWJw/https://media.zenfs.com/en/prnewswire.com/fe8c7c4d649df98e0434a529bbdcfa92","width":400,"height":85}},"href":"https://mma.prnewswire.com/media/1492238/CPower_v1_Logo.html","hrefExternal":true,"rel":"nofollow"},{"type":"text","content":"As U.S. AI power capacity rises from 5 GW to potentially over 50 GW by 2030, the test's results demonstrate that data centers can contribute to demand response and energy flexibility programs at the server level, providing critical grid relief when demand peaks or prices soar, without compromising operations. The cluster of Supermicro servers with NVIDIA B200 GPUs included in the test maintained AI workloads and service-level agreements while using up to 75% less electricity when responding to grid conditions. This was successfully demonstrated through testing under IT load.","length":585,"tagName":"p"},{"type":"text","content":""The ability to use AI compute load...

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Virtual Power PlantCPowerSupermicroCalifornia Independent System Operatorwholesale electricity marketdemand responseSupermicro serverselectric gridorchestration