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NRG's CPower Announces Successful Flex Of AI Compute Load For Demand Response, Will Collaborate With Several Companies To Accelerate Transition To Grid-Integrated AI Infrastructure

February 25, 2026

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Copyright 2026 EnergyChoiceMatters.com
Reporting by Paul Ring • ring@energychoicematters.com

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CPower Energy, a unit of NRG Energy, and Bentaus, a developer of AI-driven energy orchestration platforms, in collaboration with Supermicro, a global provider of Application-Optimized Total IT Solutions, announced, "the successful completion of a joint demonstration of how AI compute infrastructure can provide fast, reliable flexibility to the electric grid."

The companies said that the joint test, "proves GPU-based workloads can be real-time grid resources as power demand for AI surges tenfold".

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.

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, the companies said

"This successful end-to-end test is a breakthrough, accelerating flexible compute's emergence as a controllable, grid-interactive load, and moving it from the theoretical to the actual," said Michael D. Smith, CEO, CPower.

"The test established a foundational architecture for integrating AI compute into demand response by validating abilities such as translating energy market signals into compute-level orchestration actions, dynamically curtailing and restoring AI workloads across GPU clusters and coordinating compute control with infrastructure lifecycle management," the companies said

CPower, Bentaus and Supermicro will collaborate with data center operators and market participants across multiple U.S. wholesale power markets, including PJM, ERCOT, and SPP, to accelerate the transition to grid-integrated AI infrastructure.

"Demonstrating that GPU workloads can react to market signals in the blink of an eye is an important step toward aligning the growth of AI with the operational realities of the grid. AI factories can evolve from passive consumers of electricity into active participants in wholesale power markets," said Robert Davidoff, CEO, Bentaus.

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