"In each simulated grid event, the data center successfully adjusted its energy use to the requested level. It reduced power draw by up to 40 percent, while critical workloads continued to run as normal throughout the trial."
"This trial proves that NVIDIA-powered infrastructure can act as a grid-aware asset, modulating demand in real-time to support stability. By making AI workloads responsive, we accelerate deployment while reducing the need for costly grid upgrades."
"The data center successfully reacted to spikes in demand during soccer match halftimes. In one case, it reduced its power draw by 10 percent for up to 10 hours. It also managed to cut its demand quickly: One event saw the data center reduce its load by 30 percent in only 30 seconds."
A UK trial demonstrated that AI data centers can adjust their energy demands dynamically in response to grid conditions without compromising critical operations. Over five days in December 2025, a London data center successfully reduced power draw by up to 40% during simulated grid events while maintaining normal workload performance. The facility responded to demand spikes, including reducing consumption by 10% for up to 10 hours during soccer match halftimes and cutting load by 30% in just 30 seconds. This capability contrasts with current always-on power approaches that strain grids and increase costs. The trial involved Emerald AI, NVIDIA, National Grid, Nebius, and the Electric Power Research Institute, and will inform NVIDIA's planned 100MW power-flexible AI facility in Virginia.
#ai-data-centers #grid-flexibility #energy-management #power-consumption #infrastructure-sustainability
Read at Engadget
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