Green AI
Exploring how algorithms, optimisation and AI can reduce carbon footprints in many industries such as buildings, transport, and data centres.
Evidence-based, practical, and slightly opinionated.
How DeepMind Reduced Energy Use in Google Data Centres
How DeepMind Decreased Energy Consumption in Google Data Centres In 2016, DeepMind applied reinforcement learning to Google’s data-centre cooling systems and reportedly achieved up to a 40% reduction in cooling energy use, translating to about a 15% overall reduction in total data-centre energy consumption. The key move wasn’t building new hardware; it was using existing sensors and control systems more intelligently. DeepMind’s agents were trained on historical data from the building management system—temperatures, pump speeds, fan speeds, power readings, weather and workload patterns. The trained model then produced recommended control actions (for example, chillers and cooling tower set-points) that human operators could approve or override, with guardrails to keep the plant within safe operating limits. ...
Hello Green AI
Green AI is about using algorithms and technology to reduce carbon footprints, not increase them. ...