Our approach to energy innovation and AI’s environmental footprint
Summary
Google discusses its strategy for AI energy efficiency, including a new methodology for measuring the energy, water, and carbon emissions of its AI models.
Key quotes
Over a 12-month period, while delivering higher-quality responses, the median energy consumption and carbon footprint per Gemini Apps text prompt decreased by factors of 33x and 44x, respectively.
The post outlines Google’s multi-layered approach to reducing the environmental impact of AI through infrastructure investment, grid resilience, and hardware/software efficiency. It highlights a technical report on measuring AI emissions.