Google Unveils AI Inference Impact Metrics, Boosting Sustainability
Summary
Google unveils AI Inference Impact Metrics, a methodology quantifying the energy, emissions, and water footprint of AI inference tasks like Gemini text prompts, revealing median energy use of 0.24 watt-hours and emissions of 0.03 grams of carbon dioxide per prompt.
Key Points
- Google releases a methodology for measuring the energy, emissions, and water impact of AI inference like Gemini prompts
- Gemini's median text prompt uses 0.24 watt-hours of energy, emits 0.03 grams of carbon dioxide, and consumes 0.26 milliliters of water
- Google employs techniques like efficient model architectures, optimized algorithms, custom hardware, and ultra-efficient data centers to dramatically improve AI efficiency