Mini toolsDefinition
The environmental impact of training and running artificial intelligence systems, measured in carbon dioxide emissions. This includes energy consumption from model training, inference, and supporting infrastructure.
Detailed Explanation
The carbon footprint of AI refers to the total greenhouse gas emissions produced by AI systems throughout their lifecycle. This includes the energy consumed during model training, which can require significant computational resources, especially for large language models. It also encompasses the ongoing energy usage for model inference, data center cooling, and associated infrastructure. The measurement considers both direct energy consumption and indirect emissions from the energy sources used.
Use Cases
Environmental impact assessment of AI projects, Green AI development practices, Energy-efficient model optimization, Sustainable infrastructure planning
