Carbon-Aware Computing: Measuring and Reducing AI's Environmental Impact

This research introduces new methodologies for measuring and reducing the carbon footprint of AI computations across different computing environments.

The study presents tools and techniques for accurate carbon impact assessment of AI workloads, considering factors such as hardware efficiency, datacenter location, and time-of-day energy mix.

The authors provide practical recommendations for implementing carbon-aware computing practices in AI development and deployment.