GreenPassport: Request-Level Carbon Accounting for Cross-Border AI Inference

The research introduces GreenPassport Carbon Accounting (GPCA), a novel framework designed for request-level carbon accounting in cross-border AI inference. It addresses the inadequacy of regional averages by accounting for specific serving hardware, electricity sources, and network delivery for each AI request. GPCA estimates carbon emissions from both serving and network routing, providing detailed, request-specific environmental impact data.

This development is crucial for organizations seeking to accurately measure and manage the environmental footprint of their AI operations, especially as AI adoption grows and operations become increasingly distributed across different geographies. It provides a granular accounting method that can inform strategic decisions on infrastructure placement, energy procurement, and compliance with emerging environmental regulations, offering a competitive advantage through transparency and sustainability.

AI inference frequently involves cross-regional data transfers, where prompts and generated tokens traverse remote data centers.

Forward consideration, not a verified fact.