carbon-intensity-ce07811c·1 events·first seen Aliases: carbon intensity
This paper proposes an incentive framework for AI inference services that accounts for users' valuation of quality, latency, and environmental consciousness. The core mechanism is a two-tier subscription model where users accept discounted service—lower model quality and higher latency—during high carbon-intensity periods in exchange for reduced costs. The framework formalizes the tradeoff space between carbon emissions and quality-of-experience parameters, giving providers flexibility to shift inference load toward greener operating points.