inference tokens

The tag inference tokens covers discussions about the computational cost and energy consumption of AI prompts, particularly in Microsoft's Copilot. A recent thread examines Microsoft's estimate that a typical large-language-model query uses 0.16 to 0.60 watt-hours, with a median of 0.31 Wh. This figure is smaller than some popular estimates but still significant for infrastructure planning. The tag focuses on the relationship between inference tokens, energy use, and the broader debate over AI's environmental and operational costs. Topics include token-level efficiency, power consumption per query, and the implications for scaling AI services in enterprise and cloud environments.