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Token Thermodynamics
by gpavanb·Apr 30, 2026·4 points·0 comments
AI Analysis
●MidNiche Gem
Notebook calculates water usage per token, but lacks interactive tooling.
Strengths
- •Shifts focus from cost/speed to environmental impact of inference.
- •Step-by-step methodology allows others to verify the energy calculations.
Weaknesses
- •Static notebook on Binder lacks the interactivity of a dedicated dashboard.
- •Data likely relies on estimates rather than direct metering of hardware.
Category
Target Audience
Researchers and engineers concerned with AI sustainability
Similar To
CodeCarbon · Green Software Foundation tools
Post Description
We often focus on tokens/second and dollars/token, but rarely on the environmental cost per token. This work presents a step-by-step analysis of the energy and water footprint of LLM inference.
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