InferenceCarbon szerző: InferenceCarbon.ai

InferenceCarbon gives you an insight into the carbon cost of your AI conversations. Every query to ChatGPT, Claude, or Gemini uses energy. InferenceCarbon shows you our best estimate -- based on academic research -- of how much carbon that produces, in real time.

How it works:
A small, unobtrusive badge appears on supported AI platforms showing the estimated carbon footprint of each query. Carbon is estimated instantly using research-derived energy consumption data.

Supported platforms:
- Google Gemini (gemini.google.com)
- ChatGPT (chatgpt.com)
- Claude (claude.ai)

What you see
Per-query carbon estimate (gCO2e) with confidence bands
Session totals and daily/weekly summaries
Optional dashboard sync for long-term tracking

Open methodology
Carbon calculations use published energy consumption data from academic research and IEA grid intensity figures. Every estimate includes uncertainty bands so you know the confidence level.

Why it matters
AI usage is growing exponentially, but its environmental cost is invisible. InferenceCarbon makes that cost visible — helping you make informed choices about which models to use and when.

Your prompts and messages are NEVER read, stored, or transmitted.
All data stays on your device or can be synced to our cloud platform for analysis.
Optional anonymous telemetry is disabled by default.
Export or delete your data at any time.

Full privacy policy: https://www.inferencecarbon.ai/privacy