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Energy data licenses and attributions

Venturi's energy, carbon, and water estimates are built on open methodologies and public datasets. This page credits those upstream sources and states exactly what Venturi reuses, reimplements, and does not redistribute.

The guiding rule is simple: Venturi reimplements published methodology from primary sources and preserves every upstream license on any data it redistributes. Where a source's data is not licensed for redistribution, Venturi does not redistribute it — it reimplements the method from the primary description instead.

AI Energy Score

The AI Energy Score is a standardized, independent model-energy benchmark maintained by Hugging Face with Salesforce, Cohere, and Carnegie Mellon University. Venturi vendors its published coefficients and ratings as the primary energy tier (T1) and records the benchmark's run-config provenance with every coefficient, as described in the energy methodology. The AI Energy Score name and label are used as reference material under the benchmark's published terms, and standalone ratings link back to the source leaderboard.

CodeCarbon — MIT License

CodeCarbon is an open-source emissions-tracking library released under the MIT License. Venturi uses CodeCarbon as the optional measured-energy backend (tier T0) for self-hosted deployments — ingesting its emissions.csv, BoAmps JSON, and Prometheus metrics — and adopts its documented carbon-resolution method (power = Δenergy / Δhours, the five-step grid-intensity chain, and the world-average fallback). CodeCarbon's own bundled datasets carry their own upstream terms (see Our World in Data and cloud-provider intensities below), which are preserved on any redistribution.

Our World in Data — grid carbon intensity

Per-country grid carbon-intensity and generation-mix figures originate from Our World in Data, as vendored through CodeCarbon's grid-intensity datasets. Where Venturi redistributes these per-country intensities in its catalog, the Our World in Data attribution is preserved, along with the cloud providers' own published per-region intensities.

How-Hungry-is-AI — methodology reimplemented, data not redistributed

The two-term water model, the infra-aware energy estimate (tier T2), the eco-efficiency DEA, and the real-world equivalence divisors are reimplemented from the methodology published in the "How Hungry is AI?" research paper, which is released under CC-BY-4.0. Under CC-BY-4.0 the paper's formulas, constants, and method are reusable with attribution, which this page provides.

What Venturi does not redistribute

Venturi does not redistribute the How-Hungry-is-AI project's CSV datasets or its dashboard. Those artifacts are research/informational-use material, not licensed for commercial redistribution. Venturi reimplements the methodology from the CC-BY-4.0 paper and recomputes its own numbers from primary sources (the AI Energy Score, CodeCarbon, provider sustainability disclosures, and public benchmark results) — it does not ship the How-Hungry-is-AI data files.

Summary

Source Used for License / basis Redistributed?
AI Energy Score T1 energy coefficients + ratings Published benchmark terms Coefficients vendored, named, linked back
CodeCarbon T0 measured-energy ingestion + carbon method MIT Method adopted; bundled data per its upstream terms
Our World in Data Per-country grid intensity OWID terms (via CodeCarbon) Yes, with attribution preserved
How-Hungry-is-AI Water / infra-aware / eco-efficiency methodology + equivalences Paper under CC-BY-4.0 Methodology only — CSVs and dashboard not redistributed

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