Sources & Citations

Tokens Per Watt Per Dollar

5 primary sources 4 categories We publish the receipts

NVIDIA AI factory framing

NVIDIA

NVIDIA’s AI factory framing of token economics — the vendor framing that anchors the tokens-per-watt-per-dollar metric’s industry adoption.

NVIDIA — AI Factory blog View source

Federal energy research

LBNL

Lawrence Berkeley National Laboratory 2024 United States Data Center Energy Usage Report — canonical baseline for the energy denominator in tokens-per-watt-per-dollar.

LBNL — 2024 United States Data Center Energy Usage Report View source

Operator survey

Uptime

Uptime Institute Global Data Center Survey 2024 — rack density, PUE, and operator-side data backing the metric’s denominator components.

Uptime Institute Global Data Center Survey 2024 View source

Power demand & cost outlook

Goldman · IEA

Goldman Sachs Research projection on data center power demand growth driven by AI workloads.

Goldman Sachs Research — AI-poised-to-drive-160-increase-in-power-demand View source

IEA Electricity 2026 report on global power demand from data centers and AI.

IEA — Electricity 2026 View source

These are the primary sources behind our research. Have a better one, or spot an error? Tell us — we’ll correct it.