How we estimate compute from observed power.
A walk-through of Clarke's accelerator-aware FP8 model — and the assumptions we make when a facility hasn't disclosed its silicon mix.
Track AI data centers, normalize power into compute, and monitor what capacity is live, planned, or at risk.
Built from permits, utility records, filings, disclosures, and Clarke Estimates.
ClickTap any data center below to open its profile. Record Pending listings don't have one yet.
See where AI capacity is live, under construction, and planned.
Every facility is geolocated, status-tagged, and source-graded.
Methodology, research, and field reports on the AI infrastructure buildout.
A walk-through of Clarke's accelerator-aware FP8 model — and the assumptions we make when a facility hasn't disclosed its silicon mix.
Where the latest hyperscale and operator capacity is landing — and why ERCOT's interconnection backlog is the next constraint to watch.
The shape of a real signal vs. the noise. How we triangulate phase status from substation, permit, and turbine records.
Why the modeling protocol filed with a state environmental agency tends to predict on-site capacity 9 to 14 months ahead of energization.
What the live 648 MW estimate is built on — and how to think about the spread between Amazon's filings and on-the-ground evidence.
Why a former auto plant in Ohio is the most consequential AI infrastructure announcement of the quarter — even before a single GPU lands.
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