What it means
PUE (Power Usage Effectiveness) is the standard efficiency metric for data centers. It is the ratio of total energy drawn by the whole facility to the energy that reaches the IT equipment itself. A PUE of 1.0 would mean every watt goes to compute; anything above that represents overhead from cooling, power conversion and lighting. In effect it scores how much of a data center's power actually reaches the computers. PUE sits at the power layer of the AI supply chain and translates facility design into usable compute and cost per workload. As AI racks get denser and hotter, cooling becomes the dominant source of overhead, so PUE is closely tied to cooling technology. Lowering PUE — often by moving from air to liquid or advanced cooling — directly cuts energy cost per token, which makes it both a hard constraint on facility economics and a competitive lever for efficient operators.
Why it matters to investors
Cooling that pushes PUE toward 1.0 improves the economics of every AI workload in a facility, which is why thermal-management and cooling suppliers are directly exposed to the AI buildout.
Companies on this part of the chain
Named to show where the term sits in the AI supply chain — research, not advice, and never a recommendation to buy or sell.
Related terms
See PUE in the live AI chain.
THE ENTITY maps every constraint onto one live model — which part is tight now, who owns it, and who gets squeezed when it moves. Plain-English reads you can check.
THE ENTITY is an educational read on the AI supply chain — research, not investment advice. It explains how the chain works and who sits where, never price targets or buy/sell calls.