Framework evaluates electrical capacity allocation in data centers, suggesting improved computing deployment strategies.
The rapid growth of high-density computing workloads, particularly artificial intelligence infrastructure, has increased pressure on electrical grid capacity supporting data centers. In many regions, the primary constraint on new computing deployment is no longer floor space or server density but the amount of electrical capacity provisioned to the facility by the local utility grid. Traditional metrics such as Power Usage Effectiveness (PUE) evaluate operational energy efficiency but do not address how provisioned electrical capacity is structurally allocated within a facility. Power Compute Effectiveness (PCE) is introduced as a structural infrastructure metric that quantifies the proportion of provisioned facility electrical capacity that can be sustainably allocated to IT compute load under a declared redundancy configuration. PCE evaluates infrastructure capacity allocation using provisioned electrical design values rather than operational energy consumption. This framework enables transparent evaluation of infrastructure improvements that increase deployable compute capacity without increasing utility interconnection capacity.This document provides the foundational definition of the Power Compute Effectiveness (PCE) metric for data center electrical capacity allocation.
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Quigley et al. (2026) studied this question.
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