The Definitive Guide toAI Data Centers
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Unused power headroom in the training and inference fleets studied by POLCA

~3% training / ~21% inferenceobserved

Value kindobserved — Reported measurements, counts, and specifications keep the precision and scope stated by their source; an exact specification is not treated as a range.
ScopeObserved headroom in the historical fleets POLCA studied (Patel et al., ASPLOS 2024); POLCA separately simulated 30% additional provisioned servers under specific controls. Neither figure is a deployable allowance for a 2026 reasoning, MoE, or disaggregated fleet: derive that from the proposed fleet's measured coincident demand, its tested protection and capping response, and the serving degradation you will allow.
As of2024-04
SourceMicrosoft Research / ACM, Patel et al., Characterizing Power Management Opportunities for LLMs in the Cloud, ASPLOS, April 2024; publisher page gives month precision. · Fleet headroom characterization and §§6.4–6.6; 30% more servers is a separate simulation result
Reviewchecking…review by 2027-04-27 · standard cadence
Recorded changeslast 2026-09-16 · 5 revisions tracked
Claim idpower-oversubscription-headroom-training

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