The Definitive Guide toAI Data Centers
Ask the GuideAboutAccount
Guide › Numbers register › Claim

synchronized GPU power swing between the compute and communication phases of a large training job, at site or multi-site scale

tens to hundreds of MWestimate

Value kindestimate — Interpret this value according to its displayed kind, scope, source, and as-of date.
ScopeThe authors' estimate of swing size at scale, not a measured ramp rate. Their concern is the swing's frequency, which can excite grid or generator modes. Meta reported swings of tens of megawatts on its Llama 3 training run (Chapter 4.8).
As of2025-08
SourceNVIDIA/Microsoft/OpenAI, Power Stabilization for AI Training Datacenters (arXiv 2508.14318, Aug 2025) · arXiv 2508.14318 §I Introduction ("At scale, these swings can amount to tens or hundreds of megawatts"); §II-C (GPU power runs near TDP in compute and near idle in communication)
Reviewchecking…review by 2027-08-20 · standard cadence
Recorded changeslast 2026-10-16 · 3 revisions tracked
Claim idsynchronized-gpu-power-swing-per-load-step

Where the guide uses it

← Full numbers register — every date-stamped figure in the guide, with revision history.