The Definitive Guide toAI Data Centers
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share of GPU VRAM the KV-cache consumes at 1M-token context

70–90%estimate

Value kindestimate — Interpret this value according to its displayed kind, scope, source, and as-of date.
ScopeA secondary-source range for 1M-token context, not a measurement of a named deployment. KV share follows from layers, KV-head count, head dimension, precision and per-rank sharding; derive it for the served model and its parallelism layout rather than importing this band.
As of2026
SourceSpheron / DigitalApplied KV optimization guides
Reviewchecking…review by 2026-08-16 · standard cadence
Recorded changeslast 2026-06-29
Claim idshare-of-gpu-vram-the-kv-cache-consumes-at-1m

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