Unverified50% confidenceFactExact time
In long-context scenarios, KV Cache usage roughly doubles as the context window doubles, and compute overhead rises accordingly.
1
Sources
50%
Confidence
Long-term
Relevance
10/21/2026
First Seen
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Related Claims
UnverifiedKV缓存的规律是：上下文长度翻倍缓存大致翻倍，并发满上下文请求翻倍缓存再翻倍77% similarUnverifiedWhen the context length is extended from 4K to 8K, the VRAM occupied by the KV Cache nearly doubles76% similarUnverifiedIn long-context scenarios, the VRAM overhead of the KV Cache can be several times that of the model weights themselves.71% similarUnverifiedThe larger the KV cache, the greater the VRAM pressure and the higher the serving cost.70% similarUnverifiedAccurately estimating a model's VRAM usage requires considering multiple dimensions including KV Cache, inference framework runtime overhead (typically an additional 0.5–2 GB), and activation values.68% similar
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