Unverified50% confidenceFactExact time
KV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
1
Sources
50%
Confidence
Long-term
Relevance
8/12/2026
First Seen
Sources
Related Claims
UnverifiedPrompt caching saves pre-computed KV matrices on the server side, reducing the processing of repeated prefixes from O(n²) to O(1) cache reads, enabling up to 90% compression in latency and cost.74% similarUnverifiedKV缓存随上下文长度增加，显存占用可达总显存的60%以上72% similarUnverifiedThe VRAM consumption of the KV cache is proportional to context length, number of model layers, and number of attention heads; under an 8K context, a typical 27B model may consume an additional 2–4 GB of VRAM.70% similarVerifiedThe VRAM occupied by KV Cache grows linearly with sequence length.70% similarUnverifiedKV缓存将已计算的Key-Value矩阵存储在显存中实现增量计算，代价是显存占用随序列长度线性增长69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/735390API
curl https://kongchang.com/api/v1/knowledge/claims/735390MCP
get_claim(id=735390)