Unverified50% confidenceFactExact time
长文档处理中，KV Cache机制导致显存占用随上下文长度近似平方级增长
1
Sources
50%
Confidence
Long-term
Relevance
7/10/2026
First Seen
Sources
Real-World Comparison of 6 Open-Source LLMs for On-Premise Deployment: A Selection Guide to Avoid Pitfalls
bilibili懂算力的Strong哥7/8/2026
Related Claims
UnverifiedThe KV Cache (key-value cache) mechanism accelerates inference by caching the Key and Value vectors generated by the self-attention layer to avoid redundant computation, but the longer the context, the more vectors must reside in VRAM, causing memory pressure to grow in a near-linear fashion.73% similarUnverified推理时需要额外的KV Cache显存，意味着实际资源占用可能高于模型文件本身72% similarUnverified推理过程中动态增长的KV Cache会持续占用显存，长对话时可能突然触发OOM崩溃71% similarUnverified在推理阶段内存带宽往往比纯算力更早成为瓶颈，注意力机制需在每步生成时读取全部KV缓存，上下文长度增大时内存读写开销呈平方级增长71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/468209API
curl https://kongchang.com/api/v1/knowledge/claims/468209MCP
get_claim(id=468209)