Unverified70% confidenceFactTime unknown
传统LLM推理中KV Cache的显存浪费率可达60-80%
1
Sources
70%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
GitHub 8K星：最全LLM资源宝库深度解析
githubWangRongsheng
Related Entities
Related Claims
Unverified传统推理框架为每个请求预分配连续 KV Cache 显存块导致平均浪费率高达 60–80%83% similarUnverified传统KV Cache分配方案因按最大序列长度预分配连续显存块，导致平均显存利用率仅20%-40%69% similarUnverified传统 LLM 推理中因需按最大长度预留显存，KV Cache 的实际利用率通常不到 30%62% similarUnverified推理时的KV缓存、激活值缓冲区和中间计算状态会额外占用30%-50%显存62% similarUnverifiedH100内存子系统的动态功耗在大模型推理中占比可达整卡功耗的20%～35%62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/32772API
curl https://kongchang.com/api/v1/knowledge/claims/32772MCP
get_claim(id=32772)