Unverified75% confidenceFactTime unknown
传统LLM推理中，KV Cache的内存管理导致60%-80%的GPU显存被浪费
1
Sources
75%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
Cube Studio深度解析：腾讯开源一站式MLOps平台
githubtencentmusic
Related Entities
Related Claims
Unverified传统LLM推理中KV Cache的内存管理导致60%-80%的显存被浪费92% similarUnverified传统KV缓存实现预先分配最大长度连续显存块，导致平均60%-80%的预分配内存被浪费81% similarUnverified量化KV Cache（压缩为INT8或INT4）可将缓存内存降低50-75%，但主流推理框架支持成熟度参差不齐74% similarUnverifiedPagedAttention将KV Cache的内存利用率从不足40%提升至接近100%73% similarUnverifiedvLLM通过PagedAttention技术将KV Cache的内存碎片率从60%以上压缩至接近零，在高并发场景下可将推理吞吐量提升数倍71% similar
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