Unverified50% confidenceSolutionExact time
路由型推理服务商若将连续请求路由到不同物理节点，之前计算好的KV Cache无法被复用，可通过粘性路由或分布式KV Cache存储解决
1
Sources
50%
Confidence
Long-term
Relevance
8/15/2026
First Seen
Sources
Related Claims
UnverifiedPrompt Caching reduces latency and token costs by reusing the KV Cache of identical prefixes to skip redundant computation.65% similarUnverified在100K+ Token长上下文场景下KV Cache可能成为显存瓶颈，催生了GQA、PagedAttention等优化技术65% similarUnverifiedvLLM引入PagedAttention技术将KV Cache分割为固定大小物理块按需分配，而llama.cpp采用预分配策略在模型加载时一次性保留完整KV Cache空间64% similarUnverifiedTraditional LLM inference engines have severe memory fragmentation issues when handling KV Cache; for a 13B parameter model, the KV Cache for a single request may occupy several GB of memory, while the actual utilization rate may be below 50%.64% similarUnverified上下文越长，模型需要缓存的 KV Cache 越大，KV Cache 使模型生成新 Token 时无需重新计算所有历史 Token 的注意力权重63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/753259API
curl https://kongchang.com/api/v1/knowledge/claims/753259MCP
get_claim(id=753259)