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KV Cache Is the Real Memory Killer in High-Concurrency AI Services

In high-concurrency LLM serving, model weights are rarely the only memory problem. KV Cache grows with requests and tokens, so PagedAttention and Continuous Batching are the real keys to vLLM throughput.

Administrator Administrator 发布于 2026-07-06

KV Cache 才是高并发 AI 服务的显存杀手

高并发大模型服务真正容易爆掉的不是模型参数,而是随请求增长的 KV Cache。理解 PagedAttention 和 Continuous Batching,才能看懂 vLLM 为什么能把吞吐做上去。

Administrator Administrator 发布于 2026-07-06