Jul 19, 2026 · Artificial Intelligence

Why Most Tokens Are Needlessly Recomputed and How LMCache Goes Beyond KV‑Cache

The article analyzes how up to 62% of tokens in AI agents are redundantly recomputed, explains the limits of prefix caching, and shows how LMCache’s separate‑process architecture and CacheBlend technique dramatically improve KV‑cache hit rates and inference performance.

AI InferenceKV CacheLMCache

0 likes · 9 min read

Why Most Tokens Are Needlessly Recomputed and How LMCache Goes Beyond KV‑Cache

AI Explorer

Mar 3, 2026 · Artificial Intelligence

How LMCache’s Lightning‑Fast KV Cache Slashes LLM First‑Token Latency

LMCache separates the KV cache from a vLLM instance into a shared service, dramatically cutting first‑token latency for repeated text, enabling multiple GPU instances to reuse cached vectors, improving hardware utilization, and supporting use cases such as long‑document QA, multi‑GPU load balancing, and prompt‑engineering, with a quick Docker‑based demo.

DockerKV CacheLLM inference

0 likes · 6 min read

How LMCache’s Lightning‑Fast KV Cache Slashes LLM First‑Token Latency