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The cached attention keys and values from previously processed tokens in a transformer inference run. The KV cache lets autoregressive decoding skip recomputing attention over the prefix on every step, making the per-token cost roughly constant rather than growing with sequence length.
KV cache management is the single largest factor in LLM serving cost and throughput. Engineers operating production endpoints have to understand KV cache memory pressure, PagedAttention, and the cache hit-rate effects of prompt design.
The cached attention keys and values from previously processed tokens in a transformer inference run. The KV cache lets autoregressive decoding skip recomputing attention over the prefix on every step, making the per-token cost roughly constant rather than growing with sequence length.
KV cache management is the single largest factor in LLM serving cost and throughput. Engineers operating production endpoints have to understand KV cache memory pressure, PagedAttention, and the cache hit-rate effects of prompt design.
Definitions are original explanations written for career development purposes. For authoritative technical definitions, refer to NIST, ISO, or the relevant standards body.
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