Glossary · AI
What is
KV Cache?
A runtime cache of attention key/value tensors that speeds up sequential token generation.
By Anish· Founder · Vedwix
·Definition
During generation, transformers cache the key and value tensors of all previous tokens so they don't need to be recomputed each step. The KV cache is what makes per-token generation tractable. KV cache management (paging, eviction, deduplication) is a major area of inference optimization.
Example
For a long chat, the KV cache holds tens of thousands of tokens; managing it well is the difference between snappy and sluggish.
How Vedwix uses KV Cache in client work
When self-hosting models, KV cache settings are tuned for the workload — chat vs. batch vs. agentic.
Building with KV Cache?
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