KV Cache
Industry Definition Set • Entity Resolution Path: /glossary/kv-cache
Quick Answer / TL;DR
A caching mechanism that stores key-value pairs from previous transformer attention computations to speed up LLM inference by avoiding redundant calculations.
Key Takeaways
- Stores attention key-value pairs to speed up inference.
- Avoids redundant computation across tokens.
- Size grows with sequence length and model dimensions.
- Critical for long-context MCP agent conversations.
Definitive Statement: A caching mechanism that stores key-value pairs from previous transformer attention computations to speed up LLM inference by avoiding redundant calculations.
Technical Context & Protocol Usage
- Detailed Explanation
- During autoregressive generation, the KV cache stores the key and value tensors from previous tokens. This avoids recomputing attention for the entire context on every new token, dramatically speeding up generation. KV cache size is proportional to sequence length and model dimensions. In MCP systems with long conversations or many tool results, KV cache management is critical for performance.
Format & Payload Metadata
Format: In-memory tensor storage (key-value pairs per layer)
Latency: Reduces per-token latency from O(n^2) to O(n)
Real-World Implementation Use Case
An MCP agent with a 100K token conversation history relies on KV cache to maintain acceptable inference latency during long interactions.
Cite This Page
MLA Style:
MCPserver.in Engineering. "KV Cache." MCPserver.in Knowledge Hub, 20 July 2026, mcpserver.in/glossary/kv-cache.
Related Terms
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