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  5. KV Cache
Inference & Deploymentaka key-value cache

KV Cache

Stored key-value tensors from previous tokens that avoid recomputing attention at each step.

Ask Melo about this← all terms

The stored key and value tensors from previous tokens that let the model attend to its full context without recomputing attention from scratch at each step — the main memory bottleneck for long contexts.

Related terms

PrefillDecodePrompt CachingContext LengthvLLMTensorRT-LLM

Where KV Cache comes up

  • DeepSeek V4.1 Flash Cuts KV Cache HBM by ~75% — What Changed
  • TypeSafe's Founder Published Coding-Agent Notes. The KV-Cache Math Is the Part Worth Reading.
  • LingBot-Map: Streaming 3D Reconstruction at 20 FPS — Robbyant GCT Guide (2026)
  • OpenAI Jalapeño: First AI Chip Built from Scratch for LLM Inference, Co-Developed with Broadcom