KV Cache (Key‑Value Cache)

PerformanceAdvanced

Definition

Cached attention key/value tensors reused across decoding steps to avoid recomputation and reduce latency and cost.

Why "KV Cache (Key‑Value Cache)" Matters in AI

Understanding kv cache (key‑value cache) is essential for anyone working with artificial intelligence tools and technologies. This performance-related concept helps practitioners optimize AI systems for speed, accuracy, and efficiency. Whether you're a developer, business leader, or AI enthusiast, grasping this concept will help you make better decisions when selecting and using AI tools.

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Related terms

KV Cache EvictionLatencySpeculative Decoding

Frequently Asked Questions

What is KV Cache (Key‑Value Cache)?

Cached attention key/value tensors reused across decoding steps to avoid recomputation and reduce latency and cost....

Why is KV Cache (Key‑Value Cache) important in AI?

KV Cache (Key‑Value Cache) is a advanced concept in the performance domain. Understanding it helps practitioners and users work more effectively with AI systems, make informed tool choices, and stay current with industry developments.

How can I learn more about KV Cache (Key‑Value Cache)?

Start with our AI Fundamentals course, explore related terms in our glossary, and stay updated with the latest developments in our AI News section.