Kv Cache Trend 2026

Key-Value (KV) cache is a memory technique in transformer models that stores previously computed attention keys and values, eliminating redundant calculations during autoregressive decoding. It accelerates inference for large language models (LLMs) by reusing cached data, reducing latency and computational cost. Developers and AI engineers benefit from faster text generation, enabling real-time applications like chatbots and code assistants.