How KV Cache Works and Why Large Model Outputs Cost Five Times More Than Inputs
The article explains the KV Cache mechanism that stores previously computed key/value vectors to avoid redundant Transformer calculations, delivering roughly a 5× speedup, while also detailing why generating output tokens is far more expensive than processing input tokens due to serial generation and memory trade‑offs.
