LLMOPS & AI INFRASTRUCTURE • 278 / 397
Operate AI like production: serving, GPUs, latency, capacity, routing and reliability.
KV Cache
KV cache stores attention key/value information from already processed tokens so generation does not recompute everything each step.
Think of it like
Think of KV Cache like familiar infrastructure capacity and traffic engineering, except the scarce resources are often tokens, GPU memory and model latency.
Real life
High-scale AI services depend on KV Cache to keep cost and latency under control.
SRE lens
Long contexts and many concurrent sessions can consume large amounts of GPU memory.
Remember thisKV cache stores attention key/value information from already processed tokens so generation does not recompute everything each step.