LLMOPS & AI INFRASTRUCTURE • 307 / 397
Operate AI like production: serving, GPUs, latency, capacity, routing and reliability.
Cache Miss
A cache miss occurs when the system must compute or fetch the result because it is not cached.
Think of it like
Think of Cache Miss 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 Cache Miss to keep cost and latency under control.
SRE lens
Sudden miss-rate increases can raise provider traffic and spend.
Remember thisA cache miss occurs when the system must compute or fetch the result because it is not cached.