LLMOPS & AI INFRASTRUCTURE • 296 / 397
Operate AI like production: serving, GPUs, latency, capacity, routing and reliability.
Queue Depth
Queue depth is the number of requests waiting for processing capacity.
Think of it like
Think of Queue Depth 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 Queue Depth to keep cost and latency under control.
SRE lens
Rising queue depth often appears before user-visible latency spikes.
Remember thisQueue depth is the number of requests waiting for processing capacity.