LLMOPS & AI INFRASTRUCTURE • 299 / 397

Operate AI like production: serving, GPUs, latency, capacity, routing and reliability.

Autoscaling

Autoscaling adjusts serving capacity according to load or resource signals.

Think of it like

Think of Autoscaling 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 Autoscaling to keep cost and latency under control.

SRE lens

Scale model replicas using queue, concurrency, GPU utilization and startup time, not CPU alone.

Remember thisAutoscaling adjusts serving capacity according to load or resource signals.

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