LLMOPS & AI INFRASTRUCTURE • 262 / 397
Operate AI like production: serving, GPUs, latency, capacity, routing and reliability.
Fallback Model
A fallback model is an alternate model used when the preferred model is unavailable or unsuitable.
Think of it like
Think of Fallback Model 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 Fallback Model to keep cost and latency under control.
SRE lens
Degrade gracefully during provider outages.
Remember thisA fallback model is an alternate model used when the preferred model is unavailable or unsuitable.