An optimized model sitting on disk has no impact on its own. It only matters once it’s deployed and serving real traffic.
Running a model in production means handling thousands of requests, staying reliable under load, and using compute resources efficiently. That requires more than the model itself. It needs a full stack of supporting infrastructure.
This chapter focuses on the systems that turn a “model ready” artifact into a production-ready serving system.