Model Serving with BentoML

Day 57 of 100 Days of MLOps. FastAPI + Docker is a great general way to serve models — but BentoML is built specifically for ML serving. Save your model to a versioned store, wrap it in a Service, serve it with one command, and package everything into a Bento — a standardised, deployable bundle of model + code + dependencies that containerizes with a single command. A more ML-native path to the same goal. Runs 100% locally on any OS.