Example ML model serving API with FastAPI and Docker. Includes training, server-side feature enrichment, health/readiness probes, metrics, and scalable container deployment patterns.

This article aims to explore the deployment strategy and optimization method of ML (Machine Learning) model based on cloud computing, so as to improve the performance of the model in the cloud ...

Kserve, commonly referred to as KFServing, is an open-source serving framework for machine learning (ML) models that runs on Kubernetes. enables the deployment, servicing, and management of ML models ...