Design an Inference Pipeline

Design an end-to-end production inference platform that delivers real-time predictions from machine learning models to downstream consumers. The architecture should explain the following: How online prediction requests are accepted and dispatched to the correct model. How trained model artifacts are stored, versioned, validated, and promoted to serving environments. How features are retrieved or computed when a request is processed. How the platform achieves low latency,…