Model Serving with KServe: A Complete Guide to Kubernetes-Native Inference
Join me in this deep dive into KServe, the Kubernetes-native platform for model inference. Learn how to bridge the gap between development and production by serving Scikit-Learn models directly from S3, tracked by MLflow. We cover everything from configuring secure IAM roles and Kubernetes Secrets to deploying serverless InferenceServices and testing with the V2 Inference Protocol. Plus, we build a custom Streamlit client for end-users!