Mlflow Model Serving

Discover the Efficiency of Serving Multiple Models through a Single Endpoint with MLflow. Dive into Optimized Model Deployment and Streamlined Workflows. Join us in this Tutorial to Unleash the Full Power of MLflow!
Repo Link: github.com/manuelgilm/mlflow_for_ml_dev/tree/mlflow_for_ml_dev_legacy

More MLflow videos here:
youtube.com/playlist?list=PLQqR_3C2fhUUkoXAcomOxcvfPwRn90U-g

  • 19. Serving Multiple Models to a Single Serving Endpoint Using MLflow. ( Download)
  • MLflow Model Serving ( Download)
  • Instant Model Serving with MLFlow in Databricks ( Download)
  • Productionzing ML Model Using MLflow Model Serving ( Download)
  • MLflow Model Serving @ Data + AI Summit Europe Meetup ( Download)
  • Mlflow tracking, models and serving ( Download)
  • Model Serving using MLFlow Model Registry | MLFlow 2.0.1 | Live Demo | Part 2 | Ashutosh Tripathi ( Download)
  • MLFlow Tutorial | Hands-on | ML Tracking and Serving ( Download)
  • Databricks: Choosing between a model serving endpoint and an MLFlow UDF for machine learning ( Download)
  • Mlflow - Zero downtime model deployment with mlflow model registry, docker and fastAPI ( Download)
  • Practical Tutorial: Mastering MLFlow, Model Serving with MLServer & Flask | Step-by-Step Guide ( Download)
  • MLflow Model Tracking and Model Registry ( Download)
  • Deploying LLMs on Databricks Model Serving ( Download)
  • MLOps: Inference model serving overview, Session 2, part 9 ( Download)
  • MLFlow: A Quickstart Guide ( Download)