HomeEventsSeamlessly Scaling your ML Pipelines with Ray Serve

Webinar

Seamlessly Scaling your ML Pipelines with Ray Serve

Ray Serve is an open-source library for serving machine learning models at scale.  In this talk, we will demonstrate some new features of Ray Serve, including (1) an integration with the open-source ML lifecycle management platform MLflow, and (2) an easy way to use Ray Serve to scale up an existing Python web server.

Speakers

Archit Kulkarni

Other Events

Introduction to Ray Data - Processing Large Datasets on Heterogeneous Clusters

03 . 26 . 2025  ,  05:00 PM (PST)

Introduction to Anyscale and Ray AI Libraries

02 . 26 . 2025  ,  06:00 PM (PST)

Supercharging AI Platforms with Anyscale

10 . 17 . 2024  ,  05:00 PM (PST)