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

Scaling Robot Policy Evaluations to Thousands of Parallel Simulations

07 . 22 . 2026  ,  03:30 PM (PST)

Anyscale on Azure: Build and deploy AI at scale in your own tenant

06 . 16 . 2026  ,  03:30 PM (PST)

How Torc Robotics Scales Multimodal AI for Autonomous Driving with Ray

06 . 10 . 2026  ,  03:30 PM (PST)