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 LLM Fine-Tuning with FSDP, DeepSpeed, and Ray

02 . 19 . 2026  ,  04:30 PM (PST)

Getting Started with Distributed Training at Scale

01 . 28 . 2026  ,  04:30 PM (PST)

Live Virtual Hands On Lab: Building Scalable AI with Ray

12 . 11 . 2025  ,  06:00 PM (PST)