November 3-5, 2025
|
San Francisco
|
Marriott Marquis

Where AI Builders Shape What's Next

The community-led conference that brings together the best engineers, researchers and open source technologies to advance AI

AI has entered a new phase. The next wave of breakthroughs will come from moving beyond simple LLM serving to building highly differentiated AI—where agents orchestrate complex, multi-stage workflows across multimodal data. Ray Summit 2025 is where AI in production takes center stage. This community-led conference empowers AI builders with the open-source technologies and best practices to design, deploy, and scale the next generation of intelligent systems.

[Ray Summit] is on the front lines of the revolution with machine learning and generative AI.

Christian Stano | Engineering Manager, ML Platform

Our MLInfra team had a great time hearing other success stories and brought back new strategies to improve the speed of delivery on new ML systems.

Stephen MacKinnon | VP of Applied ML

Wow! Awesome! The confluence of the finest brains in AI! No nonsense. Awesome sessions!

Gopal Anantharaman | Principal Engineer

Keynote Speakers

More speakers to be announced

Keerti Melkote

Keerti Melkote

CEO

Robert Nishihara

Robert Nishihara

Co-Founder

Ion Stoica

Ion Stoica

Co-founder and Executive Chairman

Brendan Burns

Brendan Burns

CVP, Microsoft Azure Cloud Native and Management Platform

Chelsea Finn

Chelsea Finn

Assistant Professor in CS and EE, Stanford University and Co-Founder, Physical Intelligence (Pi)

Jimmy Ba

Jimmy Ba

Co-Founder, xAI

Summit Overview

Learn more about Anyscale's LLM suite.

Nov 3

Training

Join fellow Ray practitioners for a day of hands-on training, with morning and afternoon sessions led by Ray experts.

Nov 4

Summit Day 1

The first day of conference events – day 1 will include a mix of keynotes from industry-leading experts, breakouts from fellow practitioners, and more.

Nov 5

Summit Day 2

The Summit caps off with a final day of keynote speakers, customer highlights, and breakout and lightning sessions.

Learn More

Ray Training Day | Nov 3

Learn Ray from the experts who build and maintain it.

Kick off Ray Summit with a full day of immersive, expert-led training. These code-first workshops will level up your skills in distributed computing, model training, and GenAI infrastructure. Taught by the engineers who build Ray, this day is designed to help you not just use Ray, but master it.

You'll get hands-on with topics like:

End-to-end distributed ML workflows

Scalable data pipelines with Ray Data

High-performance training with Ray Train

Model serving with Ray Serve

LLM inference optimization with vLLM

Learn More

Summit Tracks

Ray Ecosystem

Explore tools and integrations that expand Ray's ecosystem

Production Use Cases

Success stories about how your team scaled Ray effectively, taking it from theory to practice

Ray Applications

Sessions sharing how teams are powering diverse AI/ML applications with Ray's scalable computing capabilities.

Research Frontiers

Explore the future of distributed computing through pioneering research.

  • Robotics
  • Biology

Generative AI

Build and scale generative AI, and learn how Ray enables large-scale generative AI workflows.

  • LLM
  • Agents
  • MCP

vLLM

Sessions showcasing how to build high-throughput, low-latency inference services using the vLLM library.

Multimodal Data

Presentations on integrating and analyzing multimodal datasets, whether that be image, text, video, with Ray.

Post-Training & Reinforcement Learning

Talks on advanced model adaptation techniques and reinforcement-learning strategies using Ray.

FAQs

Ray Summit is the leading AI event for machine learning practitioners, data scientists, developers, MLOps professionals, and architects — and anyone else who wants to learn about building and deploying large-scale applications, especially in AI and machine learning. The summit brings the global Ray community together to learn the fundamentals, explore new use cases, share best practices, and discuss the future of AI.