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
Shaping the future of AI
The builders shaping the future of AI infrastructure are meeting in San Francisco – where code, models, and real-world systems collide. Ray Summit is the only conference where open source contributors, production ML teams, and infra leaders come together to share what’s working, what’s breaking, and what’s next. If you're building systems that needs to perform under pressure, this is the conference you can’t afford to miss.
“[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
Featured Speakers
Chelsea Finn
Assistant Professor, Stanford; Co-Founder, Physical Intelligence (Pi)
Chelsea Finn
Assistant Professor, Stanford; Co-Founder, Physical Intelligence (Pi)
Jim Fan
Director & Distinguished Research Scientist, NVIDIA
Jim Fan
Director & Distinguished Research Scientist, NVIDIA
Ludwig Schmidt
Assistant Professor, CS @ Stanford; Member of Technical Staff, Anthropic
Ludwig Schmidt
Assistant Professor, CS @ Stanford; Member of Technical Staff, Anthropic
Simon Mo
Lead vLLM
Simon Mo
Lead vLLM
Ion Stoica
Co-founder & Executive Chairman, Anyscale
Ion Stoica
Co-founder & Executive Chairman, Anyscale
Devendra Chaplot
Member of Technical Staff, Thinking Machines
Devendra Chaplot
Member of Technical Staff, Thinking Machines
Brendan Burns
CVP, Microsoft Azure Cloud Native & Management Platform
Brendan Burns
CVP, Microsoft Azure Cloud Native & Management Platform
Johannes Hagemann
Co-founder & CTO, Prime Intellect
Johannes Hagemann
Co-founder & CTO, Prime Intellect
Artem Kazakov
AI / ML Technology Architect, Bridgewater Associates
Artem Kazakov
AI / ML Technology Architect, Bridgewater Associates
Tyler Griggs
Graduate Research Student, UC Berkeley Sky Lab
Tyler Griggs
Graduate Research Student, UC Berkeley Sky Lab
Siddharth Kodwani
Software Engineer, ML Infra, Zoox
Siddharth Kodwani
Software Engineer, ML Infra, Zoox
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.
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
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.