_1722956449156001fz1R.png "Anyscale Logo")
Ray Summit 2024
Where Builders Create the AI Future
Sep 30-Oct 2
San Francisco
Marriot Marquis
The Next Generation of AI Infrastructure is being Built and Scaled on Ray
AI is moving faster than ever in the age of LLMs. Hear from the teams and leaders developing the next generation of AI applications. Learn how to develop and deploy LLM and generative AI applications with our hands-on training and tutorials.
2024 Speakers
Kevin Weil
CPO, OpenAI
Marc Andreessen
Co-Founder & General Partner, Andreessen Horowitz
Anastasis Germanidis
Co-Founder & CTO, Runway
Keerti Melkote
CEO, Anyscale
Brandon Leonardo
Co-Founder, Instacart
Robert Nishihara
Co-Founder, Anyscale
Ion Stoica
Co-Founder, Executive Chairman, Anyscale and Professor UC Berkeley
Raluca Ada Popa
Co-Founder and President, Opaque Systems, Inc
John Bicket
CTO & Co-Founder, Samsara
Harrison Chase
Co-Founder & CEO, LangChain
Joe Spisak
Product Director & Head of Gen AI Open Source, Meta
Stephen MacKinnon
Vice President, Applied Machine Learning
SEPTEMBER 30
Hands on Training Day
Learn how to use Hugging Face and LangChain, how to apply transformers and diffusion models, and how to build and deploy AI applications. Level up your skills through hands-on training sessions with the builders, makers, and maintainers of Ray. Exclusive to Ray Summit attendees, we’re now offering a full day of sessions to keep you on the cutting edge of LLMs and generative AI. Space is limited —
reserve your spot now!
Large Scale ML with PyTorch and Ray - Build Cost Efficient and Performant Distributed ML Workflows
AI Apps with Stable Diffusion Models - Data Pipelines, Distributed Pre-Training and Model Deployment
Ray Serve Masterclass - Go to Production with GenAI Models and App Logic Using Single, Coherent API
Ray Core Masterclass: Architecture, Best Practices, Internals
RAG Application Lifecycle - From Quickstart, to Scalable RAG, to Automated Evals
Data Pipelines and Model Fine-Tuning for GenAI
Large Scale ML with PyTorch and Ray - Build Cost Efficient and Performant Distributed ML Workflows
AI Apps with Stable Diffusion Models - Data Pipelines, Distributed Pre-Training and Model Deployment
Ray Serve Masterclass - Go to Production with GenAI Models and App Logic Using Single, Coherent API
Ray Core Masterclass: Architecture, Best Practices, Internals
RAG Application Lifecycle - From Quickstart, to Scalable RAG, to Automated Evals
Data Pipelines and Model Fine-Tuning for GenAI
What to Expect at Ray Summit 2024
Go behind the scenes of some of the most ambitious and large-scale AI powered consumer applications. Explore the Ray and Anyscale roadmaps and meet the teams that lead them. Learn how your peers are using technology from Anyscale to develop, productionize, and scale a wide range of generative and non-generative AI workloads.
Enhance Your Skills
Extend what you can do with Ray by attending hands-on, expert-led workshops and deep dives.
Build Your Network
Mingle with the world’s top minds in distributed computing, machine learning, and AI.
Get Involved
Learn what’s on the Ray roadmap and connect with the builders and maintainers of Ray and Ray libraries.
Enhance your Skills
Extend what you can do with Ray by attending hands-on, expert-led workshops and deep dives
Build your Network
Mingle with the world’s top minds in distributed computing, machine learning, and AI
Get Involved
Learn what’s on the Ray roadmap and connect with the builders and maintainers of Ray and Ray libraries
Join the Conversation
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#RaySummitDon't wait for the conference to get the convo going. Join the Ray community now – ask a question in the forums, open a pull request or simply share why you’re excited. Create some buzz!
