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Centered on Ray, the open-source distributed computing framework, Ray Summit brings together ML practitioners, data scientists, and more to discuss the growing demand for distributed computing.

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Ray Summit 2022 Logo

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Anyscale

Missed us in San Francisco for Ray Summit 2022? Don't fret, you can watch your favorite sessions on demand! 

Presented by Anyscale

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Ray Summit 2022 - Keynote Speakers

Ray Summit is a great opportunity to level up your Ray skills through hands-on training sessions with the builders and maintainers of Ray. We’re offering several pre-conference training sessions on August 22. Space is limited — [reserve your spot now](https://www.myeventi.events/raysummit22/attendee/)!

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As the annual user conference for the [open source Ray community](https://www.ray.io/community), Ray Summit is a unique opportunity to enhance your Ray skills, build your professional network, and learn what's on the Ray roadmap.

Extend what you can do with Ray by attending hands-on, expert-led workshops and deep dives

Mingle with the world’s top minds in distributed computing, machine learning, and AI

Learn what’s on the Ray roadmap and connect with the builders and maintainers of Ray and Ray libraries

Get ready for our epic community bash at the Art of Tinkering exhibit at the San Francisco Exploratorium on August 23 from 5:30 to 9:30 p.m. Come explore, play, and celebrate with the Ray Community. This is an exclusive opportunity to experience this amazing interactive exhibition before it closes in September.

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Ready to get involved in the Ray community before the conference? Ask a question in the forums. Open a pull request. Or share why you’re excited with the hashtag __#RaySummit__ on Twitter.

Ray Summit 2022

Come connect with the global community of thinkers and disruptors who are building and deploying the next generation of AI and ML applications.

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Ray Summit 2022 - Agenda

Are you passionate about Ray, scalable AI and distributed computing? Then join us at Ray Summit - Early Bird rates thru 5/31.

From the creators of Ray, Anyscale is a framework for building machine learning applications at any scale originating from the UC Berkeley RISELab.

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