Ray Community Meetup Jan 25, 2023: Ray in Review for 2022

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Welcome to the Bay Area Meetup Ray community talks January 25, 2023 Hosted by Jules S. Damji, Ray Advocacy Team @ Anyscale Email: [email protected] Twitter: @2twitme

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Agenda: Virtual Meetup Talk 1: Announcements, Upcoming events, Ray in Review 2022 - Jules S. Damji, Anyscale Talk 2: Monitor & Prevent out-of-memory problems with Ray OOM monitor - Clarence Ng, Anyscale Talk 3: How Shopify used Ray<>TensorFlow to build a product hierarchical categorization model to auto classify billions of products using NLP & Computer Vision - Kshetrajna Raghavan, Shopify

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Ray Summit 2023 - CfP ● Open 1/3/2023– February 2/17/ 2023 ● In-person Conference 9/18-20, 2033 ○ Marriott Marquis, San Francisco, ● CfP: https://bit.ly/cfp-ray-summit-2023

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European Ray Meetup - Feb 22

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https://www.ray.io/community

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Ray in Review: Year 2022 Top 5 accomplishments for Ray in 2022

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Top 5 accomplishments for Ray in 2022 1. Ray 2.x + Ray AIR

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AIR simplifies scalable ML infrastructure Integrations with best-of-breed libraries/ MLOps tools A uniﬁed end-to-end ML runtime Make scaling easy for both data scientists and ML engineers

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Ray AI Runtime (AIR) High-level libraries that make scaling easy for both data scientists and ML engineers.

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AIR integrations 11 ● Built-in integrations Built-in integrations Integrations API Custom scalable components ● Integrations API to easily add or extend integrations ● Custom scalable components can be built on Ray Core

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Top 5 accomplishments for Ray in 2022 1. Ray 2.0

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Top 5 accomplishments for Ray in 2022 2. Ray Observability + OOM Monitor

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Top 5 achievements for Ray in 2022 3. Restructured Ray Documentation ● TOC ● Code examples & snippets ● User guides ● Runnable notebooks ● Navigable & searchable docs

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Top 5 features & achievements for Ray in 2022

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Top 5 achievements for Ray in 2022 Early days of Ray at O’Reilly AI conference … circa 2018

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Top 5 achievements for Ray in 2022 4 & 5 Ray Community + Ray Summit 2022 Colombia Toronto … and many more! Los Angeles Japan China Boston

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Ray: Fastest growing scalable compute framework 1,000+ Organizations Using Ray 23,000+ GitHub stars 5,000+ Repositories Depend on Ray 770+ Community Contributors

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Ray: Fastest growing scalable compute framework

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Ray: Fastest growing scalable compute framework

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Compared to popular frameworks

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Two books written in 2022

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Ray Summit 2022 ● Huge community gathering …. ● 40 + Ray sessions … ● 210 + attendees trained ● 600+ In-person attendees ● 22 different US states, 15 countries