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

We are delighted to kick off New Year with our first January Ray Meetup with talks from Ray community users and committers. Join us to hear from the Ray team at Anyscale and Shopify about Ray and its usage.

Agenda:
5:00 p.m. Welcome remarks, Year 2022: Ray in Review & upcoming announcements - Jules Damji, Anyscale
Talk 1 (35-40 mins): Monitor & prevent out-of-memory problems with Ray OOM monitor - Clarence Ng, Anyscale
Q & A (10 mins)
Talk 2 (35-40 mins): How Shopify used Ray<>Tensorflow to build a Product Hierarchical Categorization model to auto classify billions of products using NLP and Computer Vision, Kshetrajna Raghavan, Shopify

Transcript

1. Welcome to the Bay Area Meetup Ray community talks January 25, 2023 Hosted by Jules S. Damji, Ray Advocacy Team @ Anyscale Email: jules@anyscale.com Twitter: @2twitme
2. 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
3. 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
4. European Ray Meetup - Feb 22
5. https://www.ray.io/community
7. Ray in Review: Year 2022 Top 5 accomplishments for Ray in 2022
8. Top 5 accomplishments for Ray in 2022 1. Ray 2.x + Ray AIR
9. 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
10. Ray AI Runtime (AIR) High-level libraries that make scaling easy for both data scientists and ML engineers.
11. 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
12. Top 5 accomplishments for Ray in 2022 1. Ray 2.0
13. Top 5 accomplishments for Ray in 2022 2. Ray Observability + OOM Monitor
14. Top 5 achievements for Ray in 2022 3. Restructured Ray Documentation • TOC • Code examples & snippets • User guides • Runnable notebooks • Navigable & searchable docs
15. Top 5 features & achievements for Ray in 2022
16. Top 5 achievements for Ray in 2022 Early days of Ray at O’Reilly AI conference … circa 2018
17. Top 5 achievements for Ray in 2022 4 & 5 Ray Community + Ray Summit 2022 Colombia Toronto … and many more! Los Angeles Japan China Boston
18. Ray: Fastest growing scalable compute framework 1,000+ Organizations Using Ray 23,000+ GitHub stars 5,000+ Repositories Depend on Ray 770+ Community Contributors
19. Ray: Fastest growing scalable compute framework
20. Ray: Fastest growing scalable compute framework
21. Compared to popular frameworks
22. Two books written in 2022
23. Ray Summit 2022 • Huge community gathering …. • 40 + Ray sessions … • 210 + attendees trained • 600+ In-person attendees • 22 different US states, 15 countries