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
   

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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
   

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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
   

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4. European Ray Meetup - Feb 22
   

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5. https://www.ray.io/community
   

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

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

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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
   

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

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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
    

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12. Top 5 accomplishments for Ray in 2022
    1. Ray 2.0
    

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

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14. 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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15. Top 5 features & achievements for Ray in 2022
    

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

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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
    

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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
    

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19. Ray: Fastest growing scalable compute framework
    

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20. Ray: Fastest growing scalable compute framework
    

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21. Compared to popular frameworks
    

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22. Two books written in 2022
    

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

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