Our monthly Ray technical talks. This month we have two Ray committers and a Ray user to share with the community:
* How to use Ray for batch inference at scale, comparing solutions against other alternatives such as Apache Spark and SageMaker.
* How Ray Data streaming can be used to further optimize hardware accelerators (CPUs and GPUs) for parallel pipeline execution.
* How Ray is used at Pinterest for workflow-oriented ML development
Welcome to the Bay Area RAY
June 21, 2023
Hosted by Jules S. Damji, Ray Advocacy Team @ Anyscale
Email: [email protected]
Talk 0: Announcements, Upcoming events – Jules S. Damji, Anyscale
Talk 1: Oﬄine batch inference: Comparing Ray, Apache Spark, and
SageMaker– Amog Kamsetty, Anyscale
Talk 2: Streaming distributed execution across CPUs and GPUs – Eric
Talk 3: Workﬂows to interactive pipelines: How Pinterest plans to
improve ML developer velocity with Ray – Se Won Jang, Pinterest
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