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Keith Pijanowski

Chandler Gibbons

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What is distributed training?

Paige Bailey

Richard Liaw

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Jian Xiao

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Ray 1.12: Ray AI Runtime (alpha), usage data collection, and more

Jules S. Damji

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Ray Summit 2022 Call for Papers is now open

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5 reasons to attend this month’s Production RL Summit

Mingwei Tian

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Ray 1.11: Redisless Ray, a docs redesign, and Python 3.9 support

Simon Mo

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Deploying XGBoost models with Ray Serve

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Serving PyTorch models with FastAPI and Ray Serve

Antoni Baum

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Three ways to speed up XGBoost model training

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Ray 1.10: Windows support beta, enhanced job submission, and more

Ray 2.0

Announcing Ray 2.0

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Ray Summit, the Industry Event for Scalable AI, Unveils New Innovations in Ray and the Anyscale Platform; Features Speakers from Uber, IBM, OpenAI, Shopify, Dow and Numerous Global Organizations

Anyscale Unveils Ray 2.0 and Anyscale Innovations at Ray Summit 2022; Adds an Additional $99M Funding from Existing Investors Addition, Intel Capital, and Foundation Capital

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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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Scalable AI and Python

Posts by Chandler Gibbons

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