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Sang Cho

Alex Wu

Clark Zinzow

Eric Liang

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Stephanie Wang

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Data Processing Support in Ray

Amog Kamsetty

Retrieval Augmented Generation with Huggingface Transformers and Ray

Michael Galarnyk

SpeedUpScikitLearnNode

How to Speed up Scikit-Learn Model Training

Richard Liaw

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Bill Chambers

Jieru Hu

Hydra+Ray (Anyscale)

Configuring and Scaling ML with Hydra + Ray

Sven Mika

Unity 3D game world

Reinforcement Learning with RLlib in the Unity Game Engine

Archit Kulkarni

Ray x mlflow

Ray & MLflow: Taking Distributed Machine Learning Applications to Production

Zhe Zhang

Ben Lorica

RaySummit2021

Ray Summit 2021 CFP Now Open!

Ion Stoica

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ExamplesOfToolsMultiCloud

The Emergence of Multi-cloud Native Applications and Platforms

Waleed Kadous

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Why I’m joining Anyscale

Ray Serve plus FastAPI

How to Scale Up Your FastAPI Application Using Ray Serve

Jack Parker-Holder

Pb2: Solo Gif

Population Based Bandits: Provably Efficient Online Hyperparameter Optimization

Birds

The Ideal Foundation for a General Purpose Serverless Platform

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Hyperparameter Search with Hugging Face Transformers

Robert Nishihara

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Anyscale Announces $40M in Series B Funding Led by NEA

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The Infinite Laptop

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Announcing Ray 1.0

Dean Wampler

Pace Nathan

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Learn about Multi Armed Bandits and RL-based Recommender Systems at Ray Summit 2020

featured speakers

Trends in AI and Python Scalability: Reflections from the Ray Summit Program Chairs

BlogBiolexis on Anyscale (4)

Biolexis Boosts Their New AI/ML Drug Discovery Platform Using Anyscale’s Fully-Managed Ray Platform

Ray For Success

Four Reasons Why Leading Companies Are Betting On Ray

Anyscale logo (webinar thumbnail)

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

Blog Adtriba on Anyscale (4)

Adtriba Accelerates and Advances Media Mix Modeling Using the Anyscale Fully-Managed Ray Platform

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Products / Libraries

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

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