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About
Distributed Computing with Ray
Ray is a fast and simple framework for distributed computing
Note from the editor
Ray is a fast and simple framework for distributed computing
Editors
Robert Nishihara
https://twitter.com/robertnishihara
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Sophia DeMartini
Events Manager, Anyscale
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Bill Chambers
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Michael Galarnyk
Data Scientist
https://www.linkedin.com/in/michaelgalarnyk/
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Asawari Samant
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Tricia Fu
chocolate chip cookies
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Writers
Edward Oakes
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Simon Mo
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Sophia DeMartini
Events Manager, Anyscale
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Richard Liaw
PhD Student at UC Berkeley — BAIR and RISELab
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Ameer Haj Ali
EECS #PhD Candidate at
@UCBerkeley
@ucbrise
, Consultant at
@anyscalecompute
, #AI Researcher, Board Member at
@TechnionUSA
.
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Bill Chambers
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Michael Chau
CS & Stats @ UC Berkeley
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Kai Fricke
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Paco Xander Nathan
evil mad sci, derwen.ai/paco ; lives on an apple orchard in the coastal redwoods; argilla.io board member;
https://mastodon.green/@pacoid
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Amog Kamsetty
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Hao Chen
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Mustafa Mustafa
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Sven Mika
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Michael Luo
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Eric Liang
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Archit Kulkarni
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Michael Galarnyk
Data Scientist
https://www.linkedin.com/in/michaelgalarnyk/
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Waleed Kadous
Co-founder of CVKey, ex Head Engineer Office of the CTO @ Uber, ex Principal Engineer @ Google.
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Ray Project
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Stephanie Wang
PhD student at UC Berkeley RISELab and software engineer at Anyscale. Likes distributed systems.
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Zhe
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Antoni Baum
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Javier Redondo
Product
@Anyscale
. Alum
@Confluent
@Google
@Klarna
@StanfordGSB
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Asawari Samant
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