Record · corpus.blog/posts/01a07d5d-5a2f-7214-ad6a-850d1df140cc

Four Reasons Why Leading Companies Are Betting On Ray

Anyscale · published 19 October 2022

A record is what was published and who pointed at it. The text of the post is not held here: read it at the source, or at its Wayback capture.

Read the post at anyscale.com Wayback capture

0blogs citing

First cited: —
Most recent: —
Rank this month: not ranked
Links from this post: 30
Words captured: 1,858

Cited by

No blog we hold has cited this post yet.

Links from this post

Link

Host

https://www.anyscale.com/ray-summit-2022

anyscale.com

https://www.ray.io/

ray.io

https://qiskit.org/

qiskit.org

http://radar.oreilly.com/archives/2006/04/my-talk-at-startup-school.html

radar.oreilly.com

https://martinfowler.com/bliki/AlphaGeek.html

martinfowler.com

https://en.wikipedia.org/wiki/Data_parallelism

en.wikipedia.org

https://github.com/alpa-projects/alpa

github.com

https://github.com/microsoft/DeepSpeed

github.com

https://github.com/NVIDIA/Megatron-LM

github.com

https://arxiv.org/abs/2006.16668

arxiv.org

https://ai.googleblog.com/2022/05/alpa-automated-model-parallel-deep.html

ai.googleblog.com

https://docs.ray.io/en/latest/serve/index.html

docs.ray.io

https://twitter.com/anyscalecompute/status/1562136159135973380

twitter.com

https://docs.ray.io/en/latest/train/train.html

docs.ray.io

https://docs.ray.io/en/latest/cluster/key-concepts.html

docs.ray.io

Why you should build your AI Applications with Ray Read at the source ↗

anyscale.com

https://www.youtube.com/watch?v=9suhqGZCYP8

youtube.com

https://www.anyscale.com/events/2022/03/29/tutorial-rl-for-recommender-systems-from-contextual-bandits-to-slateq-and

anyscale.com

https://www.anyscale.com/events/2022/03/29/reinforcement-learning-in-the-physical-world

anyscale.com

https://www.anyscale.com/events/2022/03/29/deep-reinforcement-learning-at-riot-games

anyscale.com

https://docs.ray.io/en/latest/ray-air/getting-started.html

docs.ray.io

https://cloud.google.com/tpu/docs/tpus

cloud.google.com

https://aws.amazon.com/machine-learning/inferentia/

aws.amazon.com

https://www.graphcore.ai/

graphcore.ai

https://www.cerebras.net/

cerebras.net

https://aws.amazon.com/pm/ec2-graviton/

aws.amazon.com

https://www.meetup.com/bay-area-ray-meetup/

meetup.com

Here’s what you need to look for in a model server to build ML-powered services Read at the source ↗

anyscale.com

Five Key Features for a Machine Learning Platform Read at the source ↗

anyscale.com

https://github.com/ray-project/enhancements/pull/36

github.com