“Ray has profoundly simplified the way we write scalable distributed programs for Cohere’s LLM pipelines.”

Siddhartha Kamalakara

ML Engineer, Cohere

"At OpenAI, Ray allows us to iterate at scale much faster than we could before. We use Ray to train our largest models, including ChatGPT."

Greg Brockman

Co-Founder and President, OpenAI

“Ray has brought significant value to our business, and has enabled us to rapidly pretrain, fine-tune, and evaluate our LLMs.”

Min Cai

Distinguished Engineer, Uber

“We were able to improve the scalability by an order of magnitude, reduce the latency by over 90%, and improve the cost efficiency by over 90%. It was financially infeasible for us to approach that problem with any other distributed compute framework.”

Patrick Ames

Principal Engineer, AWS

“Ray enables us to run deep learning workloads 12x faster, to reduce costs by 8x, and to train our models on 100x more data.”

Haixuin Wang

VP Engineering, Instacart

“We use Ray to run a number of AI workloads at Samsara. Since implementing the platform, we’ve been able to scale the training of our deep learning models to hundreds of millions of inputs and accelerate deployment while cutting inference costs by 50%.”

Evan Welbourne

Head of AI and Data, Samsara

“Ray has profoundly simplified the way we write scalable distributed programs for Cohere’s LLM pipelines.”

Siddhartha Kamalakara

ML Engineer, Cohere