Scale AI and Python Applications Effortlessly

Learn why thousands of organizations use Ray open-source, a unified framework for scalable computing, to speed AI development and scale machine learning and Python workloads and the Anyscale Platform, an enterprise-ready managed Ray platform, to accelerate time-to-market.

Why Ray? Watch Now!

Hear from Ray Users

Patrick Ames

How Amazon Scales Improves Cost and Performance by 90% on Ray


Principal Engineer

Amazon

Mark Saroufim

How Meta Scales Distributed Training of AI Workloads on Ray


Staff Applied AI Engineer

Meta

Ayhan Demirci

How KocDigital Scales AI and Simplifies AI Development and Ops on Ray


Director of Data and Analytics

KocDigital

Holden Karau

How Netflix Scales ML Workloads and Speeds AI Innovation on Ray


Open Source Engineer

Netflix

Organizations Using Ray

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open-ai-logo
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ricardo-logo
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amazon-logo
uber-logo
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open-ai-logo
visa-logo
dow-logo
ricardo-logo
ant-group-logo
dendra-systems-logo
amazon-logo
uber-logo
wild-life-logo (1)
open-ai-logo
visa-logo
dow-logo
ricardo-logo
ant-group-logo
dendra-systems-logo

Why everyone is turning to Ray

Companies are using Ray to scale ML and Python workloads including everything from data ingest, to preprocessing, hyperparameter tuning, training, and model serving at scale.

  • Easy Scaling
    • Scale from a laptop to thousands of servers
    • Develop and scale in production, with zero code changes
  • A Unified Framework
    • Supports all workloads - data loading, training, tuning, reinforcement learning, model serving
    • Develop, test, and productionize - in one framework
  • Open Platform
    • Integrate with the ML ecosystem, any ML library, data platform & workflow orchestrators
    • Run on any cloud, Kubernetes or on a laptop

The enterprise-ready, fully managed Anyscale Platform

The scalable compute platform from the creators of Ray that eases building, deploying, and managing scalable AI and Python applications on Ray.

Orchestration

Experiment management

Hyperparameter Tuning

Training

Data / features

Serving / Applications

Explainability / Observability

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Any cloud
Learn More
See it in action

One Unified Scalable Framework

Effortlessly scale all workloads from data loading to training to hyperparamer tuning, to reinforcement learning and model serving. Learn more about all capabilities and the Ray AI Runtime (AIR).

Organizations globally are using Ray and Anyscale for diverse solutions from recommendation systems, to supply-chain logistics optimization to pricing optimization, virtual environment simulations, and more.

What Users are Saying About Ray and Anyscale

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At OpenAI, we are tackling some of the world’s most complex and demanding computational problems. Ray powers our solutions to the thorniest of these problems and allows us to iterate at scale much faster than we could before.

Greg Brockman

Co-founder, Chairman and CTO, OpenAI

Customer story
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Ray and Anyscale empower even the leanest teams to bring AI to production and realize the business potential of AI in record time.

Laure Fouilloux

Head of Data Intelligence, Ricardo

Customer story
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We chose Ray as the unified compute backend for our machine learning and deep learning platform because it has allowed us to significantly improve performance and fault tolerance, while also reducing the complexity of our technology stack. Ray has brought significant value to our business.

Xu Ning

Senior Manager, Uber AI Platform

Customer story
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Being able to operate quickly at this massive scale has enabled us to deliver novel solutions towards Dendra Systems’ mission of scaling ecosystem restoration of our biodiverse natural world.

Shuning Bian

Chief Architect, Dendra Systems

Customer story
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Ray and Anyscale have enabled us to quickly develop, test and deploy a new in-game offer recommendation engine based on reinforcement learning, and subsequently serve those offers 3X faster in production. This resulted in revenue lift and a better gaming experience.

Emiliano Castro

Principal Data Scientist

Customer story

Anyscale is a fully managed scalable Ray compute platform that provides the easiest way to develop, deploy and manage Ray applications.