Advance Your AI Platform
with Anyscale.

Fully utilize every GPU with RayTurbo / Govern sprawling AI usage
Delight developers with world-class tooling / Any cloud, any accelerator, any stack

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Anyscale & Ray

Chosen by the World’s Smartest AI/ML Platform Leaders

40,000+

Github repo downloads

32.5k

Stars by the community

1,000+

Contributors

"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

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Build Your AI Platform with Anyscale’s Advanced Tooling and Modular Components

Powered by RayTurbo, a super-charged version of Ray, Anyscale's Platform has the tools you need to optimize performance and lower cost on every AI workload.

The leading AI Compute Engine–optimized for performance, efficiency, and reliability. Ray provides simple Pythonic APIs to run workloads across GPUs and CPUs at any scale with full machine utilization.

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Let’s Take a Look Under the Hood...

Anyscale is a configurable AI platform. Together, its components form a unified AI platform that gives your AI/ML builders unbeatable tooling to get to production with speed and cost efficiency.

under-the-hood

Anyscale & Ray Deliver.
Real AI, Real ROI.

Delivering real value with AI requires more than a single model or LLM chat agent. Anyscale and Ray are powering transformational AI Platforms that unlock AI at generational companies.

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12x

faster model evaluation

100%

GPU utilization

50%

reduction in cloud costs

Canva Built a Modern AI Platform Using Anyscale

  • A shared platform for product teams
  • Distributed training at scale
  • Optionality
  • Control
  • Integration

RayTurbo: The Supercharged AI Compute Engine

Ray is the AI Compute Engine. RayTurbo is Anyscale’s proprietary version, built by Ray’s creators and battle-tested in production at true scale.

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The World’s Most Powerful AI Compute Engine

RayTurbo is optimized for scale, efficiency, performance, flexbility, and reliability—everything you need in an AI Compute Engine. Learn more

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Pythonic APIs

The flexibility of Python functions, classes, and libraries meets the power of distributed computing for any AI workload from data processing to training to serving.

precision-orchestration

Precision Orchestration

RayTurbo optimizes your workloads where you work. Get precision orchestration for any accelerator, in any cloud, or on-prem.

reliability

Reliability

Fault-tolerance, lineage, and high-availability to run mission critical AI workloads.

planet-scale

Designed for Planet Scale—But Ready for Any Job

Whether you are just getting started on a world-changing mission or already have an enormous workload to handle—RayTurbo can help accelerate AI workloads and deliver real ROI.

Your Developers Will Thank You For Choosing Anyscale

Anyscale gives you a powerful suite of tools that will delight developers and support their journey from laptop to production scale.

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ML Tool Freedom

Want to use the ML libraries, frameworks, and MLOps tools you love on top of Anyscale’s compute platform? We get it.

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Ray-Powered ML in Python

Want to avoid learning new languages for every workload and use case you have? Definitely.

llm-ready

LLM-Ready

Want to improve quality, reduce cost, and avoid lock-in through OSS LLMs? Sure thing.

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Observability and Debugging

Want to debug complex ML workloads across massive compute and get to production faster? No doubt.

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Seamless Dev to Production

Want to have a smooth dev-to-prod workflow? Experiment, test, and push to production—quick and clean. No drama.

scaleable-ml

Scalable ML Without Headaches

Want to focus on actual AI and ML results, not infrastructure management and setup? Sounds like a good idea to us.

Loved by Developers and AI Leaders Alike

"How does one scale a content processing pipeline in python? Well, you sprinkle some Ray on top."

Willem Meints
Chief AI Architect @ Aigency

"Ray makes distributed Python almost too easy.

Just a sprinkle of ray.remote magic and poof, your functions are running on a cluster.

5 years since my talk at @PyConBlkn, witnessing the incredible growth of the @raydistibuted ecosystem in ML 💪"

Jan Margeta
Founder at KardioMe

"Building this system typically required a dedicated MLOps and DevOps team.

However, discovering Ray.io, an open-source library, allowed us to distribute GPT-3/4 training across over 300,000 CPUs and GPUs, reducing our backend development time from six months to less than 60 days."

Crypost

"Ended up choosing @raydistributed for this, after briefly looking at a number of options, including GCP/AWS batch, Coiled, Modal, K8s, among others"

Ben Hamner
Sumble, Co-founder & CTO

Built for the Enterprise

Anyscale is enterprise-grade—for everyone. Control, audit, and manage users and resources in your own private environment.

governance

Governance, Admin, Billing

Usage monitoring and alerting, plus access controls and user roles, provide complete control over spend and users.

security

Security and Privacy

Run in your cloud with complete control over security and privacy with flexible deployment options to meet any requirements.

training

Training and Support

Work with the Ray creators to deliver and optimize your AI workloads.

Get Started Today

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Our team of Ray experts can help you build, optimize, and maximize Ray usage. 

Take a spin through the platform right now.