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
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.
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.
12x
faster model evaluation
100%
GPU utilization
50%
reduction in cloud costs
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.
The World’s Most Powerful AI Compute Engine
RayTurbo is optimized for scale, efficiency, performance, flexibility, and reliability—everything you need in an AI Compute Engine. Learn more
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
RayTurbo optimizes your workloads where you work. Get precision orchestration for any accelerator, in any cloud, or on-prem.
Reliability
Fault-tolerance, lineage, and high-availability to run mission critical AI workloads.
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.
The World’s Most Powerful AI Compute Engine
RayTurbo is optimized for scale, efficiency, performance, flexibility, and reliability—everything you need in an AI Compute Engine. Learn more
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
RayTurbo optimizes your workloads where you work. Get precision orchestration for any accelerator, in any cloud, or on-prem.
Reliability
Fault-tolerance, lineage, and high-availability to run mission critical AI workloads.
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.
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.
Ray-Powered ML in Python
Want to avoid learning new languages for every workload and use case you have? Definitely.
LLM-Ready
Want to improve quality, reduce cost, and avoid lock-in through OSS LLMs? Sure thing.
Observability and Debugging
Want to debug complex ML workloads across massive compute and get to production faster? No doubt.
Seamless Dev to Production
Want to have a smooth dev-to-prod workflow? Experiment, test, and push to production—quick and clean. No drama.
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
"Need a simple way to scale Python applications? Ray makes distributed computing easy for tasks like machine learning and data processing."
KDnuggets
"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, Admin, Billing
Usage monitoring and alerting, plus access controls and user roles, provide complete control over spend and users.
Security and Privacy
Run in your cloud with complete control over security and privacy with flexible deployment options to meet any requirements.
Training and Support
Work with the Ray creators to deliver and optimize your AI workloads.