Comparing Ray and Anyscale

Anyscale is the smartest place to run Ray. Get started with the only fully-managed, all-in-one platform to run Ray—built by the minds behind it. Plus, get access to RayTurbo, Anyscale's optimized AI engine.

What is

Ray is an AI compute engine for scaling AI and Python applications like machine learning

Easy distributed parallelism
Machine Learning Libraries for data processing, model training, and model serving
Cloud-native GPU capabilities
Future proof

What is

Anyscale builds on top of Ray with:

RayTurbo: Anyscale’s optimized engine for Ray, delivering improved performance, scale, efficiency, and reliability
Interactive notebooks and workspaces
Enterprise governance and security
Seamless integrations

Anyscale is The Most Performant Way to Run Ray

up to

4.5x

faster at running read-intensive data workloads compared to open source Ray

up to

6x

cheaper for LLM batch inference compared to AWS Bedrock and OpenAI

up to

60%

higher QPS serving with optimized version of Ray Serve (vs. open source Ray Serve)

up to

60%

lower costs on many workloads (vs open source Ray) through spot instance and elastic training support

Managed Ray on Anyscale vs. Ray

RayTurbo: Anyscale Optimized Runtime

Advanced and optimized Ray for AI and ML performance

Integrated Workspace

Simplified distributed systems with powerful APIs and tooling

Production Jobs

Production Data processing, Training, and Batch Inference

Anyscale Services

Production services support for model deployment

Enterprise Security and Governance

Manage compute across teams with enhanced observability and built-in security features

Integrations

Integrate with your existing ML tech stack

Expert Support Training

Support led by the creators and maintainers of Ray


RayTurbo: Anyscale Optimized Runtime Advanced and optimized Ray for AI and ML performance	-
Integrated Workspace Simplified distributed systems with powerful APIs and tooling	-
Production Jobs Production Data processing, Training, and Batch Inference	-
Anyscale Services Production services support for model deployment	-
Enterprise Security and Governance Manage compute across teams with enhanced observability and built-in security features	-
Integrations Integrate with your existing ML tech stack	-
Expert Support Training Support led by the creators and maintainers of Ray	-

Training Stable Diffusion models for image generation

Able to test new ML models upto 12X faster, achieved 100% GPU utilization and reduced cloud costs by 50%.

“We have no ceiling on scale, and an incredible opportunity to bring AI features and value to our 170 million users.”

Greg Roodt
Head of Data Platforms, Canva

Anyscale is Ray—Perfected

Built by the creators of Ray, Anyscale is made for how you work today and how you want to scale tomorrow.

RayTurbo

No one knows Ray like we do. RayTurbo is Ray, perfected, making it easy to fully utilize every GPU. Get fine-tuned, cutting-edge features designed to drive down costs, improve performance speed, and make it easier to scale—all with unmatched reliability.

Explore the Difference

Download our whitepaper for a full rundown of the differences between open source Ray and Ray on Anyscale.

FAQs

Migrating to Anyscale from an on-premises Ray cluster, cloud-based infrastructure, or another managed Ray offering requires minimal changes and in many cases, no changes to your Ray Application code.

Anyscale’s RayTurbo compute engine improves the performance of Ray by introducing custom optimizations consistent with existing Ray code while Anyscale’s platform configures and deploys infrastructure.

Try Anyscale Today

Build, deploy, and manage scalable AI and Python applications on the leading AI platform. Unlock your AI potential with Anyscale.