RayTurbo

Ray is the AI Compute Engine powering workloads with leading performance. RayTurbo, Anyscale's optimized Ray engine, delivers better performance, scale, reliability, and efficiency for AI workloads.

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

Ray—Perfected

With RayTurbo, Anyscale’s optimized Ray, get best-in-class performance and highly-efficient compute whether you’re using one node or thousands.

Better Performance at Lower Costs

Full stack optimizations offer up to 60% cost savings while speeding up AI workloads like data processing up to 6X over open source. Features like Replica Compaction, streaming execution, parallelism heuristics, elastic training, and more deliver AI workloads faster and cheaper.

Improved Reliability

We know how important it is for your AI services to be online and available—which is why Anyscale comes with advanced reliability features like:

  • Head node support and on-demand fallback
  • Zero downtime upgrades
  • Memory limits
  • And more

Implement with No Code Changes

Because Anyscale is Ray, you don’t need to make any code changes to start using it. Use your exact same Ray code with RayTurbo to get all of the benefits with no added work.

Advanced ML Libraries

In addition to full stack feature optimizations, get access to additional Anyscale-only ML libraries: LLMForge (for LLM fine-tuning), AnyBatch (for LLM Batch inference), and Ray LLM (for LLM inference).

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"What we’re doing would be prohibitively expensive with other AI platforms. Anyscale  enables us to quickly take advantage of open models like Llama-3, Mixtral, or whatever comes next, and in AI, there’s always a ‘next’. We’re ready for it with Anyscale."

Deepak Kumar
VP of AI and Data, Handshake

From Ray to Anyscale with No Code Changes

Step 1: Get Started with Anyscale

Book a Demo, or get started today.

Step 2: Copy Your Ray Code Into Anyscale

Anyscale is optimized Ray—which means you can use your existing Ray code, no changes needed.

Step 3: Run an Anyscale Job or Service

Run your Ray code as an Anyscale Job or Service.

Step 4: Enjoy Improved Performance

Yes—it really is that easy. Contact us today to get started!

Ray to Anyscale with no code changes

We’re Enterprise Ready—Are You?

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User Management

Take control by defining quotas and managing compute resource allowances for developers with access controls and roles.

governance

Billing

Take control by setting alerts and tracking usage across users, projects, clouds for every cluster.

security

Security and Privacy

Powerful security tooling for the enterprise: audit logs, user roles + access controls, and isolation coupled with deployment options to meet any enterprise requirements.

FAQs

The best way to experience Anyscale is to book a demo, but you can also explore the platform directly by starting a free trial.

Try Anyscale Today

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