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Running AI at scale

Ray

Spreads heavy AI and Python work across many computers, from a laptop up to a large cluster.

Widely usedResearch-backed

What it does

Ray helps programs that are too big for one computer run across many machines at once. Its makers say the same code can scale from a laptop to a cluster without other infrastructure.

It comes with libraries for common AI jobs: preparing data, training models, tuning settings, reinforcement learning (learning by trial and error) and serving models to users.

It runs on ordinary machines, cloud providers and Kubernetes (a system for managing many servers), and includes a dashboard for monitoring jobs.

Who it's for

Engineers and data scientists who need to train or run AI models at large scale.

Can I use it without coding?

Developers only. It's a Python library for programmers and usually runs on server clusters. New to this? Start here.

Can I run it?

Cost
FreeNothing to pay or sign up for.
Runs on
Server, Cloud
Computer
An ordinary computer is fine
API key
Not needed

Try it

Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?

Before you install

  • Only download from the official GitHub page. Copies with similar names exist for many popular projects.
  • License (Apache-2.0): Permissive: free to use, change and share, including for business.
  • More on staying safe

Where people are talking about it