# Ray

> Updated 2026-09-03 · type: tool · category: ai-infrastructure · status: active · rev 1

OSS alt to proprietary GPU-orchestration platforms; ~43500 stars; complements Celery, SkyPilot; General distributed-compute engine; also serves the…

- Open source: yes (Apache-2.0)
- Self-hostable: yes
- Pricing model: free
- Best for: Developers scaling Python and AI applications from a laptop to a cluster for computationally demanding workloads.
- Last verified: 2026-09-04

- **Canonical:** https://gtmstacker.com/registry/tool/ray/
- **Source:** [github · github.com/ray-project](https://github.com/ray-project/ray)
- **Tags:** ai-infrastructure, content-factory-orchestration
- **Repository:** https://github.com/ray-project/ray

## Is Ray open source?

Yes — Apache-2.0-licensed.

## How much does Ray cost?

It is free to use.

## Can I self-host Ray?

Yes — it can be self-hosted.


---

OSS alt to proprietary GPU-orchestration platforms; ~43500 stars; complements Celery, SkyPilot; General distributed-compute engine; also serves the cost/GPU/model orchestration branch. No model.