Übersicht
A distributed computing runtime for machine learning training, tuning and model serving. The repository is maintained under ray-project on GitHub. Its primary language is Python. See the [project README](https://github.com/ray-project/ray#readme) for the supported workflows.
Wichtige Funktionen
- A distributed computing runtime for machine learning training, tuning and model serving.
Voraussetzungen, Installation und Schnellstart
Install Ray in a Python environment using the official installation guide. Select additional dependencies for the Ray libraries needed by your workload.
[Read the upstream installation and quickstart instructions](https://github.com/ray-project/ray#readme).
[Read the upstream installation and quickstart instructions](https://github.com/ray-project/ray#readme).
Nutzung
Start with the documented local example, confirm it runs with your resources, then connect it to your application using the supported interface.
[Usage examples and configuration reference](https://github.com/ray-project/ray#readme).
[Usage examples and configuration reference](https://github.com/ray-project/ray#readme).
Modellkompatibilität und Anwendungsfälle
Die Modellkompatibilität ist in den Repository-Metadaten nicht angegeben.
Lizenz- und Risikohinweise
GitHub reports Apache-2.0 for this repository. Review the upstream license file; model weights, datasets and dependencies may have separate terms.
Source review 2026-09-05: GitHub search metadata and repository README. No runtime benchmark performed. License metadata: Apache-2.0.
Veröffentlichung und Wartung
[View upstream releases](https://github.com/ray-project/ray/releases).