Tổng quan
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.
Tính năng chính
- A distributed computing runtime for machine learning training, tuning and model serving.
Yêu cầu, cài đặt và bắt đầu nhanh
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).
Cách sử dụng
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).
Khả năng tương thích của mô hình và trường hợp sử dụng
Khả năng tương thích của mô hình không được nêu trong siêu dữ liệu của kho lưu trữ.
Ghi chú về giấy phép và rủi ro
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.
Phát hành và bảo trì
[View upstream releases](https://github.com/ray-project/ray/releases).