Skip to main content
Files added late

7 files were added to this release more than 14 days after its initial publication. Inspect the release files before installing.

Pre-release

This release is a pre-release and may not be stable for production use.

https://github.com/ray-project/ray/raw/master/doc/source/images/ray_header_logo.png https://readthedocs.org/projects/ray/badge/?version=master https://img.shields.io/badge/Ray-Join%20Slack-blue https://img.shields.io/badge/Discuss-Ask%20Questions-blue https://img.shields.io/twitter/follow/raydistributed.svg?style=social&logo=twitter https://img.shields.io/badge/Get_started_for_free-3C8AE9?logo=data%3Aimage%2Fpng%3Bbase64%2CiVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8%2F9hAAAAAXNSR0IArs4c6QAAAERlWElmTU0AKgAAAAgAAYdpAAQAAAABAAAAGgAAAAAAA6ABAAMAAAABAAEAAKACAAQAAAABAAAAEKADAAQAAAABAAAAEAAAAAA0VXHyAAABKElEQVQ4Ea2TvWoCQRRGnWCVWChIIlikC9hpJdikSbGgaONbpAoY8gKBdAGfwkfwKQypLQ1sEGyMYhN1Pd%2B6A8PqwBZeOHt%2FvsvMnd3ZXBRFPQjBZ9K6OY8ZxF%2B0IYw9PW3qz8aY6lk92bZ%2BVqSI3oC9T7%2FyCVnrF1ngj93us%2B540sf5BrCDfw9b6jJ5lx%2FyjtGKBBXc3cnqx0INN4ImbI%2Bl%2BPnI8zWfFEr4chLLrWHCp9OO9j19Kbc91HX0zzzBO8EbLK2Iv4ZvNO3is3h6jb%2BCwO0iL8AaWqB7ILPTxq3kDypqvBuYuwswqo6wgYJbT8XxBPZ8KS1TepkFdC79TAHHce%2F7LbVioi3wEfTpmeKtPRGEeoldSP%2FOeoEftpP4BRbgXrYZefsAI%2BP9JU7ImyEAAAAASUVORK5CYII%3D

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI libraries for simplifying ML compute:

https://github.com/ray-project/ray/raw/master/doc/source/images/what-is-ray-padded.svg

Learn more about Ray AI Libraries:

  • Data: Scalable Datasets for ML

  • Train: Distributed Training

  • Tune: Scalable Hyperparameter Tuning

  • RLlib: Scalable Reinforcement Learning

  • Serve: Scalable and Programmable Serving

Or more about Ray Core and its key abstractions:

  • Tasks: Stateless functions executed in the cluster.

  • Actors: Stateful worker processes created in the cluster.

  • Objects: Immutable values accessible across the cluster.

Learn more about Monitoring and Debugging:

Ray runs on any machine, cluster, cloud provider, and Kubernetes, and features a growing ecosystem of community integrations.

Install Ray with: pip install ray. For nightly wheels, see the Installation page.

Note: This documentation refers to Ant Ray - a fork of Ray maintained by Ant Group. To install this specific version, use:

pip install ant-ray

Why Ray?

Today’s ML workloads are increasingly compute-intensive. As convenient as they are, single-node development environments such as your laptop cannot scale to meet these demands.

Ray is a unified way to scale Python and AI applications from a laptop to a cluster.

With Ray, you can seamlessly scale the same code from a laptop to a cluster. Ray is designed to be general-purpose, meaning that it can performantly run any kind of workload. If your application is written in Python, you can scale it with Ray, no other infrastructure required.

More Information

Older documents:

Getting Involved

Platform

Purpose

Estimated Response Time

Support Level

Discourse Forum

For discussions about development and questions about usage.

< 1 day

Community

GitHub Issues

For reporting bugs and filing feature requests.

< 2 days

Ray OSS Team

Slack

For collaborating with other Ray users.

< 2 days

Community

StackOverflow

For asking questions about how to use Ray.

3-5 days

Community

Meetup Group

For learning about Ray projects and best practices.

Monthly

Ray DevRel

Twitter

For staying up-to-date on new features.

Daily

Ray DevRel

Metadata

Release files for ant-ray-cpp 3.0.0.dev0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Files added late

7 files were uploaded more than 14 days after the first file in this release.

While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.

We recommend inspecting the release files before installing.

Built distributions (wheels)

Table of built distributions (wheels) for ant-ray-cpp 3.0.0.dev0
File
ant_ray_cpp-3.0.0.dev0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.12 CPython 3.12 Linux glibc 2.17+ x86-64 Details
ant_ray_cpp-3.0.0.dev0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.12 CPython 3.12 Linux glibc 2.17+ ARM64 Details
ant_ray_cpp-3.0.0.dev0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ x86-64 Details
ant_ray_cpp-3.0.0.dev0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ ARM64 Details
ant_ray_cpp-3.0.0.dev0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ x86-64 Details
ant_ray_cpp-3.0.0.dev0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ ARM64 Details
ant_ray_cpp-3.0.0.dev0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.17+ x86-64 Details
ant_ray_cpp-3.0.0.dev0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.9 CPython 3.9 Linux glibc 2.17+ ARM64 Details

Total release size: 104.1 MB

Release files / ant_ray_cpp-3.0.0.dev0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

File added late

This file was uploaded more than 14 days after the first file in this release.

While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.

We recommend inspecting the release file before installing.

Download URL ant_ray_cpp-3.0.0.dev0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 10.7 MB
Tags CPython 3.12 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
aab01cac57d30d38c38de19747b551637d31505a2de44f9edcd477fe82929fad
BLAKE2b-256 checksum
How to use checksums
e3ec0b7abd53dafa3b97f9f3ecb879a60c3a5863f2568cbb24c9ee0bc2756ad1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.7

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Dec 20, 2025.

Transparency log

Release files / ant_ray_cpp-3.0.0.dev0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

File added late

This file was uploaded more than 14 days after the first file in this release.

While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.

We recommend inspecting the release file before installing.

Download URL ant_ray_cpp-3.0.0.dev0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 10.4 MB
Tags CPython 3.12 Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums
f11754b59e6390a89f79a3b47a6c9fd4d70a8bf1c894294590e82be5e4cc66ca
BLAKE2b-256 checksum
How to use checksums
1f9a11e86d186efac620ef0c88af9a6b1735909701fd9fe5ddd78824f0f1cde9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.7

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Dec 20, 2025.

Transparency log

Release files / ant_ray_cpp-3.0.0.dev0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

File added late

This file was uploaded more than 14 days after the first file in this release.

While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.

We recommend inspecting the release file before installing.

Download URL ant_ray_cpp-3.0.0.dev0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 10.7 MB
Tags CPython 3.11 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
75a0c6e874eda4fce831cd9a949e89352f77a7858a88150b33df1daf57558c76
BLAKE2b-256 checksum
How to use checksums
c755647995c05c5de16b8bb5f9c7ef55cde5edec74472e2b9c0d865bb1e5ba9e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.7

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Dec 20, 2025.

Transparency log

Release files / ant_ray_cpp-3.0.0.dev0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

File added late

This file was uploaded more than 14 days after the first file in this release.

While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.

We recommend inspecting the release file before installing.

Download URL ant_ray_cpp-3.0.0.dev0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 10.4 MB
Tags CPython 3.11 Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums
02e29f7ad6b12d890a3d6ef6c3276b99e4af2b12a1647d587437c54c395ecaed
BLAKE2b-256 checksum
How to use checksums
ad9f11700434343d42cdf2328d5526baa67a96d2bca7651a99d542e22b36d876
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.7

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Dec 20, 2025.

Transparency log

Release files / ant_ray_cpp-3.0.0.dev0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

File added late

This file was uploaded more than 14 days after the first file in this release.

While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.

We recommend inspecting the release file before installing.

Download URL ant_ray_cpp-3.0.0.dev0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 10.7 MB
Tags CPython 3.10 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
8daa7e6a599054c4cd13f51905bbb9dbacf2bd420e8946a32a0c32e1367a833e
BLAKE2b-256 checksum
How to use checksums
26b196d8bb4bbfcfd557a142655d26736c32b6cc1bba5e852e38698ee05964d5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.7

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Dec 20, 2025.

Transparency log

Release files / ant_ray_cpp-3.0.0.dev0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

File added late

This file was uploaded more than 14 days after the first file in this release.

While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.

We recommend inspecting the release file before installing.

Download URL ant_ray_cpp-3.0.0.dev0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 10.4 MB
Tags CPython 3.10 Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums
17278a45f9699bb99d4bd72b1b31ac31eff7b105354c0d0c4b134904c2f3af6e
BLAKE2b-256 checksum
How to use checksums
f84ef77c23682893067e89ad6d748ee22f38fb14f766b54ed473b4675735effc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.7

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Dec 20, 2025.

Transparency log

Release files / ant_ray_cpp-3.0.0.dev0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL ant_ray_cpp-3.0.0.dev0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 30.5 MB
Tags CPython 3.9 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
0a909e05736eb10e75c2be8f2333b1d5b636fcbe5a24ae3aa80d313ff4470005
BLAKE2b-256 checksum
How to use checksums
8e360668d4e790c0afc5e42b549dee6a5c46580b8a5861f819a364473f53de75
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.9.18

Release files / ant_ray_cpp-3.0.0.dev0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

File added late

This file was uploaded more than 14 days after the first file in this release.

While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.

We recommend inspecting the release file before installing.

Download URL ant_ray_cpp-3.0.0.dev0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 10.4 MB
Tags CPython 3.9 Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums
2277d19c7e44099361d0998bb7d079b3102f3b443fc6b39505a45f9c3474a79d
BLAKE2b-256 checksum
How to use checksums
4c2b614a24cdc03c1356777bbf3f9df929393c4e4c07be5eb98d6d27db84b5e5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.7

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Dec 20, 2025.

Transparency log

Release history Release notifications | RSS feed

This release

3.0.0.dev0 This release

8 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page