---
id: triton
version: "3.7.1"
license: unclear
license_treatment: permissive
maintenance: active
---

# triton — A language and compiler for custom Deep Learning operations

License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI

## Install

pip install triton
uv add triton
poetry add triton

## Description

| **`Documentation`** | **`Nightly Wheels`** |
|-------------------- | -------------------- |
| [![Documentation](https://github.com/triton-lang/triton/actions/workflows/documentation.yml/badge.svg)](https://triton-lang.org/) | [![Wheels](https://github.com/triton-lang/triton/actions/workflows/wheels.yml/badge.svg)](https://github.com/triton-lang/triton/actions/workflows/wheels.yml) |

# Triton Conference 2025

![Triton Banner](https://github.com/user-attachments/assets/b4b6972a-857c-417f-bf2c-f16f38a358c0)

The 3rd Triton Developer Conference took place on October 21, 2025 at the Microsoft Silicon Valley Campus in Mountain View, California.

### Conference Materials

Conference recordings and materials are now available online:

- **Conference Videos:** [YouTube Playlist](https://www.youtube.com/playlist?list=PLc_vA1r0qoiQqCdWFDUDqI90oY5EjfGuO)
- **Conference Slides:** [Google Drive Folder](https://drive.google.com/drive/folders/1KB6tD3UM1J0_eUp-F-JSlGrargLBawIr)

For previous conference materials, see:
- [2024 Conference Materials](docs/meetups/dev_conference_2024.md)
- [2023 Conference Materials](docs/meetups/dev-meetup-2023.md)

# Triton

This is the development repository...

## AI interpretation — verify before relying

Triton is a language and compiler for writing highly efficient custom deep-learning primitives, enabling GPU and CPU code generation at higher productivity than CUDA with greater flexibility than domain-specific languages.

Verdict: Triton is actively maintained with recent releases and no known vulnerabilities. Install friction is moderate due to platform specificity, but permissive licensing and broad Python version support (3.10–3.14) make it accessible for GPU-accelerated workloads. Suitable for production use where custom kernel performance is critical.

[View on SkillFed](https://skillfed.io/packages/triton) · [View on PyPI](https://pypi.org/project/triton/)