---
id: cuda-pathfinder
version: "1.6.0"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# cuda-pathfinder — Pathfinder for CUDA components

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

## Install

pip install cuda-pathfinder
uv add cuda-pathfinder
poetry add cuda-pathfinder

## Description

.. SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
.. SPDX-License-Identifier: Apache-2.0

*******************************************************
cuda-pathfinder: Utilities for locating CUDA components
*******************************************************

.. image:: https://img.shields.io/badge/NVIDIA-black?logo=nvidia
   :target: https://www.nvidia.com/
   :alt: NVIDIA

`cuda.pathfinder <https://nvidia.github.io/cuda-python/cuda-pathfinder/>`_
aims to be a one-stop solution for locating CUDA components. Currently
it supports locating and loading dynamic libraries (``.so``, ``.dll``), and
locating CTK header directories. Support for other artifacts is in progress.

* `Documentation <https://nvidia.github.io/cuda-python/cuda-pathfinder/>`_
* `Releases <https://nvidia.github.io/cuda-python/cuda-pathfinder/latest/release.html>`_
* `Repository <https://github.com/NVIDIA/cuda-python/tree/main/cuda_pathfinder/>`_
* `Issue tracker <https://github.com/NVIDIA/cuda-python/issues/>`_ (select component ``cuda.pathfinder``)

``cuda.pathfinder`` is under active development. Feedback and suggestions are...

## AI interpretation — verify before relying

Locates and loads CUDA Toolkit components—dynamic libraries (.so, .dll) and CTK header directories—providing a unified interface for discovering CUDA artifacts across different system configurations.

Verdict: A lightweight, actively maintained utility from NVIDIA for discovering CUDA components across platforms. Zero runtime dependencies, permissive licensing, and no known vulnerabilities make it a low-risk choice for projects needing programmatic CUDA artifact discovery.

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