---
id: cuda-bindings
version: "13.3.1"
license: LicenseRef-NVIDIA-SOFTWARE-LICENSE
license_treatment: unclear
maintenance: active
---

# cuda-bindings — Python bindings for CUDA

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

## Install

pip install cuda-bindings
uv add cuda-bindings
poetry add cuda-bindings

## Description

.. SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
.. SPDX-License-Identifier: LicenseRef-NVIDIA-SOFTWARE-LICENSE

****************************************
cuda-bindings: Low-level CUDA interfaces
****************************************

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

`cuda.bindings <https://nvidia.github.io/cuda-python/cuda-bindings/>`_ is a standard set of low-level interfaces, providing full coverage of and 1:1 access to the CUDA host APIs from Python. Checkout the `Overview <https://nvidia.github.io/cuda-python/cuda-bindings/latest/overview.html>`_ for the workflow and performance results.

* `Repository <https://github.com/NVIDIA/cuda-python/tree/main/cuda_bindings>`_
* `Documentation <https://nvidia.github.io/cuda-python/cuda-bindings/>`_
* `Examples <https://github.com/NVIDIA/cuda-python/tree/main/cuda_bindings/examples>`_
* `Issue tracker <https://github.com/NVIDIA/cuda-python/issues/>`_

For the installation instruction, please refer to the `Installation <https://nvidia.github.io/cuda-python/cuda-bindings/latest/install.html>`_ page.

## AI interpretation — verify before relying

Provides low-level Python bindings for CUDA host APIs, enabling direct 1:1 access to NVIDIA's CUDA runtime from Python with full API coverage.

Verdict: A well-maintained, actively developed package from NVIDIA offering direct CUDA API access for Python developers targeting GPU compute. No known vulnerabilities and broad Python version support (3.10–3.14) are strong signals, but the proprietary license and medium install friction warrant careful evaluation of licensing terms and platform compatibility before adoption.

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