---
id: cuda-toolkit
version: "13.3.1"
license: unclear
license_treatment: unclear
maintenance: active
---

# cuda-toolkit — CUDA Toolkit meta-package

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

## Install

pip install cuda-toolkit
uv add cuda-toolkit
poetry add cuda-toolkit

## Description

# cuda-toolkit 13.3.1

### [NVIDIA CUDA Toolkit](https://developer.nvidia.com/cuda-toolkit)

> The NVIDIA CUDA Toolkit provides a development environment for creating high-performance, GPU-accelerated applications. With it, you can develop, optimize, and deploy your applications on GPU-accelerated embedded systems, desktop workstations, enterprise data centers, cloud-based platforms, and supercomputers. The toolkit includes GPU-accelerated libraries, debugging and optimization tools, a C/C++ compiler, and a runtime library.

### `cuda-toolkit` package

The `cuda-toolkit` package is a meta-package (a package that contains no software and only installs other packages) to install all or part of the NVIDIA CUDA Toolkit.

For instructions on how to use the `cuda-toolkit` package, please refer to the [NVIDIA CUDA Toolkit documentation](https://docs.nvidia.com/cuda/) and follow the installation guide for your platform. A summary of usage is also available below.

### Using the `cuda-toolkit` package

The `cuda-toolkit` package uses package extras to install all or part of the CUDA Toolkit.
Some examples of using the `cuda-toolkit` meta-package with extras:

Install all of the CUDA...

## AI interpretation — verify before relying

A meta-package that installs NVIDIA CUDA Toolkit components, allowing selective installation of GPU libraries, compilers, and runtime tools through package extras.

Verdict: A convenient entry point for installing NVIDIA CUDA Toolkit components, suitable for GPU development workflows. Low install friction and active maintenance are strengths, but unclear licensing and unspecified Python version support warrant verification before production use.

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