Metadata-Version: 2.4
Name: ai-gpu-pkgs
Version: 0.1.0
Summary: Automatic GPU package installer for AI/ML development
Author-email: mrbeandev <mrbeandev@gmail.com>
License: MIT
Project-URL: Homepage, https://github.com/mrbeandev/cuda-auto-installer
Project-URL: Repository, https://github.com/mrbeandev/cuda-auto-installer
Project-URL: Issues, https://github.com/mrbeandev/cuda-auto-installer/issues
Keywords: ai,gpu,cuda,pytorch,model-context-protocol
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pynvml>=11.0.0
Dynamic: license-file

# AI GPU Packages Installer

A Python package that automatically detects your NVIDIA GPU, determines the appropriate CUDA and PyTorch versions, and installs them for you.

## Installation

```bash
pip install ai-gpu-pkgs
```

## Usage

```bash
ai-gpu-pkgs setup
```

This command will:

1. Detect if you have an NVIDIA GPU
2. Check your current CUDA installation
3. Ask if you want to create a new virtual environment
4. Install PyTorch with CUDA support
5. Verify the installation

## Requirements

- Python 3.8+
- NVIDIA GPU with CUDA support
- Internet connection for downloading packages

## Features

- Automatic GPU detection
- CUDA version detection
- Virtual environment creation (optional)
- PyTorch installation with CUDA support
- Installation verification

## Development

To install in development mode:

```bash
git clone https://github.com/mrbeandev/cuda-auto-installer.git
cd cuda-auto-installer
pip install -e .
```

## License

MIT License
