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0.1.0

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ai-gpu-pkgs

Automatic GPU package installer for AI/ML development

aicudagpumodel-context-protocolpytorch
Published23 Oct 2025
Direct dependencies1
Transitive dependenciesNot calculated

README

Version 0.1.0 documentation

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

pip install ai-gpu-pkgs

Usage

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:

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

License

MIT License

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Declared dependencies 1

Native requirements
1 direct targetsNot calculated transitive count
Package / targetRequirementRelationship
pynvml
Environment
{
  "extras": "",
  "marker": null,
  "requires_python": ">=3.8",
  "evaluation": "NOT_EVALUATED"
}
pynvml>=11.0.0runtime

Distribution files

2 collected
ai_gpu_pkgs-0.1.0-py3-none-any.whl

bdist_wheel · 5.59 KB · Python py3

Source file
ai_gpu_pkgs-0.1.0.tar.gz

sdist · 5.19 KB · Python source

Source file

Repository

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mrbeandev/cuda-auto-installer

Shared repository data · GitHub

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Observed since 21 Oct, 10:50 UTC

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package_version:7d5f47824b7bcc960431bfda964e5508f8635d073da87e248199b2bdac23904a

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