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:
- Detect if you have an NVIDIA GPU
- Check your current CUDA installation
- Ask if you want to create a new virtual environment
- Install PyTorch with CUDA support
- 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
Metadata
Release files for ai-gpu-pkgs 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| ai_gpu_pkgs-0.1.0.tar.gz | 5.3 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ai_gpu_pkgs-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.0 kB
Release files / ai_gpu_pkgs-0.1.0.tar.gz
| Download URL | ai_gpu_pkgs-0.1.0.tar.gz |
|---|---|
| Size | 5.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
fa4339392eed58c88491a186527cd99eb0bc4f740b8366decaac57be10f39edb
|
|
BLAKE2b-256 checksum How to use checksums |
bb0c835be1fd583c2d0ad4a41cbc7dd4d2d4c0c353ecd19c611529a5af568954
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.6
|
Release files / ai_gpu_pkgs-0.1.0-py3-none-any.whl
| Download URL | ai_gpu_pkgs-0.1.0-py3-none-any.whl |
|---|---|
| Size | 5.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
b8420923b3a63dadea0cc65b9b01e37c417cd4382681c5aeeb0cbfb0997990d5
|
|
BLAKE2b-256 checksum How to use checksums |
00fe1e91fb5d5ee9f22e459fad824fbe010552efb9312cdcd90e89d96814eeef
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.6
|
Security for ai-gpu-pkgs 0.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.