Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
A real-time web interface for monitoring NVIDIA GPUs.
- Real-time monitoring of NVIDIA GPU statistics
- Clean, modern, responsive web interface
- Historical utilization graphs
- Process monitoring
- Command-line interface
- Background server mode
- Python 3.6+
- NVIDIA GPU with installed drivers
- NVIDIA Management Library (NVML)
pip install gpus# Start the web interface in the foreground (default port 5000)
gpus
# Specify a different port
gpus --port 8080
# or with the short option
gpus -P 8080
# Specify update interval (in seconds)
gpus --update-interval 2.0
# or with the short option
gpus -U 2.0
# Specify history length (in seconds)
gpus --history-length 600
# or with the short option
gpus -L 600
# Specify history resolution (in seconds)
gpus --history-resolution 1.0
# or with the short option
gpus -R 1.0Then open your web browser and navigate to http://localhost:5000 (or the port you specified).
You can run the server in the background and manage it with subcommands:
# Start the server in the background
gpus start
# Check if the server is running
gpus status
# Stop the background server
gpus stopThe background server uses the same command-line options as the foreground server:
# Start the background server on a specific port
gpus -P 8080 startfrom gpus.app import GPUMonitorApp
# Create the application
app = GPUMonitorApp(
update_interval=2.0,
history_length=300,
history_resolution=1.0
)
# Run the application
app.run(host='0.0.0.0', port=5000)# Clone the repository
git clone https://github.com/fakerybakery/gpus
cd gpus
# Create a virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install in development mode
pip install -e .MIT License
Disclaimer: This was mostly a vibe-coded project. Use at your own risk.