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An utility to monitor NVIDIA GPU status and usage

Project description

[![pypi](][pypi_gpustat] [![Build Status](]( [![license](](LICENSE)

Just less than nvidia-smi?

![Screenshot: gpustat -cp](screenshot.png)

NOTE: This works with NVIDIA Graphics Devices only, no AMD support as of now. Contributions are welcome!


$ gpustat


  • –color : Force colored output (even when stdout is not a tty)
  • –no-color : Suppress colored output
  • -u, –show-user : Display username of the process owner
  • -c, –show-cmd : Display the process name
  • -p, –show-pid : Display PID of the process
  • -P, –show-power : Display GPU power usage and/or limit (draw or draw,limit)
  • -i, –interval : Run in watch mode (equivalent to watch gpustat) if given. Denotes interval between updates.
  • –json : JSON Output (Experimental, [#10][gh-issue-10])

### Tips

  • To periodically watch, try gpustat -i (built-in watch support: [#41][gh-issue-41]) or watch –color -n1.0 gpustat –color.
  • Running nvidia-smi daemon (root privilege required) will make the query much faster.
  • The GPU ID (index) shown by gpustat (and nvidia-smi) is PCI BUS ID, while CUDA differently assigns the fastest GPU with the lowest ID by default. Therefore, in order to make CUDA and gpustat use same GPU index, configure the CUDA_DEVICE_ORDER environment variable to PCI_BUS_ID (before setting CUDA_VISIBLE_DEVICES for your CUDA program): export CUDA_DEVICE_ORDER=PCI_BUS_ID

Quick Installation

Install from [PyPI][pypi_gpustat]:

` pip install gpustat `

To install the latest version (master branch) via pip:

` pip install git+ `

If you don’t have root privilege, please try to install on user namespace: pip install –user. Note that from v0.4, is no more a zero-dependency executable. However, in rare cases you’ll need a single executable script (legacy), you can also try:

` wget -O ~/.local/bin/gpustat chmod +x ~/.local/bin/gpustat    # Assuming ~/.local/bin is in your $PATH `

[pypi_gpustat]: [gh-issue-10]: [gh-issue-41]:


[MIT License](LICENSE)

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