Just less than nvidia-smi?

$ gpustat

Options:

• --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)
• --json : JSON Output (Experimental, #10)

• To periodically watch, try watch --color -n1.0 gpustat --color (built-in watch support will be added soon).
• 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

Install from PyPI:

pip install gpustat

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

pip install git+https://github.com/wookayin/gpustat.git@master

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

wget https://raw.githubusercontent.com/wookayin/gpustat/v0.3.2/gpustat.py -O ~/.local/bin/gpustat
chmod +x ~/.local/bin/gpustat    # Assuming ~/.local/bin is in your $PATH

MIT License