Just less than nvidia-smi?
$ gpustat
Options:
--color
: Force colored output (even when stdout is not a tty)--no-color
: Suppress color (by default, color is automatically enabled)-u
,--show-user
: Display username of the process owner-c
,--show-cmd
: Display the process name-p
,--show-pid
: Display PID of the process--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
(andnvidia-smi
) is PCI BUS ID, while CUDA differently assigns the fastest GPU with the lowest ID by default. Therefore, in order to make CUDA andgpustat
use same GPU index, configure theCUDA_DEVICE_ORDER
environment variable toPCI_BUS_ID
(before settingCUDA_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