This module makes it easy to find available gpus in a multi gpu system. It was tested on Ubuntu 16.04 and Windows 10. The most common use case is machine learning on a gpu server shared among multiple users. It calls nvidia-smi in a subprocess and parses it's output to find all gpus which are currently unused.
- Python >= 3.6 (Most likely backwards compatible to all versions of 3.x and if you remove f-strings and type hints)
- nvidia-smi (Tested with versions 410.104 and 425.25)
You can use nvsmpy find unoccupied GPUs in your system. What the criteria for this are defined in available.py.
from nvsmpy import get_free_gpu_ids
free_gpus = get_free_gpu_ids()Using nvsmpy you can query nvidia-smi directly. To generate a list of queries supported by your system run setup.py, which will create a json file in the nvsmpy folder.
from nvsmpy import query
utils = query("temperature.memory")Furthermore you can display the nice system overview that nvidia-smi generates:
from nvsmpy import print_gpu_stats
print_gpu_stats()