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So what's the enterprise-quality solution for querying the GPU for the information they need? If I search Google for "nvidia-smi.exe", one of the top results i

So what's the enterprise-quality solution for querying the GPU for the information they need? If I search Google for "nvidia-smi.exe", one of the top results is a Stack Overflow answer with 70 upvotes, describing exactly the approach taken by the linked code. https://stackoverflow.com/a/57100016 https://stackoverflow.com/a/57100016

jasomill 2y ago
Sounds like, at best, a great way to find obsolete copies of nvidia-smi.exe shipped with installed but inactive driver versions. On all my Windows/Nvidia systems, the current version of nvidia-smi.exe is present in %SystemRoot%\System32. OTOH, …\FileRepository*\nvidia-smi.exe matches anywhere from one to eight versions, dating back to 2023. Perhaps this is only true because I use official Nvidia mechanisms (.exe installer from Nvidia Web site or Nvidia-supplied app) to install drivers, rather than Windows Update or INF install? Incidentally, the wildcard …\FileRepository\nvdm* suggested in the Stack Overflow answer returns zero directories on my systems, as all Nvidia driver repository directories start with either nv_dispi (GeForce) or nv_dispwi (workstation). Which makes sense, because obviously the INF file name used to generate these directory names is subject to change without notice. In any case, per "nvidia-smi --help": Note that the functionality of NVSMI is exposed through the NVML C-based library. See the NVIDIA developer website for more information about NVML. Python wrappers to NVML are also available. The output of NVSMI is not guaranteed to be backwards compatible; NVML and the bindings are backwards compatible. http://developer.nvidia.com/nvidia-management-library-nvml/ http://pypi.python.org/pypi/nvidia-ml-py/