My intention is to use the GT 730 cards for data processing only (i.e., for some GPU API) and the GT 640 card for both video output and data processing.Ġ1:00.0 VGA compatible controller: NVIDIA Corporation GK107 (rev a1)Ġ3:00.0 VGA compatible controller: NVIDIA Corporation GF108 (rev a1)Ĩ3:00.0 VGA compatible controller: NVIDIA Corporation GF108 (rev a1)īut ‘nvidia-smi’ shows only the GT 640 card: Everything work just fine for my primary VGA card, a GeForce GT 640, but not for two additional GT 730 cards installed in the system. I have installed the latest Cuda Toolkit (460.32.03). When I ran DLC again, this time it loaded with the GUI.I have a linux box running CentOS 7.9 (fully updated).This installation worked for me, but would not load the GUI.pip install -upgrade tensorflow=2.10.0.DLC might flag that you don’t have the latest version of conda.Follow DLC conda installation instructions.Everything from here is done in the Anaconda Prompt. In my experience, only uninstalling all previous CUDA versions allowed me to switch to the most recently installed version.In cmd, run nvidia-smi, and check that CUDA 11.8 is the version being used by the GPU.Place extracted files in C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.8.When finished, download and extract cuDNN version 8.4.1 for CUDA 11.Do the express install, which will also install the appropriate GPU driver.
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