# join the nvidia developer program start-process iexplore " " # download the cudnn library for cuda toolkit 10 start-process iexplore # unzip the cudnn library for cuda toolkit 10 expand-archive "$home\downloads\cudnn-10.2-windows10-圆4-v8.2.2.26.zip" -destinationpath "$home\downloads\cudnn_cuda_toolkit_10\" # move the dll files move-item "$home\downloads\cudnn_cuda_toolkit_10\cuda\bin\cudnn*.dll" "c:\program files\nvidia gpu computing toolkit\cuda\v10.2\bin\" # move the h files move-item "$home\downloads\cudnn_cuda_toolkit_10\cuda\include\cudnn*.h" "c:\program files\nvidia gpu computing toolkit\cuda\v10.2\include\" # move the lib files move-item "$home\downloads\cudnn_cuda_toolkit_10\cuda\lib\圆4\cudnn*.lib" "c:\program files\nvidia gpu computing toolkit\cuda\v10.2\lib\圆4" # download the cudnn library for cuda toolkit 11 start-process iexplore # unzip the cudnn library for cuda toolkit 11 expand-archive "$home\downloads\cudnn-11.4-windows-圆4-v8.2.2.26.zip" -destinationpath "$home\downloads\cudnn_cuda_toolkit_11\" # move the dll files move-item "$home\downloads\cudnn_cuda_toolkit_11\cuda\bin\cudnn*.dll" "c:\program files\nvidia gpu computing toolkit\cuda\v11.4\bin\" # move the h files move-item "$home\downloads\cudnn_cuda_toolkit_11\cuda\include\cudnn*.h" "c:\program files\nvidia gpu computing toolkit\cuda\v11.4\include\" # move the lib files move-item "$home\downloads\cudnn_cuda_toolkit_11\cuda\lib\圆4\cudnn*.lib" "c:\program files\nvidia gpu computing toolkit\cuda\v11.4\lib\圆4" Install the TensorRT Library: This section joins the NVIDIA Developer Program and downloads the CuDNN library and unzips and moves the files into the CUDA directory. uncheck “nvidia geforce experience components” 6. # download the cuda toolkit 11 installer invoke-webrequest -outfile "$home\downloads\cuda_toolkit_11.exe" # open the cuda toolkit 11 installer invoke-item "$home\downloads\cuda_toolkit_11.exe" # install cuda toolkit 11 1. This section downloads and installs the CUDA Toolkit 11. click "next" Install the CUDA Toolkit 11: click "next" # download the cuda 10 update 2 installer invoke-webrequest -outfile "$home\downloads\cuda_10_update_2.exe" # open the cuda 10 update 2 installer invoke-item "$home\downloads\cuda_10_update_2.exe" # install the cuda 10 update 2 1. click "next" # download the cuda 10 update 1installer invoke-webrequest -outfile "$home\downloads\cuda_10_update_1.exe" # open the cuda 10 update 1 installer invoke-item "$home\downloads\cuda_10_update_1.exe" # install the cuda 10 update 1 1. # download the cuda toolkit 10 installer invoke-webrequest -outfile "$home\downloads\cuda_toolkit_10.exe" # open the cuda toolkit 10 installer invoke-item "$home\downloads\cuda_toolkit_10.exe" # install cuda toolkit 10 1. This section downloads and installs the CUDA Toolkit 10 and updates. click "next" Install the CUDA Toolkit 10: # download the cuda driver installer invoke-webrequest -outfile "$home\downloads\cuda_driver.exe" -uri # open the cuda driver installer invoke-item "$home\downloads\cuda_driver.exe" # install the cuda driver 1. This section downloads and installs the latest CUDA driver at the time. click “run as administrator” # download the visual studio 2019 installer invoke-webrequest -outfile "$home\downloads\vsc.exe" -uri # open the visual studio 2019 installer invoke-item "$home\downloads\vsc.exe" # install visual studio 2019 1. enter “powershell” into the search bar 3. This section downloads and installs Visual Studio with C and C support. Tutorials: Artificial Intelligence Repositories.Tutorials: Artificial Intelligence Course.Tutorials: Artificial Intelligence Set Up.It also configures, builds, and runs the BlackScholes sample to test the GPU. It downloads, unzips, and moves the CuDNN and TensorRT files into the CUDA directory. It downloads and installs the CUDA driver, CUDA Toolkits, and CUDA Toolkit updates. This article installs the drivers and programs that are needed to use NVIDIA GPUs to train models and run batch inferences.
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