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If you don't need CUDA acceleration, you don't need to install or configure CUDA, cuDNN, etc. ​

CUDA is a tool from NVIDIA that enables your graphics card to handle more tasks. In this software (pyVideoTrans), if you want to enable CUDA acceleration, you must first install the CUDA environment. This guide will walk you through installing CUDA 12.6 and the corresponding cuDNN 9.8 on Windows 10.

Why choose CUDA 12.6 instead of 12.8? Because 12.8 is the latest version and may not be fully compatible with some software yet, leading to potential issues. 12.6 is a relatively stable and up-to-date version. Of course, if you prefer 12.4 or 12.8, the installation process is similar—just adjust the version numbers according to this tutorial.

Step 1: Check if your graphics card is from NVIDIA ​

  1. Open Device Manager

    • Right-click the "Start" button (the Windows icon) in the bottom-left corner of the desktop.
    • Select "Windows Administrative Tools - Computer Management" from the menu to open the window.

  2. Find graphics card information

    • In the Computer Management window, click Device Manager on the left, then find "Display adapters" on the right and click the small arrow to expand it.

    • Look for "NVIDIA" in the list, such as "NVIDIA GeForce GTX 1660".

    • If present, congratulations—your graphics card is from NVIDIA, and you can proceed. If not (e.g., it shows "Intel" or "AMD"), CUDA won't work, and this tutorial ends here.

Step 2: Check and update your graphics card driver ​

  1. Open NVIDIA management software

    • If you have the graphics driver installed, there might be a green "NVIDIA" icon in the taskbar (near the time). Right-click it and select "NVIDIA GeForce Experience" to open.

    • If not, skip to step 3 to download manually.

  2. Check driver version and update

    • After opening, click "Drivers" in the top-left corner.
    • It will show the current driver version (e.g., "546.33"). If a new version is available, there will be a "Download" button.
    • Click "Download" and follow the prompts to install, then restart your computer.

  3. No software? Download driver manually

Step 3: Check if CUDA is already installed and determine the maximum supported version ​

  1. Open Command Prompt (CMD)

    • Press the Windows key + R on your keyboard to open the "Run" window.
    • Type cmd and press Enter to open a black command-line window.

  2. Check CUDA version

    • In the command line, type: nvcc -V

    Press Enter. If it shows something like Cuda compilation tools, release 12.6, V12.6.xxx, CUDA is installed with version 12.6. If it says "not recognized as an internal or external command", CUDA is not installed—proceed with installation.

If the version is 11.x, uninstall it first and then reinstall 12.x.

  1. Check the maximum supported CUDA version

    • In the command line, type: nvidia-smi

    Press Enter; a table will appear with "CUDA Version" in the top-right corner (e.g., 12.6 or higher). This indicates the highest version your driver supports. As long as it's 12.6 or above, you can install CUDA 12.6.
    If it shows 11.x, your graphics driver is too old—update it first.

Step 4: Download and install CUDA 12.6 ​

  1. Download CUDA 12.6

  2. Install CUDA (Custom mode)

    • Double-click the downloaded file, agree to the license, and click Next.

    • Choose "Custom (Advanced)" installation, then click Next.

    • In the options list, only check the first row "CUDA" and uncheck all others to avoid conflicts.

    • Then click the + next to CUDA and uncheck Visual Studio Integration to prevent installation failures.

    • Click "Next" and follow the prompts to complete installation. The default path is C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.6.

  3. What to do if there's an error?

    • If installation fails with "Not installed" or "Failed", the options may be incorrect. Rerun the installer, choose custom installation, ensure only the first row "CUDA" is selected, uncheck all others, and under CUDA, uncheck Visual Studio Integration.
    • If errors persist, proceed to the next step to install Visual Studio.

Step 5: Install Visual Studio (if CUDA installation fails) ​

If you unchecked Visual Studio Integration in the previous step, errors should not occur. If they do, follow this to install Visual Studio.

  1. Download Visual Studio Community Edition

  2. Install C++ development environment

    • Double-click the installer, and in the pop-up window, select "Desktop development with C++".
    • Click "Install"; it may take several tens of minutes. Restart your computer after installation.

  3. Reinstall CUDA 12.6

    • Return to Step 4, rerun the CUDA installer, and in custom mode, select only "Runtime" for installation. It should succeed this time.

Step 6: Verify CUDA installation and configure environment variables ​

  1. Check if installation was successful

    • Open CMD (Windows key + R, type cmd).
    • Type: nvcc -V
      If it shows Cuda compilation tools, release 12.6, V12.6.xxx, installation was successful. If it says "not recognized as an internal or external command", you need to add environment variables.

  2. Add CUDA to environment variables (usually set automatically; if not, add manually)

    • Right-click "This PC", select "Properties" > "Advanced system settings" > "Environment Variables".
    • Under "System variables", find "Path", click "New", and add:
      C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.6\bin
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.6\lib
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.6\include
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.6\libnvvp
    • Click "OK" to save and close all windows.
    • Reopen CMD and type nvcc -V; you should see the version information now.

Step 7: Install cuDNN 9.8 ​

  1. Download cuDNN 9.8

  2. Install cuDNN

    • Double-click the downloaded .exe file and follow the prompts to install.

If cuDNN is installed but not working in programs, open the installation directory (default C:\Program Files\NVIDIA\CUDNN\v9.8), copy the lib, bin, and include folders, and paste them into C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.6 to overwrite existing files.

Finally: All done! ​

Now CUDA 12.6 and cuDNN 9.8 are installed! You can start running programs that require GPU support. If there are software instructions (e.g., run python script.py), open CMD, navigate to the project folder, and enter the corresponding command to test.