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Asked: 2024-09-22T01:02:23+05:30

How can I determine the version of CUDA installed on my system?

Hey everyone! I’m trying to figure out the version of CUDA that’s installed on my computer, but I’m a bit stuck. I’ve looked through some documentation and forums, but I haven’t found a straightforward answer. Can anyone share the steps or commands I should follow to determine my CUDA version? I’d appreciate any tips or tricks you have! Thanks!

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    3 Answers


    1. To determine the version of CUDA installed on your computer, you can utilize a few straightforward methods. If you have access to the terminal or command prompt, the simplest way is to run the command nvcc --version. This command will display the version of the NVIDIA CUDA Compiler (nvcc) along with other relevant version information. Alternatively, if CUDA is properly installed, you can check the version from the CUDA Toolkit directory. Navigate to /usr/local/cuda/version.txt on Linux or C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\vX.Y\version.txt on Windows (replace X.Y with the version number) to find a text file containing the version info.

      Another reliable method is to check through the NVIDIA Control Panel. Right-click on your desktop and select NVIDIA Control Panel. Then go to System Information in the bottom left corner. In the System Information window, under the Components section, you will find details about your CUDA version. If you are using a deep learning framework like TensorFlow or PyTorch, you can also easily find the CUDA version by running a snippet of code in Python, for example: import torch; print(torch.version.cuda) for PyTorch. These steps should help you accurately determine your installed CUDA version.







    2. Check CUDA Version

      How to Check Your CUDA Version

      Hi there! If you’re looking to find out which version of CUDA is installed on your computer, you can follow these simple steps:

      1. Using Command Line:
        • Open the Command Prompt (on Windows) or Terminal (on macOS/Linux).
        • Type the following command and press Enter:
          • nvcc --version
        • This should display information about your CUDA installation, including the version number.
      2. Check the CUDA Installation Path:
        • On Windows, you can navigate to C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA.
        • On macOS, check /usr/local/cuda.
        • Inside the folder, you might see directories named with the CUDA version, like v11.3. That indicates the installed version.
      3. Look in the Documentation:
        • If you have the NVIDIA GPU driver installed, sometimes the version is listed in the NVIDIA Control Panel or settings.

      If you run into any issues or get stuck, feel free to ask for more help! Good luck!







    3. How to Check CUDA Version

      How to Check Your CUDA Version

      Hello! I totally understand your frustration with figuring out the CUDA version installed on your computer. Here are a few methods you can use to find it out:

      Method 1: Using the Command Line

      1. Open a terminal (Command Prompt on Windows, Terminal on macOS or Linux).
      2. Type the following command and hit Enter:
        3. nvcc --version
      3. This should output the version of CUDA installed on your system. Look for a line that starts with “Cuda compilation tools”.

      Method 2: Checking the Installed Directory

      1. Navigate to the CUDA installation directory. By default, it is usually located at:
        • Windows: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA
        • Linux: /usr/local/cuda
        • macOS: /usr/local/cuda
      2. Inside that folder, you should find a folder named after the version of CUDA that’s installed (e.g., v11.4).

      Method 3: Using NVIDIA System Management Interface

      1. In the terminal, type the following command:
        2. nvidia-smi
      2. This command will display your GPU information along with the CUDA version in use.

      Hopefully, one of these methods helps you find out your CUDA version! If you need further assistance, feel free to ask. Good luck!