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How to Get the CUDA and cuDNN Version on Windows with Anaconda Installed

As a data scientist or software engineer working on deep learning projects, you may need to check the version of CUDA and cuDNN installed on your Windows machine with Anaconda installed. This information is crucial because it ensures that your machine is compatible with the deep learning frameworks you are using, such as TensorFlow or PyTorch. In this article, we will show you how to get the CUDA and cuDNN version on Windows with Anaconda installed.
By Saturn Cloud | | Miscellaneous

How to Get the CUDA and cuDNN Version on Windows with Anaconda Installed

As a data scientist or software engineer working on deep learning projects, you may need to check the version of CUDA and cuDNN installed on your Windows machine with Anaconda installed. This information is crucial because it ensures that your machine is compatible with the deep learning frameworks you are using, such as TensorFlow or PyTorch. In this article, we will show you how to get the CUDA and cuDNN version on Windows with Anaconda installed.

Prerequisites

Before we begin, you need to have the following prerequisites installed on your machine:

  • Windows operating system
  • Anaconda distribution for Python
  • NVIDIA graphics card with CUDA support

Step 1: Check the CUDA version

To check the CUDA version, type the following command in the Anaconda prompt:

nvcc --version

This command will display the current CUDA version installed on your Windows machine. The output will look something like this:

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Sun_Jul_28_19:07:16_Pacific_Daylight_Time_2019
Cuda compilation tools, release 10.1, V10.1.243

In this example, the current CUDA version installed is 10.1.

Step 2: Check the cuDNN version

  • Navigate to the cuDNN library file’s directory (typically located in the “bin” directory of your CUDA installation).

  • Locate the cuDNN library file, which is usually named something like cudnn64_<version>.dll.

  • Right-click on the cuDNN library file, select “Properties,” and go to the “Details” tab.

  • In the “Details” tab, you should find the “File version” or “Product version” information, which will indicate the cuDNN version.

Conclusion

In this article, we showed you how to get the CUDA and cuDNN version on Windows with Anaconda installed. By following these steps, you can ensure that your machine is compatible with the deep learning frameworks you are using. Knowing the current CUDA and cuDNN version installed on your machine is crucial because it ensures that you can take advantage of the latest features and optimizations available in the frameworks.

If you encounter any issues with the CUDA or cuDNN versions installed, you may need to update them. You can find the latest versions of CUDA and cuDNN on the NVIDIA website. Updating the CUDA and cuDNN versions may require you to update your deep learning framework as well, so be sure to check the compatibility before making any updates.

We hope this article has been helpful in guiding you through the process of checking the CUDA and cuDNN version on Windows with Anaconda installed. If you have any questions or comments, please feel free to leave them below.

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