How to Install TensorFlow GPU on Windows 11 | GPU Setup on Windows | TensorFlow GPU Setup

2 min read 6 months ago
Published on Apr 24, 2024 This response is partially generated with the help of AI. It may contain inaccuracies.

Table of Contents

How to Install TensorFlow GPU on Windows

  1. Visit TensorFlow Website:

    • Go to tensorflow.org and install pip for Windows.
  2. Select Windows Native:

    • Open the first link provided on the website.
    • Scroll down and select "Windows native" option.
    • Ensure that you are installing TensorFlow version 2.10 or earlier, as versions after 2.10 are not supported on Windows.
  3. Check Python Version:

    • Make sure you have Python version 3.10 or lower installed.
    • If you have a higher version, create a new environment with Python 3.10.
  4. Install Anaconda:

    • Follow the link in the video description to install Anaconda.
    • Create a new Python environment named "pye310."
  5. Activate Python Environment:

    • Open Anaconda Prompt and activate the Python 3.10 environment using the command: conda activate pye310.
  6. Install CUDA Toolkit:

    • Copy the command provided in the video to install CUDA Toolkit and cuDNN in the "pye310" environment.
    • Activate the environment whenever you need to use TensorFlow with GPU.
  7. Install TensorFlow:

    • Copy the command for installing TensorFlow in the "pye310" environment.
    • Allow the installation to complete, which may take some time depending on your internet speed.
  8. Test GPU Installation:

    • Run Python in the Anaconda Prompt.
    • Import TensorFlow using import tensorflow as tf.
    • Check if the GPU is available by running tf.config.list_physical_devices() or tf.test.is_gpu_available().
  9. Verify GPU Availability:

    • If the output shows that a GPU is available, you have successfully installed TensorFlow with GPU support on your Windows computer.
  10. Conclusion:

    • Congratulations! You have successfully set up TensorFlow with GPU support on your Windows machine, enabling better performance for deep learning tasks.

By following these steps, you can install TensorFlow GPU on your Windows computer and leverage the power of GPU acceleration for your machine learning projects.