Install PyTorch and TensorFlow Together with GPU Support — Step-by-Step Guide (2025 Tutorial)

In this tutorial, we’ll show you how to install both PyTorch and TensorFlow with full GPU acceleration on the same system — safely, cleanly, and efficiently. This edited version of Techy Man’s Solutions video features better zoom, improved audio, and clearer step-by-step guidance to help beginners set up their deep learning environment without conflicts.

By the end of this video, you’ll learn how to:

✅ Set up your Python environment for AI frameworks

⚙️ Install CUDA Toolkit and cuDNN correctly

💪 Install PyTorch and TensorFlow with GPU support

🚀 Verify GPU acceleration for both frameworks

🧩 Manage dependencies using conda or virtualenv

📚 Official Links & Resources:

🔗 PyTorch Official Site: https://pytorch.org/

🔗 TensorFlow Official Site: https://www.tensorflow.org/

🔗 NVIDIA CUDA Toolkit: https://developer.nvidia.com/cuda-toolkit

🔗 NVIDIA cuDNN Library: https://developer.nvidia.com/cudnn

🔗 Python Official: https://www.python.org/

🔗 Anaconda: https://www.anaconda.com/

🔗 Visual Studio Code: https://code.visualstudio.com/

🎥 Edited and enhanced version of Techy Man’s Solutions tutorial — optimized for clarity and performance.
Attribution to the original creator under Creative Commons license for educational use. 🎬 Source & Credit:
This video uses Creative Commons (CC BY) content from YouTube.
Edits include cuts, captions, and enhancements.

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Видео Install PyTorch and TensorFlow Together with GPU Support — Step-by-Step Guide (2025 Tutorial) канала OpenLearn Tech