The GPU Revolution is Here (WSL Guide)
Description:
Looking to harness the full power of your GPU for AI and deep learning? This is the only guide you need! In this comprehensive tutorial, I walk you through the entire process of setting up:
✅ WSL (Windows Subsystem for Linux)
✅ CUDA Toolkit
✅ cuDNN
✅ TensorRT
✅ Visual Studio Code
✅ TensorFlow and PyTorch with proper GPU support
Copy the codes from Github:
https://github.com/mahbub-khan25/WSL-...
You’ll learn how to:
Install and configure each tool step-by-step.
Optimize settings for maximum performance.
Verify that TensorFlow and PyTorch are using your GPU correctly.
Whether you're a beginner or a pro, this guide ensures your system is ready for deep learning and AI tasks. Don't waste hours troubleshooting—watch this video and get started right!
🔗 Chapters:
0:00 Intro
0:35 WSL Installation
3:40 WSL Ubuntu update and GPU test
4:45 CUDA Toolkit
6:50 cuDNN
8:17 TensorRT
9:59 Miniconda
11:52 Tensorflow
12:36 PyTorch
13:31 Register ipykernel
14:04 VSCode
15:08 Jupyter Notebook on VSCode
16:06 Conclusion
💻 Get the most out of your hardware today!
#WSL #CUDA #TensorFlow #PyTorch #AI #DeepLearning #GPUSupport