How to setup NVIDIA GPU for PyTorch with CUDA and cuDNN on Windows 10/11 | Step by Step

Are you ready to supercharge your PyTorch projects with GPU acceleration on Windows 10 or 11? Look no further! In this comprehensive tutorial, we'll walk you through the entire process of setting up your NVIDIA GPU for PyTorch using CUDA and cuDNN.
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Here's what you'll learn:
1. Checking GPU compatibility with PyTorch.
2. Installing and Setting up CUDA Toolkit for GPU acceleration.
3. Installing cuDNN for enhanced deep learning performance.
4. Configuring PyTorch to utilize your GPU for faster training and inference.
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Download Links:
1. Python: www.python.org...
2. Anaconda: www.anaconda.c...
3. PyTorch: pytorch.org/ge...
4. CUDA: developer.nvid...
5. cuDNN Archive: developer.nvid...
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Used Commands:
1: To check the CUDA Version
nvcc --version
2: To check the Python Version
python --version
3: To Verify Pytorch
import torch
print("Number of GPU: ", torch.cuda.device_count())
print("GPU Name: ", torch.cuda.get_device_name(0))
x = torch.rand(4,3)
print(x)
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Enviroment Variables:
Variable Name
CUDA_PATH C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1
CUDA_PATH_V11_2 C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2
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[@ゆきかさはら]

あなたの動画が私を救いました。 現在あなたは少なくとも、10人の命を救っています。 ありがとう🎉

[@dennysuarez5777]

this video can help to run runtimeoxx? on my pc windowns 11?

[@TechHubPy]

Yes, the video on setting up an NVIDIA GPU for PyTorch with CUDA and cuDNN on Windows 10/11 can help you configure your system to run machine learning tasks, including ONNX Runtime (which I assume is what you meant by "runtimeoxx") on your Windows 11. ONNX Runtime can leverage CUDA and cuDNN for GPU acceleration.

[@ikerhurtado6604]

Thank you bro

[@1811artur]

which version of visual studio do you use?

[@TechHubPy]

it doesn't matter. You can use the latest version of Visual Studio Code.

[@sinancavusoglu9465]

This is very good instruction