🚀 Welcome to our comprehensive tutorial on installing and configuring NVIDIA graphics card drivers, CUDA Toolkit, cuDNN, and TensorRT on Windows 11! If you’re looking to boost your machine learning and AI capabilities, this video is for you. Follow along as we break down each step, ensuring you get your system up and running smoothly.
In This Video, You’ll Learn:
NVIDIA Graphics Card Driver Installation: How to download and install the latest drivers for your NVIDIA GPU.
CUDA Toolkit Installation: Step-by-step instructions to install CUDA Toolkit, enabling GPU acceleration for your projects.
cuDNN Installation: How to integrate NVIDIA's deep neural network library for high-performance neural network training.
TensorRT Installation: Optimize and deploy your AI models efficiently with NVIDIA TensorRT.
Chapters:
0:00 Introduction
0:43 Installing NVIDIA Graphics Card Driver
3:11 Prerequisites
3:46 Visual Studio Community Edition
4:55 Nvidia Nsight Visual Studio
5:57 Installing Mini conda
8:45 Cuda Toolkit 12.4.1
12:12 cuDNN Configuration
14:55 TensorRT installation
20:35 Pytorch with CUDA
23:05 Conclusion
Useful Links:
- NVIDIA App: [NVIDIA's official software page]([ Ссылка ])
- Visual Studio: [Visual Studio Community Edition]([ Ссылка ])
- Nvidia Nsight VS: [Nvidia Nsight for Visual Studio]([ Ссылка ])
- Miniconda: [Miniconda installer links]([ Ссылка ])
- CUDA Toolkit: [CUDA Toolkit Archive]([ Ссылка ])
- cuDNN: [cuDNN Archive]([ Ссылка ])
- TensorRT: [TensorRT Download]([ Ссылка ])
- TensorRT Documentation: [TensorRT Installation Guide]([ Ссылка ])
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Hashtags:
#NVIDIA #CUDA #cuDNN #TensorRT #Windows11 #MachineLearning #AIGuide #TechTutorial
