Step-by-Step Guide: Install NVIDIA GPU Driver, CUDA Toolkit, cuDNN, and TensorRT on Windows 11

แชร์
ฝัง
  • เผยแพร่เมื่อ 29 มิ.ย. 2024
  • 🚀 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](www.nvidia.com/en-us/software...)
    - Visual Studio: [Visual Studio Community Edition](visualstudio.microsoft.com/vs...)
    - Nvidia Nsight VS: [Nvidia Nsight for Visual Studio](developer.nvidia.com/nsight-v...)
    - Miniconda: [Miniconda installer links](docs.anaconda.com/free/minico...)
    - CUDA Toolkit: [CUDA Toolkit Archive](developer.nvidia.com/cuda-too...)
    - cuDNN: [cuDNN Archive](developer.nvidia.com/rdp/cudn...)
    - TensorRT: [TensorRT Download](developer.nvidia.com/tensorrt...)
    - TensorRT Documentation: [TensorRT Installation Guide](docs.nvidia.com/deeplearning/...)
    Join The Community:
    Subscribe to our channel for more tutorials on AI, machine learning, and tech tips. Hit the notification bell so you never miss an update!
    Hashtags:
    #NVIDIA #CUDA #cuDNN #TensorRT #Windows11 #MachineLearning #AIGuide #TechTutorial

ความคิดเห็น • 11

  • @TEXASMOFO
    @TEXASMOFO 21 ชั่วโมงที่ผ่านมา +1

    Very informational video... clear and concise. 👍

    • @TechJotters24
      @TechJotters24  19 ชั่วโมงที่ผ่านมา

      Thank you!!!

  • @michaeldang4288
    @michaeldang4288 28 วันที่ผ่านมา +1

    Thank you so much, this is the exact video i've been searching for. Your video moves at the perfect pace and everything is easy to follow. will definitley be watching your other videos after this one. great work!

    • @TechJotters24
      @TechJotters24  28 วันที่ผ่านมา

      Thank you @michaeldang4288

  • @marcosvazquez1648
    @marcosvazquez1648 26 วันที่ผ่านมา

    very nice job

  • @mohamadelsawi
    @mohamadelsawi 4 วันที่ผ่านมา

    hello my friend i did everything you said , and thank you alot for your effort , i have question when i reached to the part you will install pytorch , i found that i have it on my pc , should i do the same as you did , and why to do that :)
    another question ^^
    will i open conda to be in env everytime i restart my pc or it will be permanent work , as i will use stable diffusion with TensorRt extension

    • @TechJotters24
      @TechJotters24  3 วันที่ผ่านมา

      Hi, I installed PyTorch to test whether it can you the GPU or not. If you don’t need PyTorch, you can skip it. It’s only for testing.

  • @yuval_kahan
    @yuval_kahan 27 วันที่ผ่านมา

    why you didn't install pytorch 2.3.0 ?

    • @TechJotters24
      @TechJotters24  26 วันที่ผ่านมา +1

      Hi, I installed Cuda toolkit 12.4 and only the pytorch nightly version supports Cuda Toolkit 12.4 right now. If you want to install PyTorch 2.3.0, It; better to install Cuda toolkit 12.1. The installation process is same.