Tired of wrestling with complex GPU setups? This video is your one-stop shop for setting up Ubuntu 24.04 LTS with WSL 2 and configuring it for deep learning with NVIDIA CUDA Toolkit and cuDNN using Miniconda.
In this step-by-step guide, you'll learn:
How to effortlessly install Ubuntu 24.04 LTS within Windows using WSL 2.
Installing the latest NVIDIA CUDA Toolkit compatible with WSL.
Downloading and configuring cuDNN for seamless GPU acceleration in your deep learning projects.
Setting up a Miniconda environment for streamlined dependency management.
By the end of this video, you'll have a powerful development environment ready to tackle your next AI and Machine Learning projects!
Keywords: Ubuntu 24.04 LTS, WSL 2, CUDA Toolkit, cuDNN, Deep Learning, Machine Learning, Miniconda, NVIDIA GPU
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sudo apt update
sudo apt upgrade
sudo apt install -y build-essential
CUDA Toolkit:
wget developer.download.nvidia.com...
sudo sh cuda_12.4.1_550.54.15_linux.run
Path:
nano ~/.bashrc
export PATH=/usr/local/cuda-12.4/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-12.4/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
source ~/.bashrc
cuDNN
wget developer.download.nvidia.com...
sudo dpkg -i cudnn-local-repo-ubuntu2204-9.2.0_1.0-1_amd64.deb
sudo cp /var/cudnn-local-repo-ubuntu2204-9.2.0/cudnn-*-keyring.gpg /usr/share/keyrings/
sudo apt-get update
sudo apt-get -y install cudnn-cuda-12
Miniconda 3.10
wget repo.anaconda.com/miniconda/M...
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Video Chapters with Timestamps:
00:00 Intro
01:17 WSL - UBUNTU 24.04 Install
03:10 Prepare Ubuntu for CUDA
05:06 CUDA Toolkit Install
07:06 Configure CUDA Toolkit Path
08:35 cuDNN Install
10:43 Miniconda Python 3.10
11:56 Conclusion
12:35 Outro