Instructions for CUDA v12.8 and cuDNN 9.X installation on Ubuntu 24.04 for PyTorch 2.8.0 and PyTorch3D

cuda_12.8_installation_on_Ubuntu_24.04

#!/bin/bash

### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###

### to verify your gpu is cuda enable check
lspci | grep -i nvidia

### If you have previous installation remove it first. 
sudo apt purge nvidia* -y
sudo apt remove nvidia-* -y
sudo rm /etc/apt/sources.list.d/cuda*
sudo apt autoremove -y && sudo apt autoclean -y
sudo rm -rf /usr/local/cuda*

# system update
sudo apt update && sudo apt upgrade -y

# install other import packages
sudo apt install g++ freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libglu1-mesa libglu1-mesa-dev

# first get the PPA repository driver
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt update

# find recommended driver versions for you
ubuntu-drivers devices

# install nvidia driver with dependencies
sudo apt install libnvidia-common-570 libnvidia-gl-570 nvidia-driver-570 -y

# reboot
sudo reboot now

# verify that the following command works
nvidia-smi

sudo wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/x86_64/cuda-ubuntu2404.pin
sudo mv cuda-ubuntu2404.pin /etc/apt/preferences.d/cuda-repository-pin-600
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/x86_64/3bf863cc.pub
sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/x86_64/ /"

# Update and upgrade
sudo apt update && sudo apt upgrade -y

 # installing CUDA
sudo apt install cuda-12-8 -y

# setup your paths
echo 'export PATH=/usr/local/cuda-12.8/bin:$PATH' >> ~/.bashrc
echo 'export LD_LIBRARY_PATH=/usr/local/cuda-12.8/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
source ~/.bashrc
sudo ldconfig

# install cuDNN
sudo apt install cudnn9-cuda-12 -y 

# Finally, to verify the installation, check
nvidia-smi
nvcc -V

# [Optional] install docker nvidia container support
sudo apt install -y nvidia-container-toolkit
sudo systemctl restart docker

# [Optional] install Pytorch and Pytorch3D
pip install torch==2.8.0 torchvision==0.23.0 torchaudio==2.8.0 --index-url https://download.pytorch.org/whl/cu128

pip install -U fvcore iopath
pip install "git+https://github.com/facebookresearch/pytorch3d.git"