wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin
sudo mv cuda-ubuntu2004.pin /etc/apt/preferences.d/cuda-repository-pin-600
wget https://developer.download.nvidia.com/compute/cuda/11.3.0/local_installers/cuda-repo-ubuntu2004-11-3-local_11.3.0-465.19.01-1_amd64.deb
sudo dpkg -i cuda-repo-ubuntu2004-11-3-local_11.3.0-465.19.01-1_amd64.deb
sudo apt-key add /var/cuda-repo-ubuntu2004-11-3-local/7fa2af80.pub
sudo apt-get update
sudo apt-get -y install cuda
export PATH=/usr/local/cuda-11.3/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-11.3/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
systemctl status nvidia-persistenced
sudo systemctl enable nvidia-persistenced
cat /proc/driver/nvidia/version
Output is :
NVRM version: NVIDIA UNIX x86_64 Kernel Module 465.19.01 Fri Mar 19 07:44:41 UTC 2021
GCC version: gcc version 9.3.0 (Ubuntu 9.3.0-17ubuntu1~20.04)
Download following files from NVIDIA's Developer page for cuDNN:
- libcudnn8-samples_8.2.0.53-1+cuda11.3_amd64.deb
- libcudnn8-dev_8.2.0.53-1+cuda11.3_amd64.deb
- libcudnn8_8.2.0.53-1+cuda11.3_amd64.deb
You will need to create a developer's account at Nvidia to download these deb files. Next, install .deb files:
sudo dpkg -i libcudnn8_8.2.0.53-1+cuda11.3_amd64.deb
sudo dpkg -i libcudnn8-dev_8.2.0.53-1+cuda11.3_amd64.deb
sudo dpkg -i libcudnn8-samples_8.2.0.53-1+cuda11.3_amd64.deb
OS=ubuntu2004
echo $OS
wget https://developer.download.nvidia.com/compute/cuda/repos/${OS}/x86_64/cuda-${OS}.pin
sudo mv cuda-${OS}.pin /etc/apt/preferences.d/cuda-repository-pin-600
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/${OS}/x86_64/7fa2af80.pub
sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/${OS}/x86_64/ /"
sudo apt-get update
cudnn_version=8.1.1.*
cuda_version=cuda11.2
sudo apt-get install libcudnn8=${cudnn_version}-1+${cuda_version}
c
You need to disable secure boot
sudo mokutil --disable-validation
This will ask you to enter password. Reboot. Then enter password. Usually, system will ask you to specific letter of your password.
Then run following command after reboot is finished and you login back to Ubuntu:
nvidia-smi
It's output will be:
Fri Apr 30 21:19:53 2021
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 465.19.01 Driver Version: 465.19.01 CUDA Version: 11.3 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA GeForce ... On | 00000000:01:00.0 Off | N/A |
| N/A 41C P8 3W / N/A | 825MiB / 3914MiB | 7% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| 0 N/A N/A 1084 G /usr/lib/xorg/Xorg 133MiB |
| 0 N/A N/A 1720 G /usr/lib/xorg/Xorg 339MiB |
| 0 N/A N/A 1892 G /usr/bin/gnome-shell 68MiB |
| 0 N/A N/A 3439 C+G ...R2021a/bin/glnxa64/MATLAB 226MiB |
| 0 N/A N/A 3720 G ...1531959360FF99E4245683A9B 5MiB |
| 0 N/A N/A 4966 G ...AAAAAAAAA= --shared-files 33MiB |
+-----------------------------------------------------------------------------+
cp -r /usr/src/cudnn_samples_v8/ $HOME
cd $HOME/cudnn_samples_v8/mnistCUDNN/
make
./mnistCUDNN
You will see output Test passed or something similar.
Congrats, you have NVIDIA cuDNN library for developing deep learning applications using NVIDIA GPU.