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Marcos Luciano d24ae06740 Update to DeepStream 6.3

2023-08-25 17:19:39 -03:00

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dGPU installation

To install the DeepStream on dGPU (x86 platform), without docker, we need to do some steps to prepare the computer.

DeepStream 6.3

1. Disable Secure Boot in BIOS

2. Install dependencies

sudo apt-get update
sudo apt-get install gcc make git libtool autoconf autogen pkg-config cmake
sudo apt-get install python3 python3-dev python3-pip
sudo apt-get install dkms
sudo apt install libssl1.1 libgstreamer1.0-0 gstreamer1.0-tools gstreamer1.0-plugins-good gstreamer1.0-plugins-bad gstreamer1.0-plugins-ugly gstreamer1.0-libav libgstreamer-plugins-base1.0-dev libgstrtspserver-1.0-0 libjansson4 libyaml-cpp-dev libjsoncpp-dev protobuf-compiler
sudo apt-get install linux-headers-$(uname -r)

NOTE: Purge all NVIDIA driver, CUDA, etc (replace $CUDA_PATH to your CUDA path)

sudo nvidia-uninstall
sudo $CUDA_PATH/bin/cuda-uninstaller
sudo apt-get remove --purge '*nvidia*'
sudo apt-get remove --purge '*cuda*'
sudo apt-get remove --purge '*cudnn*'
sudo apt-get remove --purge '*tensorrt*'
sudo apt autoremove --purge && sudo apt autoclean && sudo apt clean

3. Install CUDA Keyring

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-keyring_1.0-1_all.deb
sudo dpkg -i cuda-keyring_1.0-1_all.deb
sudo apt-get update

4. Download and install NVIDIA Driver

TITAN, GeForce RTX / GTX series and RTX / Quadro series

Download

wget https://us.download.nvidia.com/XFree86/Linux-x86_64/530.41.03/NVIDIA-Linux-x86_64-530.41.03.run

Laptop

Run

sudo sh NVIDIA-Linux-x86_64-530.41.03.run --no-cc-version-check --silent --disable-nouveau --dkms --install-libglvnd

NOTE: This step will disable the nouveau drivers.

Reboot
```
sudo reboot
```

Install

sudo sh NVIDIA-Linux-x86_64-530.41.03.run --no-cc-version-check --silent --disable-nouveau --dkms --install-libglvnd

NOTE: If you are using a laptop with NVIDIA Optimius, run

sudo apt-get install nvidia-prime
sudo prime-select nvidia

Desktop

Run

sudo sh NVIDIA-Linux-x86_64-530.41.03.run --no-cc-version-check --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig

NOTE: This step will disable the nouveau drivers.

Reboot
```
sudo reboot
```

Install

sudo sh NVIDIA-Linux-x86_64-530.41.03.run --no-cc-version-check --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig

Data center / Tesla series

Download

wget https://us.download.nvidia.com/tesla/525.125.06/NVIDIA-Linux-x86_64-525.125.06.run

Run

sudo sh NVIDIA-Linux-x86_64-525.125.06.run --no-cc-version-check --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig

5. Download and install CUDA

wget https://developer.download.nvidia.com/compute/cuda/12.1.1/local_installers/cuda_12.1.1_530.30.02_linux.run
sudo sh cuda_12.1.1_530.30.02_linux.run --silent --toolkit

Export environment variables

echo $'export PATH=/usr/local/cuda-12.1/bin${PATH:+:${PATH}}\nexport LD_LIBRARY_PATH=/usr/local/cuda-12.1/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}' >> ~/.bashrc && source ~/.bashrc

6. Install TensorRT

sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/3bf863cc.pub
sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/ /"
sudo apt-get update
sudo apt-get install libnvinfer8=8.5.3-1+cuda11.8 libnvinfer-plugin8=8.5.3-1+cuda11.8 libnvparsers8=8.5.3-1+cuda11.8 libnvonnxparsers8=8.5.3-1+cuda11.8 libnvinfer-bin=8.5.3-1+cuda11.8 libnvinfer-dev=8.5.3-1+cuda11.8 libnvinfer-plugin-dev=8.5.3-1+cuda11.8 libnvparsers-dev=8.5.3-1+cuda11.8 libnvonnxparsers-dev=8.5.3-1+cuda11.8 libnvinfer-samples=8.5.3-1+cuda11.8 libcudnn8=8.7.0.84-1+cuda11.8 libcudnn8-dev=8.7.0.84-1+cuda11.8 python3-libnvinfer=8.5.3-1+cuda11.8 python3-libnvinfer-dev=8.5.3-1+cuda11.8
sudo apt-mark hold libnvinfer* libnvparsers* libnvonnxparsers* libcudnn8* python3-libnvinfer* tensorrt

7. Download and install the DeepStream SDK

DeepStream 6.3 for Servers and Workstations

wget --content-disposition 'https://api.ngc.nvidia.com/v2/resources/org/nvidia/deepstream/6.3/files?redirect=true&path=deepstream-6.3_6.3.0-1_amd64.deb' -O deepstream-6.3_6.3.0-1_amd64.deb
sudo apt-get install ./deepstream-6.3_6.3.0-1_amd64.deb
rm ${HOME}/.cache/gstreamer-1.0/registry.x86_64.bin
sudo ln -snf /usr/local/cuda-12.1 /usr/local/cuda

8. Reboot the computer

sudo reboot

DeepStream 6.2

1. Disable Secure Boot in BIOS

2. Install dependencies

sudo apt-get update
sudo apt-get install gcc make git libtool autoconf autogen pkg-config cmake
sudo apt-get install python3 python3-dev python3-pip
sudo apt-get install dkms
sudo apt install libssl1.1 libgstreamer1.0-0 gstreamer1.0-tools gstreamer1.0-plugins-good gstreamer1.0-plugins-bad gstreamer1.0-plugins-ugly gstreamer1.0-libav libgstreamer-plugins-base1.0-dev libgstrtspserver-1.0-0 libjansson4 libyaml-cpp-dev libjsoncpp-dev protobuf-compiler
sudo apt-get install linux-headers-$(uname -r)

NOTE: Purge all NVIDIA driver, CUDA, etc (replace $CUDA_PATH to your CUDA path)

sudo nvidia-uninstall
sudo $CUDA_PATH/bin/cuda-uninstaller
sudo apt-get remove --purge '*nvidia*'
sudo apt-get remove --purge '*cuda*'
sudo apt-get remove --purge '*cudnn*'
sudo apt-get remove --purge '*tensorrt*'
sudo apt autoremove --purge && sudo apt autoclean && sudo apt clean

3. Install CUDA Keyring

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-keyring_1.0-1_all.deb
sudo dpkg -i cuda-keyring_1.0-1_all.deb
sudo apt-get update

4. Download and install NVIDIA Driver

TITAN, GeForce RTX / GTX series and RTX / Quadro series

Download

wget https://us.download.nvidia.com/XFree86/Linux-x86_64/525.105.17/NVIDIA-Linux-x86_64-525.105.17.run

Laptop

Run

sudo sh NVIDIA-Linux-x86_64-525.105.17.run --no-cc-version-check --silent --disable-nouveau --dkms --install-libglvnd

NOTE: This step will disable the nouveau drivers.

Reboot
```
sudo reboot
```

Install

sudo sh NVIDIA-Linux-x86_64-525.105.17.run --no-cc-version-check --silent --disable-nouveau --dkms --install-libglvnd

NOTE: If you are using a laptop with NVIDIA Optimius, run

sudo apt-get install nvidia-prime
sudo prime-select nvidia

Desktop

Run

sudo sh NVIDIA-Linux-x86_64-525.105.17.run --no-cc-version-check --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig

NOTE: This step will disable the nouveau drivers.

Reboot
```
sudo reboot
```

Install

sudo sh NVIDIA-Linux-x86_64-525.105.17.run --no-cc-version-check --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig

Data center / Tesla series

Download

wget https://us.download.nvidia.com/tesla/525.85.12/NVIDIA-Linux-x86_64-525.85.12.run

Run

sudo sh NVIDIA-Linux-x86_64-525.85.12.run --no-cc-version-check --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig

5. Download and install CUDA

wget https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run
sudo sh cuda_11.8.0_520.61.05_linux.run --silent --toolkit

Export environment variables

echo $'export PATH=/usr/local/cuda-11.8/bin${PATH:+:${PATH}}\nexport LD_LIBRARY_PATH=/usr/local/cuda-11.8/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}' >> ~/.bashrc && source ~/.bashrc

6. Install TensorRT

sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/3bf863cc.pub
sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/ /"
sudo apt-get update
sudo apt-get install libnvinfer8=8.5.2-1+cuda11.8 libnvinfer-plugin8=8.5.2-1+cuda11.8 libnvparsers8=8.5.2-1+cuda11.8 libnvonnxparsers8=8.5.2-1+cuda11.8 libnvinfer-bin=8.5.2-1+cuda11.8 libnvinfer-dev=8.5.2-1+cuda11.8 libnvinfer-plugin-dev=8.5.2-1+cuda11.8 libnvparsers-dev=8.5.2-1+cuda11.8 libnvonnxparsers-dev=8.5.2-1+cuda11.8 libnvinfer-samples=8.5.2-1+cuda11.8 libcudnn8=8.7.0.84-1+cuda11.8 libcudnn8-dev=8.7.0.84-1+cuda11.8 python3-libnvinfer=8.5.2-1+cuda11.8 python3-libnvinfer-dev=8.5.2-1+cuda11.8
sudo apt-mark hold libnvinfer* libnvparsers* libnvonnxparsers* libcudnn8* python3-libnvinfer* tensorrt

7. Download from NVIDIA website and install the DeepStream SDK

DeepStream 6.2 for Servers and Workstations (.deb)

sudo apt-get install ./deepstream-6.2_6.2.0-1_amd64.deb
rm ${HOME}/.cache/gstreamer-1.0/registry.x86_64.bin
sudo ln -snf /usr/local/cuda-11.8 /usr/local/cuda

8. Reboot the computer

sudo reboot

DeepStream 6.1.1

1. Disable Secure Boot in BIOS

2. Install dependencies

sudo apt-get update
sudo apt-get install gcc make git libtool autoconf autogen pkg-config cmake
sudo apt-get install python3 python3-dev python3-pip
sudo apt-get install dkms
sudo apt-get install libssl1.1 libgstreamer1.0-0 gstreamer1.0-tools gstreamer1.0-plugins-good gstreamer1.0-plugins-bad gstreamer1.0-plugins-ugly gstreamer1.0-libav libgstreamer-plugins-base1.0-dev libgstrtspserver-1.0-0 libjansson4 libyaml-cpp-dev
sudo apt-get install linux-headers-$(uname -r)

NOTE: Purge all NVIDIA driver, CUDA, etc (replace $CUDA_PATH to your CUDA path)

sudo nvidia-uninstall
sudo $CUDA_PATH/bin/cuda-uninstaller
sudo apt-get remove --purge '*nvidia*'
sudo apt-get remove --purge '*cuda*'
sudo apt-get remove --purge '*cudnn*'
sudo apt-get remove --purge '*tensorrt*'
sudo apt autoremove --purge && sudo apt autoclean && sudo apt clean

3. Install CUDA Keyring

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-keyring_1.0-1_all.deb
sudo dpkg -i cuda-keyring_1.0-1_all.deb
sudo apt-get update

4. Download and install NVIDIA Driver

TITAN, GeForce RTX / GTX series and RTX / Quadro series

Download

wget https://us.download.nvidia.com/XFree86/Linux-x86_64/515.65.01/NVIDIA-Linux-x86_64-515.65.01.run

Laptop
Run
sudo sh NVIDIA-Linux-x86_64-515.65.01.run --silent --disable-nouveau --dkms --install-libglvnd
NOTE: This step will disable the nouveau drivers.
Reboot
sudo reboot
Install
sudo sh NVIDIA-Linux-x86_64-515.65.01.run --silent --disable-nouveau --dkms --install-libglvnd
NOTE: If you are using a laptop with NVIDIA Optimius, run
sudo apt-get install nvidia-prime
sudo prime-select nvidia

Desktop

Run

sudo sh NVIDIA-Linux-x86_64-515.65.01.run --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig

NOTE: This step will disable the nouveau drivers.

Reboot
```
sudo reboot
```

Install

sudo sh NVIDIA-Linux-x86_64-515.65.01.run --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig

Data center / Tesla series

Download

wget https://us.download.nvidia.com/tesla/515.65.01/NVIDIA-Linux-x86_64-515.65.01.run

Run

sudo sh NVIDIA-Linux-x86_64-515.65.01.run --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig

5. Download and install CUDA

wget https://developer.download.nvidia.com/compute/cuda/11.7.1/local_installers/cuda_11.7.1_515.65.01_linux.run
sudo sh cuda_11.7.1_515.65.01_linux.run --silent --toolkit

Export environment variables

echo $'export PATH=/usr/local/cuda-11.7/bin${PATH:+:${PATH}}\nexport LD_LIBRARY_PATH=/usr/local/cuda-11.7/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}' >> ~/.bashrc && source ~/.bashrc

6. Download from NVIDIA website and install the TensorRT

TensorRT 8.4 GA for Ubuntu 20.04 and CUDA 11.0, 11.1, 11.2, 11.3, 11.4, 11.5, 11.6 and 11.7 DEB local repo Package

sudo dpkg -i nv-tensorrt-repo-ubuntu2004-cuda11.6-trt8.4.1.5-ga-20220604_1-1_amd64.deb 
sudo apt-key add /var/nv-tensorrt-repo-ubuntu2004-cuda11.6-trt8.4.1.5-ga-20220604/9a60d8bf.pub
sudo apt-get update
sudo apt-get install libnvinfer8=8.4.1-1+cuda11.6 libnvinfer-plugin8=8.4.1-1+cuda11.6 libnvparsers8=8.4.1-1+cuda11.6 libnvonnxparsers8=8.4.1-1+cuda11.6 libnvinfer-bin=8.4.1-1+cuda11.6 libnvinfer-dev=8.4.1-1+cuda11.6 libnvinfer-plugin-dev=8.4.1-1+cuda11.6 libnvparsers-dev=8.4.1-1+cuda11.6 libnvonnxparsers-dev=8.4.1-1+cuda11.6 libnvinfer-samples=8.4.1-1+cuda11.6 libcudnn8=8.4.1.50-1+cuda11.6 libcudnn8-dev=8.4.1.50-1+cuda11.6 python3-libnvinfer=8.4.1-1+cuda11.6 python3-libnvinfer-dev=8.4.1-1+cuda11.6
sudo apt-mark hold libnvinfer* libnvparsers* libnvonnxparsers* libcudnn8* tensorrt

7. Download from NVIDIA website and install the DeepStream SDK

DeepStream 6.1.1 for Servers and Workstations (.deb)

sudo apt-get install ./deepstream-6.1_6.1.1-1_amd64.deb
rm ${HOME}/.cache/gstreamer-1.0/registry.x86_64.bin
sudo ln -snf /usr/local/cuda-11.7 /usr/local/cuda

8. Reboot the computer

sudo reboot

DeepStream 6.1

1. Disable Secure Boot in BIOS

2. Install dependencies

sudo apt-get update
sudo apt-get install gcc make git libtool autoconf autogen pkg-config cmake
sudo apt-get install python3 python3-dev python3-pip
sudo apt-get install dkms
sudo apt-get install libssl1.1 libgstreamer1.0-0 gstreamer1.0-tools gstreamer1.0-plugins-good gstreamer1.0-plugins-bad gstreamer1.0-plugins-ugly gstreamer1.0-libav libgstrtspserver-1.0-0 libjansson4 libyaml-cpp-dev
sudo apt-get install linux-headers-$(uname -r)

NOTE: Purge all NVIDIA driver, CUDA, etc (replace $CUDA_PATH to your CUDA path)

sudo nvidia-uninstall
sudo $CUDA_PATH/bin/cuda-uninstaller
sudo apt-get remove --purge '*nvidia*'
sudo apt-get remove --purge '*cuda*'
sudo apt-get remove --purge '*cudnn*'
sudo apt-get remove --purge '*tensorrt*'
sudo apt autoremove --purge && sudo apt autoclean && sudo apt clean

3. Install CUDA Keyring

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-keyring_1.0-1_all.deb
sudo dpkg -i cuda-keyring_1.0-1_all.deb
sudo apt-get update

4. Download and install NVIDIA Driver

TITAN, GeForce RTX / GTX series and RTX / Quadro series

Download

wget https://us.download.nvidia.com/XFree86/Linux-x86_64/510.47.03/NVIDIA-Linux-x86_64-510.47.03.run

Laptop
Run
sudo sh NVIDIA-Linux-x86_64-510.47.03.run --silent --disable-nouveau --dkms --install-libglvnd
NOTE: This step will disable the nouveau drivers.
Reboot
sudo reboot
Install
sudo sh NVIDIA-Linux-x86_64-510.47.03.run --silent --disable-nouveau --dkms --install-libglvnd
NOTE: If you are using a laptop with NVIDIA Optimius, run
sudo apt-get install nvidia-prime
sudo prime-select nvidia

Desktop

Run

sudo sh NVIDIA-Linux-x86_64-510.47.03.run --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig

NOTE: This step will disable the nouveau drivers.

Reboot
```
sudo reboot
```

Install

sudo sh NVIDIA-Linux-x86_64-510.47.03.run --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig

Data center / Tesla series

Download

wget https://us.download.nvidia.com/tesla/510.47.03/NVIDIA-Linux-x86_64-510.47.03.run

Run

sudo sh NVIDIA-Linux-x86_64-510.47.03.run --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig

5. Download and install CUDA

wget https://developer.download.nvidia.com/compute/cuda/11.6.1/local_installers/cuda_11.6.1_510.47.03_linux.run
sudo sh cuda_11.6.1_510.47.03_linux.run --silent --toolkit

Export environment variables

echo $'export PATH=/usr/local/cuda-11.6/bin${PATH:+:${PATH}}\nexport LD_LIBRARY_PATH=/usr/local/cuda-11.6/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}' >> ~/.bashrc && source ~/.bashrc

6. Download from NVIDIA website and install the TensorRT

TensorRT 8.2 GA Update 4 for Ubuntu 20.04 and CUDA 11.0, 11.1, 11.2, 11.3, 11.4 and 11.5 DEB local repo Package

sudo dpkg -i nv-tensorrt-repo-ubuntu2004-cuda11.4-trt8.2.5.1-ga-20220505_1-1_amd64.deb
sudo apt-key add /var/nv-tensorrt-repo-ubuntu2004-cuda11.4-trt8.2.5.1-ga-20220505/82307095.pub
sudo apt-get update
sudo apt-get install libnvinfer8=8.2.5-1+cuda11.4 libnvinfer-plugin8=8.2.5-1+cuda11.4 libnvparsers8=8.2.5-1+cuda11.4 libnvonnxparsers8=8.2.5-1+cuda11.4 libnvinfer-bin=8.2.5-1+cuda11.4 libnvinfer-dev=8.2.5-1+cuda11.4 libnvinfer-plugin-dev=8.2.5-1+cuda11.4 libnvparsers-dev=8.2.5-1+cuda11.4 libnvonnxparsers-dev=8.2.5-1+cuda11.4 libnvinfer-samples=8.2.5-1+cuda11.4 libnvinfer-doc=8.2.5-1+cuda11.4 libcudnn8-dev=8.4.0.27-1+cuda11.6 libcudnn8=8.4.0.27-1+cuda11.6
sudo apt-mark hold libnvinfer* libnvparsers* libnvonnxparsers* libcudnn8* tensorrt

7. Download from NVIDIA website and install the DeepStream SDK

DeepStream 6.1 for Servers and Workstations (.deb)

sudo apt-get install ./deepstream-6.1_6.1.0-1_amd64.deb
rm ${HOME}/.cache/gstreamer-1.0/registry.x86_64.bin
sudo ln -snf /usr/local/cuda-11.6 /usr/local/cuda

8. Reboot the computer

sudo reboot

DeepStream 6.0.1 / 6.0

1. Disable Secure Boot in BIOS

If you are using a laptop with newer Intel/AMD processors and your Graphics in Settings->Details->About tab is llvmpipe, please update the kernel.

wget https://kernel.ubuntu.com/~kernel-ppa/mainline/v5.11/amd64/linux-headers-5.11.0-051100_5.11.0-051100.202102142330_all.deb
wget https://kernel.ubuntu.com/~kernel-ppa/mainline/v5.11/amd64/linux-headers-5.11.0-051100-generic_5.11.0-051100.202102142330_amd64.deb
wget https://kernel.ubuntu.com/~kernel-ppa/mainline/v5.11/amd64/linux-image-unsigned-5.11.0-051100-generic_5.11.0-051100.202102142330_amd64.deb
wget https://kernel.ubuntu.com/~kernel-ppa/mainline/v5.11/amd64/linux-modules-5.11.0-051100-generic_5.11.0-051100.202102142330_amd64.deb
sudo dpkg -i  *.deb
sudo reboot

2. Install dependencies

sudo apt-get update
sudo apt-get install gcc make git libtool autoconf autogen pkg-config cmake
sudo apt-get install python3 python3-dev python3-pip
sudo apt-get install libssl1.0.0 libgstreamer1.0-0 gstreamer1.0-tools gstreamer1.0-plugins-good gstreamer1.0-plugins-bad gstreamer1.0-plugins-ugly gstreamer1.0-libav libgstrtspserver-1.0-0 libjansson4
sudo apt-get install linux-headers-$(uname -r)

NOTE: Install DKMS only if you are using the default Ubuntu kernel

sudo apt-get install dkms

NOTE: Purge all NVIDIA driver, CUDA, etc (replace $CUDA_PATH to your CUDA path)

sudo nvidia-uninstall
sudo $CUDA_PATH/bin/cuda-uninstaller
sudo apt-get remove --purge '*nvidia*'
sudo apt-get remove --purge '*cuda*'
sudo apt-get remove --purge '*cudnn*'
sudo apt-get remove --purge '*tensorrt*'
sudo apt autoremove --purge && sudo apt autoclean && sudo apt clean

3. Install CUDA Keyring

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-keyring_1.0-1_all.deb
sudo dpkg -i cuda-keyring_1.0-1_all.deb
sudo apt-get update

4. Download and install NVIDIA Driver

TITAN, GeForce RTX / GTX series and RTX / Quadro series

Download
wget https://us.download.nvidia.com/XFree86/Linux-x86_64/470.129.06/NVIDIA-Linux-x86_64-470.129.06.run
Laptop
Run
sudo sh NVIDIA-Linux-x86_64-470.129.06.run --silent --disable-nouveau --dkms --install-libglvnd
NOTE: This step will disable the nouveau drivers.

NOTE: Remove --dkms flag if you installed the 5.11.0 kernel.
Reboot
sudo reboot
Install
sudo sh NVIDIA-Linux-x86_64-470.129.06.run --silent --disable-nouveau --dkms --install-libglvnd
NOTE: Remove --dkms flag if you installed the 5.11.0 kernel.
NOTE: If you are using a laptop with NVIDIA Optimius, run
sudo apt-get install nvidia-prime
sudo prime-select nvidia
Desktop
Run
sudo sh NVIDIA-Linux-x86_64-470.129.06.run --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig
NOTE: This step will disable the nouveau drivers.

NOTE: Remove --dkms flag if you installed the 5.11.0 kernel.
Reboot
sudo reboot
Install
sudo sh NVIDIA-Linux-x86_64-470.129.06.run --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig
NOTE: Remove --dkms flag if you installed the 5.11.0 kernel.

Data center / Tesla series

Download

wget https://us.download.nvidia.com/tesla/470.129.06/NVIDIA-Linux-x86_64-470.129.06.run

Run

sudo sh NVIDIA-Linux-x86_64-470.129.06.run --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig

NOTE: Remove --dkms flag if you installed the 5.11.0 kernel.

5. Download and install CUDA

wget https://developer.download.nvidia.com/compute/cuda/11.4.1/local_installers/cuda_11.4.1_470.57.02_linux.run
sudo sh cuda_11.4.1_470.57.02_linux.run --silent --toolkit

Export environment variables

echo $'export PATH=/usr/local/cuda-11.4/bin${PATH:+:${PATH}}\nexport LD_LIBRARY_PATH=/usr/local/cuda-11.4/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}' >> ~/.bashrc && source ~/.bashrc

6. Download from NVIDIA website and install the TensorRT

TensorRT 8.0.1 GA for Ubuntu 18.04 and CUDA 11.3 DEB local repo package

sudo dpkg -i nv-tensorrt-repo-ubuntu1804-cuda11.3-trt8.0.1.6-ga-20210626_1-1_amd64.deb
sudo apt-key add /var/nv-tensorrt-repo-ubuntu1804-cuda11.3-trt8.0.1.6-ga-20210626/7fa2af80.pub
sudo apt-get update
sudo apt-get install libnvinfer8=8.0.1-1+cuda11.3 libnvinfer-plugin8=8.0.1-1+cuda11.3 libnvparsers8=8.0.1-1+cuda11.3 libnvonnxparsers8=8.0.1-1+cuda11.3 libnvinfer-bin=8.0.1-1+cuda11.3 libnvinfer-dev=8.0.1-1+cuda11.3 libnvinfer-plugin-dev=8.0.1-1+cuda11.3 libnvparsers-dev=8.0.1-1+cuda11.3 libnvonnxparsers-dev=8.0.1-1+cuda11.3 libnvinfer-samples=8.0.1-1+cuda11.3 libnvinfer-doc=8.0.1-1+cuda11.3 libcudnn8-dev=8.2.1.32-1+cuda11.3 libcudnn8=8.2.1.32-1+cuda11.3
sudo apt-mark hold libnvinfer* libnvparsers* libnvonnxparsers* libcudnn8* tensorrt

7. Download from NVIDIA website and install the DeepStream SDK

DeepStream 6.0.1 for Servers and Workstations (.deb)

sudo apt-get install ./deepstream-6.0_6.0.1-1_amd64.deb

DeepStream 6.0 for Servers and Workstations (.deb)

sudo apt-get install ./deepstream-6.0_6.0.0-1_amd64.deb

Run

rm ${HOME}/.cache/gstreamer-1.0/registry.x86_64.bin
sudo ln -snf /usr/local/cuda-11.4 /usr/local/cuda

8. Reboot the computer

sudo reboot

24 KiB Raw Blame History

dGPU installation

1. Disable Secure Boot in BIOS

2. Install dependencies

3. Install CUDA Keyring

4. Download and install NVIDIA Driver

5. Download and install CUDA

6. Install TensorRT

7. Download and install the DeepStream SDK

8. Reboot the computer

1. Disable Secure Boot in BIOS

2. Install dependencies

3. Install CUDA Keyring

4. Download and install NVIDIA Driver

5. Download and install CUDA

6. Install TensorRT

7. Download from NVIDIA website and install the DeepStream SDK

8. Reboot the computer

1. Disable Secure Boot in BIOS

2. Install dependencies

3. Install CUDA Keyring

4. Download and install NVIDIA Driver

5. Download and install CUDA

6. Download from NVIDIA website and install the TensorRT

7. Download from NVIDIA website and install the DeepStream SDK

8. Reboot the computer

1. Disable Secure Boot in BIOS

2. Install dependencies

3. Install CUDA Keyring

4. Download and install NVIDIA Driver

5. Download and install CUDA

6. Download from NVIDIA website and install the TensorRT

7. Download from NVIDIA website and install the DeepStream SDK

8. Reboot the computer

1. Disable Secure Boot in BIOS

2. Install dependencies

3. Install CUDA Keyring

4. Download and install NVIDIA Driver

5. Download and install CUDA

6. Download from NVIDIA website and install the TensorRT

7. Download from NVIDIA website and install the DeepStream SDK

8. Reboot the computer

24 KiB

Raw Blame History