# dGPU installation

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

<details><summary>DeepStream 6.3</summary>

### 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

<details><summary>TITAN, GeForce RTX / GTX series and RTX / Quadro series</summary><blockquote>

- Download

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

<blockquote><details><summary>Laptop</summary>

* 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
```

</details></blockquote>

<blockquote><details><summary>Desktop</summary>

* 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
  ```

</details></blockquote>

</blockquote></details>

<details><summary>Data center / Tesla series</summary><blockquote>

  - 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
    ```

</blockquote></details>

### 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
```

</details>

<details><summary>DeepStream 6.2</summary>

### 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

<details><summary>TITAN, GeForce RTX / GTX series and RTX / Quadro series</summary><blockquote>

- Download

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

<blockquote><details><summary>Laptop</summary>

* 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
```

</details></blockquote>

<blockquote><details><summary>Desktop</summary>

* 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
  ```

</details></blockquote>

</blockquote></details>

<details><summary>Data center / Tesla series</summary><blockquote>

  - 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
    ```

</blockquote></details>

### 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](https://developer.nvidia.com/deepstream-getting-started) 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
```

</details>

<details><summary>DeepStream 6.1.1</summary>

### 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

<details><summary>TITAN, GeForce RTX / GTX series and RTX / Quadro series</summary><blockquote>

- Download

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

<blockquote><details><summary>Laptop</summary>

* 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
```

</details></blockquote>

<blockquote><details><summary>Desktop</summary>

* 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
  ```

</details></blockquote>

</blockquote></details>

<details><summary>Data center / Tesla series</summary><blockquote>

  - 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
    ```

</blockquote></details>

### 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](https://developer.nvidia.com/nvidia-tensorrt-8x-download) 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](https://developer.nvidia.com/deepstream-getting-started) 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
```

</details>

<details><summary>DeepStream 6.1</summary>

### 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

<details><summary>TITAN, GeForce RTX / GTX series and RTX / Quadro series</summary><blockquote>

- Download

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

<blockquote><details><summary>Laptop</summary>

* 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
```

</details></blockquote>

<blockquote><details><summary>Desktop</summary>

* 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
  ```

</details></blockquote>

</blockquote></details>

<details><summary>Data center / Tesla series</summary><blockquote>

  - 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
    ```

</blockquote></details>

### 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](https://developer.nvidia.com/nvidia-tensorrt-8x-download) 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](https://developer.nvidia.com/deepstream-sdk-download-tesla-archived) 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
```

</details>

<details><summary>DeepStream 6.0.1 / 6.0</summary>

### 1. Disable Secure Boot in BIOS

<details><summary>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.</summary>

```
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
```

</details>

### 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

<details><summary>TITAN, GeForce RTX / GTX series and RTX / Quadro series</summary><blockquote>

- Download

  ```
  wget https://us.download.nvidia.com/XFree86/Linux-x86_64/470.129.06/NVIDIA-Linux-x86_64-470.129.06.run
  ```

<blockquote><details><summary>Laptop</summary>

* 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
```

</details></blockquote>

<blockquote><details><summary>Desktop</summary>

* 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.

</details></blockquote>

</blockquote></details>

<details><summary>Data center / Tesla series</summary><blockquote>

  - 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.

</blockquote></details>

### 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](https://developer.nvidia.com/nvidia-tensorrt-8x-download) 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](https://developer.nvidia.com/deepstream-sdk-download-tesla-archived) 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
```

</details>