Install OpenVINO™ Runtime on Linux from an Archive File

Installing OpenVINO Runtime from archive files is recommended for C++ developers. It will contain code samples, as well as pre-built binaries and library files needed for OpenVINO Runtime. If you work with Python, the PyPI package may be a better choice. See the Install OpenVINO from PyPI page for instructions on how to install OpenVINO Runtime for Python using PyPI.


The following development tools can be installed via only: model conversion API, Post-Training Optimization Tool, Model Downloader and other Open Model Zoo tools, Accuracy Checker, and Annotation Converter.

See the Release Notes for more information on updates in the latest release.

Full requirement listing is available in System Requirements Page

Processor graphics are not included in all processors. See Product Specifications for information about your processor.

  • GCC 9.3.0

  • GCC 7.5.0

  • GCC 8.4.1

  • GCC 8.3.1

Use the following instructions to install it:

Install GCC 8.3.1 via devtoolset-8

sudo yum update -y && sudo yum install -y centos-release-scl epel-release
sudo yum install -y devtoolset-8

Enable devtoolset-8 and check current gcc version

source /opt/rh/devtoolset-8/enable
gcc -v

Installing OpenVINO Runtime

Step 1: Download and Install the OpenVINO Core Components

  1. Open a command prompt terminal window. You can use the keyboard shortcut: Ctrl+Alt+T

  2. Create the /opt/intel folder for OpenVINO by using the following command. If the folder already exists, skip this step.

    sudo mkdir /opt/intel


    The /opt/intel path is the recommended folder path for administrators or root users. If you prefer to install OpenVINO in regular userspace, the recommended path is /home/<USER>/intel. You may use a different path if desired.

  3. Browse to the current user’s Downloads folder:

    cd <user_home>/Downloads
  4. Download the OpenVINO Runtime archive file for your system, extract the files, rename the extracted folder and move it to the desired path:

    curl -L --output openvino_2023.0.2.tgz
    tar -xf openvino_2023.0.2.tgz
    sudo mv l_openvino_toolkit_ubuntu22_2023.0.2.11065.e662b1a3301_x86_64 /opt/intel/openvino_2023.0.2
    curl -L --output openvino_2023.0.2.tgz
    tar -xf openvino_2023.0.2.tgz
    sudo mv l_openvino_toolkit_ubuntu20_2023.0.2.11065.e662b1a3301_x86_64 /opt/intel/openvino_2023.0.2
    curl -L --output openvino_2023.0.2.tgz
    tar -xf openvino_2023.0.2.tgz
    sudo mv l_openvino_toolkit_ubuntu18_2023.0.2.11065.e662b1a3301_x86_64 /opt/intel/openvino_2023.0.2
    curl -L --output openvino_2023.0.2.tgz
    tar -xf openvino_2023.0.2.tgz
    sudo mv l_openvino_toolkit_rhel8_2023.0.2.11065.e662b1a3301_x86_64 /opt/intel/openvino_2023.0.2
    curl -L --output openvino_2023.0.2.tgz
    tar -xf openvino_2023.0.2.tgz
    sudo mv l_openvino_toolkit_centos7_2023.0.2.11065.e662b1a3301_x86_64 /opt/intel/openvino_2023.0.2
    curl -L -O openvino_2023.0.2.tgz
    tar -xf openvino_2023.0.2.tgz
    sudo mv l_openvino_toolkit_debian9_2023.0.2.11065.e662b1a3301_arm64 /opt/intel/openvino_2023.0.2
    curl -L -O openvino_2023.0.2.tgz
    tar -xf openvino_2023.0.2.tgz
    sudo mv l_openvino_toolkit_debian9_2023.0.2.11065.e662b1a3301_armhf /opt/intel/openvino_2023.0.2
  5. Install required system dependencies on Linux. To do this, OpenVINO provides a script in the extracted installation directory. Run the following command:

    cd /opt/intel/openvino_2023.0.2
    sudo -E ./install_dependencies/
  6. (Optional) Install numpy Python Library:


    This step is required only when you decide to use Python API.

    You can use the requirements.txt file from the /opt/intel/openvino_2023.0.2/python/python.<x> folder:

    cd /opt/intel/openvino_2023.0.2
    python3 -m pip install -r ./python/python3.<x>/requirements.txt
  7. For simplicity, it is useful to create a symbolic link as below:

    cd /opt/intel
    sudo ln -s openvino_2023.0.2 openvino_2023


    If you have already installed a previous release of OpenVINO 2023, a symbolic link to the openvino_2023 folder may already exist. Unlink the previous link with sudo unlink openvino_2023, and then re-run the command above.

Congratulations, you have finished the installation! The /opt/intel/openvino_2023 folder now contains the core components for OpenVINO. If you used a different path in Step 2, for example, /home/<USER>/intel/, OpenVINO is now in /home/<USER>/intel/openvino_2023. The path to the openvino_2023 directory is also referred as <INSTALL_DIR> throughout the OpenVINO documentation.

Step 2: Configure the Environment

You must update several environment variables before you can compile and run OpenVINO applications. Open a terminal window and run the script as shown below to temporarily set your environment variables. If your <INSTALL_DIR> is not /opt/intel/openvino_2023, use the correct one instead.

source /opt/intel/openvino_2023/

If you have more than one OpenVINO version installed on your system, you can easily switch versions by sourcing the of your choice.


The above command must be re-run every time you start a new terminal session. To set up Linux to automatically run the command every time a new terminal is opened, open ~/.bashrc in your favorite editor and add source /opt/intel/openvino_2023/ after the last line. Next time when you open a terminal, you will see [] OpenVINO™ environment initialized. Changing .bashrc is not recommended when you have multiple OpenVINO versions on your machine and want to switch among them.

The environment variables are set. Continue to the next section if you want to download any additional components.

Step 3 (Optional): Install Additional Components

OpenVINO Development Tools is a set of utilities for working with OpenVINO and OpenVINO models. It provides tools like model conversion API, Benchmark Tool, Post-Training Optimization Tool, and Open Model Zoo Downloader. If you install OpenVINO Runtime using archive files, OpenVINO Development Tools must be installed separately.

See the Install OpenVINO Development Tools page for step-by-step installation instructions.

OpenCV is necessary to run demos from Open Model Zoo (OMZ). Some OpenVINO samples can also extend their capabilities when compiled with OpenCV as a dependency. To install OpenCV for OpenVINO, see the instructions on GitHub.

Step 4 (Optional): Configure Inference on Non-CPU Devices

OpenVINO Runtime has a plugin architecture that enables you to run inference on multiple devices without rewriting your code. Supported devices include integrated GPUs, discrete GPUs and GNAs. See the instructions below to set up OpenVINO on these devices.

To enable the toolkit components to use processor graphics (GPU) on your system, follow the steps in GPU Setup Guide.

To enable the toolkit components to use Intel® Gaussian & Neural Accelerator (GNA) on your system, follow the steps in GNA Setup Guide.

What’s Next?

Now that you’ve installed OpenVINO Runtime, you’re ready to run your own machine learning applications! Learn more about how to integrate a model in OpenVINO applications by trying out the following tutorials.

Try the Python Quick Start Example to estimate depth in a scene using an OpenVINO monodepth model in a Jupyter Notebook inside your web browser.

Visit the Tutorials page for more Jupyter Notebooks to get you started with OpenVINO, such as:

Try the C++ Quick Start Example for step-by-step instructions on building and running a basic image classification C++ application.

Visit the Samples page for other C++ example applications to get you started with OpenVINO, such as:

Uninstalling the Intel® Distribution of OpenVINO™ Toolkit

If you have installed OpenVINO Runtime from archive files, you can uninstall it by deleting the archive files and the extracted folders. Uninstallation removes all Intel® Distribution of OpenVINO™ Toolkit component files but does not affect user files in the installation directory.

If you have created the symbolic link, remove the link first:

sudo rm /opt/intel/openvino_2023

To delete the files:

rm -r <extracted_folder> && rm <path_to_archive>

Additional Resources