docs/articles_en/get-started/install-openvino/install-openvino-archive-linux.rst
.. meta:: :description: Learn how to install OpenVINO™ Runtime on the Linux operating system, using an archive file.
.. note::
Note that the Archive distribution:
.. dropdown:: Inference Options
=================== ===== ===== =====
Operating System CPU GPU NPU
=================== ===== ===== =====
Debian9 armhf V n/a n/a
Ubuntu20 arm64 V n/a n/a
CentOS7 x86_64 V V n/a
Ubuntu20 x86_64 V V V
Ubuntu22 x86_64 V V V
RHEL8 x86_64 V V n/a
=================== ===== ===== =====
Before installing OpenVINO, see the
:doc:System Requirements page <../../../about-openvino/release-notes-openvino/system-requirements>.
Installing OpenVINO Runtime ############################################################
Step 1: Download and Install the OpenVINO Core Components ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Open a command prompt terminal window. You can use the keyboard shortcut: Ctrl+Alt+T
Create the /opt/intel folder for OpenVINO by using the following command.
If the folder already exists, skip this step.
.. code-block:: sh
sudo mkdir /opt/intel
.. note::
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.
Browse to the current user's Downloads folder:
.. code-block:: sh
cd <user_home>/Downloads
Download the OpenVINO Runtime archive file for your system <https://storage.openvinotoolkit.org/repositories/openvino/packages/2026.1/linux/>_,
extract the files, rename the extracted folder and move it to the desired path:
.. tab-set::
.. tab-item:: x86_64 :sync: x86-64
.. tab-set::
.. tab-item:: Ubuntu 24.04
:sync: ubuntu-24
.. code-block:: sh
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2026.1/linux/openvino_toolkit_ubuntu24_2026.1.0.21367.63e31528c62_x86_64.tgz --output openvino_2026.1.0.tgz
tar -xf openvino_2026.1.0.tgz
sudo mv openvino_toolkit_ubuntu24_2026.1.0.21367.63e31528c62_x86_64 /opt/intel/openvino_2026.1.0
.. tab-item:: Ubuntu 22.04
:sync: ubuntu-22
.. code-block:: sh
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2026.1/linux/openvino_toolkit_ubuntu22_2026.1.0.21367.63e31528c62_x86_64.tgz --output openvino_2026.1.0.tgz
tar -xf openvino_2026.1.0.tgz
sudo mv openvino_toolkit_ubuntu22_2026.1.0.21367.63e31528c62_x86_64 /opt/intel/openvino_2026.1.0
.. tab-item:: RHEL 8
:sync: rhel-8
.. code-block:: sh
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2026.1/linux/openvino_toolkit_rhel8_2026.1.0.21367.63e31528c62_x86_64.tgz --output openvino_2026.1.0.tgz
tar -xf openvino_2026.1.0.tgz
sudo mv openvino_toolkit_rhel8_2026.1.0.21367.63e31528c62_x86_64 /opt/intel/openvino_2026.1.0
.. tab-item:: CentOS 8
:sync: centos-8
.. code-block:: sh
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2026.1/linux/openvino_toolkit_centos8_2026.1.0.21367.63e31528c62_x86_64.tgz --output openvino_2026.1.0.tgz
tar -xf openvino_2026.1.0.tgz
sudo mv openvino_toolkit_centos8_2026.1.0.21367.63e31528c62_x86_64 /opt/intel/openvino_2026.1.0
.. tab-item:: ARM 64-bit :sync: arm-64
.. code-block:: sh
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2026.1/linux/openvino_toolkit_ubuntu22_2026.1.0.21367.63e31528c62_arm64.tgz --output openvino_2026.1.0.tgz
tar -xf openvino_2026.1.0.tgz
sudo mv openvino_toolkit_ubuntu22_2026.1.0.21367.63e31528c62_arm64 /opt/intel/openvino_2026.1.0
.. tab-item:: ARM 32-bit :sync: arm-32
.. code-block:: sh
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2026.1/linux/openvino_toolkit_debian10_2026.1.0.21367.63e31528c62_armhf.tgz --output openvino_2026.1.0.tgz
tar -xf openvino_2026.1.0.tgz
sudo mv openvino_toolkit_debian10_2026.1.0.21367.63e31528c62_armhf /opt/intel/openvino_2026.1.0
Install required system dependencies on Linux. To do this, OpenVINO provides a script in the extracted installation directory. Run the following command:
.. code-block:: sh
cd /opt/intel/openvino_2026.1.0 sudo -E ./install_dependencies/install_openvino_dependencies.sh
(Optional) Install numpy Python Library:
.. note::
This step is required only when you decide to use Python API.
You can use the requirements.txt file from the /opt/intel/openvino_2026.1.0/python folder:
.. code-block:: sh
cd /opt/intel/openvino_2026.1.0 python3 -m pip install -r ./python/requirements.txt
For simplicity, it is useful to create a symbolic link as below:
.. code-block:: sh
cd /opt/intel
sudo ln -s openvino_2026.1.0 openvino_2026
.. note::
If you have already installed a previous release of OpenVINO 2026, a symbolic link to the openvino_2026 folder may already exist.
Unlink the previous link with sudo unlink openvino_2026, and then re-run the command above.
Congratulations, you have finished the installation! For some use cases you may still
need to install additional components. Check the description below, as well as the
:doc:list of additional configurations <./configurations>
to see if your case needs any of them.
The /opt/intel/openvino_2026 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_2026. The path to the openvino_2026
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 setupvars.sh script as shown below to temporarily set your environment variables.
If your <INSTALL_DIR> is not /opt/intel/openvino_2026, use the correct one instead.
.. code-block:: sh
source /opt/intel/openvino_2026/setupvars.sh
If you have more than one OpenVINO version installed on your system, you can easily switch versions by sourcing the setupvars.sh of your choice.
.. note::
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_2026/setupvars.sh after the last line.
Next time when you open a terminal, you will see [setupvars.sh] 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.
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.
.. tab-set::
.. tab-item:: Get started with Python :sync: get-started-py
Try the `Python Quick Start Example <https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/vision-monodepth>`__
to estimate depth in a scene using an OpenVINO monodepth model in a Jupyter Notebook inside your web browser.
.. image:: https://user-images.githubusercontent.com/15709723/127752390-f6aa371f-31b5-4846-84b9-18dd4f662406.gif
:width: 400
Visit the :doc:`Tutorials <../../../get-started/learn-openvino/interactive-tutorials-python>` page for more Jupyter Notebooks to get you started with OpenVINO, such as:
* `OpenVINO Python API Tutorial <https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/openvino-api>`__
* `Basic image classification program with Hello Image Classification <https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/hello-world>`__
* `Convert a PyTorch model and use it for image background removal <https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/vision-background-removal>`__
.. tab-item:: Get started with C++ :sync: get-started-cpp
Try the :doc:`C++ Quick Start Example <../../../get-started/learn-openvino/openvino-samples/get-started-demos>` for step-by-step instructions
on building and running a basic image classification C++ application.
.. image:: https://user-images.githubusercontent.com/36741649/127170593-86976dc3-e5e4-40be-b0a6-206379cd7df5.jpg
:width: 400
Visit the :doc:`Samples <../../../get-started/learn-openvino/openvino-samples>` page for other C++ example applications to get you started with OpenVINO, such as:
* :doc:`Basic object detection with the Hello Reshape SSD C++ sample <../../../get-started/learn-openvino/openvino-samples/hello-reshape-ssd>`
* :doc:`Object classification sample <../../../get-started/learn-openvino/openvino-samples/hello-classification>`
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:
.. code-block:: sh
sudo rm /opt/intel/openvino_2026
To delete the files:
.. code-block:: sh
rm -r <extracted_folder> && rm <path_to_archive>
Additional Resources ###########################################################
Troubleshooting Guide for OpenVINO Installation & Configuration <./configurations/troubleshooting-install-config>Convert a Model <../../../openvino-workflow/model-preparation>OpenVINO™ Runtime User Guide <../../../openvino-workflow/running-inference>OpenVINO™ Toolkit Samples Overview <../../../get-started/learn-openvino/openvino-samples>Hugging Face <https://huggingface.co/OpenVINO>__.