docs/articles_en/get-started/install-openvino/install-openvino-yum.rst
.. meta:: :description: Learn how to install OpenVINO™ Runtime on Linux operating system, using the YUM repository.
.. note::
Note that the YUM distribution:
Before installing OpenVINO, see the
:doc:System Requirements page <../../../about-openvino/release-notes-openvino/system-requirements>.
Install OpenVINO Runtime ########################
Step 1: Set Up the Repository +++++++++++++++++++++++++++++
Create a YUM repository file (openvino.repo) in the /tmp directory as a normal user:
.. code-block:: sh
tee > /tmp/openvino.repo << EOF [OpenVINO] name=Intel(R) Distribution of OpenVINO baseurl=https://yum.repos.intel.com/openvino enabled=1 gpgcheck=1 repo_gpgcheck=1 gpgkey=https://yum.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB EOF
Move the new openvino.repo file to the YUM configuration directory, i.e. /etc/yum.repos.d:
.. code-block:: sh
sudo mv /tmp/openvino.repo /etc/yum.repos.d
Verify that the new repository is set up properly.
.. code-block:: sh
yum repolist | grep -i openvino
You will see the available list of packages.
To list available OpenVINO packages, use the following command:
.. code-block:: sh
yum list 'openvino*'
Step 2: Install OpenVINO Runtime Using the YUM Package Manager ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
.. tab-set::
.. tab-item:: The Latest Version :sync: latest-version
Run the following command:
.. code-block:: sh
sudo yum install openvino
.. tab-item:: A Specific Version :sync: specific-version
Run the following command:
.. code-block:: sh
sudo yum install openvino-<VERSION>.<UPDATE>.<PATCH>
For example:
.. code-block:: sh
sudo yum install openvino-2026.1.0
Run the following command:
.. code-block:: sh
yum list installed 'openvino*'
.. note::
You can additionally install Python API using one of the alternative methods (:doc:conda <install-openvino-conda> or :doc:pip <install-openvino-pip>).
Congratulations! You've just Installed OpenVINO! For some use cases you may still
need to install additional components. Check the
:doc:list of additional configurations <./configurations>
to see if your case needs any of them.
With the YUM distribution, you can build OpenVINO sample files, as explained in the
:doc:guide for OpenVINO sample applications <../../../get-started/learn-openvino/openvino-samples>.
For C++ and C, just run the build_samples.sh script:
.. tab-set::
.. tab-item:: C++ :sync: cpp
.. code-block:: sh
/usr/share/openvino/samples/cpp/build_samples.sh
.. tab-item:: C :sync: c
.. code-block:: sh
/usr/share/openvino/samples/c/build_samples.sh
Uninstalling OpenVINO Runtime ##############################
To uninstall OpenVINO Runtime via YUM, run the following command based on your needs:
.. tab-set::
.. tab-item:: The Latest Version :sync: latest-version
.. code-block:: sh
sudo yum autoremove openvino
.. tab-item:: A Specific Version :sync: specific-version
.. code-block:: sh
sudo yum autoremove openvino-<VERSION>.<UPDATE>.<PATCH>
For example:
.. code-block:: sh
sudo yum autoremove openvino-2026.1.0
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 :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 :ref:Samples <code samples> page for other C++ example applications to get you started with OpenVINO, such as:
Basic object detection with the Hello Reshape SSD C++ sample <../../../get-started/learn-openvino/openvino-samples/hello-reshape-ssd>Object classification sample <../../../get-started/learn-openvino/openvino-samples/hello-classification>You can also try the following things:
OpenVINO Workflow <../../../openvino-workflow>.Model Preparation <../../../openvino-workflow/model-preparation>.Hugging Face <https://huggingface.co/OpenVINO>__.Inference with OpenVINO Runtime <../../../openvino-workflow/running-inference>.OpenVINO toolkit Samples Overview <../../../get-started/learn-openvino/openvino-samples>.product home page <https://software.intel.com/en-us/openvino-toolkit>__ .