DOCS: Reintroducing APT and YUM installation methods - porting #14492 to master (#14598)

* reintroducing apt and yum

* fix indents and create tabs

fixing indent in apt
creating tabs in yum article

* Update installing-openvino-yum.md

* tabbed content

Inserting installation steps into tabs.
Correcting formatting.

* correcting indents

* correct indent

* indent fix

* Update docs/install_guides/installing-model-dev-tools.md

Co-authored-by: Yuan Xu <yuan1.xu@intel.com>

* removing non-cpu dev

Removing GNA, NCS2, VPU from Step 5 in YUM article.
Correcting links to Python.

* add apt and yum for installation

* revising openvino-dev installation

* removing opencv from apt

* remove opencv from yum

* removing non-cpu devs

* Update installing-model-dev-tools.md

* update disclaimer

* openvino development tools

correcting the name

* build samples sections

* add architecture

* remove install details yum

* remove install details apt

* reflink fix

* removing ncs2

* add dependencies

* install parametere

* move note

* Update installing-model-dev-tools.md

* Update installing-openvino-apt.md

* Update installing-openvino-yum.md

* Update docs/install_guides/installing-openvino-apt.md

Co-authored-by: Yuan Xu <yuan1.xu@intel.com>

* Update docs/install_guides/installing-openvino-apt.md

Co-authored-by: Yuan Xu <yuan1.xu@intel.com>

* Update docs/install_guides/installing-openvino-yum.md

Co-authored-by: Yuan Xu <yuan1.xu@intel.com>

* Update docs/install_guides/installing-model-dev-tools.md

* Update installing-openvino-apt.md

Co-authored-by: Yuan Xu <yuan1.xu@intel.com>

docs/get_started/get_started_demos.md

@@ -18,6 +18,7 @@ Once the prerequisites have been installed, perform the following steps:
 To use sample applications, install OpenVINO Runtime via one of the following distribution channels (other distributions do not include sample files):
 
 * Archive files (recommended) - [Linux](@ref openvino_docs_install_guides_installing_openvino_from_archive_linux) | [Windows](@ref openvino_docs_install_guides_installing_openvino_from_archive_windows) | [macOS](@ref openvino_docs_install_guides_installing_openvino_from_archive_macos)
+* [APT](@ref openvino_docs_install_guides_installing_openvino_apt) or [YUM](@ref openvino_docs_install_guides_installing_openvino_yum) for Linux
 * Docker image - [Linux](@ref openvino_docs_install_guides_installing_openvino_docker_linux) | [Windows](@ref openvino_docs_install_guides_installing_openvino_docker_windows)
 * [Build from source](https://github.com/openvinotoolkit/openvino/wiki/BuildingCode)
 

docs/install_guides/installing-model-dev-tools.md

@@ -10,7 +10,7 @@ OpenVINO Development Tools is a set of utilities that make it easy to develop an
 
 The instructions on this page show how to install OpenVINO Development Tools. If you are a Python developer, it only takes a few simple steps to install the tools with PyPI. If you are developing in C++, OpenVINO Runtime must be installed separately before installing OpenVINO Development Tools.
 
-In both cases, Python 3.6 - 3.10 need be installed on your machine before starting.
+In both cases, Python 3.7 - 3.10 needs to be installed on your machine before starting.
 
 > **NOTE**: From the 2022.1 release, the OpenVINO™ Development Tools can only be installed via PyPI. 
 
@@ -57,19 +57,19 @@ Activate the newly created Python virtual environment by issuing this command:
 .. tab:: Linux and macOS
 
    .. code-block:: sh
-   
+
       source openvino_env/bin/activate
-   
+
 .. tab:: Windows
 
    .. code-block:: sh
-   
+
       openvino_env\Scripts\activate
-     
+
 .. important::
 
-  The above command must be re-run every time a new command terminal window is opened.
+   The above command must be re-run every time a new command terminal window is opened.
-  
+
 @endsphinxdirective
 
 
@@ -91,65 +91,75 @@ Note that the commands are different for a Python installation and a C++ install
 
 .. tab:: Python
 
-  To install and configure the components of the development package for working with specific frameworks, use the following command:
+   To install OpenVINO Development Tools into the existing environment with the deep learning framework of your choice, run the following command:
 
    .. code-block:: sh
-   
+
-      pip install openvino-dev[extras]
+      pip install openvino-dev
-      
+
-  where the `extras` parameter specifies one or more deep learning frameworks via these values: `caffe`, `kaldi`, `mxnet`, `onnx`, `pytorch`, `tensorflow`, `tensorflow2`. Make sure that you install the corresponding frameworks for your models.
+   In case that you encounter any compatibility issues between OpenVINO and your deep learning framework, you may install OpenVINO Development Tools into a separate environment. Use the following command to get specific validated versions of your framework:
-  
+
-  For example, to install and configure the components for working with TensorFlow 2.x and ONNX, use the following command:
-  
    .. code-block:: sh
-   
+
+      pip install openvino-dev[extras]
+
+   where the `extras` parameter specifies one or more deep learning frameworks via these values: `caffe`, `kaldi`, `mxnet`, `onnx`, `pytorch`, `tensorflow`, `tensorflow2`. Make sure that you install the corresponding frameworks for your models.
+
+   For example, to install and configure the components for working with TensorFlow 2.x and ONNX, use the following command:
+
+   .. code-block:: sh
+
       pip install openvino-dev[tensorflow2,onnx]
-   
+
    .. note::
-      
+
       Model Optimizer support for TensorFlow 1.x environment has been deprecated. Use the `tensorflow2` parameter to install a TensorFlow 2.x environment that can convert both TensorFlow 1.x and 2.x models. If your model isn't compatible with the TensorFlow 2.x environment, use the `tensorflow` parameter to install the TensorFlow 1.x environment. The TF 1.x environment is provided only for legacy compatibility reasons.
-      
+
 .. tab:: C++
 
-  When using OpenVINO Development Tools for C++ development, it’s important to install the same version as OpenVINO Runtime. Following the instructions below will ensure that you are installing a version that matches that of OpenVINO Runtime.
+   When using OpenVINO Development Tools for C++ development, it’s important to install the same version as OpenVINO Runtime. Following the instructions below will ensure that you are installing a version that matches that of OpenVINO Runtime.
-  
+
-  **Recommended: Install Using the Requirements Files**
+   **Recommended: Install Using the Requirements Files**
-  After you have installed OpenVINO Runtime from an archive file, you can find a set of requirements files in the <INSTALL_DIR>\tools\ directory. The requirements files will install the matching version of OpenVINO Development Tools and its dependencies.
+
-  
+   After you have installed OpenVINO Runtime from an archive file, you can find a set of requirements files in the <INSTALL_DIR>\tools\ directory. The requirements files will install the matching version of OpenVINO Development Tools and its dependencies.
-  1. Install the OpenVINO Development Tools mandatory requirements using the following command:
+
+   1. Install the OpenVINO Development Tools mandatory requirements using the following command:
+
+      .. code-block:: sh
+
+         pip install -r <INSTALL_DIR>\tools\requirements.txt
+
+   2. If you are using additional frameworks, you must also install the requirements for those frameworks using the corresponding requirements file. For example, if you are using a TensorFlow model, use the following command to install requirements for TensorFlow:
+
+      .. code-block:: sh
+
+         pip install -r <INSTALL_DIR>\tools\requirements_tensorflow2.txt
+
+   **Alternative: Install the openvino-dev Package from PyPI**
+
+   You can also install OpenVINO Development Tools from PyPI using the following command.
+
+   .. important::
+
+      Make sure that the `openvino-dev` version you specified matches your installed version of OpenVINO Runtime. Otherwise, compatibility errors are likely to occur.
 
    .. code-block:: sh
-   
+
-      pip install -r <INSTALL_DIR>\tools\requirements.txt
+      pip install openvino-dev[EXTRAS]==2022.3.0
-      
+
-  2. If you are using additional frameworks, you must also install the requirements for those frameworks using the corresponding requirements file. For example, if you are using a TensorFlow model, use the following command to install requirements for TensorFlow:
+   where the EXTRAS parameter specifies one or more deep learning frameworks via these values: caffe, kaldi, mxnet, onnx, pytorch, tensorflow, tensorflow2. Make sure that you install the corresponding frameworks for your models. For example: 
-     
+
    .. code-block:: sh
-   
+
-      pip install -r <INSTALL_DIR>\tools\requirements_tensorflow2.txt
+      pip install openvino-dev[tensorflow2,onnx]==2022.3.0
-  
+
-  **Alternative: Install the openvino-dev Package from PyPI**
-  You can also install OpenVINO Development Tools from PyPI using the following command.
-  
-   .. important::
-    Make sure to specify the `openvino-dev` version that matches your installed version of OpenVINO Runtime. Otherwise, compatibility errors are likely to occur.
-    
-   .. code-block:: sh
-   
-      pip install openvino-dev[EXTRAS]==2022.2
-      
-  where the EXTRAS parameter specifies one or more deep learning frameworks via these values: caffe, kaldi, mxnet, onnx, pytorch, tensorflow, tensorflow2. Make sure that you install the corresponding frameworks for your models. For example: 
-      
-   .. code-block:: sh
-    
-      pip install openvino-dev[tensorflow2,onnx]==2022.2
-   
    .. note::
-      
+
       Model Optimizer support for TensorFlow 1.x environment has been deprecated. Use the `tensorflow2` parameter or to install a TensorFlow 2.x environment that can convert both TensorFlow 1.x and 2.x models. If your model isn't compatible with the TensorFlow 2.x environment, use the `tensorflow` parameter to install the TensorFlow 1.x environment. The TF 1.x environment is provided only for legacy compatibility reasons.
-     
+
 @endsphinxdirective
 
+
 For more details on the openvino-dev PyPI package, see https://pypi.org/project/openvino-dev/.
 
 ### Step 4. Test the Installation
@@ -170,12 +180,12 @@ Learn more about OpenVINO and use it in your own application by trying out some
 ### Get started with Python
 <img src="https://user-images.githubusercontent.com/15709723/127752390-f6aa371f-31b5-4846-84b9-18dd4f662406.gif" width=400>
 
-Try the [Python Quick Start Example](https://docs.openvino.ai/2022.2/notebooks/201-vision-monodepth-with-output.html) to estimate depth in a scene using an OpenVINO monodepth model in a Jupyter Notebook inside your web browser.
+Try the [Python Quick Start Example](https://docs.openvino.ai/nightly/notebooks/201-vision-monodepth-with-output.html) to estimate depth in a scene using an OpenVINO monodepth model in a Jupyter Notebook inside your web browser.
 
 Visit the [Tutorials](../tutorials.md) page for more Jupyter Notebooks to get you started with OpenVINO, such as:
-* [OpenVINO Python API Tutorial](https://docs.openvino.ai/2022.2/notebooks/002-openvino-api-with-output.html)
+* [OpenVINO Python API Tutorial](https://docs.openvino.ai/nightly/notebooks/002-openvino-api-with-output.html)
-* [Basic image classification program with Hello Image Classification](https://docs.openvino.ai/2022.2/notebooks/001-hello-world-with-output.html)
+* [Basic image classification program with Hello Image Classification](https://docs.openvino.ai/nightly/notebooks/001-hello-world-with-output.html)
-* [Convert a PyTorch model and use it for image background removal](https://docs.openvino.ai/2022.2/notebooks/205-vision-background-removal-with-output.html)
+* [Convert a PyTorch model and use it for image background removal](https://docs.openvino.ai/nightly/notebooks/205-vision-background-removal-with-output.html)
 
 ### Get started with C++
 <img src="https://user-images.githubusercontent.com/36741649/127170593-86976dc3-e5e4-40be-b0a6-206379cd7df5.jpg" width=400>

docs/install_guides/installing-openvino-apt.md

@@ -1,10 +1,224 @@
-# Install OpenVINO™ Runtime for Linux Using APT Repository
+# Install Intel® Distribution of OpenVINO™ Toolkit for Linux Using APT Repository {#openvino_docs_install_guides_installing_openvino_apt}
 
-Currently only the following ways are provided to install OpenVINO™:
+This guide provides detailed steps for installing OpenVINO™ Runtime through the APT repository and guidelines for installing OpenVINO Development Tools.
 
-* [Install OpenVINO Runtime from an Archive File](installing-openvino-from-archive-linux.md)
+> **NOTE**: From the 2022.1 release, OpenVINO™ Development Tools can be installed via PyPI only. See [Install OpenVINO Development Tools](#installing-openvino-development-tools) for more information.
-* [Install OpenVINO from PyPI](installing-openvino-pip.md)
-* [Install OpenVINO with Docker](installing-openvino-docker-linux.md)
-* [Build From Source](https://github.com/openvinotoolkit/openvino/wiki/BuildingCode)
 
-The other installation methods are temporarily unavailable.
+> **IMPORTANT**: By downloading and using this container and the included software, you agree to the terms and conditions of the [software license agreements](https://software.intel.com/content/dam/develop/external/us/en/documents/intel-openvino-license-agreements.pdf).
+
+## System Requirements
+
+@sphinxdirective
+.. tab:: Operating Systems
+
+  * Ubuntu 18.04 long-term support (LTS) x86, 64-bit
+  * Ubuntu 20.04 long-term support (LTS) x86, 64-bit
+
+.. tab:: Hardware
+
+  Optimized for these processors:
+
+  * 6th to 12th generation Intel® Core™ processors and Intel® Xeon® processors
+  * 3rd generation Intel® Xeon® Scalable processor (formerly code named Cooper Lake)
+  * Intel® Xeon® Scalable processor (formerly Skylake and Cascade Lake)
+  * Intel Atom® processor with support for Intel® Streaming SIMD Extensions 4.1 (Intel® SSE4.1)
+  * Intel Pentium® processor N4200/5, N3350/5, or N3450/5 with Intel® HD Graphics
+  * Intel® Iris® Xe MAX Graphics
+
+.. tab:: Processor Notes
+
+  Processor graphics are not included in all processors.
+  See `Product Specifications`_ for information about your processor.
+
+  .. _Product Specifications: https://ark.intel.com/
+
+.. tab:: Software
+
+  * `CMake 3.13 or higher, 64-bit <https://cmake.org/download/>`_
+  * GCC 7.5.0 (for Ubuntu 18.04) or GCC 9.3.0 (for Ubuntu 20.04)
+  * `Python 3.7 - 3.10, 64-bit <https://www.python.org/downloads/>`_
+
+@endsphinxdirective
+
+## Installing OpenVINO Runtime
+
+### Step 1: Set Up the OpenVINO Toolkit APT Repository
+
+1. Install the GPG key for the repository
+
+    a. Download the [GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB](https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB).
+
+        You can also use the following command:
+        ```sh
+        wget https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
+        ```
+
+    b. Add this key to the system keyring:
+        ```sh
+        sudo apt-key add GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
+        ```
+
+    > **NOTE**: You might need to install GnuPG: `sudo apt-get install gnupg`
+
+2.	Add the repository via the following command:
+@sphinxdirective
+
+.. tab:: Ubuntu 18
+
+   .. code-block:: sh
+
+      echo "deb https://apt.repos.intel.com/openvino/2022 bionic main" | sudo tee /etc/apt/sources.list.d/intel-openvino-2022.list
+
+.. tab:: Ubuntu 20
+
+   .. code-block:: sh
+
+      echo "deb https://apt.repos.intel.com/openvino/2022 focal main" | sudo tee /etc/apt/sources.list.d/intel-openvino-2022.list
+
+@endsphinxdirective
+
+
+3.	Update the list of packages via the update command:
+   ```sh
+   sudo apt update
+   ```
+
+4.	Verify that the APT repository is properly set up. Run the apt-cache command to see a list of all available OpenVINO packages and components:
+   ```sh
+   apt-cache search openvino
+   ```
+
+
+### Step 2: Install OpenVINO Runtime Using the APT Package Manager
+
+#### Install OpenVINO Runtime
+
+@sphinxdirective
+
+.. tab:: The Latest Version
+
+   Run the following command:
+
+   .. code-block:: sh
+
+      sudo apt install openvino
+
+
+.. tab::  A Specific Version
+
+   1. Get a list of OpenVINO packages available for installation:
+
+      .. code-block:: sh
+
+         sudo apt-cache search openvino
+
+   2. Install a specific version of an OpenVINO package:
+
+      .. code-block:: sh
+
+         sudo apt install openvino-<VERSION>.<UPDATE>.<PATCH>
+
+      For example:
+
+      .. code-block:: sh
+
+         sudo apt install openvino-2022.3.0
+
+.. note::
+
+   You can use `--no-install-recommends` option to install only required packages. Keep in mind that the build tools must be installed **separately** if you want to compile the samples.
+
+@endsphinxdirective
+
+
+#### Check for Installed Packages and Versions
+
+Run the following command:
+```sh
+apt list --installed | grep openvino
+```
+
+#### Uninstall OpenVINO Runtime
+
+@sphinxdirective
+
+.. tab:: The Latest Version
+
+   Run the following command:
+
+   .. code-block:: sh
+
+      sudo apt autoremove openvino
+
+
+.. tab::  A Specific Version
+
+   Run the following command:
+
+   .. code-block:: sh
+
+      sudo apt autoremove openvino-<VERSION>.<UPDATE>.<PATCH>
+
+   For example:
+
+   .. code-block:: sh
+
+      sudo apt autoremove openvino-2022.3.0
+
+@endsphinxdirective
+
+### Step 3 (Optional): Install Software Dependencies
+
+After you have installed OpenVINO Runtime, if you decided to [install OpenVINO Model Development Tools](installing-model-dev-tools.md), make sure that you install external software dependencies first.
+
+Refer to <a href="openvino_docs_install_guides_installing_openvino_linux.html#install-external-dependencies">Install External Software Dependencies</a> for detailed steps.
+
+### Step 4 (Optional): Configure Inference on Non-CPU Devices
+
+To enable the toolkit components to use processor graphics (GPU) on your system, follow the steps in [GPU Setup Guide](@ref openvino_docs_install_guides_configurations_for_intel_gpu).
+
+### Step 5: Build Samples
+
+To build the C++ or C sample applications for Linux, run the `build_samples.sh` script:
+
+@sphinxdirective
+
+.. tab:: C++
+
+   .. code-block:: sh
+
+      /usr/share/openvino/samples/cpp/build_samples.sh
+
+.. tab:: C
+
+   .. code-block:: sh
+
+      /usr/share/openvino/samples/c/build_samples.sh
+
+@endsphinxdirective
+
+For more information, refer to <a href="openvino_docs_OV_UG_Samples_Overview.html#build-samples-linux">Build the Sample Applications on Linux</a>.
+
+## Installing OpenVINO Development Tools
+
+> **NOTE**: From the 2022.1 release, the OpenVINO™ Development Tools can be installed via PyPI only.
+
+To install OpenVINO Development Tools, do the following steps:
+1. [Install OpenVINO Runtime](#installing-openvino-runtime) if you haven't done it yet.
+2. <a href="openvino_docs_install_guides_installing_openvino_linux.html#install-external-dependencies">Install External Software Dependencies</a>.
+3. See the **For C++ Developers** section in [Install OpenVINO Development Tools](installing-model-dev-tools.md) for detailed steps.
+
+## What's Next?
+
+Now you may continue with the following tasks:
+
+* To convert models for use with OpenVINO, see [Model Optimizer Developer Guide](../MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md).
+* See pre-trained deep learning models in our [Open Model Zoo](../model_zoo.md).
+* Try out OpenVINO via [OpenVINO Notebooks](https://docs.openvino.ai/nightly/notebooks/notebooks.html).
+* To write your own OpenVINO™ applications, see [OpenVINO Runtime User Guide](../OV_Runtime_UG/openvino_intro.md).
+* See sample applications in [OpenVINO™ Toolkit Samples Overview](../OV_Runtime_UG/Samples_Overview.md).
+
+## Additional Resources
+
+- Intel® Distribution of OpenVINO™ toolkit home page: <https://software.intel.com/en-us/openvino-toolkit>.
+- For IoT Libraries & Code Samples see the [Intel® IoT Developer Kit](https://github.com/intel-iot-devkit).

docs/install_guides/installing-openvino-linux-header.md

@@ -8,6 +8,8 @@
 
    From Archive <openvino_docs_install_guides_installing_openvino_from_archive_linux>
    From PyPI <openvino_docs_install_guides_installing_openvino_pip>
+   From APT <openvino_docs_install_guides_installing_openvino_apt>
+   From YUM <openvino_docs_install_guides_installing_openvino_yum>
    Using Docker <openvino_docs_install_guides_installing_openvino_docker_linux>
 
 @endsphinxdirective
@@ -16,5 +18,7 @@ If you want to install OpenVINO™ Runtime on your Linux machine, there are a fe
 
 * [Install OpenVINO Runtime from an Archive File](installing-openvino-from-archive-linux.md)
 * [Install OpenVINO from PyPI](installing-openvino-pip.md)
+* [Install OpenVINO Runtime from APT](installing-openvino-apt.md)
+* [Install OpenVINO Runtime from YUM](installing-openvino-yum.md)
 * [Install OpenVINO with Docker](installing-openvino-docker-linux.md)
 

docs/install_guides/installing-openvino-overview.md

@@ -50,7 +50,7 @@ OpenVINO Runtime may also be installed on its own without OpenVINO Development T
 
 The following methods are available to install OpenVINO Runtime:
 
-* Linux: You can install OpenVINO Runtime using archive files or Docker. See [Install OpenVINO on Linux](installing-openvino-linux-header.md).
+* Linux: You can install OpenVINO Runtime using APT, YUM, archive files or Docker. See [Install OpenVINO on Linux](installing-openvino-linux-header.md).
 * Windows: You can install OpenVINO Runtime using archive files or Docker. See [Install OpenVINO on Windows](installing-openvino-windows-header.md).
 * macOS: You can install OpenVINO Runtime using archive files or Docker. See [Install OpenVINO on macOS](installing-openvino-macos-header.md).
 * [Raspbian OS](installing-openvino-raspbian.md)

docs/install_guides/installing-openvino-yum.md

@@ -1,10 +1,198 @@
-# Install OpenVINO™ Runtime on Linux Using YUM Repository
+# Install OpenVINO™ Runtime on Linux Using YUM Repository {#openvino_docs_install_guides_installing_openvino_yum}
 
-Currently only the following ways are provided to install OpenVINO™:
+This guide provides installation steps for OpenVINO™ Runtime for Linux distributed through the YUM repository.
 
-* [Install OpenVINO Runtime from an Archive File](installing-openvino-from-archive-linux.md)
+> **NOTE**: From the 2022.1 release, the OpenVINO™ Development Tools can only be installed via PyPI. If you want to develop or optimize your models with OpenVINO, see [Install OpenVINO Development Tools](installing-model-dev-tools.md) for detailed steps.
-* [Install OpenVINO from PyPI](installing-openvino-pip.md)
-* [Install OpenVINO with Docker](installing-openvino-docker-linux.md)
-* [Build From Source](https://github.com/openvinotoolkit/openvino/wiki/BuildingCode)
 
-The other installation methods are temporarily unavailable.
+> **IMPORTANT**: By downloading and using this container and the included software, you agree to the terms and conditions of the [software license agreements](https://software.intel.com/content/dam/develop/external/us/en/documents/intel-openvino-license-agreements.pdf).
+
+## System Requirements
+
+@sphinxdirective
+.. tab:: Operating Systems
+
+  * Red Hat Enterprise Linux 8 x86, 64-bit
+
+.. tab:: Hardware
+
+  Optimized for these processors:
+
+  * 6th to 12th generation Intel® Core™ processors and Intel® Xeon® processors
+  * 3rd generation Intel® Xeon® Scalable processor (formerly code named Cooper Lake)
+  * Intel® Xeon® Scalable processor (formerly Skylake and Cascade Lake)
+  * Intel Atom® processor with support for Intel® Streaming SIMD Extensions 4.1 (Intel® SSE4.1)
+  * Intel Pentium® processor N4200/5, N3350/5, or N3450/5 with Intel® HD Graphics
+  * Intel® Iris® Xe MAX Graphics
+
+.. tab:: Processor Notes
+
+  Processor graphics are not included in all processors.
+  See `Product Specifications`_ for information about your processor.
+
+  .. _Product Specifications: https://ark.intel.com/
+
+.. tab:: Software
+
+  * `CMake 3.13 or higher, 64-bit <https://cmake.org/download/>`_
+  * GCC 8.2.0
+  * `Python 3.7 - 3.10, 64-bit <https://www.python.org/downloads/>`_
+
+@endsphinxdirective
+
+## Install OpenVINO Runtime
+
+### Step 1: Set Up the Repository
+
+1. Create the YUM repo file in the `/tmp` directory as a normal user:
+   ```
+   tee > /tmp/openvino-2022.repo << EOF
+   [OpenVINO]
+   name=Intel(R) Distribution of OpenVINO 2022
+   baseurl=https://yum.repos.intel.com/openvino/2022
+   enabled=1
+   gpgcheck=1
+   repo_gpgcheck=1
+   gpgkey=https://yum.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
+   EOF
+   ```
+2.	Move the new openvino-2022.repo file to the YUM configuration directory `/etc/yum.repos.d`:
+   ```sh
+   sudo mv /tmp/openvino-2022.repo /etc/yum.repos.d
+   ```
+3.	Verify that the new repo is properly setup by running the following command:
+   ```sh
+   yum repolist | grep -i openvino
+   ```
+    You will see the available list of packages.
+
+
+To list available OpenVINO packages, use the following command:
+
+@sphinxdirective
+
+   .. code-block:: sh
+
+      yum list 'openvino*'
+
+@endsphinxdirective
+
+### Step 2: Install OpenVINO Runtime Using the YUM Package Manager
+
+#### Install OpenVINO Runtime
+
+@sphinxdirective
+
+.. tab:: The Latest Version
+
+   Run the following command:
+
+   .. code-block:: sh
+
+      sudo yum install openvino
+
+.. tab::  A 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-2022.3.0
+
+@endsphinxdirective
+
+
+#### Check for Installed Packages and Version
+
+Run the following command:
+
+@sphinxdirective
+
+   .. code-block:: sh
+
+      yum list installed 'openvino*'
+
+@endsphinxdirective
+
+
+#### Uninstall OpenVINO Runtime
+
+@sphinxdirective
+
+.. tab:: The Latest Version
+
+   Run the following command:
+
+   .. code-block:: sh
+
+      sudo yum autoremove openvino
+
+
+.. tab::  A Specific Version
+
+   Run the following command:
+
+   .. code-block:: sh
+
+      sudo yum autoremove openvino-<VERSION>.<UPDATE>.<PATCH>
+
+   For example:
+
+   .. code-block:: sh
+
+      sudo yum autoremove openvino-2022.3.0
+
+@endsphinxdirective
+
+
+### Step 3 (Optional): Install Software Dependencies
+
+After you have installed OpenVINO Runtime, if you decided to [install OpenVINO Model Development Tools](installing-model-dev-tools.md), make sure that you install external software dependencies first.
+
+Refer to <a href="openvino_docs_install_guides_installing_openvino_linux.html#install-external-dependencies">Install External Software Dependencies</a> for detailed steps.
+
+### Step 4 (Optional): Configure Inference on Non-CPU Devices
+
+To enable the toolkit components to use processor graphics (GPU) on your system, follow the steps in [GPU Setup Guide](@ref openvino_docs_install_guides_configurations_for_intel_gpu).
+
+### Step 5: Build Samples
+
+To build the C++ or C sample applications for Linux, run the `build_samples.sh` script:
+
+@sphinxdirective
+
+.. tab:: C++
+
+   .. code-block:: sh
+
+      /usr/share/openvino/samples/cpp/build_samples.sh
+
+.. tab:: C
+
+   .. code-block:: sh
+
+      /usr/share/openvino/samples/c/build_samples.sh
+
+@endsphinxdirective
+
+For more information, refer to <a href="openvino_docs_OV_UG_Samples_Overview.html#build-samples-linux">Build the Sample Applications on Linux</a>.
+
+## What's Next?
+
+Now you may continue with the following tasks:
+
+* To convert models for use with OpenVINO, see [Model Optimizer Developer Guide](../MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md).
+* See pre-trained deep learning models in our [Open Model Zoo](../model_zoo.md).
+* Try out OpenVINO via [OpenVINO Notebooks](https://docs.openvino.ai/nightly/notebooks/notebooks.html).
+* To write your own OpenVINO™ applications, see [OpenVINO Runtime User Guide](../OV_Runtime_UG/openvino_intro.md).
+* See sample applications in [OpenVINO™ Samples Overview](../OV_Runtime_UG/Samples_Overview.md).
+
+## Additional Resources
+
+- OpenVINO™ home page: <https://software.intel.com/en-us/openvino-toolkit>
+- For IoT Libraries & Code Samples, see [Intel® IoT Developer Kit](https://github.com/intel-iot-devkit).