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[DOCS] ecosystem restructuring 25.0 (#28786)
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port: #28780

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Co-authored-by: sgolebiewski-intel <[email protected]>
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27 changes: 10 additions & 17 deletions docs/articles_en/about-openvino.rst
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Expand Up @@ -20,7 +20,6 @@ toolkit designed to optimize, accelerate, and deploy deep learning models for us
OpenVINO is actively developed by Intel® to work efficiently on a wide range of Intel® hardware platforms,
including CPUs (x86 and Arm), GPUs, and NPUs.


Features
##############################################################

Expand All @@ -32,23 +31,16 @@ To learn about the main properties of OpenVINO, see the :doc:`Key Features <abou
Architecture
##############################################################

To learn more about how OpenVINO works, read the Developer documentation on its `architecture <https://github.com/openvinotoolkit/openvino/blob/master/src/docs/architecture.md>`__ and `core components <https://github.com/openvinotoolkit/openvino/blob/master/src/README.md>`__.

OpenVINO Ecosystem
##############################################################

Along with the primary components of model optimization and runtime, the toolkit also includes:

* `Neural Network Compression Framework (NNCF) <https://github.com/openvinotoolkit/nncf>`__ - a tool for enhanced OpenVINO™ inference to get performance boost with minimal accuracy drop.
* :doc:`Openvino Notebooks <get-started/learn-openvino/interactive-tutorials-python>`- Jupyter Python notebook, which demonstrate key features of the toolkit.
* `OpenVINO Model Server <https://github.com/openvinotoolkit/model_server>`__ - a server that enables scalability via a serving microservice.
* :doc:`OpenVINO Training Extensions <about-openvino/openvino-ecosystem/openvino-training-extensions>` – a convenient environment to train Deep Learning models and convert them using the OpenVINO™ toolkit for optimized inference.
* :doc:`Dataset Management Framework (Datumaro) <about-openvino/openvino-ecosystem/datumaro>` - a tool to build, transform, and analyze datasets.
To learn more about how OpenVINO works, read the Developer documentation on its
`architecture <https://github.com/openvinotoolkit/openvino/blob/master/src/docs/architecture.md>`__
and
`core components <https://github.com/openvinotoolkit/openvino/blob/master/src/README.md>`__.

Community
##############################################################

OpenVINO community plays a vital role in the growth and development of the open-sourced toolkit. Users can contribute to OpenVINO and get support using the following channels:
OpenVINO community plays a vital role in the growth and development of the open-sourced toolkit.
Users can contribute to OpenVINO and get support using the following channels:

* `OpenVINO GitHub issues, discussions and pull requests <https://github.com/openvinotoolkit/openvino>`__
* `OpenVINO Blog <https://blog.openvino.ai/>`__
Expand All @@ -59,6 +51,7 @@ OpenVINO community plays a vital role in the growth and development of the open-
Case Studies
##############################################################

OpenVINO has been employed in various case studies across a wide range of industries and applications, including healthcare, retail, safety and security, transportation, and more. Read about how OpenVINO enhances efficiency, accuracy, and safety in different sectors on the `success stories page <https://www.intel.com/content/www/us/en/internet-of-things/ai-in-production/success-stories.html>`__.


OpenVINO has been employed in various case studies across a wide range of industries and
applications, including healthcare, retail, safety and security, transportation, and more.
Read about how OpenVINO enhances efficiency, accuracy, and safety in different sectors on the
`success stories page <https://www.intel.com/content/www/us/en/internet-of-things/ai-in-production/success-stories.html>`__.
142 changes: 18 additions & 124 deletions docs/articles_en/about-openvino/openvino-ecosystem.rst
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OpenVINO™ Ecosystem Overview
==============================

OpenVINO Ecosystem
==================

.. meta::
:description: OpenVINO™ ecosystem offers various resources for developing deep learning
solutions.

:description: Explore the OpenVINO™ ecosystem of tools and resources for developing deep
learning solutions.

.. toctree::
:maxdepth: 1
:hidden:

openvino-ecosystem/openvino-training-extensions
openvino-ecosystem/openvino-test-drive
openvino-ecosystem/datumaro
openvino-ecosystem/openvino-security-add-on



OpenVINO™ is a big project, offering more than just the core runtime. This page will give
you an overview of a whole ecosystem of tools and solutions under the OpenVINO umbrella.


| **GenAI**
| :bdg-link-dark:`Github <https://github.com/openvinotoolkit/openvino.genai>`
:bdg-link-success:`User Guide <https://docs.openvino.ai/2025/openvino-workflow-generative/inference-with-genai.html>`
OpenVINO™ GenAI Library aims to simplify running inference of generative AI
models. Check the LLM-powered Chatbot Jupyter notebook to see how GenAI works.
|hr|


| **Neural Network Compression Framework**
| :bdg-link-dark:`Github <https://github.com/openvinotoolkit/nncf>`
:bdg-link-success:`User Guide <https://docs.openvino.ai/2025/openvino-workflow/model-optimization.html>`
A suite of advanced algorithms for Neural Network inference optimization with minimal accuracy
drop. NNCF applies quantization, filter pruning, binarization, and sparsity algorithms to PyTorch
and TensorFlow models during training.
|hr|


| **OpenVINO Model Server**
| :bdg-link-dark:`Github <https://github.com/openvinotoolkit/model_server>`
:bdg-link-success:`User Guide <https://docs.openvino.ai/2025/ovms_what_is_openvino_model_server.html>`
A high-performance system that can be used to access the host models via request to the model
server.
|hr|


| **OpenVINO Notebooks**
| :bdg-link-dark:`Github <https://github.com/openvinotoolkit/openvino_notebooks>`
:bdg-link-success:`Jupyter Notebook Collection <https://docs.openvino.ai/2025/learn-openvino/interactive-tutorials-python.html>`
A collection of Jupyter notebooks for learning and experimenting with the OpenVINO™ Toolkit.
|hr|


| **Hugging Face OpenVINO models**
| :bdg-link-info:`Model Collection <https://huggingface.co/OpenVINO>`
A Hugging Face repository hosting pre-optimized OpenVINO IR models, so that you can use them
without the need to convert.
|hr|


| **OpenVINO Training Extensions**
| :bdg-link-dark:`Github <https://github.com/openvinotoolkit/training_extensions>`
:bdg-link-success:`Overview Page <https://docs.openvino.ai/2025/about-openvino/openvino-ecosystem/openvino-training-extensions.html>`
A convenient environment to train Deep Learning models and convert them using the OpenVINO™
toolkit for optimized inference.
|hr|


| **OpenVINO Security Addon**
| :bdg-link-dark:`Github <https://github.com/openvinotoolkit/security_addon>`
:bdg-link-success:`User Guide <https://docs.openvino.ai/2025/about-openvino/openvino-ecosystem/openvino-security-add-on.html>`
A solution for Model Developers and Independent Software Vendors to use secure packaging and
secure model execution.
|hr|


| **Datumaro**
| :bdg-link-dark:`Github <https://github.com/openvinotoolkit/datumaro>`
:bdg-link-success:`Overview Page <https://docs.openvino.ai/2025/about-openvino/openvino-ecosystem/datumaro.html>`
A framework and a CLI tool for building, transforming, and analyzing datasets.
|hr|


| **Intel® Geti™**
| :bdg-link-dark:`Github <https://github.com/openvinotoolkit/geti-sdk>`
:bdg-link-info:`Official Website <https://geti.intel.com/>`
Intel's new software for building computer vision
models in a fraction of the time and with less data. This software eases laborious
data labeling, model training and optimization tasks across the AI model
development process, empowering teams to produce custom AI models at scale.
|hr|


| **Intel® Test Drive**
| :bdg-link-dark:`Github <https://github.com/openvinotoolkit/openvino_testdrive>`
OpenVINO™ Test Drive is cross-platform graphic user interface application that enables running
generative AI and vision models directly on your computer or edge device using OpenVINO™ Runtime.
|hr|


| **Tokenizers**
| :bdg-link-dark:`Github <https://github.com/openvinotoolkit/openvino_tokenizers>`
:bdg-link-success:`User Guide <https://docs.openvino.ai/2025/openvino-workflow-generative/ov-tokenizers.html>`
OpenVINO Tokenizers add text processing operations to OpenVINO.

OpenVINO-based AI projects
##########################

OpenVINO is used in many educational, multimodal, and AI projects in the fields of AI Audio,
Natural Language Processing, AI Computer Vision, Generative AI, operating systems and API extensions.
Examples of such projects are: `OpenVINO AI Plugins for GIMP <https://github.com/intel/openvino-ai-plugins-gimp>`__,
`OpenVINO Code <https://github.com/openvinotoolkit/openvino_contrib/tree/master/modules/openvino_code>`__, and
`NVIDIA GPU Plugin <https://github.com/openvinotoolkit/openvino_contrib/tree/master/modules/nvidia_plugin>`__.
OpenVINO Integrations <openvino-ecosystem/openvino-integrations>
The OpenVINO Project <openvino-ecosystem/openvino-project>
OpenVINO Adoptions <openvino-ecosystem/openvino-adoptions>

A detailed listing of OpenVINO-based AI projects is available in the
`Awesome OpenVINO repository <https://github.com/openvinotoolkit/awesome-openvino>`__

OpenVINO™, as a toolkit should, involves multiple components and integrations that may be used
in various areas of your Deep Learning pipelines. This section will give you an overview of a
whole ecosystem of resources either developed under the OpenVINO umbrella, integrating it with
external solutions, or utilizing its potential.

| :doc:`OpenVINO Integrations <./openvino-ecosystem/openvino-integrations>`
| See what other tools OpenVINO is easily integrated with and how you can benefit from its
performance, without rewriting your software.
.. |hr| raw:: html
| :doc:`The OpenVINO project <./openvino-ecosystem/openvino-project>`
| Check out the most noteworthy components of the OpenVINO project.
<hr style="margin-top:-12px!important;border-top:1px solid #383838;">
| :doc:`OpenVINO adoptions <./openvino-ecosystem/openvino-adoptions>`
| Here, you will find information about a selection of software projects utilizing OpenVINO.
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OpenVINO Adoptions
==========================

OpenVINO has been adopted by multiple AI projects in various areas. For an extensive list of
community-based projects involving OpenVINO, see the
`Awesome OpenVINO repository <https://github.com/openvinotoolkit/awesome-openvino>`__.

Here is a small selection of adoptions, including proprietary and commercial tools:

| **DaVinCI Resolve**
| :bdg-link-info:`Official Website <https://www.blackmagicdesign.com/products/davinciresolve>`
DaVinci resolve is a professional video editing suite by Blackmagic Design. It uses OpenVINO to
run some of its industry-leading AI features.
|hr|

| **OpenVINO AI Plugins for GIMP**
| :bdg-link-dark:`Official Repository <https://github.com/intel/openvino-ai-plugins-gimp>`
Gimp is an image editor that has promoted open source values for over two decades. Now, you can
use generative AI directly in the application, thanks to the OpenVINO plugin, just like in the
leading graphics suites.
|hr|

| **OpenVINO AI Plugins for Audacity**
| :bdg-link-info:`Official Website <https://www.audacityteam.org/download/openvino/>`
:bdg-link-dark:`Official Repository <https://github.com/intel/openvino-plugins-ai-audacity>`
Audacity is a hugely popular audio editing and recording application. Now, it offers AI-based
plugins running on OpenVINO, providing new effects, generators, and analyzers.
|hr|

| **VisionGuard**
| :bdg-link-dark:`Official Repository <https://github.com/inbasperu/VisionGuard>`
A desktop tool developed within Google Summer of Code. Its aim is to help computer users battle
eye strain, utilizing gaze estimation.
|hr|

| **OpenVINO Code**
| :bdg-link-dark:`Official Repository <https://github.com/openvinotoolkit/openvino_contrib/tree/master/modules/openvino_code>`
A coding assistant. A community-developed extension for Visual Studio Code, aiming to help
programmers by providing code completion and suggestions.
|hr|

| **NVIDIA GPU Plugin**
| :bdg-link-dark:`Official Repository <https://github.com/openvinotoolkit/openvino_contrib/tree/master/modules/nvidia_plugin>`
A device plugin for OpenVINO. A community-developed extension, enabling inference using
NVIDIA GPUs.
|hr|


.. |hr| raw:: html

<hr style="margin-top:-12px!important;border-top:1px solid #383838;">
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