OpenVINO™ Ecosystem Overview
==============================


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


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

   openvino-ecosystem/openvino-training-extensions
   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/2024/learn-openvino/llm_inference_guide/genai-guide.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/2024/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/2024/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/2024/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/2024/documentation/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/2024/documentation/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/2024/documentation/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|


| **Tokenizers**
| :bdg-link-dark:`Github <https://github.com/openvinotoolkit/openvino_tokenizers>`
  :bdg-link-success:`User Guide <https://docs.openvino.ai/2024/learn-openvino/llm_inference_guide/ov-tokenizers.html>`

OpenVINO Tokenizers add text processing operations to OpenVINO.
|hr|


| **OpenVINO's Open Model Zoo**
| :bdg-link-dark:`Github <https://github.com/openvinotoolkit/open_model_zoo>`
  :bdg-link-success:`User Guide <https://docs.openvino.ai/2024/documentation/legacy-features/model-zoo.html>`

Open Model Zoo includes optimized deep learning models and a set of demos to
expedite development of high-performance deep learning inference applications.

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>`__.

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



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