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OpenVINO™ Tools Overview

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   openvino-project/openvino-test-drive

This page provides an overview of the most noteworthy tools and components for AI developers, hosted in repositories under the OpenVINO project:

OpenVINO™ GenAI Library simplifies running inference of generative AI models. Check the LLM-powered Chatbot Jupyter notebook to see how GenAI works.


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.


A high-performance system that can be used to access the host models via request to the model server.


A collection of Jupyter notebooks for learning and experimenting with the OpenVINO™ Toolkit.


A cross-platform graphic user interface application for running and testing generative and vision AI models on computers or edge devices.


OpenVINO Tokenizers add text processing operations to OpenVINO.