# openvino_build_deploy **Repository Path**: gre_grass/openvino_build_deploy ## Basic Information - **Project Name**: openvino_build_deploy - **Description**: No description available - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-11-11 - **Last Updated**: 2025-11-11 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Build and Deploy AI Solutions with the OpenVINO™ Toolkit [![Apache License Version 2.0](https://img.shields.io/badge/license-Apache_2.0-green.svg)](https://github.com/openvinotoolkit/openvino_build_deploy/blob/master/LICENSE.txt) Welcome to the **Build and Deploy AI Solutions** repository! This repository contains pre-built components and code samples designed to accelerate the development and deployment of **production-grade AI** applications across various industries, including retail, healthcare, gaming, manufacturing, and more. With the OpenVINO™ Toolkit from Intel, you can enhance the capabilities of both Intel and non-Intel hardware to meet your specific needs. > Material and dependencies are self-contained, so you can get started building easily. ## Table of Contents - [➡️ Repo Contents](#repo-contents) - [📚 Additional Resources](#additional-resources) - [🌳 How to Contribute](#contribute) - [❓ Troubleshooting and Resources](#troubleshooting-and-resources) - [🧑‍💻 Team](#team) ## Repo Contents ### [AI Reference Kits](ai_ref_kits): Production-Ready OpenVINO Code Start development of your AI applications, including deep learning and Gen AI, on top of our code samples, conference demos, and [here](https://www.intel.com/content/www/us/en/developer/topic-technology/edge-5g/open-potential.html). Each AI Reference Kit includes: - Detailed documentation - Pre-configured demos - Code samples to seamlessly integrate AI functionalities into your projects. ### [Interactive Demos](demos): End-to-end Examples with Simple Setup This directory contains interactive demos aimed at demonstrating how OpenVINO performs as an AI optimization and inference engine (cloud, client, and edge). ### [Desktop Applications](apps): User-Friendly AI Applications with OpenVINO Discover interactive desktop applications using OpenVINO as an engine for AI inference. ### [Notebooks](notebooks): Jupyter Notebooks with OpenVINO code Explore Jupyter notebooks that demonstrate how to use OpenVINO to build and deploy AI solutions. ### [Workshops](workshops): Guided Content to Get Started Building Explored guided content our team created and demonstrated at events. ### [Wiki](https://github.com/openvinotoolkit/openvino_build_deploy/wiki): Step-by-step Instructions Explore instructions on [setup for the AI PC](https://github.com/openvinotoolkit/openvino_build_deploy/wiki/AI-PC-Setup), including [performance monitoring](https://github.com/openvinotoolkit/openvino_build_deploy/wiki/Steps-to-Setup-Performance-Monitor-for-AI-PC-(Windows)) and more. ## Additional Resources ### OpenVINO Jupyter Notebooks Use our Jupyter notebooks to jump-start your projects and apps, which can be found in this [repository](https://github.com/openvinotoolkit/openvino_notebooks). ### OpenVINO Medium Blog To read about the latest details and updates on OpenVINO toolkit, visit our [blog](https://medium.com/openvino-toolkit). ## Contribute If you want to contribute to OpenVINO toolkit, please read this [article](https://medium.com/openvino-toolkit/how-to-contribute-to-an-ai-open-source-project-c741f48e009e). ## Troubleshooting and Resources - Open a [discussion topic](https://github.com/openvinotoolkit/openvino_build_deploy/discussions) - Create an [issue](https://github.com/openvinotoolkit/openvino_build_deploy/issues) - Learn more about [OpenVINO](https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html) - Explore [OpenVINO’s documentation](https://docs.openvino.ai/home.html) ## Team Hello, we're the AI Evangelist team at Intel! We’re a group of experts in AI spread across the globe, and we aim to guide you through real-world use cases for the OpenVINO toolkit. Feel free to reach out to any of us on Linkedin, or choose the one closest to you! | | | |---|---| |[![ray](https://github.com/openvinotoolkit/openvino_notebooks/assets/138901786/747ab608-235a-4db9-b959-c9e158b40b12)](https://www.linkedin.com/in/raymondlo84/)|[![adrian](https://github.com/openvinotoolkit/openvino_notebooks/assets/138901786/10d11bf5-63f0-485b-93cb-581354203723)](https://www.linkedin.com/in/adrianboguszewski/)| |**[Raymond Lo](https://www.linkedin.com/in/raymondlo84/)**
Global Lead
(Santa Clara – HQ, California)

PhD in Computer Engineering
10+ Years as Entrepreneur Executive & Evangelist|**[Adrian Boguszewski](https://www.linkedin.com/in/adrianboguszewski/)**
Deep Learning Expert
(Gdansk, Poland)

MSc in Computer Science
5+ years as DL Engineer| |[![anisha](https://github.com/openvinotoolkit/openvino_notebooks/assets/138901786/d3641d44-f6b4-410d-96ce-4c401e99b35c)](https://www.linkedin.com/in/anisha-uday/)|[![zhuo](https://github.com/openvinotoolkit/openvino_notebooks/assets/138901786/be02c0af-182a-4504-bac5-4780849f9e47)](https://www.linkedin.com/in/wuzhuo/)| |**[Anisha Udayakumar](https://www.linkedin.com/in/anisha-uday/)**
AI Innovation Consultant
(Bengaluru, India)

BTech in Civil Engineering
5+ years as a Innovation Consultant|**[Zhuo Wu](https://www.linkedin.com/in/wuzhuo/)**
Professor and Research Scientist
(Shanghai, China)

PhD in Electronics
15+ Years as a Researcher and Professor| |[![eze](https://github.com/user-attachments/assets/a2f239c4-ac6f-400b-8aba-18b21df84e35)](https://www.linkedin.com/in/ezelanza/)|| |**[Ezequiel (Eze) Lanza](https://www.linkedin.com/in/ezelanza/)**
Open Source AI Evangelist
(Toronto, Canada)

MSc in Data Science
10+ years as AI/ML Engineer and Open Source Evangelist|| [//]: # (telemetry pixel)