https://github.com/openvinotoolkit/openvino_build_deploy
Pre-built components and code samples to help you build and deploy production-grade AI applications with the OpenVINO™ Toolkit from Intel
https://github.com/openvinotoolkit/openvino_build_deploy
Last synced: 12 months ago
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Pre-built components and code samples to help you build and deploy production-grade AI applications with the OpenVINO™ Toolkit from Intel
- Host: GitHub
- URL: https://github.com/openvinotoolkit/openvino_build_deploy
- Owner: openvinotoolkit
- License: apache-2.0
- Created: 2024-05-21T13:27:45.000Z (about 2 years ago)
- Default Branch: master
- Last Pushed: 2025-07-01T14:57:57.000Z (12 months ago)
- Last Synced: 2025-07-01T15:50:22.402Z (12 months ago)
- Language: Jupyter Notebook
- Size: 61.1 MB
- Stars: 158
- Watchers: 10
- Forks: 68
- Open Issues: 8
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
- Security: SECURITY.md
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README
# Build and Deploy AI Solutions with the OpenVINO™ Toolkit
[](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).
### [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, 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!
| | |
|---|---|
|[](https://www.linkedin.com/in/raymondlo84/)|[](https://www.linkedin.com/in/adrianboguszewski/)|
|**[Raymond Lo](https://www.linkedin.com/in/raymondlo84/)**
Global Lead
(Santa Clara – HQ, California)
PhD in Computer Engineering
9+ 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|
|[](https://www.linkedin.com/in/anisha-uday/)|[](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|
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