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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

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Build and Deploy AI Solutions with the OpenVINO™ Toolkit

Apache License Version 2.0

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

Edge AI Reference 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.

Each Edge AI Reference Kit includes:

  • Detailed documentation
  • Pre-configured demos
  • Code samples to seamlessly integrate AI functionalities into your projects.

Interactive Demos: End-to-end Examples w/ Simple Setup

This directory contains interactive demos aimed at demonstrating how OpenVINO performs as an AI optimization and inference engine (cloud, client, and edge).

Workshops: Guided Content to Get Started Building

Explored guided content our team created and demonstrated at events.

Wiki: Step-by-step Instructions

Explore instructions on setup for the AI PC, including performance monitoring 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.

OpenVINO Medium Blog

To read about the latest details and updates on OpenVINO toolkit, visit our blog.

Contribute

If you want to contribute to OpenVINO toolkit, please read this article.

Troubleshooting and Resources

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 ria paula
Raymond Lo
Global Lead
(Santa Clara – HQ, California)

PhD in Computer Engineering
9+ Years as Entrepreneur Executive & Evangelist
Ria Cheruvu
Ria AI Software Architect
(Tempe, Arizona)

MSc in Data Science
5+ Years as AI SW Lead Architect & Research Engineer
Paula Ramos
Computer Vision Scientist
(Raleigh, NC)

PhD in Engineering
17+ Years of Experience as a Researcher
adrian anisha zhuo
Adrian Boguszewski
Deep Learning Expert
(Warsaw, Poland)

MSc in Computer Science
5+ years as DL Engineer
Anisha Udayakumar
Anisha AI Innovation Consultant
(Bengaluru, India)

BTech in Civil Engineering
5+ years as a Innovation Consultant
Zhuo Wu
Professor and Research Scientist
(Shanghai, China)

PhD in Electronics
15+ Years as a Researcher and Professor
dmitriy
Dmitriy Pastushenkov​
AI PC Evangelist
(Bavaria, Germany)

MSc in Computer Science
20+ years as a Software Engineer and Architect, Technical Manager

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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

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