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.
Start development of your AI applications, including deep learning and Gen AI, on top of our code samples, conference demos, and here.
Each AI Reference Kit includes:
This directory contains interactive demos aimed at demonstrating how OpenVINO performs as an AI optimization and inference engine (cloud, client, and edge).
Notebooks: Jupyter Notebooks with OpenVINO codeExplore Jupyter notebooks that demonstrate how to use OpenVINO to build and deploy AI solutions.
Workshops: Guided Content to Get Started BuildingExplored guided content our team created and demonstrated at events.
Wiki: Step-by-step InstructionsExplore instructions on setup for the AI PC, including performance monitoring and more.
OpenVINO Jupyter NotebooksUse our Jupyter notebooks to jump-start your projects and apps, which can be found in this repository.
To read about the latest details and updates on OpenVINO toolkit, visit our blog.
If you want to contribute to OpenVINO toolkit, please read this article.
Troubleshooting and ResourcesHello, 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!
Raymond LoPhD in Computer Engineering
MSc in Computer Science
BTech in Civil Engineering
PhD in Electronics
MSc in Data Science
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