OpenVINO™ DevCon is Back!

Watch this On-Demand workshop series to learn how to optimize your AI applications.  

  • Stay up-to-date with the latest trends in AI development
  • Put your knowledge into action with sample code applicable to your own solutions
  • Get direct insights from knowledgeable speakers

New to OpenVINO?

  • Date
    Name
  • On Demand
    OpenVINO™ 2023.1 – Discover What's New

    OpenVINO™ 2023.1 – Discover What's New

    OpenVINO™ toolkit's newest release, 2023.1, is here! Join to discover the new changes in our latest release of OpenVINO. We will explain some of the significant improvements on generative AI and LLM models, together with CPUs, GPUs, and more! Did you know today you can run Llama2 on your laptop with only CPUs using OpenVINO’s optimization? Join in to learn more and hear how Intel is doing in this fast-changing world of AI.

    What you’ll learn:

    • How to run LLMs model on OpenVINO on both CPUs and GPUs
    • Learn more about how we optimize and fixed some of the leading issues in generative AI
    • How Gen AI is different from ML and what problems we are facing
    • Tips and tricks using iGPU and GPUs for generative AI! See potential gains with Stable Diffusion from the software updates
  • On Demand
    Harness Generative AI Acceleration with OpenVINO™ Toolkit

    Harness Generative AI Acceleration with OpenVINO™ Toolkit

    Generative AI is exploding, bringing potential AI applications that could change everything we do. In this workshop, we'll delve into the world of transformer models, including Stable Diffusions and text processing, as well as explore how we've optimized these models to run on Intel’s wide variety of hardware. We'll also take a look at Jupyter Notebook tutorials that you can run on your own machine, providing you with hands-on experience with these powerful tools.

  • On Demand
    Beyond the Continuum: The Importance of Quantization in Deep Learning

    Beyond the Continuum: The Importance of Quantization in Deep Learning

    Quantization is a valuable process in Deep Learning of mapping continuous values to a smaller set of discrete finite values. In this talk, we will explore the different types of quantization techniques that can be applied to deep learning models. In addition, we will give an overview of the Neural Network Compression Framework (NNCF) and how it complements the OpenVINO™ Toolkit to achieve outstanding performance.

  • On Demand
    How To Build a Smart Queue Management System Step by Step? From Zero to Hero

    How To Build a Smart Queue Management System Step by Step? From Zero to Hero

    Join us for a step-by-step tutorial on how to create an intelligent retail queue management system using the OpenVINO™ toolkit and YOLOv8. We'll walk you through the process of integrating these powerful open-source tools to develop an end-to-end solution that can be deployed in retail checkout environments. By the end of the presentation, you'll have the knowledge and resources to build your own solution.

What is OpenVINO™ toolkit?

OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference.


  • Boost deep learning performance in computer vision, automatic speech recognition, natural language processing and other common tasks
  • Use models trained with popular frameworks like TensorFlow, PyTorch and more
  • Reduce resource demands and efficiently deploy on a range of Intel® platforms from edge to cloud

Get started:


  • Learn more about OpenVINO at openvino.ai
  • Download the latest Intel® Distribution of OpenVINO™ toolkit
  • Explore the OpenVINO™ toolkit Github repository; Jupyter Notebooks, Training Extensions, Models, and more…