Unlock the Power of AI on Your Laptop: OpenVINO™ & The New Intel AI PC

OpenVINO™ toolkit
OpenVINO-toolkit
Published in
4 min readMay 1, 2024

Author: Paula Ramos, AI Evangelist at Intel

With the new technology arriving at our doorstep, it is impossible to resist testing it out. Take the new AI PC powered by Intel, for example. Whether you are a seasoned developer or a newbie just starting in the world of AI, you want to take advantage of the new AI PC features like improved collaboration, productivity, and creativity — but it’s not always clear how to get started.

Getting started with AI and OpenVINO™

I always recommend beginning with OpenVINO™ Notebooks. For new developers, it’s a great place to start your AI journey, stay up to date on the latest trends, and master OpenVINO — Intel’s open-source AI toolkit designed to accelerate the development of high-performance computer vision and deep learning applications.

Before joining Intel, I was an early adopter of OpenVINO and found it incredibly useful in my AI research. What makes OpenVINO special is its ability to optimize workloads across Intel® hardware and accelerators, ensuring maximum performance.

Developers can leverage the OpenVINO Notebooks repository to gain access to a set of Jupyter notebooks designed to help developers understand how to build, deploy, and optimize AI models through real-world examples.

Covering classical AI models to the most recent trends, the repository provides step-by-step instructions and explanations on how to use the OpenVINO toolkit.

The best place to get started in the repository is through the Hello series, with a set of classical AI examples, including classification, detection, and segmentation. In addition, you’ll find the latest AI techniques in these areas such as the YOLO series or Segment Anything Model.

We also have a lot of examples around optimization and quantization, where developers can experiment with the speed of running quantized models on the CPU or Intel discrete GPU in their laptop.

Even if you are an experienced developer, the OpenVINO Notebooks repository offers a wealth of knowledge and examples on how to optimize your models across different Intel hardware. You can become an active member of the OpenVINO community by sharing your own knowledge and expertise as well as contributing any useful examples and notebooks. Your contributions will not only enhance the repository but also benefit fellow developers who are exploring OpenVINO’s capabilities.

Unlocking the Benefits of OpenVINO Notebooks with the New AI PC

When it comes to using OpenVINO with the new AI PC powered by Intel, you’ll experience remarkable AI advancements. For instance, I’ve observed speeds of 400 FPS for object detection using Auto Plugin and 150 FPS for human action detection with a visual transformer.

In addition, there are three main benefits of the AI PC and OpenVINO:

  • High performance: The AI PC’s high throughput ensures your AI models run faster and more efficiently. This is especially beneficial for complex models that demand significant computational power.
  • Energy efficiency: With its low power consumption, the AI PC enables you to run your AI models without depleting your resources.
  • Versatility: The OpenVINO Notebooks repository includes a wide range of examples — from simple image classification tasks to more complex tasks such as object detection and semantic segmentation. You can run all these notebooks on the AI PC, taking advantage of its powerful hardware.

As you can see, OpenVINO is a powerful tool in the AI developer’s toolkit. Its versatility, performance, and broad hardware support make it a standout choice for developing and deploying AI models. Whether you’re a new developer looking to get your feet wet in AI, or an experienced developer looking for a way to improve your models, OpenVINO has something to offer you. And with the OpenVINO Notebooks repository and the new AI PC, developers have powerful tools to help optimize these models and explore many opportunities.

About Paula Ramos

Paula is an AI Evangelist at Intel. She has been an AI enthusiast and has worked in the computer vision field since the early 2000s. Follow her on Medium for more insights.

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Your costs and results may vary.

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OpenVINO™ toolkit
OpenVINO-toolkit

Deploy high-performance deep learning productively from edge to cloud with the OpenVINO™ toolkit.