Introduction
AI is rapidly shifting from a cloud-first experience to a hybrid model where intelligence runs wherever it makes the most sense. In this module, you’ll use AI Dev Gallery (Preview) to install, explore, and run local AI samples on a Copilot+ PC, including demos that showcase text generation and image classification. These hands-on experiences help demonstrate how Foundry on Windows enables responsive, on-device AI workloads that reduce cloud dependency and make local AI easier to explain to partners and customers.
This opportunity is amplified by Copilot+ PCs, which introduce dedicated AI hardware on the Neural Processing Unit (NPU) built to run advanced AI workloads directly on the device. Foundry on Windows allows developers and organizations to take full advantage of these capabilities, supporting responsive and personalized AI experiences for supported workloads, while reducing reliance on cloud resources where local models and APIs are used.
With Microsoft’s goal to deliver unmetered intelligence to every desk and every home—making AI more accessible by reducing dependence on consumption-based cloud processing. By bringing intelligence to the endpoint, organizations can scale AI experiences across every Copilot+ PC, transforming AI from a metered service into an always-available capability embedded within the Windows platform.
Note
This module is designed for learners looking to build a foundational understanding of Foundry on Windows and its role in enabling AI experiences on Copilot+ PCs. Through practical guidance and an end-to-end demo, you'll learn how to set up, run, and showcase local AI scenarios that bring Microsoft's vision of Unmetered Intelligence to life.
In this module, you’ll learn how to access, use, and showcase AI Dev Gallery (Preview) as it exemplifies on-device NPU use cases and models utilizing Foundry on Windows.