Microsoft opens the doors to more AI-powered Windows apps with the official rollout of Windows ML, its machine learning platform designed for developers. The move signals a major step toward making Windows 11 a hub for smarter, faster, and more private AI experiences.
Windows ML is now generally available for production use on devices running Windows 11 24H2 or newer. With this release, developers can easily integrate AI into their apps, unlocking features that run locally on a PC’s CPU, GPU, or NPU. This ensures better performance, efficiency, and privacy without relying entirely on cloud services.
Microsoft describes Windows ML as a framework that abstracts hardware complexity. Simply put, it identifies the best processor for each AI workload—whether that’s the GPU for demanding tasks, the NPU for power-efficient performance, or the CPU for general flexibility.
By opening the doors to more AI-powered Windows apps, Microsoft is helping developers deliver tools that are not just smarter but also more responsive. Local AI inference means apps can handle complex workloads while keeping sensitive data private, an increasingly important factor for users.
Tech giants and software makers like Adobe, McAfee, and Topaz Labs are already testing and adopting Windows ML for their upcoming releases. This could lead to AI-powered photo editing, security tools, and productivity apps that feel faster and more intuitive than before.
Windows ML isn’t brand-new—it first appeared in 2018 for Windows 10. However, its transition to Windows 11 24H2 and beyond shows Microsoft’s broader AI push across its ecosystem. With NPUs now appearing in modern PCs, the timing is right for Windows ML to power the next generation of intelligent apps.
As Microsoft opens the doors to more AI-powered Windows apps, it’s clear that the company sees AI as central to the Windows experience. By giving developers the tools to build AI-native software, Microsoft is laying the groundwork for a future where everyday apps—from creative suites to productivity tools—run smarter, faster, and more privately on local devices.
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