Microsoft has officially launched Windows ML for general production use, marking a major step forward in bringing AI capabilities directly to Windows applications. The platform is now available on all devices running Windows 11 24H2 or later, offering developers a robust framework for integrating AI features into their apps with local, on-device inference. According to Microsoft, Windows ML acts as a hardware abstraction layer that enables AI workloads to run efficiently across different types of PC hardware. Silicon partners develop and maintain execution providers—optimized components that allow Windows ML to leverage specific hardware, such as GPUs for high-performance tasks, NPUs for energy-efficient processing, and CPUs for versatile workloads. This approach ensures developers can build AI-powered applications that automatically tap into the most suitable hardware, delivering better performance, responsiveness, and privacy. The platform has been in development for several years, first introduced in 2018 as part of Windows 10. Since then, Microsoft has refined it through extensive testing and collaboration with key software developers. Companies like Adobe, McAfee, and Topaz Labs have already begun integrating Windows ML into their upcoming software releases, helping shape its evolution. Adobe plans to use Windows ML in its Premiere Pro and After Effects to power features like semantic search, audio tagging, and scene edit detection—functions that rely on local AI processing for faster, more accurate results. McAfee is leveraging the platform to enhance its security tools, enabling real-time detection of deepfake videos and online scams. Meanwhile, Topaz Labs has used Windows ML to develop advanced AI-driven image enhancement tools in Topaz Photo, delivering high-quality results without relying on cloud services. By enabling AI features to run locally, Windows ML helps reduce latency, protect user privacy, and lower operational costs—key advantages for both developers and end users. Microsoft hopes this push will inspire a wave of new AI-powered applications across the Windows ecosystem, strengthening the platform’s appeal and encouraging broader adoption.