Local AI on Windows 11: Privacy and Offline Performance

Published on January 07, 2026 | Translated from Spanish
Illustrative diagram of Windows 11 running AI models locally, showing data flow between NPU, GPU, and CPU, with emphasis on security and offline processing.

Local Artificial Intelligence in Windows 11: Privacy and Offline Performance

The latest version of Microsoft's operating system incorporates advanced AI capabilities that work completely on the device, allowing users to generate, rewrite, and summarize text without relying on cloud services. This innovation makes the most of available hardware, including NPU, GPU, and CPU, to offer a fast and secure experience. 🚀

Development Tools for Implementing Native AI

Microsoft has made two key tools available to developers: Windows AI Foundry and Windows ML. The first provides a comprehensive environment for creating and deploying AI models optimized for Windows, while the second facilitates the execution of pre-trained models directly on the device. These solutions enable the development of applications that work offline, ideal for real-time tasks or handling confidential information. 💻

Main features of the tools:
  • Complete development environment for AI optimized on Windows
  • Local inference of pre-trained models without internet required
  • Compatibility with applications requiring real-time processing and handling of sensitive data
The ability to run AI models locally represents a significant advancement in terms of privacy and efficiency.

Key Benefits of Local Processing in Windows 11

Running artificial intelligence models directly on the device offers notable advantages in privacy and performance. Users can generate content, modify documents, or create summaries without worrying about their data security, as all information remains on their device. Additionally, the intelligent distribution of workload between NPU, GPU, and CPU ensures an optimal balance between speed and energy consumption. 🔒

Highlighted advantages:
  • Completely local processing that eliminates privacy risks
  • Efficient task distribution between NPU, GPU, and CPU
  • Greater response speed and adaptability to different usage scenarios

The Future of Personal and Private AI

With these capabilities, users can write and process text in a completely private manner, without even Microsoft having access to their contents. All AI activity occurs between the device and the user, marking a milestone in secure personal computing and opening new possibilities for applications that require absolute confidentiality. ✨