Last Updated on February 13, 2026
Microsoft Copilot has demonstrated the power of AI-assisted writing, but for many professionals, a cloud-based model presents unnecessary privacy risks and recurring costs. As part of a specialized local AI infrastructure, OpenLLM offers a flexible, professional-grade alternative for integrating AI directly into Microsoft Word.
OpenLLM lets you easily use both open-source and custom models through OpenAI-compatible APIs with just one command. It includes a ready-to-use chat UI, advanced inference technology, and makes it simple to set up enterprise-level cloud deployments using tools like Docker, Kubernetes, and BentoCloud.
📖 Part of the Local AI Infrastructure Guide This post is a deep-dive cluster page within our Local AI Infrastructure Guide—your definitive roadmap to building a private, high-performance AI stack.
See it in Action
Here’s a quick demonstration of how it works using OpenLLM within Microsoft Word locally — and all without recurring inference costs. For further examples, visit our video library at @GPTLocalhost!
Infrastructure in Action: The Local Advantage
Setting up your local AI infrastructure is the first step; the second is putting it to work. Running models locally via GPTLocalhost turns your infrastructure into a professional drafting tool with three key advantages:
- Data Sovereignty: Your sensitive documents never leave your local drive, ensuring 100% privacy and compliance.
- Hardware Optimization: Leverage the full power of your GPU or Apple Silicon for low-latency, high-performance drafting.
- Air-Gapped Reliability: Work anywhere—including high-security environments or even on a plane ✈️—with no internet required.