Last Updated on February 13, 2026
Looking for a Microsoft Copilot alternative without recurring inference costs? You might consider utilizing Xinference in combination with LLMs directly within Microsoft Word. Xinference is a robust and adaptable library designed for deploying and serving AI models across various domains, including natural language processing and multimodal tasks. This versatile tool enables the effortless deployment of both custom or state-of-the-art built-in models with just one command, making it an excellent resource for researchers, developers, and data scientists eager to leverage advanced AI capabilities.
📖 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 Xinference can be integrated within Microsoft Word on your local machine without incurring recurring costs. For more examples, you are invited to explore 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.