Last Updated on February 13, 2026
Looking for a Microsoft Copilot alternative without recurring inference costs? Consider using llama.cpp with local LLMs directly within Microsoft Word. Llama.cpp is designed to facilitate LLM inference with minimal setup while delivering state-of-the-art performance across diverse hardware platforms, both locally and in the cloud. Its standout features include: Plain C/C++ implementation without any dependencies, Apple silicon is a first-class citizen and optimized via, Custom CUDA kernels for running LLMs on NVIDIA GPUs, CPU+GPU hybrid inference to partially accelerate models larger than the total VRAM capacity, etc.
📖 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
To see how easily llama.cpp can be integrated into Microsoft Word without incurring additional costs, check out this demonstration video. For more 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.