In this blog, you'll learn best practices for running a self-hosted AI server with FileMaker 2025, including: Hardware and GPU recommendations. Key pitfalls to avoid when deploying production-ready large language models (LLMs). Instead of depending on cloud APIs, you can bring the intelligence directly onto your own hardware, which unlocks: Improved privacy and security: With locally hosted AI, your data never. Building and setting up your very own high-performance local AI server offers a fantastic solution to this. Enabling you to tailor your server to your budget as well as keep all your responses, data and AI models secure and private using open source software. Whether you're integrating text generation, text embedding, or image embedding models, self-hosting gives you full control over performance, cost, and data security—no cloud dependency required. In this. AI Server can be configured in several ways: install. Tailscale creates a private, encrypted network between all your devices, so your phone, your laptop, and your server all think they are on the same local network, even when they are not. Your server never touches the public internet, and nothing is exposed that.