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[Steven12]

I've been really impressed with the progress of open source software for managing local AI models on a home server. I'm specifically trying to set up a private, offline-capable assistant using Ollama and a few specialized models on my older Dell PowerEdge server, which has about 32GB of RAM. The setup works, but I'm running into practical issues with making it a stable, always-on service that my whole household can access reliably without constant terminal tinkering. For those running similar setups, what's your go-to method for deployment and access—are you using Docker containers, a dedicated web UI like Open WebUI, or something else entirely? How do you handle model updates and memory management when switching between different AI tasks, and have you found a good way to create simple, family-friendly interfaces for non-technical users?