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Self-Hosted AI is pretty darn cool (lemmy.world)
submitted 3 months ago by chagall@lemmy.world to c/selfhosted@lemmy.world
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I don't consider myself very technical. I've never taken a computer science course and don't know python. I've learned some things like Linux, the command line, docker and networking/pfSense because I value my privacy. My point is that anyone can do this, even if you aren't technical.

I tried both LM Studio and Ollama. I prefer Ollama. Then you download models and use them to have your own private, personal GPT. I access it both on my local machine through the command line but I also installed Open WebUI in a docker container so I can access it on any device on my local network (I don't expose services to the internet).

Having a private ai/gpt is pretty cool. You can download and test new models. And it is private. Yes, there are ethical concerns about how the model got the training. I'm not minimizing those concerns. But if you want your own AI/GPT assistant, give it a try. I set it up in a couple of hours, and as I said... I'm not even that technical.

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[-] CallMeButtLove@lemmy.world 4 points 3 months ago

Is there a way to host an LLM in a docker container on my home server but still leverage the GPU on my main PC?

[-] azl@lemmy.sdf.org 3 points 3 months ago

You would need to run the LLM on the system that has the GPU (your main PC). The front-end (typically a WebUI) could run in a docker container and make API calls to your LLM system. Unfortunately that requires the model to always be loaded in the VRAM on your main PC, severely reducing what you can do with that computer, GPU-wise.

this post was submitted on 09 Aug 2024
261 points (93.6% liked)

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