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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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[-] HumanPerson@sh.itjust.works 15 points 3 months ago

Yeah, I like it too. My only issue is ollama's lack of intel support. I have been looking at issue 1590 on their GitHub. For now I have a 1050ti in a cardboard box PC with other hardware being 10+ years old and a mixed set of RAM totalling 12G. It also has a 100Mbit nic, so I can't take advantage of full internet speed when downloading models. The worst part is they can support intel, but haven't merged the solution because of an issue with the windows intel drivers. Linux is fine but I can 't have it. I wasn't planning to rant, but I already typed it so... enjoy?

[-] chagall@lemmy.world 11 points 3 months ago* (last edited 3 months ago)

Yeah, I have an NVDIA GPU and it is magic. The best part is when you are using Ollama, open a second terminal window and enter the command, watch -n 0.5 nvidia-smi and you can see your GPU usage go up and down in real-time as you ask the GPT questions. Pretty cool.

Hopefully they get the ARC folks up and running soon.

[-] BlueKey@kbin.run 3 points 3 months ago

You can also achieve this with nvtop and have a pretty TUI (terminal UI).

[-] klopstock@lemmy.specksick.com 3 points 3 months ago* (last edited 3 months ago)

There is ipex-llm from Intel which you can use with your intel IGPU/GPU/CPU for llms which also supports ollama.

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

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