Selfhosted

39200 readers

283 users here now

A place to share alternatives to popular online services that can be self-hosted without giving up privacy or locking you into a service you don't control.

Rules:

Be civil: we're here to support and learn from one another. Insults won't be tolerated. Flame wars are frowned upon.
No spam posting.
Posts have to be centered around self-hosting. There are other communities for discussing hardware or home computing. If it's not obvious why your post topic revolves around selfhosting, please include details to make it clear.
Don't duplicate the full text of your blog or github here. Just post the link for folks to click.
Submission headline should match the article title (don’t cherry-pick information from the title to fit your agenda).
No trolling.

Resources:

Any issues on the community? Report it using the report flag.

Questions? DM the mods!

founded 1 year ago

MODERATORS

[email protected]

260

Self-Hosted AI is pretty darn cool (lemmy.world)

submitted 1 month ago by [email protected] to c/[email protected]

67 comments fedilink hide all child comments

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.

you are viewing a single comment's thread
view the rest of the comments

[–] [email protected] 15 points 1 month ago (2 children)

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?

[–] [email protected] 3 points 1 month ago* (last edited 1 month ago)

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

[–] [email protected] 11 points 1 month ago* (last edited 1 month ago) (1 children)

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.

[–] [email protected] 3 points 1 month ago

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