Hi all, I’d like to hear some suggestions on self hosting LLMs on a remote server, and accessing said LLM via a client app or a convenient website. Either hear about your setups or products you got good impression on.

I’ve hosted Ollama before but I don’t think it’s intented for remote use. On the other hand I’m not really an expert and maybe there’s other things to do like add-ons.

Thanks in advance!

  • hendrik@palaver.p3x.de
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    28 days ago

    Well, there’s both. I’m with runpod and they bill me for each second I run that cloud instance. I can have it running 24/7 or 30min on-demand or just 20 seconds if I want to generate just one reply/image. Behind the curtains, it’s Docker containers. And one of the services is an API that you can hook into. Upon request, it’ll start a container, do the compute and at your option either shut down immediately, meaning you’d have payed like 2ct for that single request. Or listen for more requests until an arbitrary timeout is reached. Other services offer similar things. Or a fixed price per ingested or generated token with some other (ready-made) services.

      • hendrik@palaver.p3x.de
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        28 days ago

        What’s the difference regarding this task? You can rent it 24/7 as a crude webserver. Or run a Linux desktop inside. Pretty much everything you could do with other kinds of servers. I don’t think the exact technology matters. It could be a VPS, virtualized with KVM, or a container. And for AI workloads, these containers have several advantages. Like you can spin them up within seconds. Scale them etc. I mean you’re right. This isn’t a bare-metal server that you’re renting. But I think it aligns well with OP’s requirements?!

          • ddh@lemmy.sdf.org
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            24 days ago

            Running an LLM can certainly be an on-demand service. Apart from training, which I don’t think we are discussing, GPU compute is only used while responding to prompts.