this post was submitted on 28 Nov 2024
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Runpod is a container service. OP asked about remote server.
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?!
Well I think the difference is what they asked about.
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.