Mesh LLM: distributed AI computing on iroh
30 points by tionis 2 hours ago | 10 comments
jmercouris 2 hours ago
I thought about this too, but the throughput over a network is incredibly slow. It’s not usable for interactive use.
replydarkpicnic 36 minutes ago
Does Mesh LLM encrypt the payload between nodes? Is it possible to read requests from other users?
replydarkpicnic 52 minutes ago
cocompute.ai is already doing this really well.
replySwellJoe 49 minutes ago
Is it? I don't see anything on the website about splitting a model across multiple devices, only about putting local models on the internet, a wholly orthogonal problem (which is already easy with existing tools, since models use an http API).
replydarkpicnic 43 minutes ago
Good point. I know cocompute is working on splitting, but it’s not there yet; I was referring to the round-robin delegation within a trusted pool. Mesh LLM looks great too!
replyturtleyacht 2 hours ago
It sounds like iroh enables distributed compute without having to finangle custom hardware.
reply
Are we talking 1 token per second for a split model? Less?
Edit: Found a number. On the models list, Qwen 235B A22B says "MoE 235B/22B, proven at 16 tok/s across 2 nodes". They don't say what the nodes are and what network connection they have, but that's a respectable speed. Not quite comfortable for interactive use, but pretty close.