i was blown away when we built our own
local llm inference setup using just an open-source broker called llmesh. took us less time to set up the backend and frontend on different machines compared to debugging one monolithic app.
its like having a shared compute pool - run any model across your network with ease, all thru that single api endpoint! no more worrying about scaling or compatibility issues.
we threw together this
model arena in under 30 mins just as proof of concept: same code running on my laptop for testing locally. then it worked smooth when we deployed to a team server and even production without changing smth!
so if youre building smth similar, dont focus so much on the app - spend that time getting your infrastructure right first!
it's not about fancy tools or cutting-edge tech - sometimes simplicity is key.
anyone tried this out yet? share ur thoughts below.
more here:
https://hackernoon.com/we-built-a-local-model-arena-in-30-minutes-infrastructure-mattered-more-than-the-app?source=rss