- find a free GPU droplet on digital ocean
- fire it up
- pull in a snapshot of the model + extra files/packages etc
- set up a ssh tunnel so that the localhost:8000 routes to the above
Then I just configured OpenCode to use the above and was off to the races.
Works out to be about ~$2/hr all said and done which isn't bad as I only pay when I'm using it (but could get expensive with 24/7 running)
I actually dislike LLMs. But I'm a realist, and on-demand compute like this is massive cost saving measure.
(persistent drives are relatively cheap, compared to a box with several GPUs.. or even one. I find it worth the expense)
Going to try this out vs the snapshot!
I also really like this experiment b/c it's a mix of LLMs and old school IaaC/DevOps.
What GPU you end up with for that price? Vast.ai (https://cloud.vast.ai/?priceInstanceHourlyMax=2) has a bunch of setups available to reach 192GB VRAM under $2 :) Quick skim showed 4x48, 2x96 and 8x24, all for under 2 buckaroos or around there.
And yeah, did a lot of work with Vast AI at a past job and it's pretty wild the variety of prices/hardware that they have.
That's cool, what actual GPU though? I'm still curious :P
It's where you don't know the end state you're looking for that you'll end up generating slop on top of slop and creating a whole Gastown just to power your Gastown.