Is it possible? Let's say Alice has 2 GPUs idle at the moment, Ben has 1 GPU, and Chris needs 3 GPUs for the next 12 hours. How to build such a system, and what problems there might occur? How to handle turning off one's machine? Does it even make sense to run training or inference on such (latency)?
Ask HN: How to build GPU compute marketplace?
1–5 of 5 posts
Re: Ask HN: How to build GPU compute marketplace?
#2There is already some like this including vast dot ai.
Re: Ask HN: How to build GPU compute marketplace?
#3There is already some like this including vast dot ai.
Yeah, but how does it work exactly? Dropbox is rsync with UI, Instagram is a blog with pictures, but this?
How to access one’s compute? Overriding GPU drivers?
Re: Ask HN: How to build GPU compute marketplace?
#4More task specific compute pools (like Stable Horde) make lots of sense where applicable.
Re: Ask HN: How to build GPU compute marketplace?
#5There is already some like this including vast dot ai.
Yeah, but how does it work exactly? Dropbox is rsync with UI, Instagram is a blog with pictures, but this? How to access one’s compute? Overriding GPU drivers?
It's just a remote docker context on a machine with the nvidia driver and container runtime already installed that you rent by the hour.