Comment by imcritic
16 hours ago
Splitting a big task (like anything ML-related) into a set of smaller ones and distribute them across the "fleet" of workers. Then reap the results, stitching it back into a single artifact at the end. This could be commercially viable. This could even become a p2p platform/market where some people basically buy computation while the others offer their hardware for temporary rent to earn a few bucks. You become the coordinator that just connects the demand with the supply and become rich from just commissions alone.
Absolutely! What's _really_ cool is that if you have disjoint computational steps that don't necessarily scale together linearly, you could split them into separately deployed `pln seeds` and let the cluster organically balance the compute as the different usage patterns occur. And yes, "p2p compute on demand" is certainly an intriguing idea.