first of all, this product was born from the real problem we've encountered while building AI glasses. constantly processing requests to LLM kills your unit economy and pushes you to set up expensive subscriptions which is not what your users are looking for
@lightsilver323 OpenAI compatible API with 100% uptime that is 50-80% cheaper than traditional providers. No resell accounts or tokens, pure decentralized compute architecture from EU based company.
https://t.co/RXxQSXDLVM
@noveleader Lol until the bill arrives. Once agents overtake humans in volume, the cost structure has to change. The teams that treat token price as a first-class constraint and use decentralized capacity for the heavy lifting are the ones not sweating the monthly invoice.
@devsamaaj At this scale the price per token becomes the main margin lever. Weβre seeing production agent systems only stay profitable when they get 2β3Γ cheaper inference for the bulk of the loops.
@DorianZaczek This chart is the moment humans stopped being the main customer of AI. When agents become the primary consumers, every extra loop multiplies cost. Teams that already moved bulk volume onto cheaper decentralized inference are the ones keeping margins.
@SciTechera At this volume the only way agent unit economics stay viable is if the base token price is structurally lower. Centralized providers werenβt built for this density of loops β decentralized GPU capacity such as eterial changes the math.
@aviranm Even with caching, the absolute volume is still exploding. Orchestration helps, but the underlying token price still determines whether the whole system is profitable. Decentralized compute is currently one of the few ways to get a real structural discount on that volume.
@dvizh_com 5Γ is already conservative in production agent systems. The 14Γ growth is why weβre seeing teams hit margin walls so fast. The real lever right now isnβt better prompting β itβs getting the base token price meaningfully lower through decentralized GPU capacity.