GPU cost is the choke point for AI infra right now and most people don’t realize how bad it is until they try to build. 80% of AI startups naming compute cost as the top blocker? That’s not a stat, that’s a red flag. Spheron’s model makes sense: turn underutilized hardware into an open marketplace, use on-chain mechanics for trust and incentives, and undercut AWS by 90%+. It’s lean, modular, and crypto-native. And this isn’t just for training big models: think agent compute, validator hosting, rendering, dapp infra. The use cases are real, and they scale horizontally. Feels like the first serious attempt at fixing the compute bottleneck from the ground up. Also... $SPON TGE is coming mid-July. One to keep a close eye on!