AI and compute

This category gathers networks that try to price decentralized AI resources: GPU rendering, model inference, training data, predictions. The economic backdrop is attractive because real compute markets are large and concentrated, but the challenge is the same in every case: proving that the decentralized market produces output comparable to a centralized provider's, at a price that justifies the protocol's extra friction. The AI narrative moves capital quickly; the fundamentals of these tokens move far slower.

What to compare: Ask who actually buys the network's output and at what price, how much demand comes from token subsidies, and whether running a node or miner leaves margin without emissions.