Centralized cloud infrastructure prices compute through fixed abstractions. Users pay for virtualized resources layered on top of massive internal economies of scale.

The result is stable pricing structures, but not necessarily efficient pricing relative to real supply and demand at the edge.

Cost reductions happen internally, not transparently.

@Fluence replaces that model with a distributed supply market. Compute is sourced from independent operators competing to provide resources.

Pricing emerges from competition rather than internal allocation.

This shifts cost formation closer to marginal supply, where idle hardware and regional price differences can be directly expressed in the market.

Compared to AWS or similar hyperscale clouds, the key difference is opacity versus exposure.

Centralized pricing hides infrastructure variance behind standardized tiers. Fluence exposes it, allowing pricing to reflect real-time availability and operator economics.

The constraint is stability. Centralized clouds optimize for predictable billing and guaranteed capacity.

Decentralized pricing must match that reliability without reintroducing hidden central coordination.