Decentralized inference layer

PIXOL creates demand for protocol-based inference infrastructure.

The inference protocol provides provider discovery, hardware capabilities, workload routing, execution, availability, and network-level reputation. PIXOL adds an AI media marketplace on top.

PIXOL users Demand PIXOL marketplace Tasks Model + inference offer Offers Inference protocol Routing GPU compute Media

Complementary, not duplicated.

PIXOL does not need to create a second independent DePIN. It focuses on user interface, model discovery, executable offer discovery, media workflows, task payments, and creator monetization.

The inference protocol remains the decentralized execution layer. More PIXOL usage means more media workloads and more demand for decentralized inference.

Local plus decentralized.

Users with capable hardware can generate locally. Users who need more capacity can purchase decentralized execution from protocol providers that offer both the selected model and inference capacity.

Local mode

Local inference can provide privacy, lower latency, hardware sovereignty, offline capability, and zero external compute fees.

Decentralized mode

PIXOL queries executable offers, the user selects one, the inference protocol coordinates execution, and the result returns to the user.