// Section 1.1 · Concepts
What ParalleliX Is
Orientation
// 1.1 · orientation
// Definition
A decentralised parallel-compute network.
Idle GPU and CPU capacity from independent operators worldwide, pooled. The live demand is ParalleliX AI: each inference request is dispatched whole to a capable node, with many requests running in parallel across the pool. Genuinely parallelizable workloads can also be segmented into sub-tasks and aggregated. That is the whole verb.
// Queue vs fan-out · two models
// centralised cloud
Queue model
One job lands on one box. Throughput is capped at the rented instance. Cost scales with rental time, not work done.
// one job · one box · one ceiling
// parallelix
Fan-out model
Each request routes to a capable node and runs whole. Many requests dispatch in parallel across the mesh. Throughput scales with the count of online nodes, not the instance.
// request · mesh · ceiling moves
The point lives in the contrast. The unit of work is the request, not the box, so capacity grows by adding nodes rather than by renting a larger instance.