For compute buyers
Distributed capacity. One predictable way to reach it.
Rutli is building a compute layer that lets developers and organisations access capacity made available by independently owned machines without forcing the buyer to coordinate those machines manually.
PLANNED
You need compute. You do not need a sociology project.
The network may be distributed. Your workflow should not feel chaotic. Rutli's job is to make participant-owned capacity usable through a coherent interface with understandable terms.
Different owners underneath. One interface on top.
- workload classes
- hardware capabilities
- pricing
- metering
- job status
- policy constraints
- geographic options where supported
- reliability expectations
One network. Different kinds of supply.
That diversity is useful only if the coordination layer can tell workloads where they actually belong.
Heterogeneous infrastructure needs disciplined orchestration.
- consumer GPUs
- creator workstations
- office systems
- private servers
- professional workstations
- regional clusters
- institutional infrastructure
A real economy needs buyers.
Node owners can bring supply. Businesses and developers bring demand. That demand is what turns spare hardware from "interesting capacity" into economic infrastructure.
No buyers, no network economy. That part is not optional.
Some nodes bring compute. Some applications need it. Rutli is building both sides. PLANNED
Private application data is not automatically a network workload.
A company can run sensitive local applications on its own node. That does not mean the application's private data is automatically distributed to third-party machines. External network workloads must be separately authorised and designed for that execution environment. This distinction matters more than the word "decentralised".
Pricing should be understandable.
Rutli's target compute marketplace fee is 0%. That does not mean compute is free: hardware has a cost, power has a cost, different workloads have different requirements. But the platform should not need to obscure the underlying compute price behind a large provider take rate. Planned reference prices are published, labelled, on the pricing page; public prices follow when the market is ready to quote them.
Need compute before public launch?
Join the early buyer cohort and help define the workloads the first network must support.