The network economics
The hardware is yours. The compute value should be too.
When a customer pays for compute performed by a participant-owned node, Rutli's intended marketplace principle is simple.
PLANNED
Customer pays $1 for compute.
Node owner receives $1.
Rutli compute marketplace fee: $0.
What the owner keeps
Not included in the dollar
- Payment processing, at cost, shown separately.
- Payout to your account, at cost, shown separately.
- Your electricity.
- Your taxes.
Rutli does not make its money on your compute. It makes it on the services around the network, and it says so.
Why zero?
Because the participant is not inventory. They bought the machine. They maintain it. They provide the power. They decide whether to make it available. Rutli coordinates the network. That coordination should not require Rutli to quietly own a percentage of every participant's hardware output forever.
Fair economics can be a network advantage.
Zero fee does not mean zero cost.
Real life remains annoyingly real. Node owners may still face the items on the right. Those are not the Rutli compute marketplace fee. They should be visible. Not buried.
- electricity paid by the node owner
- taxes
- payment or payout processing
- currency conversion
- regulated financial-service costs
- other clearly identified third-party costs
What will compute cost?
Public market pricing is not live yet, and Rutli will not invent a shiny GPU price table just to look finished. What is published today are planned reference prices for the alpha, labelled as such, on the pricing page. When public paid workloads launch, pricing should clearly show everything on the right.
No token-emission algebra required.
PLANNED Follow network status
- hardware class
- memory and capability
- workload type
- expected performance
- geographic or policy constraints where relevant
- price
- third-party costs
- what the node owner receives
Nodes can receive. Nodes can spend.
A participant may contribute spare capacity today and need extra capacity tomorrow. That creates a useful loop: local first, contribute spare capacity, build value, spend network capacity when useful. An office is a perfect example: use local AI during the day, contribute overnight, consume burst compute when a heavy workload arrives.
That is a network economy. Not just a rental site.
How does Rutli make money?
Rutli is intentionally being designed so the company's success does not require a giant tax on every compute job. The long-term model is intended to live around network services, applications, settlement infrastructure and other value-added layers. The exact public financial architecture is still being designed and will be published when it is legally and operationally ready.
The principle is public now. The plumbing can wait until it is real.
Why this could matter at scale.
A 0% compute take rate is not charity. It is a network-design choice. A network with better participant economics can become easier to join. More nodes create more available capacity. More capacity can support more applications and workloads. More workloads create more value for participants. More value gives people another reason to own capable hardware.
Alignment can be a growth strategy.