Tenzarch coordinates AI workloads across distributed execution infrastructure, connecting workload demand, network coordination, execution capacity, and result delivery through a shared decentralized execution layer.
Execution NetworkCoordinated execution across distributed infrastructure
NETWORK MODEL
Demand, coordination, and execution in one network.
Workload demand
Applications, agents, developer integrations, and programmatic execution requests can bring AI workloads into Tenzarch.
Network coordination
The Execution Network records, routes, and coordinates workloads across the execution lifecycle.
Distributed execution
Execution Nodes provide the processing capacity used to execute assigned workloads and return results.
THE EXECUTION NETWORK
A shared execution layer for AI workloads.
Tenzarch connects AI workload demand with distributed execution infrastructure. Workloads can originate from user-facing products, external applications, agents, developer integrations, and programmatic requests before moving through coordinated execution and returning results to the systems that initiated them.
Tenzarchexecution network
Workload Sources
Execution Network
Routing + Coordination
Distributed Execution
Results
HOW EXECUTION WORKS
From workload request to returned result.
Every workload entering Tenzarch follows the same coordinated execution infrastructure. Each request becomes an Execution Job, moves through a Workflow Run, is routed to eligible execution capacity, and returns a structured result.
Execution Network
Workload Sources
Execution Network
Routing + Workflow
Distributed Execution
Results
Workload Request > Execution Job > Workflow Run > Execution Node > Result
AI AGENTS
User-facing AI, backed by network execution.
AI Agents provide a direct user-facing way to submit and interact with AI workloads through Tenzarch. The agent handles the experience while the Execution Network coordinates the underlying execution and returns the result.
Developers can invoke AI Executions through scoped API Keys and bring external application demand into the Tenzarch Execution Network. Execution references, state, logs, telemetry, usage, and results remain accessible through the Developer Platform.
Distributed execution capacity across the network.
Execution Nodes form the distributed processing layer of Tenzarch. Across the network, nodes contribute execution capacity that can be evaluated against workload requirements and network conditions before assignment. A Free Execution Node provides users with a direct entry point into that execution-side infrastructure.
Distributed capacity
Execution Nodes contribute processing capacity across the network instead of binding workloads to a single execution environment.
Eligibility and assignment
Availability, workload requirements, and network conditions determine which infrastructure can participate in execution.
Direct participation
Users can activate a Free Execution Node as an entry point into the distributed execution layer.
NODE REWARDS
Recognizing verified node contribution.
Node Rewards recognize eligible Execution Node contribution across Tenzarch. Participants with a Free Execution Node can earn Node Points when their node activity satisfies the conditions of active reward programs. Activation enables participation; contribution is what matters.
Execution contribution
Node activity can become eligible for rewards when it satisfies the conditions of an active Node Rewards program.
Verified participation
Recognized node contribution creates a verifiable record of participation across the execution network.
Node Points
Eligible contribution recognized by active reward programs can earn Node Points over time.
Separate from activation
Activating a Free Execution Node enables participation, but activation alone does not represent ongoing contribution.
Enter the Tenzarch Execution Network.
Run AI workloads, integrate programmatic execution, inspect execution activity, or participate through distributed node infrastructure.