Architecture

Task Allocation and Execution

Inferium’s task allocation system assigns AI workloads based on the computational capacity of Worker Nodes. Validator Nodes verify completed tasks and ensure network security.

Task Pool Management

• Inferium assigns AI model inference, benchmarking, and validation tasks into a Task Pool.

• Worker Nodes pull tasks based on their hardware capabilities.

• Validator Nodes monitor execution and approve results before finalizing output.

Node Capability-Based Task Distribution

• High-performance nodes handle large-scale model hosting and AI training.

• Mid-tier nodes execute real-time inference and AI agent processing.

• Low-power nodes manage lightweight AI tasks and leaderboard updates.

On-Chain Proof of Execution

• Proof-of-inference results are recorded on blockchain networks to ensure AI execution integrity.

• Validator Nodes generate Zero-Knowledge Proofs for AI tasks requiring verifiable computation.

• Secure AI agent transactions are processed using Inferium’s tokenized AI economy.

Incentive and Slashing Mechanism

Inferium’s incentive system ensures reliable AI execution while penalizing nodes that fail or submit incorrect results.

Worker Node Rewards

• Earn $IFR tokens for successful AI inference execution.

• Receive tokenized revenue for hosting AI agents in Inferium Studios.

• Gain adaptive task priority based on past execution performance.

Validator Node Rewards

• Earn tokens for verifying AI inference and proof-of-inference validation.

• Receive transaction fees for securing AI agent operations in Inferium Studios.

• Participate in governance decisions to maintain network security and fairness.

Slashing Mechanisms

• Worker Nodes that fail to complete tasks correctly receive a penalty deduction.

• Validator Nodes that approve incorrect AI computations face full slashing and removal.

• Fraudulent activity results in permanent disqualification from the Inferium network.