Development Guidelines

Integration API

interface ProminenceAPI {
    submitTrainingData(data: Buffer): Promise<string>;
    validateModel(modelHash: string): Promise<boolean>;
    getNetworkStatus(): Promise<NetworkStatus>;
    participateInTraining(nodeConfig: NodeConfig): Promise<void>;
}

Performance Metrics

• Training convergence rate: 95%

• Transaction throughput: 50,000 TPS

• Model accuracy: 87%

• Network latency: < 100ms

Deployment Architecture

Infrastructure Requirements

• Primary nodes: 32-core CPU, 128GB RAM

• Validator nodes: 16-core CPU, 64GB RAM

• Training nodes: 4x NVIDIA A100

• Network: 10Gbps connections

Scaling Strategy

• Horizontal scaling for validation

• Vertical scaling for training

• Dynamic resource allocation

• Load-based auto-scaling