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

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