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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