7.Advanced Features
7.1 Developer Tools
API Documentation
Core APIs
interface APIEndpoints {
compute: {
base: "/api/v1/compute",
methods: {
submitTask: "POST /tasks",
getStatus: "GET /tasks/{taskId}",
cancelTask: "DELETE /tasks/{taskId}",
getResults: "GET /tasks/{taskId}/results"
}
},
node: {
base: "/api/v1/node",
methods: {
register: "POST /register",
updateStatus: "PUT /status",
getMetrics: "GET /metrics",
disconnect: "POST /disconnect"
}
},
market: {
base: "/api/v1/market",
methods: {
listGPUs: "GET /gpus",
createOffer: "POST /offers",
acceptOffer: "PUT /offers/{offerId}/accept",
getRates: "GET /rates"
}
}
}
WebSocket Events
interface WebSocketEvents {
taskEvents: {
"task.created": TaskCreatedEvent,
"task.started": TaskStartedEvent,
"task.progress": TaskProgressEvent,
"task.completed": TaskCompletedEvent,
"task.failed": TaskFailedEvent
},
nodeEvents: {
"node.connected": NodeConnectionEvent,
"node.status": NodeStatusEvent,
"node.disconnected": NodeDisconnectionEvent
}
}
SDK Integration
Core Components
interface SDKComponents {
core: {
client: NeurolovClient,
taskManager: TaskManager,
computeEngine: ComputeEngine
},
utilities: {
dataPreprocessing: DataProcessor,
resultValidation: Validator,
errorHandling: ErrorManager
},
helpers: {
taskBuilder: TaskBuilder,
configGenerator: ConfigGenerator,
metricCollector: MetricsCollector
}
}
Implementation Example
const neurolovSDK = new NeurolovSDK({
apiKey: 'your-api-key',
region: 'preferred-region',
options: {
maxRetries: 3,
timeout: 30000,
debug: false
}
});
Custom Solutions
Integration Options
Custom API endpoints
Dedicated resources
Private networks
Custom monitoring
Advanced Features
Load balancing
Auto-scaling
Custom metrics
Performance optimization
7.2 Enterprise Solutions
Private Networks
Network Configuration
- Dedicated nodes - Custom topology - Secure channels - Private endpoints
Security Features
- End-to-end encryption - Access control - Audit logging - Compliance monitoring
Resource Management
Advanced Allocation
class ResourceAllocator {
async allocateResources(task: ComputeTask): Promise<AllocationResult> {
const requirements = this.analyzeTaskRequirements(task);
const availableNodes = await this.findEligibleNodes(requirements);
const allocation = this.optimizeAllocation(availableNodes, requirements);
await this.validateAndReserve(allocation);
return this.finalizeAllocation(allocation);
}
}
Performance Monitoring
interface PerformanceMetrics {
network: {
latency: {
p50: number,
p95: number,
p99: number
},
throughput: {
inbound: number,
outbound: number
}
},
compute: {
utilization: number,
queueLength: number,
responseTime: number
}
}
Advanced AI Features
Model Management
Custom model deployment
Version control
A/B testing
Performance analytics
Training Pipeline
- Distributed training - Hyperparameter optimization - Automated model selection - Resource optimization
Enterprise Support
SLA Guarantees
- 99.99% uptime - 24/7 support - Priority response - Dedicated team
Custom Integration
- Dedicated onboarding - Technical consulting - Custom development - Performance optimization
7.3 Advanced Analytics
Performance Analytics
Real-time Monitoring
interface MonitoringMetrics {
system: {
gpuUtilization: number,
memoryUsage: number,
networkThroughput: number,
taskCompletion: number
},
financial: {
costPerOperation: number,
revenueGenerated: number,
profitMargin: number
}
}
Historical Analysis
Trend analysis
Performance patterns
Cost optimization
Resource utilization
Predictive Analytics
Resource Optimization
interface PredictiveModel {
demandForecasting: {
shortTerm: PredictionResult,
mediumTerm: PredictionResult,
longTerm: PredictionResult
},
resourceAllocation: {
optimizationSuggestions: Suggestion[],
costProjections: Projection[]
}
}
Cost Prediction
Usage forecasting
Price optimization
Resource planning
Budget allocation
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