7.Advanced Features

7.1 Developer Tools

API Documentation

  1. 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"
    }
  }
}
  1. 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

  1. 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
  }
}
  1. Implementation Example

const neurolovSDK = new NeurolovSDK({
  apiKey: 'your-api-key',
  region: 'preferred-region',
  options: {
    maxRetries: 3,
    timeout: 30000,
    debug: false
  }
});

Custom Solutions

  1. Integration Options

    • Custom API endpoints

    • Dedicated resources

    • Private networks

    • Custom monitoring

  2. Advanced Features

    • Load balancing

    • Auto-scaling

    • Custom metrics

    • Performance optimization

7.2 Enterprise Solutions

Private Networks

  1. Network Configuration

    - Dedicated nodes
    - Custom topology
    - Secure channels
    - Private endpoints
  2. Security Features

    - End-to-end encryption
    - Access control
    - Audit logging
    - Compliance monitoring

Resource Management

  1. 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);
  }
}
  1. 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

  1. Model Management

    • Custom model deployment

    • Version control

    • A/B testing

    • Performance analytics

  2. Training Pipeline

    - Distributed training
    - Hyperparameter optimization
    - Automated model selection
    - Resource optimization

Enterprise Support

  1. SLA Guarantees

    - 99.99% uptime
    - 24/7 support
    - Priority response
    - Dedicated team
  2. Custom Integration

    - Dedicated onboarding
    - Technical consulting
    - Custom development
    - Performance optimization

7.3 Advanced Analytics

Performance Analytics

  1. Real-time Monitoring

interface MonitoringMetrics {
  system: {
    gpuUtilization: number,
    memoryUsage: number,
    networkThroughput: number,
    taskCompletion: number
  },
  financial: {
    costPerOperation: number,
    revenueGenerated: number,
    profitMargin: number
  }
}
  1. Historical Analysis

    • Trend analysis

    • Performance patterns

    • Cost optimization

    • Resource utilization

Predictive Analytics

  1. Resource Optimization

interface PredictiveModel {
  demandForecasting: {
    shortTerm: PredictionResult,
    mediumTerm: PredictionResult,
    longTerm: PredictionResult
  },
  resourceAllocation: {
    optimizationSuggestions: Suggestion[],
    costProjections: Projection[]
  }
}
  1. Cost Prediction

    • Usage forecasting

    • Price optimization

    • Resource planning

    • Budget allocation

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