🚀 Stage 4: Deployment

Deployment &
Inference

Production-grade deployment solutions optimized for your target environment—from edge devices to cloud infrastructure.

Deployment Solutions

Edge Deployment

  • â–¸NVIDIA Jetson optimization
  • â–¸Raspberry Pi & embedded systems
  • â–¸Mobile deployment (iOS/Android)
  • â–¸Industrial edge devices

Cloud Infrastructure

  • â–¸AWS, GCP, Azure deployment
  • â–¸Kubernetes & Docker orchestration
  • â–¸Auto-scaling inference
  • â–¸Load balancing & redundancy

Model Optimization

  • â–¸TensorRT acceleration
  • â–¸Quantization (INT8, FP16)
  • â–¸Model pruning & distillation
  • â–¸ONNX export & conversion

Real-Time Processing

  • â–¸Video stream processing
  • â–¸Multi-camera synchronization
  • â–¸Low-latency inference (<50ms)
  • â–¸Hardware acceleration (GPU/NPU)

Production Infrastructure

MLOps Integration

CI/CD pipelines, model versioning, A/B testing, and continuous monitoring for production computer vision systems.

Monitoring & Logging

Real-time performance metrics, inference latency tracking, error monitoring, and automated alerting for production stability.

API Development

RESTful and gRPC APIs, WebSocket streaming, batch processing endpoints, and comprehensive API documentation.

Security & Compliance

Model encryption, secure inference endpoints, HIPAA/GDPR compliance, and audit logging for regulated industries.

Ready to Deploy Your Vision AI?

Let's build a production-grade deployment solution optimized for your requirements.

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