Model Deployment Options

What are the available model deployment options?

Multiple deployment options for different use cases:

Deployment Methods:

• REST API: Real-time inference via HTTP endpoints
• Batch Processing: Scheduled batch predictions
• Real-time Inference: Low-latency streaming predictions
• Docker Containers: Containerized deployments
• Kubernetes: Scalable container orchestration

Deployment Features:

• Auto-scaling based on demand
• A/B testing for model versions
• Rollback capabilities
• Health checks and monitoring