Batch vs Real-Time Model Deployment in MLOps and Production AI
Batch Deployment
Predictions are generated periodically for large datasets.
Real-Time Deployment
Models are deployed as APIs serving predictions instantly.
Comparison
- Batch = cost-efficient, slower
- Real-time = low latency, scalable
Choosing the right strategy depends on business needs.

