What is model ensemble serving in production?

Ensemble serving combines predictions from multiple models to improve accuracy.

Ensemble systems may use averaging, stacking, or weighted voting. In production, latency becomes a challenge because multiple models must be executed per request. Optimization strategies include caching and asynchronous inference.