How would you design a high-throughput real-time inference system using Azure ML?

A high-throughput inference system uses managed endpoints, autoscaling, load balancing, caching, model optimization, and efficient compute allocation.

Real-time inference systems must balance latency, throughput, cost, and reliability.

A scalable Azure ML inference architecture includes:

5.…