Skip to content
AI360Xpert

Model Serving

Model serving exposes trained models via two main patterns: real-time APIs for low-latency predictions, and batch scoring for high-throughput offline processing.

Model serving exposes trained models via two main patterns: real-time APIs for low-latency predictions, and batch scoring for high-throughput offline processing.
Model serving exposes trained models via two main patterns: real-time APIs for low-latency predictions, and batch scoring for high-throughput offline processing.

Why Does This Exist?

This concept covers the fundamentals of model serving within the broader context of Mlops.

Think of It Like This

A helpful analogy

More details will be added here to explain the concept intuitively.

How It Actually Works

This section will detail the technical mechanisms behind Model Serving.

The Quick Version

  • Key point 1 about Model Serving.
  • Key point 2.