concept#AI#ML#Architecture#Platform

Scaling AI Systems

Conceptual guidance for designing and operating architectures that enable machine learning models to scale with growing data and user demand.

Scaling AI Systems provides guidance for architectures and operational practices that let machine learning models train and serve under growing data and traffic.

Maturity

Emerging

Cognitive loadHigh

360° overview

Scaling AI Systems

Six perspectives place the building block in context. The numbers show where each perspective continues in the reading path.

The building block at a glance

Scaling AI Systems

360°

Classification

2

Complexity: High
Impact area: Technical

Technical context

2

Integrations

Kubernetes (cluster orchestration)

+2

Principles & goals

1

Design for observability: capture metrics and traces from training to inference.

Value stream stage: Run

Use cases & scenarios

4

Use cases: 3
Scenarios: 3

Compromises

3

Risks: 3
Best practices: 3

I/O & resources

4

Inputs: 3
Outputs: 3