Choosing the Right Compute Model

AI applications can contain many different workloads. Lightweight API requests may suit serverless execution, while long-running document processing, custom services, or specialized workloads may benefit from containers.

Serverless Strengths

• Simple deployment
• Automatic scaling
• Event-driven workflows
• Low infrastructure management overhead

Container Strengths

• Greater runtime control
• Predictable environments
• Long-running services
• Flexible dependencies

Use a Hybrid Architecture

There is no requirement to choose one technology for the entire platform. A practical AI system may use serverless functions for triggers, containers for workers, managed databases for state, and queues for asynchronous processing.