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Architecture

Microservices for AI

Microservices architecture for AI decomposes AI systems into independent, deployable services — each handling a specific capability like text analysis, image processing, or decision-making.

What Are AI Microservices?

AI microservices apply the microservices architectural pattern to AI systems — breaking complex AI applications into small, independently deployable services that each handle a specific capability. Each service can use different models, scale independently, and be updated without affecting the rest of the system.

Why Use Microservices for Business AI?

Microservices prevent the "monolith trap" where everything depends on everything else. In an AI context, you might have separate services for: intent classification (fast, cheap model), response generation (powerful, expensive model), image analysis (vision model), and sentiment tracking (lightweight model). Each can be optimized, updated, and scaled independently. AffixedAI's pre-built modules follow this microservices pattern.

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