Monolith vs Microservices: The $1M ML Design Decision

Most ML teams don’t fail because of the model—they fail because of the architecture.

When building and scaling machine learning systems, one of the most overlooked but critical choices isn’t about which model or framework to use—it’s about the architecture that powers it all. Should you keep things simple with a monolith, or embrace the flexibility of microservices?

This isn’t just a technical debate—it’s a business decision worth millio…