The True Cost of Production AI: Why Systems Matter More Than Models

Deploying an AI model is inexpensive; maintaining reliable, production-grade systems is not. The real costs emerge after launch through infrastructure, continuous retraining, monitoring, and engineering overhead—factors most teams underestimate. Success depends less on model performance and more on building robust systems architecture to support long-term operations.