Machine Learning System Architecture: The Five Layers Every Production ML System Needs
A production machine learning system is not a single model. It is a set of interconnected components working together to deliver reliable predictions under real-world conditions. Understanding this architecture is critical for any organization planning to build or scale ML capabilities.
Most production ML systems follow a five-layer architecture. Each layer plays a distinct role, and failures at any layer can cause the entire system to underperform even if the model itself is accurate.
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