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MACHINE-LEARNING-LITERACY5 MIN READ

Walk the Training Versus Serving Architecture

Choose between batch, real-time, and hybrid inference based on workflow and feature timing.

Serve design Different surfaces need predictions on different clocks: homepage nightly, product page instantly, email tomorrow morning, buyer dashboard every Monday. One serving pattern can overpay for speed or underdeliver freshness. Freshness -> latency -> cost Choose the serving pattern that matches the moment Static inference favors reusable predictions; dynamic inference favors real-time context; hybrid designs split the work. Real-time everything Often expensive and unnecessary. Serving design follows workflow timing instead of technical vanity. Choose the cheapest serving pattern that still gives the workflow the freshness it truly needs. Freshness Step 1 The buyer dashboard is reviewed every Monday morning…

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