Not every prediction needs a low-latency endpoint, and reaching for one by default wastes money. What matters is matching the serving pattern to the latency and freshness requirement. Here is the decision and when you'd reverse it.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
Not every prediction needs a low-latency endpoint, and reaching for one by default wastes money. What matters is matching the serving pattern to the latency and freshness requirement. Here is the decision and when you'd reverse it.
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