Under load, a shared inference service has to decide whose request runs now. The signal is queuing with priorities, backpressure, and fairness wired into batching, not first-come-first-served until the service falls over.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
Under load, a shared inference service has to decide whose request runs now. The signal is queuing with priorities, backpressure, and fairness wired into batching, not first-come-first-served until the service falls over.
No comments yet — be the first to share your approach.
