operations
AI infra interview questions tagged operations, across every topic.
9 questions · 1 unlocked for you
Concepts behind "operations"
The curriculum that explains the ideas these questions test.
Foundational
Model Onboarding: From Hugging Face to ProductionA new open-weights model lands and someone asks how long until it is serving traffic. The answer depends on a sequence that is the same every time: read the card and the config, check engine support for the exact attention and quantization combination, size it, pull the weights, bring up one replica, validate correctness against the authors' own outputs, benchmark, then roll out behind a flag. The steps that surprise people are the download, which is hours for a trillion-parameter model, and the correctness check, which almost nobody does and which catches the wrong template.🧮 Open Weights & Serving Engines
Foundational
Node Lifecycle: Drain, Upgrade and ReturnA node moves through a fixed cycle between provisioning and decommissioning, and most fleet operations are one lap around it: cordon so nothing new lands, drain so running work finishes or moves, act, validate, then return to the pool. The wall-clock cost of a fleet-wide change is dominated by draining rather than by the change itself, which makes the plan a scheduling document rather than a technical one.🗂️ Scheduling & Orchestration
Foundational
Alert Design and On-Call LoadAn alert exists to change what a human does, so any alert that fires without a decision attached is a false alarm regardless of whether its condition was true. GPU fleets generate a specific set of noisy signals that look serious and are not, and separating those from the ones that need a person at three in the morning is what keeps a rotation sustainable. The measure of an alerting system is the fraction of pages that led to an action.🩺 Fleet Reliability & Observability
