A new GPU node arrives. What do you run before it serves a customer, and what does each test actually catch?

Build an acceptance suite around the node’s intended workload and supported hardware limits. Combine configuration, correctness, communication and sustained-load evidence, then record a baseline and an explicit return-to-service decision.

Updated Oct 2026 · Learn how AI infrastructure works through explanations, worked examples and diagrams, then practise applying it to interview questions.

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The concepts behind this question

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Advanced

🩺 Fleet Reliability & Observability🔒 Premium

Node Health Checks and Burn-InHealth checks look for faults before and during GPU workloads. Burn-in, pre-flight checks and continuous monitoring cover different conditions and need explicit acceptance criteria.

Foundational

🖧 Hardware & Cluster Build-Out

Burn-In and Acceptance TestingAcceptance testing checks that a new cluster meets agreed performance and reliability criteria. Sustained tests and comparisons between nodes help reveal defects before production.

Foundational

🔌 Networking & Storage

Debugging a Slow All-ReduceInterpret NCCL algbw and busbw, then isolate a slow collective with controlled tests. Distinguish rank delays, GPU-memory paths and shared-fabric limits without guessing from bandwidth ratios.

Foundational

🔌 Networking & Storage

NCCL and Collective AlgorithmsNCCL implements GPU collectives using algorithms, protocols and channels over available hardware paths. Learn what each choice changes, how to read bandwidth results, and which evidence separates a communication problem from late application work.

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UP NEXT ON YOUR JOURNEY

Next in this trackHow would you detect that GPUs are thermally throttling, and what is the right response when they are?Next in this trackWhat do NVLink errors look like in telemetry, when is a link degrading rather than broken, and when do you drain the node?Next in this trackWrite the postmortem for a training run that lost twelve hours. What goes in it, and what makes the action items stick?

FEDITOR'S NOTE

Use matched baselines and justified durations rather than universal bandwidth or clock thresholds. Quantify the cost and detection assumptions without inventing field failure rates.

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