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The cluster passed every acceptance test and production throughput is 20 percent below plan. Where do you look?

Reproduce the baseline, compare equivalent work, and trace the missing time. Acceptance, production and the original plan may differ in more than one way.

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

Reproduce the baseline, compare equivalent work, and trace the missing time. Acceptance, production and the original plan may differ in more than one way.

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The concepts behind this question

Use these concept explanations to review the ideas behind this question.

🖧 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.

🖧 Hardware & Cluster Build-Out

Direct-to-Chip Liquid Cooling and CDUsDirect-to-chip cooling carries heat from cold plates to a coolant distribution unit. Flow, temperature, pressure and coolant quality all matter to the design.

🧩 GPU & Accelerator Architecture🔒 Premium

Structured Weight SparsityZeros accelerate inference only when a supported representation and kernel skip their work. Separate pruning quality, compressed storage, dispatch and end-to-end benefit.

🧩 GPU & Accelerator Architecture

Roofline ModelDerive a throughput ceiling from work, traffic and hardware limits. Read a measured point below the roof, distinguish memory boundaries, and choose an optimization without promising peak performance.

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UP NEXT ON YOUR JOURNEY

Next in this trackRoll out a driver and firmware upgrade across a live 2,048-GPU fleet without losing a training run.Next in this trackA new GPU generation is arriving. Plan the migration of a live 2,048-GPU cluster.Next in this trackA vendor claims their accelerator beats an H100 at half the price. How do you evaluate that?

FEDITOR'S NOTE

Look for a fair baseline, non-overlapping critical-path attribution and evidence that the application recovers.

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