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You have exactly 1 MW of facility capacity. Maximize training throughput.

Budget the full megawatt, fit whole servers, and compare useful training throughput under measured power limits. A worked cap example shows when more GPUs help.

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

Budget the full megawatt, fit whole servers, and compare useful training throughput under measured power limits. A worked cap example shows when more GPUs help.

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The concepts behind this question

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

🧩 GPU & Accelerator Architecture🔒 Premium

Memory-Bound vs Compute-Bound KernelsUse a worked timing example to distinguish a bandwidth ceiling from a measured bottleneck. Learn which profiler evidence to inspect and why decode, prefill and a whole serving step need separate diagnoses.

🖧 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.

📐 AI Systems Design🔒 Premium

Training Cluster Design at 10k GPUsSize a training cluster from the model, data and completion deadline. Then check the network, storage, power and recovery capacity needed to keep those GPUs productive.

🖧 Hardware & Cluster Build-Out

Rack Power Delivery and BuswaysRack power determines current, distribution equipment and redundancy requirements. Training workloads can also create load swings that average power hides.

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UP NEXT ON YOUR JOURNEY

Next in this trackWhat does nvidia-fabricmanager do, and what exactly breaks when it is not running?Next in this trackDesign the physical layer for a multi-tenant GPU cloud. What changes versus a single-tenant cluster?Next in this trackWalk me through cabling a rail-optimized cluster. What goes where, and what goes wrong?

FEDITOR'S NOTE

Look for clear measurement boundaries, integer server counts, consistent performance units and a tested power-cap tradeoff.

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