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hardCrusoeCoreWeaveMicrosoft

Build the schedule for a 2,048-GPU deployment. What is on the critical path?

Build a deployment schedule from dependencies and committed lead times. Calculate float and price the delay only when an action moves usable capacity earlier.

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

Build a deployment schedule from dependencies and committed lead times. Calculate float and price the delay only when an action moves usable capacity earlier.

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The concepts behind this question

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

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
🖧 Hardware & Cluster Build-Out
Colocation, Power Contracts and Site SelectionA suitable site must deliver the required rack power, cooling and service capacity. Contract terms and facility lead times shape both cost and deployment dates.
Foundational
🖧 Hardware & Cluster Build-Out
The Bill of Materials for a Training ClusterA cluster bill of materials includes networking, storage, management, power, cooling and spares as well as GPUs. Size each from the workload and topology.
Foundational
🖧 Hardware & Cluster Build-Out
Accelerator Selection: H100 to B300 and RTX PRO 6000Choose an accelerator by checking memory capacity, memory bandwidth and compute throughput separately. Each limits a different part of the workload.
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UP NEXT ON YOUR JOURNEY
Next in this trackHow many spare GPUs, nodes, cables and transceivers do you hold for a 2,048-GPU fleet?Next in this trackTwenty-eight of sixty-four new nodes fail acceptance. What do you do first?Next in this trackA GPU cluster has four separate networks. Name them and say what each one carries.
FEDITOR'S NOTE

Look for a real critical path, interface-ready parallel work, evidence at handoffs and conditional delay economics.

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