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hard★ EssentialOpenAIAnthropicxAI

Design a training cluster for a one-trillion-parameter MoE. Size it, choose the parallel layout, and map it onto the fabric.

Separate total and active parameters, then size persistent state, approximate compute and token dispatch. Compare supported parallel layouts using per-rank memory, measured communication and recovery.

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Separate total and active parameters, then size persistent state, approximate compute and token dispatch. Compare supported parallel layouts using per-rank memory, measured communication and recovery.

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FEDITOR'S NOTE

Scored on separating total from active parameters in the first minute, on deriving the layout from the memory and communication budgets rather than naming a fashionable one, and on treating expert imbalance as a straggler problem with a measurable signal.

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