• inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.

Inference demand roughly halves overnight, so provisioning for peak strands GPUs and provisioning for trough blows out morning queues; scheduled reallocation lends the trough to research and returns nodes before the peak.

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