Borrowing the Night: Reclaiming Idle Inference GPUs for Research
SMRTR summary
Runway ML built a capacity controller that dynamically shifts GPUs between production inference and research based on daily demand cycles. Using queueing theory to size capacity precisely, production GPUs flow to research overnight when traffic drops to half its peak, then return before the morning surge — cutting costs and queue wait times simultaneously.
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