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·8 hr ago·Dev community · RSS
Nvidia's Switchyard router reshuffles AI models mid-task, cutting task costs to a third in its own tests
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This covers generation capability or on-device inference progress — worth tracking for model efficiency, deployment cost, and application openings.
Enterprises running always-on AI agents keep hitting the same tradeoff. Send every task to a frontier model and the bill climbs fast. Build custom routing logic to send easy tasks to cheaper models and that becomes its own engineering project, one that has to be maintained every time a workflow changes.
Nvidia is proposing a fix that touches both ends of that problem at once.