Elastic inference dynamically scales AI computing resources based on real-time demand. It adjusts processing power for deep learning models, reducing costs during low usage while handling spikes efficiently. Businesses deploying AI applications benefit most, especially those with variable workloads, as it optimizes performance without over-provisioning hardware.
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