Enterprises deploying agentic AI may need a new generation of AI servers as conventional GPU-centric infrastructure struggles to efficiently execute multi-step AI workflows, according to researchers from Microsoft Azure and the University of Texas at Austin. Drawing on production telemetry from Microsoft’s Azure cloud and experiments with representative open-source agent frameworks, the researchers found that AI agents spend far more time coordi…
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