Agentic AI Infrastructure refers to the architectural foundation and operational framework that supports agentic systems, AI agents capable of independently perceiving, deciding, acting, and learning across complex digital environments. This infrastructure enables the deployment, execution, and governance of autonomous workflows where multiple agents operate concurrently, often without human intervention.
What Makes It Different?
Unlike traditional infrastructure built for static applications or manually triggered automation, agentic AI infrastructure must be dynamic, intent-aware, and highly composable. These systems continuously spawn and retire tasks, adapt to changing conditions, and interact across multiple layers of compute, data, and orchestration. Infrastructure must respond to these agents in real time, provisioning resources, enforcing guardrails, and scaling intelligently as agent behaviors evolve.
Key Characteristics
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