Transforming Infrastructure Management with Agentic AI

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Intel IT’s IaaS agentic AI platform delivers comprehensive, cross-domain infrastructure management and monitoring across the enterprise IT landscape. A coordinated mesh of specialized AI agents fuses live enterprise telemetry with configuration, incident, and change data, then reasons across live infrastructure systems to transform fragmented operational data into actionable intelligence. The platform’s hybrid large language model (LLM) architecture materially changes the economics of enterprise AI. We run high-volume, CPU-optimized inference using on-premises open-source models on Intel Xeon processors, which helps reduce token cost while preserving control over sensitive operational data. We use frontier cloud-based LLMs only for complex, low-volume reasoning.

Tags: Agentic AI, artificial intelligence, decision making, hybrid LLMs, IaaS, inference, Infrastructure management, infrastructure management with agentic AI, Intel IT, Intel Xeon Processors, IT Best Practices, IT Business Value, IT@Intel, operational efficiency, resilience, time savings, token cost
 
Posted in: Artificial Intelligence, Intel IT, IT White Papers, IT@Intel