DDI, Security, and Visibility for AI Workloads: A Practical Architecture Guide for AI-Era Infrastructure
This document provides practical guidance for architecting Domain Name System (DNS), Dynamic Host Configuration Protocol (DHCP) and IP address management (IPAM), collectively known as DDI, infrastructure in support of AI workloads.
The document covers core DDI design for AI, the Kubernetes cluster boundary, the agent plane, workload patterns for training and inference, observability, security, operating model and how the Infoblox platform delivers each layer. The strategic basis is simple: DNS is the one discovery substrate already universally deployed, globally federated and standards-based across organizational boundaries. Building agent discovery and governance on it leverages infrastructure every enterprise already operates.
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