This discussion explores artificial intelligence infrastructure, distributed inference and the knowledge layer. Vito Palermo of Seismora joins John Furrier of theCUBE on the Neo4j AI Luminaries series to present Seismora's vision for an intelligent control plane that routes AI workloads across heterogeneous networks. Palermo draws on internet architecture and operating system experience to address distributed inference, edge placement, ontologies and the role of knowledge graphs in providing context for large language model reasoning. They and the hosts probe implications for neoclouds and enterprise deployments. Palermo emphasizes cognitive routing and cost-aware orchestration using an Agentic Clearing Unit that accounts for network, storage, energy and GPU consumption. They stress knowledge graphs and ontologies as the semantic layer that grounds AI and advocate purpose-fit models at the edge for data sovereignty and latency reduction. Palermo recommends enterprises treat agentic deployments as system-design problems with clear workload and data definitions.