Generative AI Inferencing Ramp-up: A CIOs Guide to Physical Infrastructure Considerations

AI inference is where generative AI meets real-world operations—and where performance, scalability, sustainability, and business value are put to the test. Explore the infrastructure considerations shaping the next phase of AI deployment.
Sept. 30, 2026

As AI inference scales across centralized, edge, distributed, and heterogeneous environments, organizations must rethink capacity planning, capital allocation, workload design, cooling, energy, interconnects, and latency. This report from Schneider Electric and World Wide Technology (WWT) outlines five types of inference workloads, examines key IT stack considerations across three hypothetical AI models, and explores how to build physical infrastructure that remains adaptable and future-ready. Discover how validated solutions and strategic planning can help organizations deploy AI with greater efficiency, resilience, and agility.

Download now to explore the key considerations for scaling AI inference reliably and efficiently.