Rethinking Your Infrastructure for Enterprise AI

This whitepaper dives deep into the inadequacies of conventional infrastructure for enterprise AI and how IBM’s Power Systems address them. It outlines how typical data lakes and homogeneous servers fail under AI workloads, especially deep learning. IBM proposes a tightly integrated ecosystem—featuring POWER9, NVLink, and Spectrum Scale storage—designed for high I/O, GPU compute, and scalable data lakes. The paper emphasizes the urgency of planning infrastructure that anticipates future AI scale and complexity. It delivers insights into AI lifecycle readiness, infrastructure bottlenecks, and strategies to operationalize AI without constantly reinventing systems.