AI design is shifting attention from raw compute to memory and data flow

In an SK hynix-hosted article, OXMIQ Labs CEO Raja Koduri describes data movement as a growing constraint as AI workloads move toward inference and agentic systems. The piece argues that system performance depends on how compute, memory, networks and storage work together, and discusses memory-oriented approaches including HBM, hybrid bonding and processing-in-memory. It is a technology perspective rather than a quantitative product or market announcement.