Architecting memory and storage in the AI era

The AI era demands advanced infrastructure for real-time services and intelligent edge devices. To optimize memory and storage, enterprises should define AI workloads, build modular architectures for compute, memory, storage, power, and cooling, and partner with a full vendor ecosystem. Continuous re-evaluation of procurement strategies is crucial due to rapid changes in AI demands and hardware. Efficiency and ROI should be prioritized over peak performance to manage costs and address increasing scrutiny on power consumption and water usage.

This report uniquely details the specific architectural and procurement strategies for optimizing memory and storage in the AI era, unlike general discussions of AI readiness.