Uploaded May 2026 | Updated September 2026, 1 week ago
People often use “memory” and “storage” interchangeably in AI conversations—but they play very different roles in AI infrastructure.
Memory processes data in the moment.
Storage preserves data over time.
That distinction matters more than ever as AI systems scale and data becomes the defining constraint.
In this short video, WD CPO Ahmed Shihab explains why understanding the relationship between memory and storage is foundational to designing AI systems for performance, durability, and long-term growth.
Because AI data centers aren’t just compute environments. They’re data systems.
People often use “memory” and “storage” interchangeably in AI conversations—but they play very different roles in AI infrastructure.
Memory processes data in the moment.
Storage preserves data over time.
That distinction matters more than ever as AI systems scale and data becomes the defining constraint.
In this short video, WD CPO Ahmed Shihab explains why understanding the relationship between memory and storage is foundational to designing AI systems for performance, durability, and long-term growth.
Because AI data centers aren’t just compute environments. They’re data systems.
