India, June 18 -- Artificial intelligence is on a relentless march across the computing landscape. While about one in seven data centers today is equipped to host AI workloads, that's expected to approach 70 percent by 2030. AI is migrating from hyperscale to enterprise data centers and out to the network perimeter, where edge AI applications are projected to generate nearly $66.5 billion by the end of the decade.

The fuel for the new computing era is data - staggeringly large volumes that must be fed at high speed to demanding and rapidly scaling AI computing infrastructure.

These vast content repositories are overwhelming conventional storage structures and bring an inherent architectural weakness into sharp relief. Data center memory...