
The relentless expansion of artificial intelligence has pushed conventional data center architectures to their breaking point, revealing the central processing unit as an unexpected bottleneck in an era that demands unprecedented speed. As organizations grapple with datasets of staggering size and complexity, traditional storage paradigms are proving inadequate, unable to feed the voracious appetite of modern AI workloads. This analysis










