
The industry-wide fixation on graphics processing units has overlooked a critical storage bottleneck that currently threatens the return on investment for massive AI deployments. While the narrative surrounding artificial intelligence has long centered on the scarcity of high-end compute silicon and the staggering power requirements of modern data centers, a secondary crisis is quietly unfolding within the server racks of










