​Generative AI Demands A Reimagined Data Center

AI's growing demands are outpacing traditional data center infrastructure, requiring significant upgrades in compute, memory, storage, and networking to handle larger data volumes and complex models. Current systems struggle with scaling, leading to performance bottlenecks and issues like truncated outputs and hallucinations, especially as AI expands beyond text to images, video, and robotics.