2026년, 데이터 저장 기술이 인공지능의 새로운 총아로 떠오를 전망입니다.

(Featured image courtesy of Forbes article featuring Michael Wu)

Enterprises are pouring billions into bigger models and more GPUs, chasing faster, more accurate AI. But even the most powerful compute stack can only move as fast as the data feeding it, and as AI shifts from pilot projects to mission-critical systems, that gap is becoming impossible to ignore. 

최근에 포브스 article, Phison GM and President (USA) Michael Wu makes the case for why storage, long an infrastructure afterthought, is now one of the most strategic decisions CIOs will make. He breaks down what training, fine-tuning, and inference each demand from the storage layer, and why getting it right may matter more than any GPU upgrade.