Summary
This article explores how storage infrastructure is often overlooked in AI discussions despite being a critical component of the AI technology stack. I examine how the focus on GPUs and compute power overshadows the equally important storage requirements for efficient AI operations.
My Perspective
While the industry focuses heavily on compute resources, I've observed that storage bottlenecks can significantly impact AI workloads. This piece reflects my experience working with organizations that discovered storage was their limiting factor, not compute capacity.