AI hardware discussions tend to focus on compute.

More powerful accelerators, more transistors, larger clusters, and increasingly specialized architectures continue to push computational capability forward at an extraordinary pace.

But there is another challenge growing alongside compute: moving enough data to keep all of that compute productive.