The Problem.

AI is hitting a memory wall.

Compute keeps getting faster — but memory bandwidth and capacity haven't kept pace, and that gap is now the real bottleneck.

GPUs sit idle waiting on data. Expensive accelerators run below their potential because they're starved for memory, not compute.

Buying more GPUs doesn't fix a memory problem. It just adds more expensive silicon waiting on the same bottleneck.

There IS a better way!