Semiconductor

There’s a quiet irony in one of Japan’s most recognizable brand names becoming indispensable to the very apex of computing. TOTO, the company whose heated toilet seats and sleek ceramic basins have graced bathrooms across the world, now earns more profit from holding silicon wafers still during chip fabrication than from everything it sells to consumers. And it’s doubling down.

There is a quiet tension running through every AI datacenter on the planet right now: the compute is getting faster, but the storage delivering data to those hungry accelerators is struggling to keep pace. Memory bandwidth, capacity, and — increasingly — physical proximity to the silicon have become the real ceilings on what a training run or inference workload can achieve.