Storage

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.