The Next Platform's latest analysis makes a blunt argument: memory is the lynchpin of the IT industry. While processors and accelerators attract most of the attention, it is memory capacity and bandwidth that ultimately decide what a system can do. The piece frames memory as the structural constraint around which the rest of the industry must organise.
The case is even stronger for AI. The analysis argues that the dependency on memory is 'doubly so' in AI, because AI workloads are built around moving and holding vast amounts of data. When memory falls short, even the most powerful compute hardware cannot deliver its potential.
The practical implication is that the industry's focus on compute may be misdirected. If memory does not keep pace with processor improvements, the gains from faster chips will be capped by the memory subsystem. The source contends that memory should be treated as a first-order design constraint rather than an afterthought.