> But they...don't. Look at the CPU to GPU ratio in any business vs an "AI business".
First off, the language of the article implies that the hardware itself, regardless of CPU/GPU ratio (which isn't mentioned at all), is inherently incapable of anything but serving AI. Its very assumption is a false dichotomy between "AI hardware" and "general purpose technology", an assumption that the hardware that runs "AI" can't serve YouTube videos, store cloud backups, or serve "narrow AI," whatever the author's definition of that is.
Second, it's incorrect to claim "nobody had GPUs in servers." Virtual desktop infrastructure, HPC (pharma sim, fintech modeling, oil and gas), media streaming and transcoding, VFX/Hollywood, all use similar CPU/GPU ratios.
Moreover, the specialized HBM + ASIC infrastructure many companies are now turning to, is driving a ton of research and innovation in the space. These technologies aren't new, and continue to be widely used in many other applications other than "AI," which the author would believe is the sole utility of these "AI investments."