The AI factory is becoming the computer and it’s changing the semiconductor race

The next phase of artificial intelligence infrastructure will not be defined by a single graphics processing unit, chip architecture or model. Compute, memory, networking, packaging, power and software are converging into a new systems architecture with sovereignty emerging as a consequence of that shift. The semiconductor industry is entering a new phase of the artificial intelligence buildout, and I think the market is still underestimating how profound the architectural change will be. For the first several years of generative AI, the conversation centered on the accelerator. GPUs were the scarce resource, Nvidia Corp. became the defining company of the AI infrastructure cycle, and everyone wanted to know how many GPUs could be obtained and how quickly they could be deployed. That was phase one. What I’m seeing now is the center of gravity moving outward from the chip. The AI infrastructure discussion is rapidly becoming about systems: central processing units, GPUs and custom XPUs; memory and high-bandwidth memory; scale-up and scale-out networking; chiplets; advanced packaging; optics; cooling; software; electricity; and ultimately entire campuses operating as enormous computers. The AI factory is becoming the computer. And when that happens, the economics, competitive dynamics and even the geopolitical implications…