AI Infrastructure Weekly · Issue 001
AI Infrastructure Is More Than GPUs
The first issue of AI Infrastructure Weekly explains why networking, optics, power, cooling, and deployment infrastructure matter.
One big theme
The AI infrastructure conversation often starts with accelerators, but the next round of constraints is broader. Clusters need fast networking, optical links, power systems, cooling systems, manufacturing capacity, and deployment execution.
Optical interconnect update
Optical links become more important as bandwidth rises and electrical reach becomes harder. Companies to research include Lumentum, Coherent, Applied Optoelectronics, Fabrinet, and Corning.
AI networking update
Ethernet fabrics, switching silicon, custom ASICs, retimers, and connectivity chips are becoming core research categories. Broadcom, Marvell, Arista Networks, Astera Labs, Credo Technology, and Cisco belong on the map.
Power and cooling update
High-density racks shift the bottleneck toward power distribution, UPS, thermal management, and liquid cooling readiness. Vertiv, Eaton, Schneider Electric, GE Vernova, Modine, and nVent are useful starting points.
Company to watch
Vertiv is a useful example of a company whose AI relevance comes from data center deployment constraints, not accelerator design. Always verify exposure, backlog, and customer mix from primary filings.
New pages added
This week adds the AI Infrastructure Stack Map, the Optical Interconnect Company Map, and the first comparison pages for Broadcom vs Marvell and Lumentum vs Coherent.