AI infrastructure components for memory, networking, interconnect, and power
Build specialized components that remove bottlenecks around AI systems, including memory innovation, networking, interconnects, and power chips. The opportunity comes from the fact that AI demand is expanding faster than existing component capacity.
From a16z — Why Top Founders Are Racing Into AI Infrastructure at 15:00
Problem: Memory, GPUs, power, cooling, and networking capacity are constrained, while the leading memory vendor reportedly has three years of capacity needed to supply current demand.
For: AI hardware-system builders, data-center operators, hyperscalers, frontier labs, and companies deploying large AI workloads.