Manufacturing capacity depends on fabrication plants, production tools, process nodes, materials, skilled labor, advanced packaging and testing. AI accelerators also depend on memory and other components whose separate supply limits can constrain completed systems.
New capacity requires large capital commitments and long construction and qualification cycles. Demand can therefore grow faster than supply, making manufacturing a bottleneck even when chip designs and customer orders are ready.
ELI5
Semiconductor manufacturing capacity is how many usable chips the industry can make, package and test over time. A finished design does not become hardware until factories and suppliers can produce it.
For example, demand for AI accelerators may rise quickly while advanced factories and packaging lines are already full. Building more capacity can take years, so manufacturing limits can slow the amount of computing equipment available.
