As skyrocketing demand for AI hardware drives up memory costs, the unit economics of hosting real-time media pipelines and conversational AI agents are shifting dramatically. For engineers architecting SFUs or orchestrating low-latency Voice AI stacks, these hardware constraints may force more aggressive memory optimization and rethink resource allocation. It is a worthwhile read on how broader datacenter supply chain pressures are trickling down to real-time communication infrastructure.