A California-based AI-chip startup pursuing in-memory computing, an architecture in which the same components handle both memory and computation. By eliminating the need to shuttle data between separate processing and memory units—the so-called "memory wall" that bottlenecks conventional AI inference—the design promises lower energy use and faster inference. d-Matrix expects to release its first widely available chip in 2026.
When you can flatten entire cities at a whim, a tendency towards quiet reflection and seeing-things-from-the-other-fellow's-point- of-view is seldom necessary.