In traditional digital AI architectures,
frequent data movement often becomes the biggest bottleneck affecting performance and power consumption.
Especially in wearables, sensor nodes, and industrial edge devices, every joule of energy and every millisecond of latency is a core competitive consideration.
In power-constrained environments, solutions should go beyond parameter optimization and redefine data flow at the architecture level.
ANIX employs Computing-in-Memory (CIM) technology, enabling data to be processed directly within storage units, breaking through the memory-compute bottleneck and fundamentally eliminating redundant power consumption from data movement.