Architecturally, NPUs are built around neural compute engines composed of MAC (multiply-accumulate) arrays, on-chip SRAM, and optimized data paths that minimize memory movement. They emphasize parallel processing, low-precision arithmetic (like 8-bit or lower), and tight integration of memory and computation using concepts like synaptic weights—allowing them to process neural networks extremely efficiently. NPUs are typically integrated into system-on-chip (SoC) designs alongside CPUs and GPUs, forming heterogeneous systems.
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