Modern x64 NPU architecture features 256 tensor cores, HBM3 memory, and PCIe 5.0 connectivity for high-throughput AI inference workloads. The NPU Control Unit orchestrates instruction flow through the Instruction Decoder to specialized compute units: Tensor Core Array for matrix operations, Matrix Multiply Unit for dense linear algebra, and Vector Processing Unit for element-wise operations. On-Chip SRAM (32MB) serves as a high-bandwidth cache between HBM3 Memory (16GB) and compute units, while the DMA Engine handles asynchronous data transfers via PCIe 5.0 Interface to the Host CPU and System Memory (DDR5). Quantization Engine supports INT8 and FP16 precision for optimized inference, with Power Management Unit and Thermal Sensors ensuring thermal efficiency under sustained compute loads. Fork this diagram on Diagrams.so to customize memory hierarchies, add custom accelerator blocks, or export as .drawio for hardware design documentation.