When different neural networks run on the DPUCZDX8G, the I/O bandwidth requirement will vary depending on which neural network is currently being executed. Even the I/O bandwidth requirement of different layers in one neural network will be different. The I/O bandwidth requirements for some neural networks, averaged by layer, have been tested with one DPUCZDX8G core running at full speed. The peak and average I/O bandwidth requirements of three different neural networks are shown in the table below. The table only shows the number of two commonly used DPUCZDX8G architectures (B1152 and B4096).
Note: When multiple DPUCZDX8G cores run in parallel, each core might not be able to run at full speed due to the I/O bandwidth limitations.
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If one DPUCZDX8G core needs to run at full speed, the peak I/O bandwidth requirement shall be met. The I/O bandwidth is mainly used for accessing data though the AXI master interfaces (DPU0_M_AXI_DATA0 and DPU0_M_AXI_DATA1).