Can the GPU/NPU computing power of an industrial AI edge gateway meet the real-time analysis requirements of multiple cameras?

Industrial AI edge gateways typically have GPU/NPU computing power of 20-100 TOPS, supporting real-time analysis of 4-16 1080p cameras. Parallel processing of multiple video streams puts significant pressure on the PCIe switch and DDR bandwidth, easily generating power supply noise and radiation. Countermeasures include: 1) Adding a PBZ1608E600Z0T ferrite bead to the PCIe clock source and spreading it; 2) Providing each camera with an independent LC filter inductor (CML3225A-101T); 3) Using a CMZ20212A-900T series common-mode filter for the MIPI interface to suppress crosstalk; 4) Using conductive foam for overall shielding, compressing seams by 25%, and achieving a contact resistance <20mΩ. Actual measurements show a 6dB margin in radiated emissions for 16-channel real-time analysis, and a 4℃ reduction in GPU core temperature.