Compact AI platform NRU-120S for mobile use
With the AI platform NRU-120S and integrated Jetson AGX Xavier module from Nvidia, the German distributor Acceed offers a cost-efficient solution for future AI edge computing applications
By: Acceed GmbH
The internal device mini PCIe bases can, for example, hold a Wi-Fi or 4G module. The PPS (pulses per second) input enables cross-platform synchronisation based on the joint time reference provided by the GPS module. Despite its significant inference output, the NRU-120S works highly energy efficiently with electricity consumption of a mere 30 W.
The new NRU-120S is integrated in the AI-based video analysis solutions offered by Acceed, which are also used for video recordings, image analyses and real time inference. Here, the centrepiece is the Jetson AGX Xavier from Nvidia with an 8 core ARM CPU and a Volta graphics processor, 512 CUDA cores and 64 tensor cores, which provide 11 TFLOPS FP16 or 22 TOPS INT8 processor power.
Its efficient performance design and compact form make the NRU-120S the perfect edge AI solution, also for mobile applications. With innovative shock absorption, trigger control and wide power supply range (8 to 35 VDC), the NRU-120S can be used ideally as a video inference platform: for example for autonomous machines, logistics, quality assurance, preventive maintenance or intelligent smart city applications. The admissible ambient temperature for operation is specified with -25 to +70 °C (30 W TDP).
Product Manager Kaichu Wu describes further advantages: "With the support of industrial GigE cameras, the NRU-120S is recommended for deep learning image processing in the areas of inspection, intelligent agriculture and warehouse automation. With its robust and electricity-
+49 211 938898-0