Neousys Technology, an industry-leading provider of rugged embedded systems, launched an extreme power-efficient fanless Edge AI inference platform, the NRU-120S, which features NVIDIA Jetson AGX Xavier with compact dimensions, 4x screw-lockable PoE+ ports and 2x 2.5" HDD trays.
Neousys Technology, an industry-leading provider of rugged embedded systems, launched an extreme power-efficient fanless Edge AI inference platform, the NRU-120S, which features NVIDIA Jetson AGX Xavier with compact dimensions, 4x screw-lockable PoE+ ports and 2x 2.5" HDD trays.
The future of
edge AI technology applications will be popularized and found in our everyday life. Neousys NRU-120S offers a unique solution for emerging edge AI applications by providing a rugged, fanless platform consuming only 30W while offering equivalent GPU performances to a mainstream 120W GPU.
Neousys NRU-120S offers plenty of I/O connections. It has four Gigabit 802.3at PoE+ ports that can supply 25.5W power to PD devices. For data storage, in addition to 32GB eMMC on the Xavier module, NRU-120S is equipped with an M.2 2280 NVMe socket for fast SSD read/ write and two hot-swappable 2.5" HDD trays for easy replacement and data access. There is also one mini-PCIe socket for WiFi or 4G module, as well as 1x GPS PPS input for cross-platform synchronization, 3-CH isolated DI, and 4-CH isolated DO for communication with external devices.
A one-stop intelligent video analytics solution
"NRU-120S is a one-stop
intelligent video analytics solution incorporating seamless IP camera connectivity, H.264/H.265 video stream transcoding, significant TFLOPS for inference, and visualization of real-time insight. It is a scalable solution for AI applications in smart city and smart retail," said Kaichu Wu, product manager at Neousys Technology. "Plus the support of industrial GigE cameras, NRU-120S can also adopt deep-learning vision solutions in inspection, smart agriculture, and automated warehouse. Last but not least, with its rugged and low power design, NRU-120S enables edge AI in harsh environments, from dusty factories to the roadside with huge day and night temperature difference."