【Jetson Nano SUB Core Parameters】●GPU: 128-core Maxwell ●AI computing power: 473GFLOPS ●CPU: Quad-core ARMA57 1.43 GHZ ●Network: Support USB high-speed network card, support M.2 dual-band high-speed network card ●Storage: Support 16GB eMMC Note: SUB motherboard does not have SD card slot 【Rich Interfaces, Powerful Functions】Four USB 3.2 Gen 1 high-speed interfaces can access more and richer peripherals, USB3.2Gen 1 high-speed transmission; supports 2 CSI cameras or 1 binocular camera, very suitable for use Parallax algorithm ranging for face recognition, live body detection, VR vision recording and other applications; supports DisplayPort interface and HDMI high-definition interface; 【Comparison between】Both have the same motherboard performance, onboard resources, size, and interface layout; The only difference is that the SUB version comes with 16GB eMMC storage, and you can easily and quickly start the motherboard without a TF card; Compared with TF cards, eMMC is faster, more stable, and more capable of adapting to the environment, and is more in line with the system environment construction of current edge devices;
【Packaging list】●Expansion kit: Jetson Nano 4GB kitx1, power adapterx1, acrylic shellx1, 64GB USB flash drivex1, cooling fanx1, DP to HDMI cablex1, Lan cablex1; ●Wifi Advanced kit: expansion kit + IMX219-77° camerax1, camera housingx1, M.2 wireless network cardx1; ●Mini computer kit: expansion kit-acrylic housing+Cube Jetson mini housing+USB camera+wireless network card; ●Flagship kit: mini computer kit + 10.1-inch display + wireless keyboard and mouse set; 【Wide application scenarios】This product is suitable for AI robots, drone data processing, urban road identification, medical data processing, robot dogs and other fields; Yahboom has a strong after-sales technical support team, providing Ubuntu 18.04 system and AI vision and ROS development materials; Provide relevant information.
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