【4GB SUB B01 substitute NOT exactly equal to official B01 (slight difference)】 Jetson Nano 4GB SUB is a highly consistent developer kit based on official Jetson nano 4GB core module, the only difference is that Yahboom Jetson Nano 4GB SUB motherboard comes with 16G-eMMC memory, no need to use TF separately The card can run, at the same time, it can expand the USB3.0 U disk, or use the 3.0 card reader and TF card to expand the memory.
★★★Very important: The TF card slot of the SUB development board is on the carrier board. The memory can be expanded through a TF card or USB flash drive. Pins P19, P21, P23, P24, P26 of Jetson NANO 4GB SUB cannot be set to SPI mode like the official development board. The TF card slot of the official board is on the core board.
Create a lasting memory for yourself, family, friends and more with this official Yahboom Jetson Nano 4GB SUB Developer Kit Ubuntu 18.04 ROS AI Visual Recognition (Nano SUB, Expansion Kit). Whether you are a true fan or just want to show your support, this is a great way to show your love for your favourite team.
【Answer user confusion】Yahboom Jetson Nano SUB login user name-jetson, password-yahboom.Yahboom only modified the login user name and password based on the official operating system, and did not burn any jetpack software packages (cuda, TensorRT, cuDNN) into the development board. To use these software packages, users need to download and install them by themselves.If you don’t want to use the username & password provided by Yahboom, you can rewrite the official operating system by yourself.
【Powerful AI Performance】 Equipped with NVIDIA’s Quad-core ARM Cortex-A57 CPU and 128-core NVIDIA Maxwell GPU, Jetson Nano B01 delivers high-performance AI inference capabilities, supporting deep learning and computer vision applications.
【Rich Interfaces】The development board features a variety of interfaces including HDMI, USB 3.0, USB 2.0, GPIO, CSI camera interface, etc., allowing users to connect external devices and sensors easily.
【Low Power Design】 Jetson Nano B01 is designed for low power consumption, with a power consumption of only 5 watts, making it suitable for embedded systems and IoT devices with strict power requirements.
【Development Environment Support】NVIDIA provides comprehensive development tools and support including JetPack SDK, CUDA, TensorRT, etc., to help developers quickly build and deploy AI applications.
【Ease of Use】Jetson Nano B01 supports multiple programming languages such as Python, C/C++, etc., and provides abundant sample codes and documentation, enabling developers to get started easily.
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