Yahboom Jetson Nano 4GB SUB Develop Deploying OpenClaw Jetson Case, Keyboard, 10.1in Display Suitable for AI Electronic Projects, Mechanical Engineers (Nano SUB, Ultimate Kit)

Features

• 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.
• Answer user confusionYahboom 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.
• Empowered by Large Al Model, Enhanced Human-Computer InteractionThe Jetson Nano, with its AI model applications, supports local deployment of language and vision models. Combined with an AI voice interaction module and camera, it enables speech-to-text, text-to-speech, semantic understanding, natural language dialogue, and visual analysis, comprehensively supporting multimodal AI application development.