$775.99

From the brand

Jetson Series Development Kit

ROS Robotic Arm Kit Series

Raspberry Pi Series Robotics

Raspberry Pi 5 Accessories

About Us

A provider of artificial intelligence and robot education solutions, and a high-tech enterprise integrating independent research and development, mass production and global sales.

Mission

With the vision and mission of lowering the threshold of creation and popularizing robot education, we continue to develop and innovate robot technology and teaching applications.

Ros Robot Aluminum chassis

DOFBOT PRO 3D Robotic Arm

Jetcobot Mycobot280 robot arm

Raspbot V2-Raspberry Pi5

Raspberry Pi5-4GB/8GB Robot

UNO Programming 360° robot

Six-legged programmable robot

3DOF AI Crawler Robot

Transbot 3dof Robot Arm Kit

6dof OpenCV Robot

Anti-collision Ackerman robot

Rosmaster X3 for Ros2 Python

Dogzilla S2

【Core Parameters】★AI Perf:34 TOPS ★GPU:512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores ★CPU:6-core Arm Corte-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3 ★Memory:4GB 64-bit LPDDR5 51 GB/s ★Storage: external NVMe via M.2 Key M (NOTE:SUB Board No SD Card Slot)
【Packing List】★Developer Kit: Orin Nano 4GB/8GB*1 (core module and carrier board installed), power adapter*1, antenna*2, wireless network card*1 (installed), SSD*1;★Basic Kit: Developer Kit+DP to HDMI cable*1, Type-C cable*1, acrylic case*1; ★Advanced Kit: Basic Kit+IMX219-77° Camera*1, Camera case*1; ★Mini PC Kit: Basic Kit-Acrylic case+Cube Case+USB Camera; ★Ultimate Kit: Mini PC Kit+15.6inch Display+Wireless Keyboard+Mouse Set.
【AI Upgrade】Jetson Orin Nano series modules are compact in size but can deliver up to 34-67 TOPS of AI performance, with power consumption ranging from 7 watts to 25 watts. Compared to the Jetson Nano B01, it offers up to 80 times the performance and sets a new standard for entry-level edge AI.
【Highly compatible carrier board】Yahboom’s carrier board is fully compatible with orin nano module. Compared to carrier boards that use Jetson Nano on the market, the newly upgraded circuit supports 25W power mode, which enables larger and more complex neural networks and fully leverages the performance of the core module. The resources, size, and interfaces of the Yahboom carrier board are consistent with the official board, with the only difference addition of power switch button.
【Tutorial materials provided】The JETSON system based on Ubuntu 22.04 provides a complete desktop Linux environment with accelerated graphics, supporting NVIDI-ACUDA 12.6, TensorRT 10.7.0, cuDNN 9.6.0, OpenCV 4.10.0, etc. The performance on AI LLM, VLM and visual Transformer is significantly improved compared with the previous generation.

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