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Yahboom NVIDIA Jetson Orin NX Super 16GB Development Board ROS Main Control Kit AI Core Board NVIDIA Motherboard Linux
yahboom•Development board

Yahboom NVIDIA Jetson Orin NX Super 16GB Development Board ROS Main Control Kit AI Core Board NVIDIA Motherboard Linux

CN¥8,909.00
SKU: 100165069649
Status:In Stock (6)
ID: 100165069599
Weight: 953.00 g
Dims:250x205x70 mm

Variants / Sale Attributes

Color: 16GB [Advanced Camera Kit]

Package Contents

Jetson Orin NX SUPER 8GB Development Kit *1, Power Adapter *1, Antenna *1, Wireless Network Card (pre-installed at factory) *1, 256GB Solid State Drive (factory pre-flashed with system image) *1

Product Description

Product Specifications

Overview

Brand
yahboom
Product Name
Jetson Orin NX SUPER Developer Kit (2025 Upgraded Version)

Based on NVIDIA Jetson Orin NX module

Significant performance upgrade over previous generation (67% increase in computing power)

GPU frequency increased by 53% to 1173 MHz

Supports MAXN 40W power mode

Ideal for large AI projects including large language models (LLMs), vision-language models (VLMs), and vision transformers (ViTs)

High cost-performance ratio for high-performance computing, edge computing, and deep learning applications

Orin NX 8GB

Orin NX SUPER 8GB

Orin NX 16GB

Orin NX SUPER 16GB

AI Compute Power (TOPS)

ItemDetail

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Orin NX 8GB70 TOPS (sparse), 50 TOPS (dense)
Orin NX SUPER 8GB117 TOPS (sparse), 78 TOPS (dense)
Orin NX 16GB100 TOPS (sparse), 50 TOPS (dense)
Orin NX SUPER 16GB157 TOPS (sparse), 78 TOPS (dense)

GPU

ItemDetail
ArchitectureNVIDIA Ampere
CUDA Cores1024
Tensor Cores32
Max GPU FrequencyUp to 1173 MHz (SUPER models)

CPU

ItemDetail
6-core or 8-core Arm Cortex-A78AE v8.2 64-bit CPU—
L2 Cache1.5MB to 2MB
L3 Cache4MB
Max CPU FrequencyUp to 2.0 GHz

Deep Learning Accelerator

  • 1x or 2x NVDLA v2.0

LPDDR5 128-bit

Additional details

Bandwidth
102.4 GB/s
Capacity
8GB or 16GB depending on model

Supports external NVMe SSD (recommended)

SSD pre-flashed with system image including AI vision, ROS cases, AI large model cases, and OpenClaw

Additional details

Recommended SSD capacity
256GB (128GB possible but limited for large models)

TF card support available but not recommended due to slower speeds and interface limitations

Additional details

Power Modes
10W, 15W, 20W, 25W, 40W (MAXN SUPER)
Power Consumption
10W to 40W depending on mode and model
Camera Inputs
2x 22-pin CSI interfaces (4 lanes each)

Video Encoding

  • Up to 1x 8K30 (H.265), 3x 4K60 (H.265), 6x 1080p60 (H.265) depending on model

Video Decoding

  • Up to 18x 1080p30 (H.265)

Additional details

Display Output
DisplayPort, HDMI, eDP support depending on configuration
USB
4x USB 3.0 ports, USB Type-C interface
Ethernet
1x RJ45 Gigabit Ethernet, optional PoE support
M.2 Slots
M.2 Key E and M.2 Key M slots for expansion (WiFi, NVMe SSD)

CAN Bus, GPIO, PWM, UART, SPI, I2C interfaces available for hardware control

Supports OpenClaw deployment and comprehensive tutorials covering file management, camera applications, AI scripting, voice interaction, browser control, and AI autonomous programming

Supports AI large model voice module with high-performance microphone and speaker for natural human-machine voice interaction

Compatible with yahboom mini metal chassis designed for Jetson enthusiasts, featuring RGB lighting, OLED display, dual fan cooling, dust filters, and antenna support

Provides continuous updates of original materials and system images (latest update June 2026)

Supports ROS2 and NVIDIA Isaac ROS for robotics AI applications including 3D scene reconstruction, object detection, and 3D pose estimation

Pre-installed software stack includes Ubuntu 22.04, CUDA 12.6, TensorRT 10.7.0, cuDNN 9.6.0, OpenCV 4.10.0, and other AI frameworks

Additional details

Mainboard size (without base)
Approx. 100 mm x 92 mm x 34 mm

Jetson Orin NX SUPER Developer Kit (8GB or 16GB)

Pre-flashed NVMe SSD with system image

OpenClaw deployment and application tutorials

FPC camera connection cables (22-pin CSI)

AI large model voice module

Access to continuous software and tutorial updates

High-performance AI development and edge computing

Large language model and vision-language model deployment

Robotics and autonomous system development with ROS2

AI vision and multi-modal AI applications

SSD is recommended over TF card for system disk due to higher transfer speeds (2000-3000 MB/s vs. 30 MB/s)

256GB SSD recommended for sufficient storage of system, SDKs, and large AI models

Compatible with NVIDIA JetPack L4T 36.4.0 and later versions

End of Specifications

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