AIO-OrinNX Jetson Orin NX Robotics Motherboard
Edge

AIO-OrinNX Jetson Orin NX Robotics Motherboard

Firefly

Overview

AIO-OrinNX Jetson Orin NX Robotics Motherboard is an edge AI computer from Firefly built on Jetson Orin NX, rated by Firefly at 157 TOPS. It carries 16GB LPDDR5. Firefly publishes a fixed price for this configuration and sells direct.

Key Features

  • AI compute: 157 TOPS
  • Accelerator: Jetson Orin NX
  • Memory: 16GB LPDDR5
  • Storage: 1 x M.2 M-KEY (Expandable PCle NVMe SSD, supports 2242/2260/2280)
  • OS: Jetson systems based on Ubuntu 22.04 provide a complete desktop Linux environment with graphics acceleration and support for libraries such as NVIDlA CUDA, TensorRT CuDNN, and more.

Ideal For

developers deploying vision or small-model inference at the edge on an ARM NPU rather than a GPU

Ai software stack

The NVIDIA Jetson Orin series delivers powerful Al compute power, massive unified memory, and a comprehensive software stack to power the latest generative Al applications. It enables fast inference on any generative Al model powered by the Transformer architecture, enabling superior edge performance on MLPerf.

Soc

NVIDIA Jetson Orin NX

Cpu

Octa-core 64-bit Arm Cortex-A78AE v8.2 processor, up to 2.0GHZ

Tpu

157 TOPS

Vpu

1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores

Ram

16GB LPDDR5

Storage

1 x M.2 M-KEY (Expandable PCle NVMe SSD, supports 2242/2260/2280)

Power

DC 12V (5.5 x2.1mm, support 9V~24V wide voltage input)

Power consumption

Normal: 7.2W(12V/600W)Max: 34.8W(12V/2900mA)

Video output

1 x HDMI2.0 (4K@60fps)

Video input

2 x MIPI CSI DPHY (1 x 4 Lanes or 2 x 2 Lanes), Line in (Led by double row headers)

Audio

1 x 3.5mm Audio jack (Support MC recording, American Standard CTlA)

Os

Jetson systems based on Ubuntu 22.04 provide a complete desktop Linux environment with graphics acceleration and support for libraries such as NVIDlA CUDA, TensorRT CuDNN, and more.

Dimension

122.89 mm x 85.04 mm x 35.28mm

Weight

Without Fan - 129g, with fan - 180g

Environment

Operating Temperature: -20℃~60°CStorage Temperature: -20°~ 70°CStorage Humidity: 10%~90%RH(non-condensing)

Other interface

1 x FAN(4Pin-1.25mm), 1 x SlM Card, 1 x Debug (3Pin-2mm),1 x Double-row pin headers (2x10-20PIN-2.0mm): USB2.0, SPl, 2 x 12C, Line in, Line out, GPl01 x Phoenix connector (2x4Pin,3.5mm pitch): 1 x RS485, 1 x RS232,1 x CAN 2.0

Button

1 x Reset, 1 x Recovery, 1 x Power

Robot model

ROS robot model is supported.

Large language models

Support Ollama local large model deployment framework, which can be used for natural language processing, code generation, and assistance scenarios. Support the private deployment of ultra-large-scale parametric models under the Transformer architecture, such as Llama3 and Phi-3 Mini.

Large visual models

Support the privatization deployment of large visual models such as EfficientViT, NanoOWL NanoSAM, SAM, and TAM.

Al Painting

Support ComfyUl graphical deployment framework, which can be used for scenarios such as image restoration, image style conversion, and image synthesis. Supports the private deployment of Flux, Stable Diffusion and Stable DiffusionXL image generation models in the AlGc field.

Operating Temperature

-20℃~60°C

Storage Temperature

-20°~ 70°C

Storage Humidity

10%~90%RH(non-condensing)

Area

Shipping time

Europe

3 - 7 business days

Asia, Oceania

3 - 7 business days

North America

3 - 7 business days

South America

5 - 10 business days

Brand

Firefly

$989.00

Prices may vary. Verify on vendor site.

View on Firefly →

Quick Specs

Ai software stack
The NVIDIA Jetson Orin series delivers powerful Al compute power, massive unified memory, and a comprehensive software stack to power the latest generative Al applications. It enables fast inference on any generative Al model powered by the Transformer architecture, enabling superior edge performance on MLPerf.
Soc
NVIDIA Jetson Orin NX
Cpu
Octa-core 64-bit Arm Cortex-A78AE v8.2 processor, up to 2.0GHZ
Tpu
157 TOPS
Vpu
1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores
Ram
16GB LPDDR5

Tags

edge-inferencecomputer-visionrobotics