AIBOX-OrinNX Jetson Orin NX Embedded PC
Edge

AIBOX-OrinNX Jetson Orin NX Embedded PC

Firefly

Overview

AIBOX-OrinNX Jetson Orin NX Embedded PC is an edge AI computer from Firefly built on Jetson Orin NX, rated by Firefly at 157 TOPS. Firefly publishes a fixed price for this configuration and sells direct.

Key Features

  • AI compute: 157 TOPS
  • Accelerator: Jetson Orin NX
  • OS: The Jetson system, based on Ubuntu 22.04, offers a comprehensive desktop Linux environment with accelerated graphics, supporting libraries such as NVIDIA CUDA, TensorRT, and CuDNN.

Ideal For

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

Ai performance

157 TOPS

Traditional network architectures

Traditional network architectures such as CNN, RNN, and LSTM; a variety of deep learning frameworks include TensorFlow, PyTorch, MXNet, PaddlePaddle, ONNX, and Darknet; custom operator development.Docker container management technology facilitates easy image deployment.

Ai software stack

NVIDIA Jetson Orin offers unparalleled AI computing, large unified memory, and comprehensive software stacks, delivering superior energy efficiency to drive the latest generative AI applications. It’s capable of fast inference for any generative AI models powered by the transformer architecture, providing superior edge performance on MLPerf.

Large model

Robotic models: ROS modelsLarge language models: The private deployment of ultra-large-scale parameter models under the Transformer architecture, such as LLaMa2, ChatGLM, and Qwen.Vision models: ViT, Grounding DINO, and SAM.AI painting: Stable Diffusion V1.5 image generation model in the AIGC field.

Cpu

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

Gpu

1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores

Power

DC 12V (DC 5.5 * 2.1mm)

Power consumption

Normal: 7.2W (12V/600mA)Max: 33.6W (12V/2800mA)

Video output

1 × HDMI 2.1 (4K@60fps)

Os

The Jetson system, based on Ubuntu 22.04, offers a comprehensive desktop Linux environment with accelerated graphics, supporting libraries such as NVIDIA CUDA, TensorRT, and CuDNN.

Dimension

93.4 mm x 93.4 mm x 50 mm

Weight

≈ 500g

Watchdog

Support external watchdog

Usb

2× USB 3.0 (Max: 1A)

Robotic models

ROS models

Large language models

The private deployment of ultra-large-scale parameter models under the Transformer architecture, such as LLaMa2, ChatGLM, and Qwen.

Vision models

ViT, Grounding DINO, and SAM.

AI painting

Stable Diffusion V1.5 image generation model in the AIGC field.

Product tutorials

Click Here

Product datasheet

Click Here

Sdk software and firmware files

Click Here

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

$1,539.00

Prices may vary. Verify on vendor site.

View on Firefly →

Quick Specs

Ai performance
157 TOPS
Traditional network architectures
Traditional network architectures such as CNN, RNN, and LSTM; a variety of deep learning frameworks include TensorFlow, PyTorch, MXNet, PaddlePaddle, ONNX, and Darknet; custom operator development.Docker container management technology facilitates easy image deployment.
Ai software stack
NVIDIA Jetson Orin offers unparalleled AI computing, large unified memory, and comprehensive software stacks, delivering superior energy efficiency to drive the latest generative AI applications. It’s capable of fast inference for any generative AI models powered by the transformer architecture, providing superior edge performance on MLPerf.
Large model
Robotic models: ROS modelsLarge language models: The private deployment of ultra-large-scale parameter models under the Transformer architecture, such as LLaMa2, ChatGLM, and Qwen.Vision models: ViT, Grounding DINO, and SAM.AI painting: Stable Diffusion V1.5 image generation model in the AIGC field.
Cpu
Octa-core 64-bit Arm Cortex-A78AE v8.2 processor, up to 2.0GHz
Gpu
1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores

Tags

edge-inferencecomputer-visionrobotics