Overview
AIBOX-OrinNano Jetson Orin Nano Embedded PC is an edge AI computer from Firefly built on Jetson Orin Nano, rated by Firefly at 67 TOPS. Firefly publishes a fixed price for this configuration and sells direct.
Key Features
- AI compute: 67 TOPS
- Accelerator: Jetson Orin Nano
- Networking: 1 × Gigabit Ethernet (1000Mbps / RJ45)
- 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
67 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 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.
Cpu
Hexa-core 64-bit ARM Cortex-A78AE v8.2 processor, up to 1.7GHz
Power
DC 12V（DC 5.5 x 2.1mm）
Power consumption
Normal: 7.2W (12V/600mA)Max: 18W (12V/1500mA)
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
Environment
Operating temperature: -20℃～60℃Storage temperature: -20℃～70℃Storage Humidity: 10%～90%RH (non-condensing)
Watchdog
Support external watchdog
Ethernet
1 × Gigabit Ethernet (1000Mbps / RJ45)
Usb
2 × USB 3.0 (Max: 1A)
Other
1 × Type-C (USB 2.0 OTG)1 × Console (debug serial port)1 × Recovery1 × power button
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.
Operating temperature
-20℃～60℃
Storage temperature
-20℃～70℃
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
Prices may vary. Verify on vendor site.
Quick Specs
- Ai performance
- 67 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 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.
- Cpu
- Hexa-core 64-bit ARM Cortex-A78AE v8.2 processor, up to 1.7GHz
- Power
- DC 12V（DC 5.5 x 2.1mm）