Overview
EC-OrinNano Jetson Orin Nano Edge AI Fanless 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
- Storage: 1 x M.2 (internal device, PCIe NVMe SSD expansion available, supporting 2242/2260/2280)
- Networking: Ethernet: 1 x Gigabit Ethernet (RJ45) WiFi: WiFi 6 / BT 5.2 modules expansion available via the M.2 interface4G: 4G LTE expansion available via the Mini PCIe
- OS: Based on Ubuntu 22.04, the Jetson system offers a comprehensive desktop Linux environment with accelerated graphics, supporting libraries such as NVIDIA CUDA 11.4.19, TensorRT 8.5.2, and CuDNN 8.6.0.
Ideal For
developers deploying vision or small-model inference at the edge on an ARM NPU rather than a GPU
Ai performance
67 TOPS
Cpu
Hexa-core 64-bit ARM Cortex-A78AE v8.2 processor, up to 1.7GHz
Gpu
1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores
Storage
1 x M.2 (internal device, PCIe NVMe SSD expansion available, supporting 2242/2260/2280)
Power
DC 12V (5.5 mm x 2.1 mm, 9-24V wide input voltage)
Display
1 x HDMI2.0（4K@60fps)
Audio
1 x 3.5mm audio jack, supporting MIC recording, CTIA standard
Os
Based on Ubuntu 22.04, the Jetson system offers a comprehensive desktop Linux environment with accelerated graphics, supporting libraries such as NVIDIA CUDA 11.4.19, TensorRT 8.5.2, and CuDNN 8.6.0.
Dimension
188 mm x 88.44 mm x 50.65mm
Environment
Operating temperature: -20℃～60℃ Operating humidity: 10%～90%RH (non-condensing)
Network
Ethernet: 1 x Gigabit Ethernet (RJ45) WiFi: WiFi 6 / BT 5.2 modules expansion available via the M.2 interface4G: 4G LTE expansion available via the Mini PCIe
Other
1 x Type-C (USB 2.0/DEBUG)1 x SIM card1 x Phoenix connector (2*4Pin, 3.5mm pitch): 1 x RS485, 1 x RS232, 1 x CAN 2.0
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.
Traditional network architectures
Traditional network architectures such as CNN, RNN, and LSTM; a variety of deep learning frameworks include TensorFlow, PyTorch, MXNet, ONNX, PaddlePaddle, and Darknet; custom operator development
Docker containerization
Docker container management technology, facilitates easy image deployment.
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
Prices may vary. Verify on vendor site.
Quick Specs
- Ai performance
- 67 TOPS
- Cpu
- Hexa-core 64-bit ARM Cortex-A78AE v8.2 processor, up to 1.7GHz
- Gpu
- 1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores
- Storage
- 1 x M.2 (internal device, PCIe NVMe SSD expansion available, supporting 2242/2260/2280)
- Power
- DC 12V (5.5 mm x 2.1 mm, 9-24V wide input voltage)
- Display
- 1 x HDMI2.0（4K@60fps)