Specifications
AI Performance
67 TOPS (INT8, Super Mode)
SoC
NVIDIA Jetson Orin Nano 8GB module
CPU
Hexa-core 64-bit Arm Cortex-A78AE v8.2, up to 1.7 GHz
GPU
1024-core NVIDIA Ampere GPU, 32 Tensor Cores
Memory
8GB LPDDR5 (128-bit, 102 GB/s)
Storage
1x M.2 (2242 / 2260 / 2280) PCIe NVMe SSD expansion
Video Decode
1x 4K60 / 2x 4K30 / 5x 1080p60 H.265
Ethernet
1x Gigabit Ethernet RJ45
Wireless
Wi-Fi 6 / Bluetooth 5.2 via M.2 (module separate)
Cellular
4G LTE via Mini PCIe + SIM slot
Serial / Fieldbus
1x RS-485, 1x RS-232, 1x CAN 2.0 via Phoenix 2x4-pin
USB
2x USB 3.0 Type-A, 1x Type-C (USB 2.0 / debug)
Display
1x HDMI 2.0, up to 4K@60fps
Audio
1x 3.5mm jack, MIC recording (CTIA)
Power Input
9-24V DC wide input (12V nominal, 5.5x2.1mm)
Operating Temp
-20C to 60C; 10-90% RH non-condensing
Enclosure
Fanless aluminium, wall-mount design
Dimensions
188 x 88.44 x 50.65 mm
Software
Ubuntu 22.04 Jetson BSP, CUDA, TensorRT, cuDNN, JetPack
Certifications
CE / FCC · 1-year Firefly warranty
Overview
The Firefly EC-OrinNano is a compact, fanless industrial edge AI computer built around the NVIDIA Jetson Orin Nano system-on-module. Delivering up to 67 TOPS of INT8 AI performance in Super Mode, it pairs a 1024-core NVIDIA Ampere GPU (32 Tensor Cores) with a hexa-core Arm Cortex-A78AE CPU and 8GB of LPDDR5 memory. The fully aluminium, passively cooled chassis is designed for 24/7 unattended operation in factories, cabinets, and vehicles.
For deployment flexibility the EC-OrinNano exposes a rich industrial I/O set: Gigabit Ethernet, 2x USB 3.0, HDMI 2.0, and a Phoenix terminal block carrying isolated RS-485, RS-232 and CAN 2.0. An M.2 slot accepts 2242/2260/2280 NVMe storage, while Wi-Fi 6 / Bluetooth 5.2 and 4G LTE expansion are supported through M.2 and Mini PCIe. The wide 9-24V DC input and -20C to 60C operating range make it suitable for battery and vehicle power systems.
Preloaded with an Ubuntu 22.04-based Jetson BSP including CUDA, TensorRT and cuDNN, the EC-OrinNano runs modern generative and vision AI locally at the edge. It supports private deployment of LLMs (LLaMA2, ChatGLM, Qwen), vision models (ViT, Grounding DINO, SAM), and AIGC image generation (Stable Diffusion), with Docker container support for easy OTA model updates.
Key Benefits
67 TOPS in a fanless aluminium chassis for silent, maintenance-free operation. True industrial I/O with isolated RS-485/RS-232/CAN 2.0. Wide 9-24V DC input and -20C~60C range for vehicles and cabinets. M.2 NVMe storage plus Wi-Fi 6 and 4G LTE expansion. Full NVIDIA JetPack software stack (CUDA, TensorRT, cuDNN) with Docker.
Applications
Edge generative AI and LLM inference, robotics and AMR localisation, smart city and traffic video analytics, smart manufacturing AOI, smart healthcare imaging, and large-model positioning at the network edge.
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