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Product Code: MNHO-293
MPN #: EC-OrinNX(16GB)
Imagine you need AI power at the edge but you cannot fit a noisy, bulky box into your project. The Firefly EC-OrinNX Jetson Orin NX Edge AI Fanless PC, 16GB/128GB Without wifi gives you a compact, silent computer that runs deep-learning models right where the data is created. It solves the common problem of overheating and space limits in industrial or field deployments, letting you run vision, language, or robotics AI without a cooling fan.
Many edge devices struggle with heat, power spikes, and the need for a full desktop PC. When a device overheats, it shuts down and your AI task stops, causing costly downtime. This problem matters because every second of missed inference can mean lost data or delayed decisions. The Firefly PC removes the fan, uses a low-voltage 12 V supply, and packs an octa-core CPU with a 1024-core GPU, delivering 157 TOPS in a box the size of a small router. It gives you reliable performance, quiet operation, and the ability to mount it in tight enclosures.
| AI Performance | 157 TOPS |
| CPU | Octa-core Arm® Cortex®-A78AE v8.2 64-bit CPU, up to 2.0GHz |
| GPU | 1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores |
| Storage | 1 × M.2 (internal device, PCIe NVMe SSD expansion available, supporting 2242/2260/2280) |
| Power | DC 12V (5.5mm × 2.1mm, 9-24V wide input voltage) |
| Audio | 1 × 3.5mm audio jack, supporting MIC recording, CTIA standard |
| OS |
Based on Ubuntu 22.04, the Jetson system provides a comprehensive desktop Linux environment with accelerated graphics, supporting NVIDIA CUDA 11.4.19, TensorRT 8.5.2, and CuDNN 8.6.0 |
| Software Support |
Robotic Models: ROS models Large Language Models: Private deployment of Transformer-based ultra-large-scale parameter models 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 Deep Learning Frameworks: TensorFlow, PyTorch, MXNet, ONNX, PaddlePaddle, Darknet, and custom operator development Traditional Network Architectures: CNN, RNN, and LSTM Docker Containerization: Docker container management technology for easy image deployment |
| Dimension | 188mm × 88.44mm × 50.65mm |
| Environment |
Operating Temperature: -20℃~60℃ Operating Humidity: 10%~90%RH (non-condensing) |
| Network |
Ethernet: 1 × Gigabit Ethernet (RJ45) |
| USB | 2 × USB 3.0 |
| Other |
1 × Type-C (USB 2.0/DEBUG) 1 × SIM Card1 × Phoenix connector (2 × 4Pin, 3.5mm pitch): 1 × RS485, 1 × RS232, 1 × CAN 2.0 |
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We are retiring PICOPC Products MNHO-073, MNHO-048 and MNHO-043 and they have reached EOL (End Of Life) as we are introducing new products with better technology. We would recommend you to look into MNHO-095. For Untangle, pfSense, OPNsense, Windows 11, Proxmox VE etc. we recommend MNHO-095 whereas for Sophos, Kerio Control and Endian, we would recommend MNHO-069. (A complete list of supported OS can be found in each product's listing)