EC-OrinNano 67TOPS computing power AI edge computing host Jetson module NVIDIA Nvidia

NVIDIA Jetson OrinNano (8GB) module

67 TOPS

H.265：1x4K60, 3x4K30, 6x1080p60, 12x1080p30

H.265: 1x8K30, 2x4K60, 4x4K30, 9x1080p60, 18x1080p30

16GB LPDDR5

Hexa-core 64-bit ARM Cortex-A78AE v8.2 processor, up to 1.7GHz

1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores

1 x M.2 (internal device, PCIe NVMe SSD expansion available, supporting 2242/2260/2280)

DC 12V (5.5 mm x 2.1 mm, 9-24V wide input voltage)

1 x HDMI2.0（4K@60fps)

1 x 3.5mm audio jack, supporting MIC recording, CTIA standard

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.

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.

188 mm x 88.44 mm x 50.65mm

Operating temperature: -20℃～60℃

Operating humidity: 10%～90%RH (non-condensing)

Ethernet: 1 x Gigabit Ethernet (RJ45) WiFi: WiFi 6 / BT 5.2 modules expansion available via the M.2 interface

4G: 4G LTE expansion available via the Mini PCIe

• 1 x Type-C (USB 2.0/DEBUG)
• 1 x SIM card
• 1 x Phoenix connector (2*4Pin, 3.5mm pitch): 1 x RS485, 1 x RS232, 1 x CAN 2.0