Product Specifications – ChuangLeBo Jetson Orin Super Edge AI Computing Modules and AI Smart Boxes
1. Product Overview
Overview
Brand
ChuangLeBo
Product Series
Jetson Orin Nano Super, Jetson Orin NX Super, Jetson Orin Super Modules
Application
Edge AI computing for robotics, drones, smart cameras, portable medical devices, industrial automation, smart cities, and AI-enabled intelligent devices
Software Support
Compatible with NVIDIA AI software stack, cloud-native workflows, JetPack, CUDA 11.4.19, TensorRT 8.5.2, cuDNN 8.6.0, DeepStream 6.2, YOLOv5, ROS2 Foxy, Jupyter Lab, and Docker environments
Up to 67% increase compared to previous generation
AI Performance Range
20 TOPS to 157 TOPS depending on model and configuration
GPU Architecture
NVIDIA Ampere with Tensor Cores (16 to 32 cores)
CPU
ARM Cortex-A78AE v8.2 64-bit, 6 to 8 cores, up to 2.0 GHz
Memory Options
4GB, 8GB, 16GB LPDDR5 with bandwidth up to 102.4 GB/s
Storage
Includes 256GB NVMe SSD
Video Encoding
Supports up to 8K30 H.265, multiple 4K60 and 1080p60 streams
Connectivity
Gigabit Ethernet (RJ45), M.2 Key E slot (WiFi & Bluetooth optional), USB 3.2 (4 ports), USB Type-C, DisplayPort, multiple GPIO, UART, SPI, I2C interfaces
Cooling
Aluminum full enclosure with efficient heat dissipation and fan cooling
Power Consumption
7W to 25W depending on model and workload
Dimensions
103 x 90 x 34 mm
3. Model Specifications
3.1 Jetson Orin Nano Super Module
Additional details
AI Performance
34 TOPS (4GB), 67 TOPS (8GB)
GPU
512-core NVIDIA Ampere GPU with 16 Tensor Cores
GPU Max Frequency
625 MHz (4GB), 1020 MHz (8GB)
CPU
6-core ARM Cortex-A78AE v8.2, 1.5 GHz (4GB), 1.7 GHz (8GB)
Memory
4GB 64-bit LPDDR5 34GB/s or 8GB 128-bit LPDDR5 68GB/s
Video Encoding
Up to 1080p30 supported by CPU cores
Camera Interface
2x MIPI CSI-2 22-pin connectors
Network
1x Gigabit Ethernet RJ45, optional WiFi & Bluetooth module (RTL8822CE)
USB
4x USB 3.2, USB Type-C
Power
7W-10W typical, up to 25W max
Dimensions
103 x 90 x 34 mm
3.2 Jetson Orin NX Super Module
Additional details
AI Performance
117 TOPS (8GB), 157 TOPS (16GB)
GPU
1024-core NVIDIA Ampere GPU with 32 Tensor Cores
GPU Max Frequency
765 MHz (8GB), 1173 MHz (16GB)
CPU
6-core (8GB) or 8-core (16GB) ARM Cortex-A78AE v8.2, up to 2.0 GHz
Memory
8GB or 16GB 128-bit LPDDR5 102.4GB/s
Video Encoding
Supports up to 8K30 H.265, multiple 4K60 and 1080p60 streams
Camera Interface
2x MIPI CSI-2 22-pin connectors
Network
1x Gigabit Ethernet RJ45, optional WiFi & Bluetooth module (RTL8822CE)
USB
4x USB 3.2, USB Type-C
Power
7W-10W typical, up to 25W max
Dimensions
103 x 90 x 34 mm
4. AI Performance Highlights
Additional details
Large Language Models (LLM) acceleration
Up to 1.63x performance improvement over previous generation on models such as Llama 3.1/3.2, Qwen 2.5, Gemma 2, Phi 3.5, SmolLM2
Vision Language Models (VLM) and Vision Transformer (ViT) models
Up to 2.04x performance improvement
Supports dense model inference with up to 157 TOPS AI performance
Compatible with NVIDIA TensorRT acceleration and ROS2-based AI frameworks
5. AI Smart Box Features (Edge AI Smart Box)
Integrated Jetson Orin NX Super or Orin Nano Super modules
Pre-installed Ubuntu 20.04 based Jetson Linux environment with JetPack and AI frameworks
Additional details
Interfaces
Power LED, cooling fan, WiFi antenna connectors, DC power input (12V-19V), USB 3.2 ports, Type-C, DisplayPort, Gigabit Ethernet, 40-pin expansion header (UART, SPI, I2S, I2C, GPIO), buttons header, CSI camera connectors
Wireless
Optional WiFi & Bluetooth dual-band module pre-installed with antennas
Storage
256GB NVMe SSD included
Dimensions
103 x 90 x 34 mm
Designed for industrial-grade durability with full aluminum enclosure and efficient heat dissipation for long-term stable operation
6. Development Support
Comprehensive developer guide authored by frontline engineers
Step-by-step tutorials covering AI software stack, TensorRT, ROS2 acceleration, GPIO, DNN inference, Docker setup, remote desktop, and common troubleshooting
Pre-configured development environment with Jupyter Lab, jetson_inference library, ROS Foxy, and AI model training tools
Supports rapid prototyping and deployment of AI applications on edge devices
7. Package Contents (Typical for AI Smart Box)
Jetson Orin NX Super or Orin Nano Super module pre-installed
256GB NVMe SSD
Power adapter and power cable
DP to HDMI cable
USB Type-C cable
WiFi & Bluetooth antenna (if applicable)
Pre-installed software image with development environment and AI frameworks
8. Applications
Robotics and autonomous machines
Intelligent surveillance and smart cameras
Portable medical devices
Industrial automation and smart manufacturing
Smart city infrastructure
Edge AI computing requiring high performance and energy efficiency
This specification summary provides a detailed overview of ChuangLeBo’s Jetson Orin Super series edge AI computing modules and AI smart boxes, highlighting their enhanced AI performance, rich connectivity, industrial design, and comprehensive software support for accelerated AI development at the edge.
View
