Industrial-grade aluminum full enclosure for efficient heat dissipation and long-term stable operation
Optional wireless network card with dual-band WiFi and Bluetooth module pre-installed with antenna
Supports NVIDIA CUDA 11.4.19, TensorRT 8.5.2, cuDNN 8.6.0, DeepStream 6.2, YOLOv5, and other AI frameworks
Pre-installed Ubuntu 20.04 based Jetson Linux environment with JetPack components
Includes Jupyter Lab development environment and jetson_inference learning library
Docker-based ROS2 Foxy setup with GPIO, DNN inference, video viewer, and remote desktop support
Comprehensive developer guide by ChuangLeBo engineers covering AI software stack, frameworks, and practical implementation examples
Supports large language models (LLM), vision-language models (VLM), and vision transformers with significant performance improvements over previous generations (up to 2.04x)
Additional details
AI Smart Box interfaces
power LED, cooling fan, wireless antenna ports, USB3, Type-C, DP, Gigabit Ethernet, 40-pin expansion header, buttons, CSI camera connectors, and power button
Jetson Orin Super CLB Development Kit available with options for Orin Nano Super or Orin NX Super modules, including fan power, multiple CSI cameras, USB3.2 ports, DP, RJ45, M.2 SSD slot, and WiFi/Bluetooth module
Additional details
Application scenarios
robotics, drones, intelligent cameras, portable medical devices, smart cities, industrial AI, and edge computing devices requiring high concurrency and computing power
Jetson Orin NX or Orin Nano module with 256GB NVMe SSD
Power adapter and cable (12V-19V)
DP to HDMI cable
Type-C cable
Optional WiFi & Bluetooth module with antennas (for WiFi version)
Pre-installed software image with development environment and AI frameworks
All specifications are subject to change based on configuration and model selection.
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