AIO-OrinNano Jetson Orin Nano Robotics Motherboard

AIO-OrinNano is equipped with NVIDIA Jetson Orin Nano core module, providing up to 67 TOPS computing power, supporting private deployment of modern mainstream AI models, and supporting up to 4K video decoding. It has comprehensive connection options, including Gigabit Ethernet, dual-band WiFi, 4G/5G, Bluetooth and multiple video I/O interfaces, running on Linux operating system, and is very suitable for edge AI applications, robots, smart drones, smart monitoring systems and other industrial AI applications.

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Feature

• High-Performance Edge Computing Module: Equipped with the NVIDIA Jetson Orin Nano edge computing module (8GB version), it uses a six-core ARM CPU and a 1024-core NVIDIA Ampere architecture GPU (32 Tensor Cores), which can run multiple AI application pipelines concurrently, bringing powerful AI performance.
• Up to 67 TOPS Computing Power: It has an AI performance of up to 67 TOPS and supports mainstream AI models such as Transformer and ROS robot models. It supports TensorFlow, OpenCV, JetPack, MXNet, PyTorch and other frameworks to build complex deep neural networks, and has the capabilities of object recognition, target detection and tracking, speech recognition, and visual development, adapting to a variety of AI application scenarios.
• Full-Scale Model Private Deployment: Supports private deployment of modern mainstream AI models, including large language models like LLaMA-2, ChatGLM, and Qwen; vision foundation models such as ViT, Grounding DINO, and SAM; as well as AIGC models like Stable Diffusion V1.5 for image generation.
• Supports Up to 4K Video Decoding: It can decode 11 channels of 1080p30 H.265 videos and supports: 1x4K60 (H.265), 2x4K30 (H.265), and 5x1080p60 (H.265). It meets the needs of various AI-driven visual applications.

Applications

• Edge Generative AI: The NVIDIA Jetson Orin series provides powerful AI computing capabilities, large unified memory, and a comprehensive software stack to execute the latest generative AI applications with ultra-efficiency. It can quickly infer any Transformer-based generative AI model and achieve excellent edge performance in MLPerf benchmarks.
  
• AI Software Stack and Ecosystem: Democratize edge AI and robotics development with a complete AI software stack and ecosystem, powered by Edge-Generated AI, NVIDIA Metropolis, and the Isaac platform. NVIDIA JetPack, Isaac ROS, and reference AI workflows enable you to integrate advanced technologies into your products without relying on expensive in-house AI resources.
  
• Wide Range of Applications: Applicable to industries such as edge computing, robotics, large-scale model positioning, smart cities, smart medical care, and smart industrial applications.
  

Hardware Overview