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Edge AI mini computer based on the NVIDIA® Jetson Nano™ 4GB module, delivering up to 0,5 TFLOPS FP16 of AI performance for computer vision, machine learning, and robotics applications. Equipped with a quad-core Arm® Cortex®-A57 processor, a 128-core NVIDIA Maxwell™ GPU with CUDA® cores, 4 GB LPDDR4 memory, 16 GB eMMC storage, and a comprehensive set of interfaces including 4× USB 3.0, Gigabit Ethernet, HDMI, DisplayPort, M.2 Key M, and two MIPI CSI-2 camera connectors. Seeed Studio. 110061441
The Edge AI mini computer is designed for developing and deploying artificial intelligence applications directly at the edge. Built around the NVIDIA® Jetson Nano™ 4GB module, it delivers up to 0,5 TFLOPS FP16 of AI performance and supports the NVIDIA® JetPack™ 4.6.1 platform, enabling the development of applications for computer vision, machine learning, autonomous mobile robots (AMR), and intelligent monitoring systems. The manufacturer positions the system as a replacement for the discontinued NVIDIA® Jetson Nano™ Developer Kit.


A compact aluminum enclosure with a passive heatsink provides efficient heat dissipation without the need for a cooling fan, improving reliability while reducing operating noise. The computer features 16 GB eMMC storage and an M.2 Key M slot for installing an NVMe SSD. It also includes a 40-pin Raspberry Pi™ compatible GPIO header, UART, RTC, and a 5 V PWM fan connector for system expansion and peripheral integration.
Four USB 3.0 ports, Gigabit Ethernet, HDMI and DisplayPort outputs, and two MIPI CSI-2 camera connectors enable simultaneous connection of peripherals, displays, and cameras. Its compact dimensions and support for desktop or wall mounting make the system suitable for machine vision, machine learning, autonomous mobile robots (AMR), intelligent surveillance, and other Edge AI applications requiring local data processing.
Note!
The kit does not include a 3 V RTC battery.
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Edge AI mini computer based on the NVIDIA® Jetson Nano™ 4GB module, delivering up to 0,5 TFLOPS FP16 of AI performance for computer vision, machine learning, and robotics applications. Equipped with a quad-core Arm® Cortex®-A57 processor, a 128-core NVIDIA Maxwell™ GPU with CUDA® cores, 4 GB LPDDR4 memory, 16 GB eMMC storage, and a comprehensive set of interfaces including 4× USB 3.0, Gigabit Ethernet, HDMI, DisplayPort, M.2 Key M, and two MIPI CSI-2 camera connectors. Seeed Studio. 110061441