NVIDIA® Jetson Nano™ 2GB Developer Kit with 802.11ac Wireless Adapter

The NVIDIA Jetson Nano 2GB Developer Kit brings GPU-accelerated AI computing to an affordable, compact platform. Powered by a 128-core Maxwell GPU and quad-core ARM A57 CPU, it runs the full NVIDIA JetPack SDK with CUDA-X support — the same software stack used in professional AI development.

This version includes an 802.11ac wireless adapter for Wi-Fi connectivity alongside the Gigabit Ethernet port. The 40-pin GPIO header, MIPI CSI-2 camera connector, USB ports, and HDMI output provide a complete set of interfaces for robotics, computer vision, and edge AI projects.

Key Features

• 128-Core NVIDIA Maxwell GPU – Hardware-accelerated AI inference and training
• Quad-Core ARM A57 CPU – Running at 1.43 GHz
• 2 GB LPDDR4 RAM – 64-bit, 25.6 GB/s bandwidth
• 802.11ac Wi-Fi – Wireless adapter included
• Gigabit Ethernet – Wired network connectivity
• NVIDIA JetPack SDK – Linux environment with CUDA-X, containerisation support
• MIPI CSI-2 Camera Port – Direct camera module connection
• HDMI Output – Display connectivity
• 40-Pin GPIO Header – GPIO, I2C, I2S, SPI, UART

Specifications

• GPU – 128-core NVIDIA Maxwell
• CPU – Quad-core ARM A57 @ 1.43 GHz
• Memory – 2 GB 64-bit LPDDR4 (25.6 GB/s)
• Storage – MicroSD (card not included)
• Video Encode – 4K @ 30 fps, 4× 1080p @ 30, 9× 720p @ 30 (H.264/H.265)
• Video Decode – 4K @ 60 fps, 2× 4K @ 30, 8× 1080p @ 30, 18× 720p @ 30 (H.264/H.265)
• Camera – 1× MIPI CSI-2 connector
• USB – 1× USB 3.0 Type-A, 2× USB 2.0 Type-A, 1× USB 2.0 Micro-B
• Headers – 40-pin GPIO, 12-pin power/UART, 4-pin fan
• Power – USB-C, 5V / 3A
• Dimensions – 100 × 80 × 29 mm

Ideal For

• AI and machine learning at the edge
• Robotics platforms (NVIDIA JetBot, Isaac)
• Computer vision and image classification
• STEM education and AI coursework

Resources

• Getting Started Guide
• Jetson Download Centre