NVIDIA Jetson Nano enables the development of millions of new small, low-power AI systems. It opens new worlds of embedded IoT applications, including entry-level Network Video Recorders (NVRs), home robots, and intelligent gateways with full analytics capabilities.

  • SIZE
  • PERFORMANCE
  • POWER

A NEW DIMENSION IN AI

At just 70 x 45 mm, the Jetson Nano module is the smallest Jetson device. This production-ready System on Module (SOM) delivers big when it comes to deploying AI to devices at the edge across multiple industries—from smart cities to robotics.  

BIG COMPUTE PERFORMANCE

Jetson Nano delivers 472 GFLOPs for running modern AI algorithms fast. It runs multiple neural networks in parallel and processes several high-resolution sensors simultaneously, making it ideal for applications like entry-level Network Video Recorders (NVRs), home robots, and intelligent gateways with full analytics capabilities.

SMALL POWER DEMANDS

Jetson Nano frees you to innovate at the edge. Experience powerful and efficient AI, computer vision, and high-performance computing at just 5 to 10 watts.

NVIDIA Jetson Nano Module

BIG PERFORMANCE IN A POCKET-SIZE MODULE

NVIDIA Jetson Nano modules are available from distributors worldwide.

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  • Overview
  • Specs

NVIDIA® Jetson Nano Developer Kit is a small, powerful computer that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. All in an easy-to-use platform that runs in as little as 5 watts.

Developer Kit I/Os
USB 4x USB 3.0, USB 2.0 Micro-B
Camera Connector 1x MIPI CSI-2 DPHY lanes
Connectivity Gigabit Ethernet, M.2 Key E
Storage microSD (not included)
Display HDMI 2.0 and eDP 1.4
Others GPIO, I2C, I2S, SPI, UART

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Jetson Nano Developer Kit
  • Overview
  • Specs

Jetson Nano has the performance and capabilities needed to run modern AI workloads fast, making it possible to add advanced AI to any product. Jetson Nano brings AI to a world of new embedded and IOT applications, including entry-level network video recorders (NVRs), home robots, and intelligent gateways with full analytics capabilities.

Technical Specifications
GPU NVIDIA Maxwell architecture with 128 NVIDIA CUDA® cores
0.5 TFLOPs (FP16)
CPU Quad-core ARM® Cortex®-A57 MPCore processor
Memory 4 GB 64-bit LPDDR4
1600MHz - 25.6 GB/s
Storage 16 GB eMMC 5.1 Flash
Video Encode 250 MP/sec
1x 4K @ 30 (HEVC)
2x 1080p @ 60 (HEVC)
4x 1080p @ 30 (HEVC)
Video Decode 500 MP/sec
1x 4K @ 60 (HEVC)
2x 4K @ 30 (HEVC)
4x 1080p @ 60 (HEVC)
8x 1080p @ 30 (HEVC)
Camera 12 lanes (3x4 or 4x2) MIPI CSI-2 D-PHY 1.1 (18 Gbps)
Connectivity Wi-Fi requires external chip
10/100/1000 BASE-T Ethernet
Display HDMI 2.0 or DP1.2 | eDP 1.4 | DSI (1 x2) 2 simultaneous
UPHY 1 x1/2/4 PCIE, 1x USB 3.0, 3x USB 2.0
I/O 3x UART, 2x SPI, 2x I2S, 4x I2C, GPIOs
Size 69.6 mm x 45 mm
Mechanical 260-pin edge connector

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Jetson Nano Module