Details
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.
Key Features
- Jetson Nano SoM
- Powerful GPU and CPU for AI graphic applications
- 16GB eMMC, rich interfaces for development, and M.2 Key E connector for connection
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.
Technical Specification :
| 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 ENCODER |
250 MP/sec 1x 4K @ 30 (HEVC) 2x 1080p @ 60 (HEVC) 4x 1080p @ 30 (HEVC) |
| VIDEO DECODER |
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 | 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 |
