Overview
The Nvidia Jetson Nano is a powerful developer board from Nvidia, ideal for robotics, artificial intelligence, and edge computing. It features a quad-core ARM Cortex-A57 CPU, 128-core Maxwell GPU, and 4 GB LPDDR4 RAM.
Pinout Table
Pin Number | Name | Function | I/O | Voltage Level | Notes |
---|---|---|---|---|---|
1 | 3.3V | 3.3V Power | - | 3.3V | |
2 | 5V | 5V Power | - | 5V | |
3 | GPIO2 | GPIO | I/O | 3.3V TTL | |
4 | 5V | 5V Power | - | 5V | |
5 | GPIO3 | GPIO | I/O | 3.3V TTL | |
6 | GPIO4 | GPIO | I/O | 3.3V TTL | |
7 | GND | Ground | - | - | |
8 | GPIO5 | GPIO | I/O | 3.3V TTL | |
9 | GPIO6 | GPIO | I/O | 3.3V TTL | |
10 | GPIO7 | GPIO | I/O | 3.3V TTL | |
11 | GPIO8 | GPIO | I/O | 3.3V TTL | |
12 | GPIO9 | GPIO | I/O | 3.3V TTL | |
13 | GND | Ground | - | - | |
14 | GPIO10 | GPIO | I/O | 3.3V TTL | |
15 | GPIO11 | GPIO | I/O | 3.3V TTL | |
16 | GPIO12 | GPIO | I/O | 3.3V TTL | |
17 | GPIO13 | GPIO | I/O | 3.3V TTL | |
18 | GPIO14 | GPIO | I/O | 3.3V TTL | |
19 | GPIO15 | GPIO | I/O | 3.3V TTL | |
20 | GPIO16 | GPIO | I/O | 3.3V TTL | |
21 | GPIO17 | GPIO | I/O | 3.3V TTL | |
22 | GPIO18 | GPIO | I/O | 3.3V TTL | |
23 | GPIO19 | GPIO | I/O | 3.3V TTL | |
24 | GPIO20 | GPIO | I/O | 3.3V TTL | |
25 | GND | Ground | - | - | |
26 | 1.8V | 1.8V Power | - | 1.8V | |
27 | SDA | I2C Data | I/O | 3.3V TTL | |
28 | SCL | I2C Clock | I/O | 3.3V TTL | |
29 | GPIO22 | GPIO | I/O | 3.3V TTL | |
30 | GND | Ground | - | - | |
31 | GPIO23 | GPIO | I/O | 3.3V TTL | |
32 | GPIO24 | GPIO | I/O | 3.3V TTL | |
33 | GPIO25 | GPIO | I/O | 3.3V TTL | |
34 | GND | Ground | - | - | |
35 | GPIO26 | GPIO | I/O | 3.3V TTL | |
36 | GPIO27 | GPIO | I/O | 3.3V TTL | |
37 | GPIO28 | GPIO | I/O | 3.3V TTL | |
38 | GPIO29 | GPIO | I/O | 3.3V TTL | |
39 | GND | Ground | - | - | |
40 | GPIO21 | GPIO | I/O | 3.3V TTL |
Pinout Diagram
2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40
-----------------------------------------------------------
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39
Key Features
- Powerful computing with a quad-core ARM Cortex-A57 CPU.
- 128-core Maxwell GPU for AI and graphical tasks.
- 4 GB LPDDR4 RAM ensures smooth multitasking.
- Connectivity options including GPIO, I2C, I2S, SPI, and UART.
- Supports popular AI frameworks like TensorFlow, PyTorch, and Caffe.
- Perfect for edge computing, robotics, and AI projects.
- MicroSD slot for storage expandability.
Usage Scenarios
The Nvidia Jetson Nano is perfect for:
- Robotics projects requiring AI capabilities.
- Edge computing tasks where high processing power is necessary.
- Developing and deploying machine learning models on-device.
- AI-based camera solutions for security or recognition.
- Multimedia applications requiring GPU acceleration.
Safety Precautions
- Ensure you use an adequate power supply.
- Handle with care, considering ESD precautions.
- Disconnect from power when making hardware changes.
- Avoid short circuits and double-check pin connections.
- Keep the board in a cool, dry place for optimal performance.