Jetson Nano Developer Kit 4GB 16GB eMMC

1. Product Summary

The Jetson Nano B01 is an embedded system-on-module (SoM) developed by NVIDIA, specifically engineered for edge AI, machine learning, and computer vision applications. This enhanced version of the original model delivers superior performance for embedded artificial intelligence solutions.

2. Key Specifications

Processor:

• CPU: Quad-core ARM Cortex-A57 @ 1.43 GHz

• GPU: NVIDIA Maxwell with 128 CUDA cores

Memory:

• 4GB 64-bit LPDDR4 RAM

Storage:

• 16GB eMMC  support 

• microSD slot (for OS)

• M.2 Key E slot (for NVMe storage or wireless modules)

Connectivity:

• 4× USB 3.0 ports

• 1× USB 2.0 Micro-B (power/communication)

• 1× HDMI 2.0 (4K @ 30Hz)

• 1× DisplayPort 1.2

• Gigabit Ethernet

• MIPI CSI-2 camera connector (2 lanes)

Power:

• 5V/4A via barrel jack

• Alternative: 5V/2A via Micro-USB (low-power mode)

GPIO:

• 40-pin expansion header (Raspberry Pi compatible)

• Includes UART, I2C, SPI, PWM interfaces

3. AI Performance

• Capable of running complex neural networks

• Supports TensorRT for model optimization

• Framework compatibility:

  • TensorFlow

  • PyTorch

  • Caffe

  • OpenCV

4. Thermal Management

• Requires active cooling for sustained workloads

• Supports 5V fans via 4-pin header

5. Supported OS

• Linux for Tegra (L4T) Ubuntu-based

• Docker support

• NVIDIA JetPack SDK compatible

6. B01 vs Original Model

• Improved power connector (barrel jack vs Micro-USB)

• Enhanced port layout

• Added M.2 Key E support

• Optimized power efficiency

7. Typical Applications

• Embedded computer vision

• AI-powered robots and drones

• Smart surveillance systems

• Advanced IoT devices

• AI application prototyping

8. Physical Specifications

• Dimensions: 100 mm × 80 mm × 29 mm

• Weight: ~138 g

• Operating temperature: 0°C to 40°C

9. Software Ecosystem

• NVIDIA JetPack SDK

• CUDA, cuDNN support

• Full computer vision pipeline

• Hardware-accelerated libraries

10. Recommended Accessories

• eMMC module for fast storage

• Raspberry Pi or NVIDIA cameras

• High-performance microSD card

• Quality 5V/4A power supply

• Protective case with cooling solution

This compact AI system delivers exceptional performance-per-watt for deploying edge AI solutions. Its compatibility with popular AI frameworks and extensive connectivity options make it an ideal platform for developing and deploying intelligent embedded applications.

The Jetson Nano B01 represents a significant upgrade over the original model, particularly in terms of power delivery and expansion capabilities, while maintaining the same accessible price point for developers and makers.

Tags: jetson, nano, developer, kit, 4gb, 16gb, emmc