Jetson Nano Lite Development Kit (16GB eMMC) with 64GB TF Card & Card Reader

Description

The Jetson Nano Lite Development Kit, powered by Jetson Nano (16GB eMMC) and Jetson Xavier NX, delivers powerful AI performance in a compact form factor. With nearly the same I/O, size, and thickness as the Jetson Nano Developer Kit (B01), it ensures seamless core module upgrades and enhanced flexibility.

Designed for AI and edge computing applications, this kit is ideal for image classification, object detection, segmentation, speech processing, and a wide range of real-time AI projects.

Key Specifications

• GPU: 128-core Maxwell

• CPU: Quad-core ARM A57 @ 1.43 GHz

• RAM: 4 GB 64-bit LPDDR4, 25.6 GB/s

• Storage: 16 GB eMMC + 64 GB TF Card

• Video Encoder: 250 MP/s

  • 1× 4K @ 30 (HEVC)

  • 2× 1080p @ 60 (HEVC)

  • 4× 1080p @ 30 (HEVC)

• Video Decoder: 500 MP/s

  • 1× 4K @ 60 (HEVC)

  • 2× 4K @ 30 (HEVC)

  • 4× 1080p @ 60 (HEVC)

  • 8× 1080p @ 30 (HEVC)

• Camera: 1× MIPI CSI-2 D-PHY lanes

• Connectivity: Gigabit Ethernet, M.2 Key E expansion connector

• Display: HDMI

• USB Ports:

  • 1× USB 3.2 Gen 1 Type-A

  • 2× USB 2.0 Type-A

  • 1× USB 2.0 Micro-B

• Interfaces: GPIO, I²C, I²S, SPI, UART

• Dimensions: 100 × 80 × 29 mm

What’s Inside the Kit

• 1× Jetson Nano Lite Development Kit (Carrier + Nano + Heatsink)

• 1× 64 GB TF Card

• 1× Card Reader

Frequently Asked Questions (FAQs)

Q1. What can the Jetson Nano Lite Development Kit be used for?
It is designed for AI, ML, robotics, and IoT development, enabling real-time computer vision, deep learning, and edge AI projects.

Q2. How is the Jetson Nano Lite different from the standard Developer Kit?
The Lite version is a cost-effective, simplified alternative to the Jetson Nano Developer Kit, delivering GPU-accelerated AI performance with reduced hardware complexity, making it more affordable and beginner-friendly.

Q3. Does it support TensorFlow and PyTorch?
Yes. It supports TensorFlow, PyTorch, Caffe, and other popular AI frameworks for training and deploying deep learning models.

Q4. What are the main features of this kit?
Highlights include an NVIDIA GPU for AI acceleration, support for multiple AI frameworks, GPIO pins for robotics & IoT, low power consumption, and edge AI compatibility.

Q5. Who should use the Jetson Nano Lite Development Kit?
Perfect for students, educators, hobbyists, researchers, and developers looking to learn AI, build robotics, prototype IoT solutions, or experiment with computer vision at an affordable cost.