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Waveshare Jetson Nano Development Lite Carrier Board

₹5,599.00 (Inclusive of all taxes)
Out of Stock

The Waveshare Jetson Nano Development Lite Carrier Board is a cost-optimized baseboard for NVIDIA Jetson Nano and Xavier NX modules, providing essential I/O for AI vision, speech, and detection tasks while maintaining compatibility with the official Dev Kit form factor.

Features

  • Supports both NVIDIA Jetson Nano and Jetson Xavier NX core modules for scalable AI performance.
  • Maintains identical size and primary I/O layout as the official Jetson Nano Developer Kit (B01) for seamless project migration.
  • Ideal for AI inference workloads including image classification, object detection, semantic segmentation, and speech processing.
  • Features dedicated power and reset buttons for improved system control and development convenience.
  • Cost-effective solution for applications requiring core module performance with fewer peripheral interfaces.

Out of stock

Description

The Waveshare Jetson Nano Development Lite Carrier Board is engineered as a minimalist, cost-effective foundation for deploying NVIDIA’s powerful Jetson Nano and Xavier NX system-on-modules. It replicates the critical form factor and core interface layout of the official NVIDIA Jetson Nano 2GB Developer Kit, ensuring hardware and mechanical compatibility for enclosures and existing designs.

This carrier board provides the essential power delivery, boot configuration, and core I/O—including a CSI camera interface—required to harness the module’s 128-core Maxwell GPU and quad-core ARM Cortex-A57 CPU for edge AI applications. By streamlining onboard peripherals, it offers a focused platform for developers and integrators building vision-based AIoT systems, robotics controllers, or embedded AI appliances where minimizing Bill of Materials (BOM) cost is paramount without sacrificing computational throughput.

Key Features

  • Compact carrier board designed specifically for NVIDIA Jetson Nano and Jetson Xavier NX modules.
  • Provides essential power regulation, boot configuration, and core system interfaces.
  • Includes one dedicated MIPI CSI-2 camera interface for connecting Raspberry Pi or compatible camera modules.
  • Features user-accessible power and reset buttons for simplified development and system control.
  • Maintains full mechanical and electrical compatibility with the standard Jetson Nano Developer Kit footprint.
  • Ideal platform for deploying TensorRT-accelerated AI models in cost-sensitive edge computing applications.

Applications

  • Edge AI inference devices for computer vision (object detection, classification).
  • Embedded robotics and autonomous navigation platforms.
  • Smart video analytics and IoT gateway systems.
  • Prototyping cost-optimized AI appliances and kiosks.
  • Educational platforms for machine learning and embedded systems development.

Technical Specifications

Supported ModulesNVIDIA Jetson Nano, Jetson Xavier NX
Camera Interface1× MIPI CSI-2
Form FactorJetson Nano Developer Kit (B01) Compatible
Dimensions (LxW)100mm x 80mm (approx.)
Weight68g

Frequently Asked Questions

What core modules are compatible with this Waveshare carrier board?

This carrier board is designed to support both the NVIDIA Jetson Nano module (including the 16GB eMMC variant) and the more powerful Jetson Xavier NX module. You simply seat the compatible SOM onto the board's connector, ensuring proper alignment. The board provides the necessary power delivery, boot configuration, and core I/O for either module to function.

How does this 'Lite' version differ from the official NVIDIA Jetson Nano Developer Kit?

The Waveshare Lite version maintains the same physical size, mounting holes, and primary I/O connector layout as the official Dev Kit (B01). The key difference is a reduced set of onboard peripheral interfaces (like fewer USB ports or display outputs) to achieve a lower cost. It focuses on providing the essential connections—like power, CSI camera, and core GPIO—making it ideal for streamlined AI applications where cost is a factor.

What power supply is required, and how do I connect a camera?

The board requires a stable 5V/4A DC power supply via the barrel jack connector (note: power adapter not included). For camera connectivity, it features one standard MIPI CSI-2 15-pin FPC connector. You can connect a compatible Raspberry Pi Camera Module (using a flat flex cable) or other CSI-2 cameras. Ensure the camera is configured for the correct CSI interface in your JetPack OS software.

Can I use this board with the JetPack SDK and typical AI workflows?

Yes, absolutely. You install your compatible Jetson Nano or Xavier NX module, flash it with the standard NVIDIA JetPack SDK using the microSD card slot or USB recovery mode, and develop using TensorRT, CUDA, and frameworks like TensorFlow or PyTorch. The board supports the full software stack. The included power and reset buttons provide convenient control during development and deployment.

Package Includes

  • 1 x Waveshare Jetson Nano Development Lite Version Carrier Board

Additional Information

Weight 0.068 kg
Dimensions 10 × 8 cm