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NVIDIA

NVIDIA 900-13448-0020-000 | Jetson Nano Module | Quad-core ARM A57 | 128-core Maxwell GPU | 4GB LPDDR4 | 16GB eMMC | 5W/10W modes

SKU:900-13448-0020-000

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Description

Embedded AI compute module delivering efficient CUDA-accelerated inference and multimedia processing for edge devices. Combines a quad-core ARM CPU and 128-core Maxwell GPU with 4GB LPDDR4 and onboard eMMC for production deployments on custom carrier boards. Ideal for vision, robotics, and IoT gateways requiring low power and high performance.

Features

- Edge AI acceleration with CUDA-enabled Maxwell GPU
- Balanced performance-per-watt for compact, fanless designs
- On-module eMMC for robust production deployments
- Rich I/O via carrier board for vision and robotics use cases
- Mature software ecosystem with JetPack and popular AI frameworks

Warranty

All products sold by XS Network Tech include a 12-month warranty on both new and used items. Our in-house technical team thoroughly tests used hardware prior to sale to ensure enterprise-grade reliability.

All technical data should be verified on the manufacturer data sheets.

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FAQs

Technical Specifications

FAQs

Q: Is this the production module or the developer kit?
A: This is the module for integration on a carrier board, not the standalone developer kit.

Q: Does the module include onboard storage?
A: Yes, this variant includes 16GB eMMC for reliable production deployments.

Q: What software stack is supported?
A: Supports NVIDIA JetPack SDK, including CUDA, cuDNN, and TensorRT for accelerated AI and multimedia.

Q: Do I need a carrier board?
A: Yes, the module requires a compatible carrier board to expose I/O (display, CSI, Ethernet, etc.).

Q: What are typical power modes?
A: Configurable 5W and 10W modes to balance performance and power consumption.

Technical Specifications

- CPU: Quad-core ARM Cortex-A57 (up to ~1.43 GHz)
- GPU: 128-core NVIDIA Maxwell with CUDA support
- Memory: 4GB 64-bit LPDDR4 (approx. 25.6 GB/s)
- Storage: 16GB eMMC 5.1 (module variant)
- Video: Hardware-accelerated H.264/H.265 encode/decode (4K-class capabilities)
- I/O: PCIe Gen2, GbE (via carrier), MIPI CSI-2 (up to 12 lanes), I2C, SPI, UART, GPIO
- Power modes: 5W and 10W configurable
- Form factor: 260-pin edge connector module (approx. 69.6 x 45 mm)
- Software: JetPack SDK with CUDA, cuDNN, TensorRT support

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