NVIDIA Jetson Nano Module 4GB RAM
The NVIDIA Jetson Nano Module 4GB RAM is a high-performance System-on-Module (SoM) tailored for embedded applications and AI-powered Internet of Things (IoT) solutions. Built around the NVIDIA Tegra X1 series SoC, it integrates a quad-core ARM Cortex-A57 CPU running at up to 1.43 GHz, a 128-core Maxwell GPU operating at up to 921 MHz, 4GB of LPDDR4 memory with a peak bandwidth of 25.6 GB/s, and 16GB of eMMC 5.1 storage. This combination delivers up to 512 GFLOPS (FP16) of computational power, enabling parallel execution of multiple neural networks and real-time processing of high-resolution sensor data.
With a compact form factor of 69.6mm x 45mm and a power-efficient design consuming 5-10W, the Jetson Nano is ideal for developers, engineers, and hobbyists seeking to implement advanced AI in robotics, smart cameras, and autonomous systems. It is fully supported by the NVIDIA JetPack SDK, providing a robust software ecosystem for accelerated AI development.
Features
- Compact Design: Measures 69.6mm x 45mm, fitting seamlessly into space-constrained embedded systems.
- High-Performance GPU: 128-core Maxwell GPU supports OpenGL 4.6, Vulkan 1.1, and CUDA 11.4 for robust AI and graphics processing.
- Efficient Memory: 4GB LPDDR4 with dual-channel architecture and 25.6 GB/s bandwidth for smooth multitasking.
- Powerful CPU: Quad-core ARM Cortex-A57 at 1.43 GHz with 2MB L2 cache for reliable processing.
- AI Framework Support: Compatible with TensorFlow, PyTorch, Caffe, and other popular AI frameworks.
- Low Power Consumption: Operates at 5-10W, optimized for energy-efficient deployments.
- Rich Connectivity: Includes USB 3.0, HDMI 2.0, Gigabit Ethernet, and MIPI CSI for versatile integration.
- Integrated Storage: 16GB of eMMC 5.1 storage for reliable data retention and fast access.
Specification
| Parameter | Value | ||
|---|---|---|---|
| AI Performance | 472 GFLOPS | ||
| GPU | 128-core NVIDIA Maxwell™ architecture GPU | ||
| GPU Max Frequency | 921MHz | ||
| CPU | Quad-core ARM® Cortex®-A57 MPCore processor | ||
| CPU Max Frequency | 1.43GHz | ||
| Memory | 4GB 64-bit LPDDR4 25.6GB/s |
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| Storage | 16GB eMMC 5.1 | ||
| Video Encode | 1x 4K30 (H.265) 2x 1080p60 (H.265) |
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| Video Decode | 1x 4K60 (H.265) 4x 1080p60 (H.265) |
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| CSI Camera | Up to 4 cameras 12 lanes MIPI CSI-2 D-PHY 1.1 (up to 18 Gbps) |
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| PCIe* | 1 x4 (PCIe Gen2) |
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| USB* | 1x USB 3.0 (5 Gbps) 3x USB 2.0 |
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| Networking* | 1x GbE | ||
| Display | 2 multi-mode DP 1.2/eDP 1.4/HDMI 2.0 1 x2 DSI (1.5Gbps/lane) |
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| Other I/O | 3x UART, 2x SPI, 2x I2S, 4x I2C, GPIOs | ||
| Power | 5W – 10W | ||
| Mechanical | 69.6mm x 45mm 260-pin SO-DIMM connector |
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Applications
- Powers AI-driven navigation and control in autonomous robots.
- Enables edge intelligence in smart home and industrial IoT devices.
- Supports smart cameras with real-time image processing capabilities.
- Facilitates onboard AI for autonomous flight and object detection.
- Ideal for learning AI, computer vision, and embedded systems development.
Package Contents
- 1x NVIDIA Jetson Nano Module 4GB RAM.
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