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    Home»Gadgets»Chips to Boards»NVIDIA Jetson Series
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    NVIDIA Jetson Series

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    NVIDIA’s Jetson Series represents a groundbreaking line of AI computing platforms designed for edge devices and embedded systems. The series includes the Jetson Nano and Jetson Xavier NX, which offer powerful AI capabilities in compact, energy-efficient form factors[1][3].

    Jetson Nano

    The Jetson Nano is an entry-level AI computer that brings the power of modern artificial intelligence to makers, learners, and developers. It offers:

    • 128-core NVIDIA Maxwell GPU
    • Quad-core ARM Cortex-A57 CPU
    • 4GB LPDDR4 memory
    • 5-10W power consumption[3]

    This small but mighty device enables the development of AI applications for robotics, smart cameras, and IoT devices.

    Jetson Xavier NX

    The Jetson Xavier NX is a more powerful module that delivers up to 21 TOPS (Tera Operations Per Second) of AI performance. Its key features include:

    • 384-core NVIDIA Volta GPU with 48 Tensor cores
    • 6-core NVIDIA Carmel ARM v8.2 64-bit CPU
    • 8GB LPDDR4X memory
    • 10-20W power consumption[3]

    This module is ideal for higher-performance edge AI applications and autonomous machines.

    Software and Development

    Both platforms run on NVIDIA’s JetPack SDK, which includes:

    • Linux for Tegra (L4T) operating system
    • CUDA-X accelerated libraries
    • TensorRT for high-performance deep learning inference[1]

    These tools enable developers to quickly deploy AI applications and neural networks on Jetson devices.

    Applications

    The Jetson series finds applications in various fields:

    • Robotics and drones
    • Smart cities and traffic management
    • Industrial IoT and manufacturing
    • Healthcare and medical imaging[2][4]

    By providing powerful AI capabilities at the edge, Jetson devices enable real-time decision-making and reduce the need for cloud connectivity in many scenarios.

    In conclusion, NVIDIA’s Jetson Series, particularly the Nano and Xavier NX, offers a range of AI computing options for edge devices. These platforms combine high performance with energy efficiency, making them ideal for developing and deploying AI applications in resource-constrained environments.

    Further Reading

    1. Get Started With Jetson Nano Developer Kit | NVIDIA Developer
    2. Introduction – Arducam Wiki
    3. Nvidia Jetson – Wikipedia
    4. An Introduction to Nvidia Jetson – Premio Inc
    5. The NVIDIA Jetson Series – Part 1 (Jetson-Stats) | InfluxData

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