Development Board

  1. NVIDIA Jetson AGX Thor Developer Kit: The Future of Robotics and AI

    NVIDIA Jetson AGX Thor Developer Kit: The Future of Robotics and AI

    Introduction to NVIDIA Jetson AGX Thor

    The NVIDIA Jetson AGX Thor Developer Kit is not just another development board—it’s a revolution in robotics and physical AI computing

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  2. NVIDIA Jetson Thor Module: Redefining Physical AI and Robotics

    NVIDIA Jetson Thor Module: Redefining Physical AI and Robotics

    Introduction to NVIDIA Jetson Thor Module

    The NVIDIA Jetson Thor Module (T5000) is a system-on-module (SOM) that pushes the boundaries of physical AI and robotics computing. With 2070 FP4 TFLOPS of AI compute, a 14-core Arm Neoverse-V3AE CPU, and

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  3. NVIDIA Jetson Orin Nano Super Developer Kit vs Tanna TechBiz Eagle-201 Full System : Which AI Platform Is Right for You?

    The NVIDIA Jetson Orin Nano ecosystem continues to empower developers, researchers, and businesses with industry-leading edge AI capabilities. There are two distinct options in this ecosystem:

    Tanna TechBiz Eagle-201 Complete System with NVIDIA Jetson Orin Nano 8GB/4GB Module

    Official NVIDIA Jetson Orin Nano Super Developer Kit

    Both platforms offer exceptional performance and flexibility for edge AI, robotics, and intelligent vision applications. But which one is better suited for your needs? In this blog, we compare them in terms of performance, I/O, applications, and deployment readiness.

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  4. Types of Microcontroller Development Boards And their Applications

    Technology continues to grow, and the microcontroller development board plays a big part in helping novices and experienced individuals bring their ideas to life. From school work to smart homes, there are microcontroller development boards that are put in place to create, develop, and launch various tech solutions. Whether it's towards automating, robots, or understanding the basics of coding, choosing the right board counts.

    So, let's decompose some of the most widely used microcontroller boards and their usage.

    Common Microcontroller Boards Used in Development Projects

    Arduino Boards: User-Friendly and Easy

    If you are just starting out, Arduino will probably be mentioned first. Arduino Uno, Mega, and Nano are well-liked boards because they are easy to work with and aren’t that pricey. They are based on the Arduino IDE, which should be used when learning a

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  5. Installing CUDA, cuDNN, and JetPack SDK on NVIDIA Jetson Devices via NVIDIA SDK Manager

    Installing CUDA, cuDNN, and JetPack SDK on NVIDIA Jetson Devices via NVIDIA SDK Manager

    Now Jetson Nano is ready to install further NVIDIA SDK components. Download the

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  6. Raspberry Pi 5 vs Raspberry Pi 4: Detailed Comparison of Models (8GB, 4GB, 2GB)

    Raspberry Pi 5 vs Raspberry Pi 4: Detailed Comparison of Models (2GB, 4GB, 8GB)

    The Raspberry Pi has long been a popular choice for hobbyists, developers, and professionals looking for an affordable

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  7. Best Sensors and Accessories for Intel Based Development Boards

    Top 3 Sensors and Accessories for Intel-Based Development Boards

    Intel development boards excel on their own, but pairing them with the correct sensors and accessories unlocks their full potential. Whether you are working on a smart robot, AI, or IoT project, picking the correct add-ons is always crucial. In this article, we identify the important considerations for selecting the best peripherals for Intel development boards and some examples.

    Utilize Intel® RealSense™ Cameras to Give Your Project “Eyes”

    For robotics, computer vision, and gesture tracking, Intel® RealSense™ D415 or D435 cameras provide depth-sensing capabilities. They provide powerful real-time 3D imaging for the recognition of people, objects and even terrain. Additionally, they are able to plug directly into your Intel development board with no extra setup needed.

    Get Your IoT Produ

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