{"product_id":"nvidia-jetson-xavier-nx-developer-kit-pre-order","title":"NVIDIA Jetson Xavier NX Developer Kit - Pre Order","description":"\u003cmeta name=\"description\" content=\"Buy NVIDIA Jetson Xavier NX Developer Kit - Pre Order online in India at best price from The Engineer Store, Bengaluru. Authentic product, 7-day warranty on manufacturing defects, fast delivery across India.\"\u003e\n\n\u003ch1\u003eNVIDIA Jetson Xavier NX Developer Kit - Pre Order\u003c\/h1\u003e\n\n\u003cp\u003eThe NVIDIA Jetson Xavier NX Developer Kit is a compact, energy-efficient AI computing platform featuring an 8-core ARM CPU, 8GB of LPDDR4x memory, and 16-core NVIDIA GPU capable of 21 TFLOPS of peak performance, designed for edge AI inference and robotics applications. Professional developers, roboticists, and embedded systems engineers use this platform to prototype and deploy machine learning models on resource-constrained devices with real-time performance requirements. This kit solves the critical challenge of running sophisticated neural networks locally on edge devices without requiring cloud connectivity, reducing latency while maintaining privacy and enabling autonomous decision-making in robotics, autonomous vehicles, and industrial IoT systems.\u003c\/p\u003e\n\n\u003ch2\u003eProduct Overview\u003c\/h2\u003e\n\n\u003cp\u003eThe Jetson Xavier NX operates on NVIDIA's Ampere GPU architecture optimized for inference workloads, delivering exceptional performance-per-watt efficiency at just 10-15W typical power consumption. The developer kit includes the Xavier NX module, carrier board with extensive I\/O interfaces including USB 3.1, Gigabit Ethernet, HDMI 2.0, and 40-pin GPIO header, along with pre-installed JetPack SDK containing CUDA, cuDNN, TensorRT, and other essential libraries for rapid development. The architecture supports parallel processing of multiple AI models simultaneously, making it ideal for multi-task robotics applications requiring real-time computer vision, natural language processing, and sensor fusion.\u003c\/p\u003e\n\n\u003cp\u003eWhat distinguishes the Xavier NX from competitors is its unified memory architecture combining CPU and GPU access to the same memory space, eliminating expensive data transfers and improving throughput for AI inference pipelines. The included JetPack 4.6+ provides containerization support via Docker, hardware video encoding\/decoding engines for multimedia processing, and comprehensive documentation for quick prototyping. Developers can leverage pre-trained models from NVIDIA's Model Zoo or convert existing TensorFlow, PyTorch, and ONNX models using TensorRT for optimized inference performance on this platform.\u003c\/p\u003e\n\n\u003ch2\u003eKey Specifications\u003c\/h2\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpecification\u003c\/td\u003e\n\u003ctd\u003eDetails\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Type\u003c\/td\u003e\n\u003ctd\u003eAI Edge Computing Developer Kit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBrand\u003c\/td\u003e\n\u003ctd\u003eNVIDIA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOrigin\u003c\/td\u003e\n\u003ctd\u003eOriginal\/Authentic\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e7 days on manufacturing defects\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eShipping\u003c\/td\u003e\n\u003ctd\u003e1-5 days from Bengaluru\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDelivery\u003c\/td\u003e\n\u003ctd\u003e7-8 days across India\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSupport\u003c\/td\u003e\n\u003ctd\u003e24\/7 via Email and WhatsApp\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003e16-core NVIDIA GPU with 21 TFLOPS peak performance\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e8-core ARM Carmel processor @ 2.0 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e8GB LPDDR4x 51.2 GB\/s bandwidth\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e16GB eMMC 5.1 internal storage\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Consumption\u003c\/td\u003e\n\u003ctd\u003e10-15W typical operating power\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eConnectivity\u003c\/td\u003e\n\u003ctd\u003eGigabit Ethernet, USB 3.1 Type-C, USB 2.0, HDMI 2.0, 3.5mm audio jack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPIO\u003c\/td\u003e\n\u003ctd\u003e40-pin header with I2C, SPI, UART, GPIO support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating System\u003c\/td\u003e\n\u003ctd\u003eJetPack 4.6+ (Ubuntu 18.04 based)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\n\u003cul\u003e\n\u003cli\u003eExceptional AI Inference Performance: 21 TFLOPS GPU capability enables real-time inference of complex neural networks including ResNet, YOLO, and MobileNet architectures with sub-100ms latency\u003c\/li\u003e\n\u003cli\u003eUltra-Low Power Consumption: 10-15W typical power draw makes it suitable for battery-powered robotics, drones, and edge devices requiring extended autonomous operation\u003c\/li\u003e\n\u003cli\u003eUnified Memory Architecture: Shared CPU-GPU memory space eliminates expensive data transfers, improving throughput for multi-model AI pipelines by up to 40 percent\u003c\/li\u003e\n\u003cli\u003eComprehensive Developer Ecosystem: Pre-installed JetPack SDK with CUDA 10.2, cuDNN 8.0, TensorRT 7.1, and ROS integration for rapid prototyping and deployment\u003c\/li\u003e\n\u003cli\u003eHardware Accelerated Video Processing: Dedicated NVENC and NVDEC engines support 4K video encoding\/decoding, enabling real-time video analytics applications\u003c\/li\u003e\n\u003cli\u003eExtensive Connectivity Options: Gigabit Ethernet, USB 3.1, HDMI 2.0, and 40-pin GPIO header provide seamless integration with sensors, cameras, and external peripherals\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eApplications and Use Cases\u003c\/h2\u003e\n\n\u003cul\u003e\n\u003cli\u003eAutonomous Mobile Robotics: Deploy real-time object detection, SLAM, and path planning algorithms on mobile robots using the Xavier NX's 21 TFLOPS GPU for simultaneous multi-task processing without external compute dependencies\u003c\/li\u003e\n\u003cli\u003eIndustrial Computer Vision: Implement defect detection, quality assurance, and visual inspection systems in manufacturing environments with sub-100ms inference latency and edge processing for immediate decision-making\u003c\/li\u003e\n\u003cli\u003eDrone and Aerial Robotics: Leverage 10-15W power efficiency for extended flight times while running onboard AI models for autonomous navigation, obstacle avoidance, and real-time video analysis\u003c\/li\u003e\n\u003cli\u003eHealthcare and Medical Devices: Deploy AI-powered diagnostic assistance, patient monitoring, and medical imaging analysis on edge devices with privacy-preserving local processing and HIPAA-compliant data handling\u003c\/li\u003e\n\u003cli\u003eSmart City IoT Applications: Process sensor streams from environmental monitoring, traffic management, and smart surveillance systems with edge inference reducing cloud bandwidth requirements by 60-80 percent\u003c\/li\u003e\n\u003cli\u003eAutonomous Vehicle Development: Prototype autonomous driving systems with real-time sensor fusion, perception pipelines, and decision-making algorithms using the Xavier NX as a compact compute platform\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eHow to Use\u003c\/h2\u003e\n\n\u003cp\u003eBegin by unboxing the Jetson Xavier NX Developer Kit and connecting the carrier board to a power supply (5V\/4A USB-C recommended), monitor via HDMI, keyboard, and mouse. Power on the device and complete the initial JetPack OS setup, which includes Ubuntu 18.04 base system, NVIDIA CUDA toolkit, cuDNN library, and TensorRT inference engine. Connect to your network via Gigabit Ethernet or configure WiFi through the desktop environment. Download and install the NVIDIA JetPack SDK manager on your host computer to flash the latest OS image and development tools to the Xavier NX's eMMC storage.\u003c\/p\u003e\n\n\u003cp\u003eFor AI model deployment, prepare your pre-trained model in TensorFlow, PyTorch, or ONNX format on your host machine. Use NVIDIA's TensorRT optimizer to convert and quantize the model for optimal inference performance on the Xavier NX's hardware, typically achieving 5-10x speedup compared to unoptimized inference. Access the developer kit via SSH or direct connection, upload your optimized model, and develop inference applications using CUDA C\/C++, Python with TensorFlow\/PyTorch, or NVIDIA's DeepStream SDK for complex video analytics pipelines. Utilize the 40-pin GPIO header to interface with sensors, cameras, and actuators, leveraging libraries like Jetson.GPIO and Jetson.Inference for rapid prototyping of robotics and IoT applications.\u003c\/p\u003e\n\n\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eWhat is the performance difference between Jetson Xavier NX and Jetson Nano for AI inference?\u003c\/summary\u003e\n\u003cp\u003eThe Jetson Xavier NX delivers approximately 21 TFLOPS GPU performance compared to Jetson Nano's 472 GFLOPS, representing a 45x performance advantage for AI inference workloads. Xavier NX features 8GB LPDDR4x memory versus Nano's 4GB, enabling deployment of larger and more complex neural networks. While Xavier NX consumes 10-15W versus Nano's 5W, the significantly superior performance-per-watt efficiency makes it ideal for demanding robotics and computer vision applications requiring real-time multi-model inference.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eCan I run multiple AI models simultaneously on the Xavier NX?\u003c\/summary\u003e\n\u003cp\u003eYes, the Xavier NX's unified memory architecture and 16-core GPU enable concurrent execution of multiple AI models with careful resource management. You can deploy simultaneous object detection, pose estimation, and semantic segmentation pipelines, though total throughput depends on model complexity and batch sizes. Use NVIDIA's TensorRT to optimize individual models and implement model scheduling through JetPack's container support to maximize GPU utilization across multiple inference tasks.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eWhat development languages and frameworks are supported on Jetson Xavier NX?\u003c\/summary\u003e\n\u003cp\u003eThe Xavier NX supports C\/C++ with CUDA for low-level GPU programming, Python with TensorFlow 2.x and PyTorch for machine learning development, and NVIDIA's proprietary DeepStream SDK for video analytics. JetPack includes GStreamer for multimedia pipeline development, ROS (Robot Operating System) for robotics applications, and Docker containerization for deploying pre-built applications. The comprehensive CUDA toolkit and cuDNN library provide direct access to GPU acceleration for custom algorithms and scientific computing tasks.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eIs the Jetson Xavier NX suitable for battery-powered applications?\u003c\/summary\u003e\n\u003cp\u003eYes, with 10-15W typical power consumption, the Xavier NX is well-suited for battery-powered edge AI applications. A 50Wh battery can theoretically power the device for 3-5 hours of continuous operation. For extended deployment in drones, mobile robots, or portable devices, implement power management strategies including dynamic frequency scaling, selective model loading, and sleep states to extend operational time. Consider solar charging or battery swapping for 24\/7 autonomous operation in outdoor robotics applications.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eWhen will I receive my order?\u003c\/summary\u003e\n\u003cp\u003eOrders are dispatched within 1-5 business days from our Bengaluru warehouse. Delivery takes 7-8 days to most locations across India.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eWhat is your return and warranty policy?\u003c\/summary\u003e\n\u003cp\u003eWe offer a 7-day return policy on manufacturing defects only. Contact support within 7 days of receipt for free replacement or full refund. Not applicable for user damage or misuse.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eAre bulk discounts available?\u003c\/summary\u003e\n\u003cp\u003eYes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003ch2\u003eWhy Buy from The Engineer Store\u003c\/h2\u003e\n\n\u003cul\u003e\n\u003cli\u003eGenuine Products: Sourced directly from authorized distributors with authentication\u003c\/li\u003e\n\u003cli\u003eExpert Team: Our technical team validates every product before listing\u003c\/li\u003e\n\u003cli\u003eFast Shipping: Dispatched within 1-5 days from our Bengaluru warehouse\u003c\/li\u003e\n\u003cli\u003ePan-India Delivery: 7-8 days to Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata\u003c\/li\u003e\n\u003cli\u003ePayment Options: COD, UPI, credit\/debit cards, net banking, EMI available\u003c\/li\u003e\n\u003cli\u003eTechnical Support: 24\/7 expert guidance via email and WhatsApp\u003c\/li\u003e\n\u003cli\u003eReturns: 7-day return policy on manufacturing defects only\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eBuy NVIDIA Jetson Xavier NX Developer Kit - Pre Order Online in India\u003c\/h2\u003e","brand":"My Store","offers":[{"title":"Default Title","offer_id":43856802283683,"sku":"TES-EV00082048","price":48591.78,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0628\/4479\/7091\/products\/Jetson-Xavier-NX-DevKit-Module_mid-228x228.jpg?v=1704280729","url":"https:\/\/www.theengineerstore.in\/zh-hans\/products\/nvidia-jetson-xavier-nx-developer-kit-pre-order","provider":"The Engineer Store","version":"1.0","type":"link"}