{"title":"NVIDIA","description":"\u003cdiv class=\"product-copy\"\u003e\n\u003cp\u003e\u003cstrong\u003eNVIDIA Jetson edge-AI hardware in Manila.\u003c\/strong\u003e Authentic developer kits, modules, and accessories for makers building robotics, computer vision, and on-device generative AI. Power-of-a-workstation in a Raspberry-Pi-sized footprint. \u003cstrong\u003eSame-day shipping from Quezon City, 4 PM cutoff weekdays.\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003ch2\u003efeatured kit\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003e\u003ca href=\"\/products\/nvidia-jetson-orin%E2%84%A2-nano-super-developer-kit\"\u003eJetson Orin Nano Super Developer Kit\u003c\/a\u003e\u003c\/strong\u003e — 67 TOPS AI performance, 1024-core Ampere GPU with 32 Tensor cores, 6-core Cortex-A78AE CPU, 8 GB LPDDR5 at 102 GB\/s. Runs JetPack 6 and Ubuntu 22.04 out of the box. Designed for local LLM inference, multi-camera robotics, and on-device vision pipelines.\u003c\/p\u003e\n\n\u003ch2\u003especs at a glance\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctr\u003e\n\u003cth\u003eAI performance\u003c\/th\u003e\n\u003ctd\u003eup to 67 TOPS (sparse INT8)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eGPU\u003c\/th\u003e\n\u003ctd\u003e1024-core NVIDIA Ampere + 32 Tensor cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCPU\u003c\/th\u003e\n\u003ctd\u003e6-core Arm Cortex-A78AE @ 1.7 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eMemory\u003c\/th\u003e\n\u003ctd\u003e8 GB 128-bit LPDDR5 @ 102 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eStorage\u003c\/th\u003e\n\u003ctd\u003emicroSD + M.2 Key M (NVMe SSD)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003ePower\u003c\/th\u003e\n\u003ctd\u003e7–25 W configurable\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eI\/O\u003c\/th\u003e\n\u003ctd\u003e4× USB 3.2, GbE, DisplayPort, 40-pin GPIO, MIPI CSI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eOS\u003c\/th\u003e\n\u003ctd\u003eJetPack 6 \/ Ubuntu 22.04 LTS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003ecommon uses\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eOn-device LLMs\u003c\/strong\u003e — run Llama 3 8B, Phi-3, Mistral, and Gemma quantised models locally without cloud round-trip\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRobotics + ROS 2\u003c\/strong\u003e — multi-camera SLAM, depth perception, manipulation pipelines\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComputer vision\u003c\/strong\u003e — YOLOv8 \/ YOLOv11 at 30+ FPS, multi-stream RTSP analytics\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSmart camera + retail analytics\u003c\/strong\u003e — people counting, license-plate recognition, queue monitoring\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGenerative AI demos\u003c\/strong\u003e — Stable Diffusion, Whisper STT, edge voice agents\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDrones + AGVs\u003c\/strong\u003e — visual-inertial odometry, obstacle avoidance, autonomous navigation\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003enotes\u003c\/h2\u003e\n\u003cp\u003eJetson kits are \u003cstrong\u003e5V-tolerant on the 40-pin GPIO but use 3.3V logic\u003c\/strong\u003e — same as Raspberry Pi. Order an NVMe SSD if you plan to run large models — microSD throughput bottlenecks LLM token rates. Active cooling is included on the Super dev kit; the original Orin Nano needs an aftermarket fan. Ships from Manila with same-day cutoff at 4 PM weekdays.\u003c\/p\u003e\n\n\u003cdiv class=\"section card faq-list\"\u003e\n\u003ch3\u003eFAQ\u003c\/h3\u003e\n\u003cdetails\u003e\u003csummary\u003eIs this the original Orin Nano or the new Super?\u003c\/summary\u003e\u003cp\u003eThis is the \u003cstrong\u003eSuper\u003c\/strong\u003e developer kit — the 2024 firmware-unlocked version with 67 TOPS (vs 40 TOPS on the original) and 102 GB\/s memory bandwidth (vs 68 GB\/s). Same hardware, new power profile.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eCan I run Llama 3 or Mistral locally on this?\u003c\/summary\u003e\u003cp\u003eYes. With 8 GB LPDDR5 and 67 TOPS, you can run Llama 3 8B (Q4), Phi-3 Mini, and Gemma 2B at usable token rates. Use NVIDIA's `jetson-containers` repo or Ollama with CUDA backend.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eDoes it work with Raspberry Pi camera modules?\u003c\/summary\u003e\u003cp\u003eThe 2× MIPI CSI-2 lanes accept IMX219 (Pi Cam v2) and IMX477 (HQ Cam) directly. Pi Camera v3 (IMX708) is not officially supported but works with community drivers.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eWhat OS does it ship with?\u003c\/summary\u003e\u003cp\u003eJetPack 6 (Ubuntu 22.04 LTS + CUDA 12 + cuDNN + TensorRT). Flash via NVIDIA SDK Manager or pre-imaged microSD from our store.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003ePower supply included?\u003c\/summary\u003e\u003cp\u003eYes — official NVIDIA 19V\/4.74A barrel-jack PSU ships with the developer kit. Use a quality NVMe SSD if running models \u0026gt; 4 GB.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eWarranty + returns?\u003c\/summary\u003e\u003cp\u003e1-year NVIDIA manufacturer warranty against defects. 7-day local inspection window — if DOA, email us with serial and we replace.\u003c\/p\u003e\u003c\/details\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","products":[{"product_id":"nvidia-jetson-orin™-nano-super-developer-kit","title":"NVIDIA Jetson Orin™ Nano Super Developer Kit","description":"\u003cstyle\u003e\n    .product-copy {\n      line-height: 1.7;\n      color: #222;\n    }\n    .product-copy h2,\n    .product-copy h3 {\n      margin-top: 1.4em;\n      margin-bottom: 0.6em;\n      line-height: 1.3;\n    }\n    .product-copy ul {\n      padding-left: 1.2em;\n      margin-bottom: 1em;\n    }\n    .product-copy li {\n      margin-bottom: 0.35em;\n    }\n    .product-copy table {\n      width: 100%;\n      border-collapse: collapse;\n      margin: 1em 0;\n      font-size: 15px;\n    }\n    .product-copy th,\n    .product-copy td {\n      border: 1px solid #ddd;\n      padding: 10px;\n      text-align: left;\n      vertical-align: top;\n    }\n    .product-copy th {\n      background: #f7f7f7;\n      font-weight: 700;\n    }\n    .product-copy .note {\n      background: #f8f8f8;\n      border-left: 4px solid #111;\n      padding: 12px 14px;\n      margin: 1em 0;\n    }\n  \u003c\/style\u003e\n\u003cdiv class=\"product-copy\"\u003e\n\u003cp\u003eThe NVIDIA Jetson Orin Nano Super Developer Kit is a compact edge AI computer made for robotics, smart cameras, computer vision, machine learning, and generative AI projects. It gives makers, students, and developers a powerful platform for running AI models directly on a small board, without depending fully on cloud processing.\u003c\/p\u003e\n\u003cp\u003eBuilt around the Jetson Orin Nano 8GB module, this kit combines a 6-core Arm CPU, NVIDIA Ampere GPU, 8GB LPDDR5 memory, and support for microSD and NVMe storage. It is a strong choice for AI-powered robots, object detection systems, vision language model testing, automation projects, and advanced prototyping.\u003c\/p\u003e\n\u003ch3\u003eWhy Choose This Developer Kit?\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eGreat for edge AI, robotics, and computer vision projects\u003c\/li\u003e\n\u003cli\u003eRuns AI workloads locally for faster response times\u003c\/li\u003e\n\u003cli\u003eSupports cameras, USB devices, Ethernet, GPIO, and expansion modules\u003c\/li\u003e\n\u003cli\u003eWorks well for testing AI models before building a final product\u003c\/li\u003e\n\u003cli\u003eCompact size makes it useful for labs, schools, and prototype builds\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eWhat You Can Build\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eAI-powered robot vision systems\u003c\/li\u003e\n\u003cli\u003eObject detection and tracking cameras\u003c\/li\u003e\n\u003cli\u003eSmart security and monitoring devices\u003c\/li\u003e\n\u003cli\u003eVisual AI agents and chatbot hardware projects\u003c\/li\u003e\n\u003cli\u003eMachine learning and deep learning demos\u003c\/li\u003e\n\u003cli\u003eAutonomous navigation and sensor-based systems\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eKey Specs\u003c\/h3\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003eAI Performance\u003c\/th\u003e\n\u003ctd\u003eUp to 67 INT8 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eGPU\u003c\/th\u003e\n\u003ctd\u003eNVIDIA Ampere architecture with 1024 CUDA cores and 32 Tensor cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCPU\u003c\/th\u003e\n\u003ctd\u003e6-core Arm Cortex-A78AE v8.2 64-bit CPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eMemory\u003c\/th\u003e\n\u003ctd\u003e8GB 128-bit LPDDR5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eStorage Support\u003c\/th\u003e\n\u003ctd\u003emicroSD card slot and external NVMe support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eUSB\u003c\/th\u003e\n\u003ctd\u003e4x USB 3.2 Type-A ports and USB-C for data\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCamera\u003c\/th\u003e\n\u003ctd\u003e2x MIPI CSI-2 22-pin camera connectors\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eNetworking\u003c\/th\u003e\n\u003ctd\u003eGigabit Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eDisplay\u003c\/th\u003e\n\u003ctd\u003eDisplayPort output\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eExpansion\u003c\/th\u003e\n\u003ctd\u003e40-pin expansion header, M.2 Key M, and M.2 Key E support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003ePower\u003c\/th\u003e\n\u003ctd\u003e7W to 25W operating range\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003ePinout \u0026amp; Power Notes\u003c\/h3\u003e\n\u003cp\u003eThe board includes a 40-pin expansion header for connecting sensors, displays, and other modules. It also includes a DC power jack and comes with a 19V 45W power supply. Use a proper microSD card or NVMe drive depending on your project storage needs.\u003c\/p\u003e\n\u003cdiv class=\"note\"\u003e\n\u003cstrong\u003eNote:\u003c\/strong\u003e A microSD card, camera module, display cable, keyboard, mouse, and monitor may be needed depending on your setup. Please check your project requirements before purchase.\u003c\/div\u003e\n\u003ch3\u003eRecommended Add-ons\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003emicroSD card or NVMe SSD for storage\u003c\/li\u003e\n\u003cli\u003eCompatible MIPI CSI camera module\u003c\/li\u003e\n\u003cli\u003eDisplayPort monitor or adapter\u003c\/li\u003e\n\u003cli\u003eUSB keyboard and mouse\u003c\/li\u003e\n\u003cli\u003eCooling and enclosure accessories for long testing sessions\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eWhat’s in the Box?\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eNVIDIA Jetson Orin Nano Super Developer Kit\u003c\/li\u003e\n\u003cli\u003e19V 45W power supply\u003c\/li\u003e\n\u003cli\u003eType B power cable\u003c\/li\u003e\n\u003cli\u003eType I power cable\u003c\/li\u003e\n\u003cli\u003eQuick start and support guide\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eFAQ\u003c\/h3\u003e\n\u003cp\u003e\u003cstrong\u003eIs this good for beginners?\u003c\/strong\u003e\u003cbr\u003eYes, but it is better for users who already have basic experience with Linux, Python, AI projects, or single-board computers.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCan it be used for robotics?\u003c\/strong\u003e\u003cbr\u003eYes. It is a strong choice for robotics projects that need camera input, AI detection, navigation, or local machine learning.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDoes it replace a Raspberry Pi?\u003c\/strong\u003e\u003cbr\u003eNot exactly. A Raspberry Pi is better for general learning and simple projects. The Jetson Orin Nano is better for AI, vision, and GPU-based workloads.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDoes it include storage?\u003c\/strong\u003e\u003cbr\u003ePlease check the actual product bundle. The board supports microSD and external NVMe storage, but storage may need to be purchased separately.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"circuitrocks","offers":[{"title":"Default Title","offer_id":52681187164449,"sku":"DEV-22098","price":26145.0,"currency_code":"PHP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0777\/1491\/5617\/files\/NVIDIA-JetsonOrin-3QTR-Front-Left-_1__1.webp?v=1778723133"}],"url":"https:\/\/circuit.rocks\/collections\/nvidia.oembed","provider":"circuitrocks","version":"1.0","type":"link"}