{"title":"NVIDIA Jetson | Official Page","description":"\u003cp\u003eNVIDIA Jetson is a cutting-edge edge AI computing platform designed to power the next generation of intelligent machines. Built by NVIDIA, Jetson offers high-performance, energy-efficient modules tailored for robotics, computer vision, autonomous systems, and AIoT applications. From rapid prototyping to full-scale deployment, Jetson provides the tools and performance developers need to bring advanced AI to the edge.\u003c\/p\u003e\n\u003cp\u003eThe Jetson family includes powerful modules such as Jetson Nano, Xavier NX, Orin NX, and Orin AGX, each delivering GPU-accelerated computing with support for deep learning, computer vision, and real-time data processing. Paired with the NVIDIA JetPack SDK, these modules offer a seamless development environment with access to the latest AI frameworks and libraries.\u003c\/p\u003e\n\u003cp\u003eRenowned for their reliability, scalability, and ease of integration, NVIDIA Jetson platforms are trusted by developers, researchers, and enterprises worldwide to build smart, autonomous systems.\u003c\/p\u003e\n\u003cp\u003eThinkRobotics is an official and leading distributor of NVIDIA Jetson products, offering the full range of genuine modules, developer kits, and accessories with expert support and fast, reliable delivery.\u003c\/p\u003e\n\u003cp\u003e\u003cspan style=\"color: rgb(252, 66, 66);\"\u003eThis is the official NVIDIA Jetson collection page on ThinkRobotics.\u003c\/span\u003e\u003c\/p\u003e","products":[{"product_id":"nvidia-jetson-nano-module-online","title":"وحدة NVIDIA Jetson Nano","description":"\u003cp\u003e\u003cspan data-mce-fragment=\"1\"\u003eأصبحت قوة الذكاء الاصطناعي الحديث متاحة الآن للصنّاع والمتعلمين ومطوري الأنظمة المدمجة في كل مكان.\u003c\/span\u003e Jetson Nano هو حاسوب صغير وقوي للتطبيقات المدمجة وإنترنت الأشياء المعتمد على الذكاء الاصطناعي، والذي يقدم قوة الذكاء الاصطناعي الحديث في وحدة واحدة.\u003c\/p\u003e\n\u003cp\u003eابدأ بسرعة مع مجموعة تطوير البرمجيات الشاملة \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/jetpack\"\u003eJetPack SDK\u003c\/a\u003e التي تتضمن مكتبات متسارعة للتعلم العميق، ورؤية الحاسوب، والرسومات، والوسائط المتعددة، والمزيد. يتمتع Jetson Nano بالأداء والقدرات التي تحتاجها لتشغيل أعباء عمل الذكاء الاصطناعي الحديثة، مما يمنحك طريقة سريعة وسهلة لإضافة ذكاء اصطناعي متقدم إلى منتجك القادم. للبدء في عملية التطوير الخاصة بك، ألقِ نظرة على \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/buy\/jetson-nano-devkit\"\u003eمجموعة تطوير Jetson Nano\u003c\/a\u003e.\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eيتمتع Jetson Nano بالأداء والقدرات اللازمة لتشغيل أعباء عمل الذكاء الاصطناعي الحديثة بسرعة، مما يجعل من الممكن إضافة ذكاء اصطناعي متقدم إلى أي منتج. يجلُب Jetson Nano الذكاء الاصطناعي إلى عالم جديد من التطبيقات المدمجة وتطبيقات إنترنت الأشياء، بما في ذلك مسجلات الفيديو الشبكية (NVRs) للمبتدئين، والروبوتات المنزلية، والبوابات الذكية ذات قدرات التحليل الكاملة.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eابدأ اليوم باستخدام مجموعة Jetson Nano.\u003c\/strong\u003e \u003cstrong\u003eجميع مجموعات Jetson تُشحن مجاناً عبر Bluedart (ينطبق هذا العرض على مناطق خدمة Bluedart فقط).\u003c\/strong\u003e\u003c\/p\u003e\n\u003ch5\u003eالمواصفات\u003c\/h5\u003e\n\u003cp\u003e\u003cspan\u003eالمواصفات الفنية للوحدة\u003c\/span\u003e\u003c\/p\u003e\n\u003ctable align=\"center\" border=\"1\" cellpadding=\"0\" cellspacing=\"0\" style=\"width: 488.766px; border-collapse: collapse;\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eوحدة معالجة الرسومات (GPU)\u003c\/td\u003e\n\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003eبنية NVIDIA Maxwell\u003csup\u003e™\u003c\/sup\u003e مع 128 نواة NVIDIA CUDA\u003csup\u003e®\u003c\/sup\u003e بقدرة 0.5 TFLOPs (FP16)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eوحدة المعالجة المركزية (CPU)\u003c\/td\u003e\n\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003eمعالج رباعي النواة ARM\u003csup\u003e®\u003c\/sup\u003e Cortex\u003csup\u003e®\u003c\/sup\u003e-A57 MPCore\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eالذاكرة\u003c\/td\u003e\n\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e4 جيجابايت LPDDR4 بـ 64 بت\u003cbr\u003e1600 ميجاهرتز - 25.6 جيجابايت\/ثانية\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eالتخزين\u003c\/td\u003e\n\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e16 جيجابايت eMMC 5.1 Flash\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eترميز الفيديو\u003c\/td\u003e\n\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e4Kp30 | 4x 1080p30 | 9x 720p30 (H.264\/H.265)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eفك ترميز الفيديو\u003c\/td\u003e\n\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 (H.264\/H.265)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eالكاميرا\u003c\/td\u003e\n\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e12 مساراً (3x4 أو 4x2) MIPI CSI-2 D-PHY 1.1 (18 جيجابت\/ثانية)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd rowspan=\"2\" class=\"tableCLdata\" style=\"width: 98px;\"\u003eالاتصال\u003c\/td\u003e\n\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003eشبكة Wi-Fi تتطلب شريحة خارجية\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003eإيثرنت 10\/100\/1000 BASE-T\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eالشاشة\u003c\/td\u003e\n\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003eHDMI 2.0 أو DP1.2 | eDP 1.4 | DSI (1 x2) شاشتان في وقت واحد\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eUPHY\u003c\/td\u003e\n\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e1 x1\/2\/4 PCIE, 1x USB 3.0, 3x USB 2.0\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eمنافذ الإدخال\/الإخراج (I\/O)\u003c\/td\u003e\n\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e3x UART, 2x SPI, 2x I2S, 4x I2C, GPIOs\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eالحجم\u003c\/td\u003e\n\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e69.6 مم × 45 مم\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eالمواصفات الميكانيكية\u003c\/td\u003e\n\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003eموصل طرفي بـ 260 سن\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\n\n\n\u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":39512343609430,"sku":"SBC1101-MOD","price":23899.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/nvidia-jetson-nano-module-standing-2c50-d.jpg?v=1629456435"},{"product_id":"nvidia-jetson-xavier-nx-som","title":"وحدة معالجة Nvidia Jetson Xavier NX (SOM)","description":"\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eأداء قوي ومدمج عند الحافة (Edge)\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003eأصغر حاسوب فائق للذكاء الاصطناعي في العالم للأنظمة المضمنة وأنظمة الحافة. والآن مع دعم الحوسبة السحابية الأصلية.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eيجلب NVIDIA\u003csup data-mce-fragment=\"1\"\u003e®\u003c\/sup\u003e\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003eJetson Xavier\u003csup data-mce-fragment=\"1\"\u003e™\u003c\/sup\u003e\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003eNX أداء الحواسيب الفائقة إلى الحافة في نظام صغير الحجم على وحدة (SOM). توفر قدرة حوسبة معجلة تصل إلى 21 تريليون عملية في الثانية (TOPS) القوة اللازمة لتشغيل الشبكات العصبية الحديثة بالتوازي ومعالجة البيانات من مستشعرات متعددة عالية الدقة—وهو مطلب لأنظمة الذكاء الاصطناعي المتكاملة.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eيتميز Jetson Xavier NX الآن بدعم الحوسبة السحابية الأصلية، مما يتيح للمطورين بناء ونشر ميزات عالية الجودة ومحددة برمجياً على الأجهزة المضمنة وأجهزة الحافة. توفر نماذج الذكاء الاصطناعي المدربة مسبقاً من\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003e\u003ca data-mce-fragment=\"1\" href=\"https:\/\/www.nvidia.com\/en-in\/gpu-cloud\/\" data-mce-href=\"https:\/\/www.nvidia.com\/en-in\/gpu-cloud\/\"\u003eNVIDIA NGC\u003c\/a\u003e\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003eو\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003e\u003ca data-mce-fragment=\"1\" href=\"https:\/\/developer.nvidia.com\/transfer-learning-toolkit\" target=\"_blank\" data-mce-href=\"https:\/\/developer.nvidia.com\/transfer-learning-toolkit\"\u003eمجموعة أدوات التعلم بالنقل من NVIDIA\u003c\/a\u003e\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003eمساراً أسرع للحصول على شبكات ذكاء اصطناعي مدربة ومحسنة، بينما يسمح النشر المعتمد على الحاويات لأجهزة Jetson بتحديثات مرنة وسلسة. يعمل Jetson Xavier NX على تسريع مكدس برامج NVIDIA بأداء يزيد عن 10 أضعاف أداء سابقه واسع الانتشار، Jetson TX2.\u003c\/p\u003e\n\u003cp\u003eبحجم أصغر من بطاقة الائتمان (70×45 مم)، توفر وحدة Jetson Xavier NX الموفرة للطاقة أداءً من فئة الخوادم—21 تريليون عملية في الثانية (بقدرة 15 واط) أو ما يصل إلى 14 تريليون عملية في الثانية (بقدرة 10 واط). يمكنها تشغيل شبكات عصبية حديثة متعددة بالتوازي ومعالجة البيانات من مستشعرات متعددة عالية الدقة—وهو مطلب لأنظمة الذكاء الاصطناعي المتكاملة. كما يجعل دعم الحوسبة السحابية الأصلية المتاح تطوير ونشر برامج الذكاء الاصطناعي على أجهزة الحافة أسهل من أي وقت مضى.\u003c\/p\u003e\n\u003cp\u003eJetson Xavier NX جاهز للإنتاج ويدعم جميع أطر عمل الذكاء الاصطناعي الشهيرة. وهذا يفتح الباب أمام أجهزة الحوسبة الطرفية المضمنة التي تتطلب أداءً متزايداً لدعم أعباء عمل الذكاء الاصطناعي ولكنها مقيدة بالحجم أو الوزن أو ميزانية الطاقة أو التكلفة.\u003c\/p\u003e\n\u003ch5 data-mce-fragment=\"1\"\u003eالميزات\u003c\/h5\u003e\n\u003cp data-mce-fragment=\"1\"\u003eالحجم:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eأداء XAVIER. حجم NANO.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eبأبعاد 70 مم × 45 مم، يجمع Jetson Xavier NX قوة معالج NVIDIA Xavier SoC في وحدة بحجم\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003e\u003ca data-mce-fragment=\"1\" href=\"https:\/\/www.nvidia.com\/en-in\/autonomous-machines\/embedded-systems\/jetson-nano\/\" data-mce-href=\"https:\/\/www.nvidia.com\/en-in\/autonomous-machines\/embedded-systems\/jetson-nano\/\"\u003eJetson Nano\u003c\/a\u003e. تجمع هذه الوحدة الصغيرة بين الأداء الاستثنائي ومزايا الطاقة مع مجموعة غنية من المدخلات والمخرجات (IOs)—بدءاً من واجهات CSI وPCIe عالية السرعة وصولاً إلى واجهات I2Cs وGPIOs منخفضة السرعة. استفد من عامل الشكل الصغير والواجهات الغنية بالمستشعرات والأداء العالي لجلب إمكانات جديدة لجميع أنظمة الذكاء الاصطناعي المضمنة والحافة لديك.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eالأداء:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eأداء ذكاء اصطناعي قوي بقدرة 21 تريليون عملية في الثانية (TOPS)\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eيوفر Jetson Xavier NX ما يصل إلى 21 تريليون عملية في الثانية، مما يجعله مثالياً للحوسبة عالية الأداء والذكاء الاصطناعي في الأنظمة المضمنة وأنظمة الحافة. ستحصل على أداء 384 نواة NVIDIA CUDA\u003csup data-mce-fragment=\"1\"\u003e®\u003c\/sup\u003e، و48 نواة Tensor، و6 وحدات معالجة مركزية Carmel ARM، ومحركين من NVIDIA لتسريع التعلم العميق (NVDLA). جنباً إلى جنب مع عرض نطاق ترددي للذاكرة يتجاوز 51 جيجابايت\/ثانية، وترميز وفك تشفير الفيديو، تجعل هذه الميزات Jetson Xavier NX المنصة المفضلة لتشغيل شبكات عصبية حديثة متعددة بالتوازي ومعالجة البيانات عالية الدقة من مستشعرات متعددة في وقت واحد.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eالطاقة:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eكفاءة طاقة لا تُصدق\u003c\/p\u003e\n\u003cdiv data-mce-fragment=\"1\" class=\"description color-black body-text\"\u003e\n\n\u003cp data-mce-fragment=\"1\"\u003eيدعم Jetson Xavier NX أوضاع طاقة متعددة، بما في ذلك أوضاع الطاقة المنخفضة للأنظمة التي تعمل بالبطارية، ويوفر ما يصل إلى 14 تريليون عملية في الثانية لتطبيقات الذكاء الاصطناعي بقدرة تصل إلى 10 واط فقط. وهذا يترك المزيد من ميزانية الطاقة للمستشعرات والأجهزة الطرفية، مع السماح لك باستخدام مكدس برامج NVIDIA بالكامل. أصبح لديك الآن الأداء اللازم لتشغيل جميع شبكات وأطر عمل الذكاء الاصطناعي الحديثة مع مكتبات معجلة للتعلم العميق، ورؤية الحاسوب، ورسومات الحاسوب، والوسائط المتعددة، والمزيد.\u003c\/p\u003e\n\n\u003ch5 data-mce-fragment=\"1\"\u003eالمواصفات\u003c\/h5\u003e\n\n\u003ctable cellspacing=\"0\" cellpadding=\"0\" border=\"1\" align=\"center\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003eأداء الذكاء الاصطناعي\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e21 تريليون عملية في الثانية (TOPS)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003eوحدة معالجة الرسوميات (GPU)\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003eNVIDIA Volta™ بـ 384 نواة مع 48 نواة Tensor\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003eوحدة المعالجة المركزية (CPU)\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003eNVIDIA Carmel ARM® v8.2 بـ 6 أنوية، 64-بت\u003cbr\u003eذاكرة تخزين مؤقت L2 سعة 6 ميجابايت + L3 سعة 4 ميجابايت\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003eالذاكرة\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e8 جيجابايت LPDDR4x بـ 128-بت\u003cbr\u003e51.2 جيجابايت\/ثانية\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003eالتخزين\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e16 جيجابايت eMMC 5.1\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003eالطاقة\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e10 واط | 15 واط\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003ePCIe\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e1 x1 (PCIe Gen3) + 1 x4 (PCIe Gen4)، إجمالي 144 جيجا نقل\/ثانية*\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003eكاميرا CSI\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003eحتى 6 كاميرات (24 عبر قنوات افتراضية)\u003cbr\u003e14 مساراً (3×4 أو 6×2) MIPI CSI-2\u003cbr\u003eD-PHY 1.2 (حتى 30 جيجابت\/ثانية)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003eترميز الفيديو\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e2x 4Kp30 | 6x 1080p60 | 14x 1080p30 (H.265 و H.264)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003eفك تشفير الفيديو\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e2x 4Kp60 | 4x 4Kp30 | 12x 1080p60 | 32x 1080p30 (H.265)\u003cbr\u003e2x 4Kp30 | 6x 1080p60 | 16x 1080p30 (H.264)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003eالعرض\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e2 منفذ متعدد الأنماط DP 1.4\/eDP 1.4\/HDMI 2.0\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003eمسرع التعلم العميق (DL)\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003eمحركان NVDLA\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003eمسرع الرؤية\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003eمعالج رؤية VLIW بـ 7 مسارات\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003eالشبكات\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003eإيثرنت 10\/100\/1000 BASE-T\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003eالأبعاد الميكانيكية\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e69.6 مم × 45 مم\u003cbr\u003eموصل SO-DIMM بـ 260 سن\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\n\n\n\u003c\/table\u003e\n\n\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"8GB","offer_id":39799560142934,"sku":"SBC1102-MOD8","price":71999.99,"currency_code":"INR","in_stock":false},{"title":"16GB","offer_id":39799560175702,"sku":"SBC1102-MOD16","price":91999.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/Image1.png?v=1629459334"},{"product_id":"nvidia-jetson-tx2-nx-online","title":"إنفيديا جيتسون TX2 NX","description":"\u003cp\u003eتمنحك وحدات NVIDIA® Jetson™ TX2 سرعة وكفاءة استثنائيتين في استهلاك الطاقة في جهاز حوسبة ذكاء اصطناعي مدمج. توفر كل وحدة (عبارة عن حاسوب فائق مصغر) إمكانات حوسبة ذكاء اصطناعي حقيقية عند الحافة (Edge) بفضل وحدة معالجة الرسومات NVIDIA Pascal™، وذاكرة تصل إلى 8 جيجابايت وعرض نطاق ترددي للذاكرة يبلغ 59.7 جيجابايت\/ثانية، بالإضافة إلى مجموعة واسعة من واجهات الأجهزة القياسية.\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eتقدم NVIDIA Jetson TX2 NX الخطوة التالية في أداء الذكاء الاصطناعي للمنتجات المدمجة ومنتجات الحافة ذات المستوى الابتدائي. إنها مدمجة وموفرة للطاقة ومثالية لحل الذكاء الاصطناعي التالي الخاص بك، بدءاً من التصنيع وتجارة التجزئة وصولاً إلى الزراعة وعلوم الحياة. تساعدك نماذج الذكاء الاصطناعي المدربة مسبقاً، ومجموعة أدوات نقل التعلم (Transfer Learning Toolkit)، وحزمة تطوير البرامج NVIDIA JetPack\u003c\/span\u003e\u003csup\u003e™\u003c\/sup\u003e\u003cspan\u003e في طرح أفضل منتج لديك في السوق بسرعة.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch5\u003eالميزات\u003c\/h5\u003e\n\u003cp\u003eالحجم\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eقلل من مساحة جهازك\u003c\/strong\u003e\u003cbr\u003eالآن يمكنك الحصول على مستوى عالٍ استثنائي من الحوسبة والدقة وكفاءة الطاقة في وحدة بحجم بطاقة الائتمان. حجمها الصغير البالغ 50 مم × 87 مم يتيح تطبيقات تعلم عميق حقيقية في منتجات صغيرة الحجم مثل الطائرات بدون طيار وغيرها.\u003c\/p\u003e\n\u003cp\u003eالأداء \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eعظّم أداءك\u003c\/strong\u003e\u003cbr\u003eاختبر أكثر من ضعف الأداء أو ضعف كفاءة الطاقة مقارنة بـ Jetson TX1. كل هذا أصبح ممكناً بفضل معمارية NVIDIA Pascal ذات الـ 256 نواة وذاكرة سعة 8 جيجابايت في Jetson TX2، مما يضمن أسرع حوسبة واستنتاج.\u003c\/p\u003e\n\u003cp\u003eالطاقة\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eحسّن كفاءة استهلاك الطاقة\u003c\/strong\u003e\u003cbr\u003eمع Jetson TX2، يمكنك الآن تشغيل شبكات عصبية عميقة وكبيرة لدقة أعلى على أجهزة الحافة. فبقدرة 7.5 وات فقط، توفر كفاءة طاقة أكبر بـ 25 مرة من معالجات الكمبيوتر المكتبية المتطورة. وهذا يجعلها مثالية للمعالجة في الوقت الفعلي في التطبيقات التي قد يمثل فيها النطاق الترددي وزمن الانتقال مشكلة، بما في ذلك روبوتات المصانع، والطائرات التجارية بدون طيار، وأجهزة التعاون المؤسسي، والكاميرات الذكية للمدن الذكية.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eجهاز JETSON TX2 لكل تطبيق\u003c\/strong\u003e\u003cbr\u003eتوفر عائلة وحدات Jetson TX2 المدمجة الموسعة أداءً يصل إلى 2.5 ضعف أداء Jetson Nano وبطاقة لا تتعدى 7.5 وات. توفر Jetson TX2 NX توافقاً في المسامير (Pin) والشكل مع Jetson Nano، بينما تشترك وحدات Jetson TX2 وTX2 4GB وTX2i جميعها في التصميم الأصلي لـ Jetson TX2. وتعد وحدة Jetson TX2i القوية مثالية للإعدادات التي تشمل الروبوتات الصناعية والمعدات الطبية.\u003c\/p\u003e\n\u003ch5\u003eالمواصفات\u003c\/h5\u003e\n\u003ctable style=\"width: 474.625px;\" cellspacing=\"0\" cellpadding=\"0\" border=\"1\" align=\"center\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eأداء الذكاء الاصطناعي\u003c\/td\u003e\n\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e1.33 TFLOPS\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eوحدة معالجة الرسومات\u003c\/td\u003e\n\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003eمعمارية NVIDIA Pascal\u003csup\u003e™\u003c\/sup\u003e مع 256 نواة NVIDIA\u003csup\u003e®\u003c\/sup\u003e CUDA\u003csup\u003e®\u003c\/sup\u003e\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eوحدة المعالجة المركزية\u003c\/td\u003e\n\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003eمعالج NVIDIA Denver 2 ثنائي النواة 64-بت، ومجمع معالجات Arm\u003csup\u003e®\u003c\/sup\u003e Cortex\u003csup\u003e®\u003c\/sup\u003e-A57 رباعي النواة\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eالذاكرة\u003c\/td\u003e\n\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e4 جيجابايت 128-بت LPDDR4\u003cbr\u003e51.2 جيجابايت\/ثانية\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eالتخزين\u003c\/td\u003e\n\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e16 جيجابايت eMMC 5.1\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eالطاقة\u003c\/td\u003e\n\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e7.5 وات | 15 وات\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003ePCIe\u003c\/td\u003e\n\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e1 x1 + 1 x2\u003cbr\u003ePCIe Gen2، إجمالي 30 جيجا نقل\/ثانية\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eكاميرا CSI\u003c\/td\u003e\n\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003eحتى 5 كاميرات (12 عبر القنوات الافتراضية)\u003cbr\u003e12 مساراً MIPI CSI-2 (3x4 أو 5x2)\u003cbr\u003eD-PHY 1.2 (تصل إلى 30 جيجابت\/ثانية)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eترميز الفيديو\u003c\/td\u003e\n\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e1x 4K60 | 3x 4K30 | 4x 1080p60 | 8x 1080p30 (H.265)\u003cbr\u003e1x 4K60 | 3x 4K30 | 7x 1080p60 | 14x 1080p30 (H.264)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eفك تشفير الفيديو\u003c\/td\u003e\n\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e2x 4K60 | 4x 4K30 | 7x 1080p60 | 14x 1080p30 (H.265 \u0026amp; H.264)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eالعرض\u003c\/td\u003e\n\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e2 متعدد الأنماط DP 1.2\/eDP 1.4\/HDMI 2.0\u003cbr\u003e1x 2 DSI (1.5 جيجابت\/ثانية لكل مسار)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eالشبكات\u003c\/td\u003e\n\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e10\/100\/1000 BASE-T إيثرنت\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eميكانيكي\u003c\/td\u003e\n\n\u003ctd style=\"width: 379.625px; text-align: left;\" class=\"tableCRdata\" colspan=\"2\"\u003e69.6 مم × 45 مم\u003cbr\u003eموصل طرفي SO-DIMM بـ 260 دبوساً\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\n\n\n\u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":39516436791382,"sku":"SBC1103-NX","price":29649.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/Image1_88553d47-d730-4de0-aad7-4a8a9dfe6b57.png?v=1629799470"},{"product_id":"nvidia-jetson-agx-xavier-module-online","title":"وحدة Nvidia Jetson AGX Xavier","description":"\u003cp data-mce-fragment=\"1\"\u003eيضع NVIDIA® Jetson AGX Xavier™ معياراً جديداً لكثافة الحوسبة، وكفاءة الطاقة، وقدرات استدلال الذكاء الاصطناعي على أجهزة الحافة. إنه التطور التالي في الآلات الذكية من الجيل الجديد ذات القدرات المستقلة المتكاملة.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cspan\u003eتجعل وحدة Jetson AGX Xavier الآلات المستقلة المدعومة بالذكاء الاصطناعي أمراً ممكناً، حيث تعمل بطاقة منخفضة تصل إلى 10 واط وتوفر أداءً يصل إلى 32 تريليون عملية في الثانية (TOPs). وباعتبارها جزءاً من منصة حوسبة الذكاء الاصطناعي الرائدة عالمياً، فهي تستفيد من مجموعة أدوات وسير عمل الذكاء الاصطناعي الغنية من NVIDIA، مما يمكّن المطورين من تدريب الشبكات العصبية ونشرها بسرعة.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch5 data-mce-fragment=\"1\"\u003eالميزات \u003c\/h5\u003e\n\u003cp data-mce-fragment=\"1\"\u003eالحجم\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eطفرة في التطبيقات المدمجة\u003c\/strong\u003e\u003cbr data-mce-fragment=\"1\"\u003eبحجم لا يتعدى 100 × 87 مم فقط، يقدم Jetson AGX Xavier أداء محطات العمل الكبيرة في حجم يعادل عُشر حجم محطة العمل. وهذا يجعله مثالياً للآلات المستقلة مثل روبوتات التوصيل والخدمات اللوجستية، وأنظمة المصانع، والمركبات الجوية غير المأهولة (UAVs) الصناعية الكبيرة.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eالأداء \u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eنقل الأداء إلى الحافة\u003c\/strong\u003e\u003cbr data-mce-fragment=\"1\"\u003eباعتباره أول كمبيوتر في العالم مصمم خصيصاً للآلات المستقلة، يتمتع Jetson AGX Xavier بالأداء اللازم للتعامل مع قياس المسافات البصري، ودمج المستشعرات، وتحديد الموقع ورسم الخرائط، واكتشاف العوائق، وخوارزميات تخطيط المسار التي تعد بالغة الأهمية لروبوتات الجيل التالي. احصل على أداء يضاهي محطات العمل المزودة بوحدات معالجة الرسوميات (GPU) مع ما يصل إلى 32 تريليون عملية في الثانية (TOPS) كذروة حوسبة و750 جيجابت في الثانية من إدخال\/إخراج عالي السرعة في عامل شكل مدمج.\u003c\/p\u003e\n\u003cp 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الصناعية المدمجة، مع إمكانية ضبط استهلاك الطاقة بين 15 وات و75 وات. تتوافق هذه الوحدة في عامل الشكل والمنافذ مع Jetson AGX Orin، وتمنحك أداءً يفوق بـ 8 أضعاف أداء وحدة Jetson AGX Xavier الصناعية.\u003c\/p\u003e\n\u003cp\u003eيدعم نظام الوحدات هذا مسارات تطبيقات ذكاء اصطناعي متعددة ومتزامنة بفضل وحدة معالجة الرسومات (GPU) ذات معمارية NVIDIA Ampere، ومسرعات الرؤية والتعلم العميق من الجيل التالي، ومنافذ إدخال\/إخراج عالية السرعة، ونطاق ترددي سريع للذاكرة. وتأتي الوحدة بنطاق حراري موسع، وعمر تشغيلي طويل، ومواصفات مقاومة للصدمات والاهتزازات، بالإضافة إلى دعم ذاكرة تصحيح الأخطاء (ECC)، مما يجعلها مثالية لمنتجات الذكاء الاصطناعي ذات الدرجة الصناعية. كما تتضمن الوحدة ميزات أمنية مثل \"جذر الثقة\" المادي (Hardware Root of Trust)، والتمهيد الآمن، والتشفير المسرّع مادياً، ودعم التخزين والذاكرة المشفرة، وغيرها من الميزات الأمنية لحماية عمليات النشر الخاصة بك.\u003c\/p\u003e\n\u003cp\u003eتعمل منصة Jetson باستخدام حزمة برمجيات NVIDIA AI، وتتوفر أطر عمل تطبيقية مخصصة لحالات استخدام محددة، بما في ذلك Isaac™ للروبوتات، وDeepStream للذكاء الاصطناعي البصري، وRiva للذكاء الاصطناعي التخاطبي. يمكنك توفير وقت كبير باستخدام NVIDIA Omniverse Replicator لتوليد البيانات الاصطناعية (SDG)، وعن طريق استخدام مجموعة أدوات NVIDIA TAO لضبط نماذج الذكاء الاصطناعي المدربة مسبقاً من كتالوج NGC™.\u003c\/p\u003e\n\u003cp\u003eيقدم شركاء نظام Jetson برمجيات إضافية للذكاء الاصطناعي والنظام، وأدوات تطوير، وتطوير برمجيات مخصصة. كما يمكنهم المساعدة في توفير الكاميرات وأجهزة الاستشعار الأخرى، بالإضافة إلى لوحات الحامل (carrier boards) وخدمات التصميم لمنتجك.\u003c\/p\u003e\n\u003cp\u003eتعد وحدات Jetson Orin لا مثيل لها من حيث الأداء والكفاءة للروبوتات والآلات المستقلة الأخرى، وهي تمنحك المرونة لإنشاء الجيل القادم من حلول الذكاء الاصطناعي باستخدام أحدث تقنيات معالجات الرسوميات من NVIDIA. ومع حزمة برمجيات NVIDIA AI القياسية عالمياً ونظام متكامل من الخدمات والمنتجات، فإن طريقك إلى السوق لم يكن أسرع من أي وقت مضى.\u003cbr\u003e\u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003e \u003c\/span\u003e\u003c\/h2\u003e\n\u003ch2\u003e\u003cspan\u003eالميزات:\u003c\/span\u003e\u003c\/h2\u003e\n\u003ch4\u003e\n\n\u003cspan\u003eوحدة Jetson AGX Orin الصناعية (P3701)\u003c\/span\u003e\u003cbr\u003e\n\n\u003c\/h4\u003e\n\u003cul\u003e\n\n\u003cli\u003eوحدة معالجة رسومات (GPU) بمعمارية NVIDIA Ampere تحتوي على 2048 نواة و64 نواة تينسور\u003c\/li\u003e\n\n\u003cli\u003eعدد 2 من مسرعات NVDLA v2.0 \u0026gt; معالج CPU من نوع NVIDIA Arm Cortex A78AE v8.2 بـ 12 نواة و64 بت\u003c\/li\u003e\n\n\u003cli\u003eذاكرة 64 جيجابايت LPDDR5 بسرعة 256 بت (+ECC) \u0026gt; مسرع PVA v2.0\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\u003ch4\u003e\n\n\u003cspan\u003eالطاقة\u003c\/span\u003e\u003cbr\u003e\n\n\u003c\/h4\u003e\n\u003cul\u003e\n\n\u003cli\u003eجهد الإدخال: 5 فولت، 7-20 فولت\u003c\/li\u003e\n\n\u003cli\u003eطاقة الوحدة: 15 وات - 75 وات\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eالمواصفات التقنية:\u003c\/h2\u003e\n\u003ctable style=\"width: 70%;\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eأداء الذكاء الاصطناعي\u003c\/td\u003e\n\n\u003ctd\u003e\n\n\u003cspan id=\"page1R_mcid104\" class=\"markedContent\"\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003e275\u003c\/span\u003e\u003c\/span\u003e TOPS\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eوحدة معالجة الرسومات (GPU)\u003c\/td\u003e\n\n\u003ctd\u003eمعمارية Ampere بـ 2048 نواة، مع 64 نواة تينسور\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eالتردد الأقصى لوحدة GPU\u003c\/td\u003e\n\n\u003ctd\u003e1.2 جيجاهرتز\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eوحدة المعالجة المركزية (CPU)\u003c\/td\u003e\n\n\u003ctd\u003eمعالج NVIDIA Arm Cortex A78AE v8.2 بـ 12 نواة و64 بت، ذاكرة كاش L2 سعة 3 ميجابايت + L3 سعة 6 ميجابايت\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eالتردد الأقصى لـ CPU\u003c\/td\u003e\n\n\u003ctd\u003e2 جيجاهرتز\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eمسرع التعلم العميق (DL)\u003c\/td\u003e\n\n\u003ctd\u003eعدد 2 من NVDLA v2.0\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eمسرع الرؤية\u003c\/td\u003e\n\n\u003ctd\u003ePVA v2.0\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eالذاكرة\u003c\/td\u003e\n\n\u003ctd\u003e64 جيجابايت LPDDR5 بسرعة 256 بت @ 3200 ميجاهرتز 204.8 جيجابايت\/ثانية (+ECC)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eالتخزين\u003c\/td\u003e\n\n\u003ctd\u003e64 جيجابايت eMMC 5.1\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003ePCIe\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003e2 x8 + 1 x4 + 2 x1\u003cbr\u003e22 مساراً من نوع PCIe Gen 4\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eكاميرا CSI\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003e16 مساراً من نوع MIPI CSI-2 (16 قناة افتراضية)\u003cbr\u003eD-PHY 2.1 بسرعة 40 جيجابت\/ثانية \/ C-PHY 2.0 بسرعة 164 جيجابت\/ثانية\u003cbr\u003e\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eترميز الفيديو\u003c\/td\u003e\n\n\u003ctd\u003e1x 4K60 | 3x 4K30 | 7x 1080p60 | 15x 1080p30 (H.265)\u003cbr\u003eH.264, AV1\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eفك ترميز الفيديو\u003c\/td\u003e\n\n\u003ctd\u003e1x 8K30 | 3x 4K60 | 7x 4K30 | 11x 1080p60 | 23x 1080p30 (H.265) H.264, VP9, AV1\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eالشاشة\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003e1 متعددة الأوضاع (8K60, 2x 4K60) DP1.4a (+ MST)\/HDMI2.1\/eDP 1.4\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eالشبكات\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003e1 جيجابت إيثرنت | 1x 10 جيجابت إيثرنت\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eUSB\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003e3x USB 3.2 Gen 2 | 4x USB 2.0\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eمنافذ إدخال\/إخراج أخرى\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003e4x UART | 3x SPI | 4x I2S | 8x I2C | 2X CAN | PWM | DMIC | DSPK | GPIOs\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eالطاقة\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003e15 وات - 75 وات\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eالمواصفات الميكانيكية\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003e100 مم × 87 مم\u003cbr\u003eموصل بـ 699 سن\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\u003cbr\u003e\u003c\/td\u003e\n\n\u003ctd\u003e\u003cbr\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\u003cbr\u003e\u003c\/td\u003e\n\n\u003ctd\u003e\u003cbr\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eالصدمات الميكانيكية\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003e50G أثناء التشغيل\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eالاهتزاز\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003e5G أثناء التشغيل\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eدرجة الحرارة\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003e-40° درجة مئوية إلى 85° درجة مئوية عند سطح TTP\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eتحمل درجة الحرارة\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003e-40° درجة مئوية إلى 85° درجة مئوية\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eالتحمل الحراري والرطوبة (تحت التحميل)\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003e85° درجة مئوية \/ رطوبة نسبية 85%\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eالحشو (Underfill)\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003eربط زوايا النظام على شريحة (SoC) وحشو المكونات\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eذاكرة ECC\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003eيتم دعم DRAM ECC\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\n\n\n\u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":39522915319894,"sku":"SBC1104-MODi","price":389049.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/900-13701-0080-000-4T.jpg?v=1740878199"},{"product_id":"official-jetson-xavier-nx-heatsink-with-fan-online","title":"مشتت حراري رسمي مع مروحة لجهاز Jetson Xavier NX","description":"\u003ch2\u003eمشتت حراري مع مروحة لوحدة Jetson Xavier NX\u003c\/h2\u003e\n\u003cul style=\"text-align: center;\"\u003e\n\n\u003cli style=\"text-align: left;\"\u003eمتوافق تماماً مع وحدة Jetson Xavier NX.\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003eإدارة فعالة للحرارة: مبرد من سبيكة الألمنيوم بالكامل.\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003eسهل التجميع\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003e\u003cspan data-mce-fragment=\"1\"\u003eاللون: أسود\u003c\/span\u003e\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003e\n\n\u003cspan data-mce-fragment=\"1\"\u003eالمادة: سبيكة ألمنيوم \u003c\/span\u003e\u003cbr data-mce-fragment=\"1\"\u003e\n\n\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\u003cp\u003eملاحظة: وحدة Jetson XAVIER NX غير متضمنة. \u003c\/p\u003e\n\u003ch3\u003eمحتويات العبوة:\u003cbr data-mce-fragment=\"1\"\u003e\n\n\u003c\/h3\u003e\n\u003cul\u003e\n\n\u003cli\u003e1x مشتت حراري  \u003c\/li\u003e\n\n\u003cli\u003e1x حامل \u003c\/li\u003e\n\n\u003cli\u003e4x برغي\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\u003cp\u003e \u003cbr data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003eملاحظة: قد يكون هناك خطأ في القياس بمقدار ±2 سم.\u003c\/span\u003e\u003c\/p\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":39763994247254,"sku":"WVSH0359","price":1299.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/S2ab1824f26354ab882fb9ca09e0ac1b51.jpg?v=1647513697"},{"product_id":"nvidia-jetson-agx-orin-developer-kit-64gb","title":"طقم تطوير NVIDIA Jetson AGX Orin (سعة 64 جيجابايت)","description":"\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eتتضمن مجموعة تطوير NVIDIA® Jetson AGX Orin™ وحدة Jetson AGX Orin عالية الأداء وموفرة للطاقة، ويمكنها محاكاة وحدات Jetson Orin الأخرى. أصبح لديك الآن ما يصل إلى 275 تريليون عملية في الثانية (TOPS) وأداء يعادل 8 أضعاف أداء NVIDIA® Jetson AGX Xavier™ في نفس عامل الشكل المدمج لتطوير الروبوتات المتقدمة ومنتجات الآلات المستقلة الأخرى.\u003c\/p\u003e\n\u003cp\u003eبفضل دعم NVIDIA JetPack™ ومنصات البرمجيات الخاصة بحالات الاستخدام، بما في ذلك Isaac للروبوتات، وMetropolis للمدن الذكية، توفر مجموعة التطوير هذه كل ما تحتاجه للبدء على الفور.\u003c\/p\u003e\n\u003ch3 class=\"hdln--l\"\u003eمحتويات مجموعة التطوير\u003c\/h3\u003e\n\u003cul\u003e\n\n\u003cli\u003eوحدة Jetson AGX Orin مع مشتت حراري ولوحة حاملة مرجعية\u003c\/li\u003e\n\n\u003cli\u003eوحدة تحكم واجهة الشبكة اللاسلكية 802.11ac\/abgn\u003c\/li\u003e\n\n\u003cli\u003eمحول طاقة USB-C وسلك\u003c\/li\u003e\n\n\u003cli\u003eدليل البدء السريع والدعم\u003c\/li\u003e\n\n\u003cli\u003e\u003cspan style=\"color: #ff2a00;\"\u003eملاحظة: هناك مهلة زمنية مدتها 5 أيام بعد تقديم الطلب.\u003c\/span\u003e\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\u003cp class=\"content-l\" data-mce-fragment=\"1\"\u003e \u003cmeta charset=\"UTF-8\"\u003e\u003c\/p\u003e\n\u003ch3 class=\"hdln--l\"\u003eالمواصفات التقنية\u003c\/h3\u003e\n\u003cdiv class=\"row\"\u003e\n\n\u003cdiv class=\"col-md-3\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\n\u003cdiv class=\"col-md-6\"\u003e\n\n\u003ctable class=\"table table-bordered\"\u003e\n\n\u003cthead\u003e\n\n\u003ctr\u003e\n\n\u003cth colspan=\"2\"\u003eوحدة JETSON AGX ORIN\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eوحدة معالجة الرسومات (GPU)\u003c\/th\u003e\n\n\u003cth\u003eمعمارية NVIDIA Ampere مع 2048 نواة NVIDIA® CUDA® و64 نواة تينسور (Tensor)\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eوحدة المعالجة المركزية (CPU)\u003c\/th\u003e\n\n\u003cth\u003eوحدة معالجة مركزية Arm Cortex-A78AE v8.2 بـ 12 نواة 64 بت \u003cbr\u003e3 ميجابايت L2 + 6 ميجابايت L3\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eمسرع التعلم العميق (DL Accelerator)\u003c\/th\u003e\n\n\u003cth\u003e2x NVDLA v2.0\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eمسرع الرؤية\u003c\/th\u003e\n\n\u003cth\u003ePVA v2.0\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eالذاكرة\u003c\/th\u003e\n\n\u003cth\u003e64 جيجابايت 256 بت LPDDR5 \u003cbr\u003e204.8 جيجابايت\/ثانية\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eالتخزين\u003c\/th\u003e\n\n\u003cth\u003e64 جيجابايت eMMC 5.1\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eترميز الفيديو\u003c\/th\u003e\n\n\u003cth\u003e2x 4K60 | 4x 4K30 | 8x 1080p60 | 16x 1080p30 (H.265)\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eفك ترميز الفيديو\u003c\/th\u003e\n\n\u003cth\u003e1x 8K30 | 3x 4K60 | 6x 4K30 | 12x 1080p60 | 24x 1080p30 (H.265)\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\n\u003c\/thead\u003e\n\n\u003ctbody\u003e\u003c\/tbody\u003e\n\n\n\u003c\/table\u003e\n\n\u003cp class=\"content-s\"\u003eراجع قسم ميزات البرامج في أحدث دليل لمطوري NVIDIA Jetson Linux للحصول على قائمة بالميزات المدعومة.\u003c\/p\u003e\n\n\u003cbr\u003e\n\u003ctable class=\"table table-bordered\"\u003e\n\n\u003cthead\u003e\n\n\u003ctr\u003e\n\n\u003cth colspan=\"2\"\u003eاللوحة الحاملة المرجعية\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eالكاميرا\u003c\/th\u003e\n\n\u003cth\u003eموصل 16 مسار MIPI CSI-2\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003ePCIe\u003c\/th\u003e\n\n\u003cth\u003eفتحة x16 PCIe تدعم x8 PCIe Gen4\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eRJ45\u003c\/th\u003e\n\n\u003cth\u003eحتى 10 جيجابت إيثرنت\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eM.2 Key M\u003c\/th\u003e\n\n\u003cth\u003ex4 PCIe Gen 4\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eM.2 Key E\u003c\/th\u003e\n\n\u003cth\u003ex1 PCIe Gen 4, USB 2.0, UART, I2S\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eUSB Type-C\u003c\/th\u003e\n\n\u003cth\u003e2x USB 3.2 Gen2 مع دعم USB-PD\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eUSB Type-A\u003c\/th\u003e\n\n\u003cth\u003e2x USB 3.2 Gen2, 2x USB 3.2 Gen1\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eUSB Micro-B\u003c\/th\u003e\n\n\u003cth\u003eUSB 2.0\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eDisplayPort\u003c\/th\u003e\n\n\u003cth\u003eDisplayPort 1.4a (+MST)\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eفتحة microSD\u003c\/th\u003e\n\n\u003cth\u003eبطاقات UHS-1 حتى وضع SDR104\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eأخرى\u003c\/th\u003e\n\n\u003cth\u003eرأس 40 سن (I2C, GPIO, SPI, CAN, I2S, UART, DMIC) \u003cbr\u003eرأس أتمتة 12 سن \u003cbr\u003eرأس لوحة صوت 10 سن \u003cbr\u003eرأس JTAG 10 سن \u003cbr\u003eرأس مروحة 4 سن \u003cbr\u003eموصل بطارية RTC احتياطي 2 سن \u003cbr\u003eمقبس طاقة تيار مستمر \u003cbr\u003eأزرار الطاقة، استعادة القوة، وإعادة الضبط\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eالأبعاد\u003c\/th\u003e\n\n\u003cth\u003e110 مم × 110 مم × 71.65 مم \u003cbr\u003e(الارتفاع يشمل الأقدام، اللوحة الحاملة، الوحدة، والحل الحراري)\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\n\u003c\/thead\u003e\n\n\n\u003c\/table\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":39806068162646,"sku":"SBC1105-DEV","price":424999.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/agx-drive-concord-2c50-P_2x_f70ef5ff-e87e-46c6-8c9f-2abfc3138002.png?v=1650646505"},{"product_id":"nvidia-jetson-agx-orin-som-32gb-online","title":"وحدة NVIDIA Jetson AGX Orin للنظام على وحدة (SOM)","description":"\u003cdiv class=\"rt u-gutter-marginBottom ng-star-inserted\"\u003e\n\n\u003ch2\u003eNVIDIA® Jetson AGX Orin™ 32GB\u003c\/h2\u003e\n\n\u003cp\u003eتوفر وحدة NVIDIA Jetson AGX Orin 32GB أداء ذكاء اصطناعي يصل إلى 200 TOPS مع قدرة طاقة قابلة للضبط تتراوح بين 15 واط و40 واط. يمنحك هذا أداءً يفوق أداء Jetson AGX Xavier بأكثر من 6 أضعاف في نفس التصميم المدمج المخصص للروبوتات وغيرها من حالات استخدام الآلات ذاتية التشغيل.\u003cbr\u003e\u003cbr\u003eيدعم هذا النظام الموجود على وحدة (System-on-Module) مسارات تطبيقات ذكاء اصطناعي متعددة ومتزامنة بفضل معمارية وحدة معالجة الرسومات NVIDIA Ampere، ومسرعات التعلم العميق والرؤية الحاسوبية من الجيل التالي، ومنافذ إدخال\/إخراج عالية السرعة، ونطاق ترددي سريع للذاكرة. يمكنك الآن تطوير حلول تستخدم أكبر نماذج الذكاء الاصطناعي وأكثرها تعقيداً لحل مشكلات مثل فهم اللغات الطبيعية، والإدراك ثلاثي الأبعاد، ودمج بيانات المستشعرات المتعددة.\u003cbr\u003e\u003cbr\u003eتعمل منصة Jetson باستخدام حزمة برمجيات الذكاء الاصطناعي من NVIDIA، وتتوفر أطر عمل تطبيقية خاصة بحالات الاستخدام، بما في ذلك Isaac™ للروبوتات، وDeepStream للذكاء الاصطناعي البصري، وRiva للذكاء الاصطناعي التحادثي. يمكنك توفير وقت كبير باستخدام NVIDIA Omniverse Replicator لتوليد البيانات الاصطناعية (SDG)، وعن طريق استخدام مجموعة أدوات NVIDIA TAO لتحسين نماذج الذكاء الاصطناعي المدربة مسبقاً من كتالوج NGC™.\u003cbr\u003e\u003cbr\u003eيقدم شركاء نظام Jetson البيئي برمجيات إضافية للذكاء الاصطناعي والنظام، وأدوات للمطورين، وتطويراً برمجياً مخصصاً. كما يمكنهم المساعدة في توفير الكاميرات وغيرها من المستشعرات، بالإضافة إلى لوحات الناقل (Carrier Boards) وخدمات التصميم لمنتجك.\u003cbr\u003e\u003cbr\u003eتعد وحدات Jetson Orin لا تضاهى من حيث الأداء والكفاءة للروبوتات والآلات ذاتية التشغيل الأخرى، وهي تمنحك المرونة لإنشاء الجيل التالي من حلول الذكاء الاصطناعي باستخدام أحدث تقنيات وحدات معالجة الرسومات من NVIDIA. جنباً إلى جنب مع حزمة برمجيات الذكاء الاصطناعي من NVIDIA والمعتمدة عالمياً، ونظام بيئي متكامل من الخدمات والمنتجات، لم تكن رحلتك إلى السوق أسرع من أي وقت مضى.\u003c\/p\u003e\n\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\n\n\u003c\/div\u003e\n\u003cdiv id=\"Pdp-specifications\" class=\"PartSpecifications ng-star-inserted\"\u003e\n\n\u003ch2 class=\"PartSpecifications-heading ng-star-inserted\"\u003eالمواصفات الفنية للمنتج\u003c\/h2\u003e\n\n\u003ctable role=\"presentation\" class=\"PartSpecifications-list SimpleAccordion is-active\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"EU RoHS. Tooltip: Restriction of Hazardous Substances in electrical and electronic equipment\" class=\"ng-star-inserted\" tooltip=\"Restriction of Hazardous Substances in electrical and electronic equipment\"\u003e\u003cspan aria-hidden=\"true\"\u003eEU RoHS\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\n\n\u003cstrong\u003eغير مؤكد من المورد \u003c\/strong\u003e\u003cspan aria-hidden=\"true\" class=\"Icon Icon--rohs ng-star-inserted\" title=\"EU RoHS Supplier Unconfirmed\"\u003e\u003c\/span\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"ECCN (US). Tooltip: Export Control Classification Number\" class=\"ng-star-inserted\" tooltip=\"Export Control Classification Number\"\u003e\u003cspan aria-hidden=\"true\"\u003eECCN (الولايات المتحدة)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e5A992c.\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Part Status. Tooltip: A product\/component is actively being produced and sold\" class=\"ng-star-inserted\" tooltip=\"A product\/component is actively being produced and sold\"\u003e\u003cspan aria-hidden=\"true\"\u003eحالة الجزء\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eنشط\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"HTS. Tooltip: Harmonized Tariff Schedule code\" class=\"ng-star-inserted\" tooltip=\"Harmonized Tariff Schedule code\"\u003e\u003cspan aria-hidden=\"true\"\u003eHTS\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e8473.30.11.80\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan class=\"ng-star-inserted\"\u003eللسيارات\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eغير معروف\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan class=\"ng-star-inserted\"\u003ePPAP\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eغير معروف\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Processor Type. Tooltip: Processor Type describes the type of manufacture that the processor belongs to.\" class=\"ng-star-inserted\" tooltip=\"Processor Type describes the type of manufacture that the processor belongs to.\"\u003e\u003cspan aria-hidden=\"true\"\u003eنوع المعالج\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eARM\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Processor Family. Tooltip: Processor Family describes the group of processors that the processor belongs to, which has a specific common features and applications.\" class=\"ng-star-inserted\" tooltip=\"Processor Family describes the group of processors that the processor belongs to, which has a specific common features and applications.\"\u003e\u003cspan aria-hidden=\"true\"\u003eعائلة المعالج\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eCortex-A78AE v8.2\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Processor Number. Tooltip: Processor Number describes the processor part number of the processor.\" class=\"ng-star-inserted\" tooltip=\"Processor Number describes the processor part number of the processor.\"\u003e\u003cspan aria-hidden=\"true\"\u003eرقم المعالج\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eARM Cortex-A78AE v8.2\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Processor Cores. Tooltip: Processor Cores describes the cores category that the processor belongs to.\" class=\"ng-star-inserted\" tooltip=\"Processor Cores describes the cores category that the processor belongs to.\"\u003e\u003cspan aria-hidden=\"true\"\u003eأنوية المعالج\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e8 نواة\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Processor Speed (Hz). Tooltip: Processor Speed describes how many bits the processor can process in a second.\" class=\"ng-star-inserted\" tooltip=\"Processor Speed describes how many bits the processor can process in a second.\"\u003e\u003cspan aria-hidden=\"true\"\u003eسرعة المعالج (هرتز)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e2.2 جيجاهرتز\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003c!--nl-- \u003e\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Processor Thermal Design Power (W). Tooltip: Processor Thermal Design Power describes the maximum amount of power the cooling system in a computer is required to dissipate.\" class=\"ng-star-inserted\" tooltip=\"Processor Thermal Design Power describes the maximum amount of power the cooling system in a computer is required to dissipate.\"\u003e\u003cspan aria-hidden=\"true\"\u003eالطاقة الحرارية التصميمية للمعالج (واط)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e15|30|40\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Form Factor. Tooltip: Form Factor describes the size, configuration, or physical arrangement of a computer hardware object.\" class=\"ng-star-inserted\" tooltip=\"Form Factor describes the size, configuration, or physical arrangement of a computer hardware object.\"\u003e\u003cspan aria-hidden=\"true\"\u003eعامل الشكل\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eمدمج\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"JTAG Support. Tooltip: JTAG Support describes the IEEE standard for boundary scan technology. A   standard specifying how to control and monitor the pins of   compliant devices on a printed circuit board.\" class=\"ng-star-inserted\" tooltip=\"JTAG Support describes the IEEE standard for boundary scan technology. A   standard specifying how to control and monitor the pins of   compliant devices on a printed circuit board.\"\u003e\u003cspan aria-hidden=\"true\"\u003eدعم JTAG\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eنعم\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Data Cache Size (B). Tooltip: Data Cache Size describes the program a personal computer's microprocessor uses to get the computer system started after you turn it on.\" class=\"ng-star-inserted\" tooltip=\"Data Cache Size describes the program a personal computer's microprocessor uses to get the computer system started after you turn it on.\"\u003e\u003cspan aria-hidden=\"true\"\u003eحجم ذاكرة التخزين المؤقت للبيانات (بايت)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e2M|4M\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Number of System Memory. Tooltip: Number of System Memory describes the number of memories that the system supports it.\" class=\"ng-star-inserted\" tooltip=\"Number of System Memory describes the number of memories that the system supports it.\"\u003e\u003cspan aria-hidden=\"true\"\u003eعدد ذاكرات النظام\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e1\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"RAM Type. Tooltip: System Memory Type describes a form of computer data storage. A random-access device allows stored data to be accessed in very nearly the same amount of time for any storage location, so data can be accessed quickly in any random order.\" class=\"ng-star-inserted\" tooltip=\"System Memory Type describes a form of computer data storage. A random-access device allows stored data to be accessed in very nearly the same amount of time for any storage location, so data can be accessed quickly in any random order.\"\u003e\u003cspan aria-hidden=\"true\"\u003eنوع ذاكرة الوصول العشوائي (RAM)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eLPDDR5\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"System Memory Socket Type. Tooltip: System Memory Socket Type describes the socket type of the connector.\" class=\"ng-star-inserted\" tooltip=\"System Memory Socket Type describes the socket type of the connector.\"\u003e\u003cspan aria-hidden=\"true\"\u003eنوع مقبس ذاكرة النظام\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eDRAM\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"System Memory Maximum Size (B). Tooltip: System Memory Maximum Size describes the maximum size of the memory that the system supports it.\" class=\"ng-star-inserted\" tooltip=\"System Memory Maximum Size describes the maximum size of the memory that the system supports it.\"\u003e\u003cspan aria-hidden=\"true\"\u003eالحد الأقصى لحجم ذاكرة النظام (بايت)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e32G\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"System Memory Speed. Tooltip: System Memory Speed describes the rate at which the memory can receive data and send data to the processor.\" class=\"ng-star-inserted\" tooltip=\"System Memory Speed describes the rate at which the memory can receive data and send data to the processor.\"\u003e\u003cspan aria-hidden=\"true\"\u003eسرعة ذاكرة النظام\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e3200 ميجاهرتز\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"UART. Tooltip: UART is an interface that converts parallel bytes from the CPU into serial bits for transmission, and vice versa.\" class=\"ng-star-inserted\" tooltip=\"UART is an interface that converts parallel bytes from the CPU into serial bits for transmission, and vice versa.\"\u003e\u003cspan aria-hidden=\"true\"\u003eUART\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e4\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"USART. Tooltip: USART is a universal synchronous\/asynchronous receiver\/transmitter is a UART that can also communicate synchronously.\" class=\"ng-star-inserted\" tooltip=\"USART is a universal synchronous\/asynchronous receiver\/transmitter is a UART that can also communicate synchronously.\"\u003e\u003cspan aria-hidden=\"true\"\u003eUSART\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"SPI. Tooltip: SPI is a full-duplex synchronous serial interface for connecting low-\/medium-bandwidth external devices using four wires.\" class=\"ng-star-inserted\" tooltip=\"SPI is a full-duplex synchronous serial interface for connecting low-\/medium-bandwidth external devices using four wires.\"\u003e\u003cspan aria-hidden=\"true\"\u003eSPI\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e3\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"I2C. Tooltip: I2C is a bi-directional two-wire serial bus that provides a communication link between integrated circuits (ICs).\" class=\"ng-star-inserted\" tooltip=\"I2C is a bi-directional two-wire serial bus that provides a communication link between integrated circuits (ICs).\"\u003e\u003cspan aria-hidden=\"true\"\u003eI2C\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e8\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"CAN. Tooltip: CAN describes the Controller Area Network (CAN) protocol is a serial communication protocol originally developed by Robert Bosch for use in serial communication networks in vehicles.\" class=\"ng-star-inserted\" tooltip=\"CAN describes the Controller Area Network (CAN) protocol is a serial communication protocol originally developed by Robert Bosch for use in serial communication networks in vehicles.\"\u003e\u003cspan aria-hidden=\"true\"\u003eCAN\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e2\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"USB. Tooltip: USB is Universal Serial Port which is a plug-and-play interface between a computer and add-on devices, such as media players, keyboards, telephones, digital cameras, scanners, flash drives, joysticks and printers.It supports hot-swapping, which means that a new device can be added to your computer without having to add an adapter card or even having to turn the computer off.\" class=\"ng-star-inserted\" tooltip=\"USB is Universal Serial Port which is a plug-and-play interface between a computer and add-on devices, such as media players, keyboards, telephones, digital cameras, scanners, flash drives, joysticks and printers.It supports hot-swapping, which means that a new device can be added to your computer without having to add an adapter card or even having to turn the computer off.\"\u003e\u003cspan aria-hidden=\"true\"\u003eUSB\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e7\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"VGA. Tooltip: VGA is a 15-pin D-subminiature set of male and female electrical connectors that relays data from a computer to an output device.\" class=\"ng-star-inserted\" tooltip=\"VGA is a 15-pin D-subminiature set of male and female electrical connectors that relays data from a computer to an output device.\"\u003e\u003cspan aria-hidden=\"true\"\u003eVGA\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"SATA. Tooltip: SATA is a standard hardware interface for connecting hard drives and CD\/DVD drives to a computer. SATA is the serial version of the earlier Parallel ATA (PATA) interface.\" class=\"ng-star-inserted\" tooltip=\"SATA is a standard hardware interface for connecting hard drives and CD\/DVD drives to a computer. SATA is the serial version of the earlier Parallel ATA (PATA) interface.\"\u003e\u003cspan aria-hidden=\"true\"\u003eSATA\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"PATA. Tooltip: PATA is the original IDE hard drive technology that uses a parallel data channel from the motherboard to the disk drives.\" class=\"ng-star-inserted\" tooltip=\"PATA is the original IDE hard drive technology that uses a parallel data channel from the motherboard to the disk drives.\"\u003e\u003cspan aria-hidden=\"true\"\u003ePATA\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"GPIO. Tooltip: GPIO is a generic interface whose behavior (including whether it is an input or output pin) can be controlled (programmed) by the user at run time.\" class=\"ng-star-inserted\" tooltip=\"GPIO is a generic interface whose behavior (including whether it is an input or output pin) can be controlled (programmed) by the user at run time.\"\u003e\u003cspan aria-hidden=\"true\"\u003eGPIO\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Audio Interfaces. Tooltip: Audio Interfaces are interfaces take all the various audio inputs and convert them into digital audio data.\" class=\"ng-star-inserted\" tooltip=\"Audio Interfaces are interfaces take all the various audio inputs and convert them into digital audio data.\"\u003e\u003cspan aria-hidden=\"true\"\u003eواجهات الصوت\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e1@DMIC\/1@DSPK\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Video In. Tooltip: Video In هو منفذ رسومات يتيح لبطاقات الفيديو إمكانية نقل إشارات الفيديو التناظرية عبر موصل mini-DIN.\" class=\"ng-star-inserted\" tooltip=\"Video In هو منفذ رسومات يتيح لبطاقات الفيديو إمكانية نقل إشارات الفيديو التناظرية عبر موصل mini-DIN.\"\u003e\u003cspan aria-hidden=\"true\"\u003eمدخل الفيديو\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eنعم\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"RS485. Tooltip: RS485 هو معيار تحالف صناعة الإلكترونيات (EIA) للاتصالات متعددة النقاط. وهو يدعم عدة أنواع من الموصلات، بما في ذلك DB-9 وDB-37. يشبه RS-485 معيار RS-422 ولكنه يمكنه دعم عدد أكبر من العُقد لكل خط لأنه يستخدم محركات ومستقبلات ذات ممانعة منخفضة.\" class=\"ng-star-inserted\" tooltip=\"RS485 هو معيار تحالف صناعة الإلكترونيات (EIA) للاتصالات متعددة النقاط. وهو يدعم عدة أنواع من الموصلات، بما في ذلك DB-9 وDB-37. يشبه RS-485 معيار RS-422 ولكنه يمكنه دعم عدد أكبر من العُقد لكل خط لأنه يستخدم محركات ومستقبلات ذات ممانعة منخفضة.\"\u003e\u003cspan aria-hidden=\"true\"\u003eRS485\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"RS232. Tooltip: RS232 هو معيار TIA\/EIA للإرسال التسلسلي بين أجهزة الكمبيوتر والأجهزة الطرفية (المودم، الماوس، إلخ). باستخدام موصل DB-25 ذي 25 سنًا أو موصل DB-9 ذي 9 سنون، يمكن تمديد مسافة الكابل العادية البالغة 50 قدمًا إلى عدة مئات من الأقدام باستخدام كابل عالي الجودة.\" class=\"ng-star-inserted\" tooltip=\"RS232 هو معيار TIA\/EIA للإرسال التسلسلي بين أجهزة الكمبيوتر والأجهزة الطرفية (المودم، الماوس، إلخ). باستخدام موصل DB-25 ذي 25 سنًا أو موصل DB-9 ذي 9 سنون، يمكن تمديد مسافة الكابل العادية البالغة 50 قدمًا إلى عدة مئات من الأقدام باستخدام كابل عالي الجودة.\"\u003e\u003cspan aria-hidden=\"true\"\u003eRS232\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"RS422. Tooltip: RS422 هو معيار TIA\/EIA للواجهات التسلسلية التي تزيد المسافات والسرعات عن معيار RS-232. RS-422 هو نظام متوازن يتطلب أزواج أسلاك أكثر من نظيره RS-423 ومخصص للاستخدام في الخطوط متعددة النقاط. كلاهما يستخدم إما موصلًا بـ 37 سنًا محددًا بواسطة RS-449 أو موصلًا بـ 25 سنًا محددًا بواسطة RS-530.\" class=\"ng-star-inserted\" tooltip=\"RS422 هو معيار TIA\/EIA للواجهات التسلسلية التي تزيد المسافات والسرعات عن معيار RS-232. RS-422 هو نظام متوازن يتطلب أزواج أسلاك أكثر من نظيره RS-423 ومخصص للاستخدام في الخطوط متعددة النقاط. كلاهما يستخدم إما موصلًا بـ 37 سنًا محددًا بواسطة RS-449 أو موصلًا بـ 25 سنًا محددًا بواسطة RS-530.\"\u003e\u003cspan aria-hidden=\"true\"\u003eRS422\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"PCI. Tooltip: PCI هو نظام ربط بين المعالج الدقيق والأجهزة المتصلة حيث يتم وضع فتحات التوسعة بشكل متقارب لضمان التشغيل عالي السرعة.\" class=\"ng-star-inserted\" tooltip=\"PCI هو نظام ربط بين المعالج الدقيق والأجهزة المتصلة حيث يتم وضع فتحات التوسعة بشكل متقارب لضمان التشغيل عالي السرعة.\"\u003e\u003cspan aria-hidden=\"true\"\u003ePCI\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"AGP. Tooltip: AGP هو مواصفة واجهة تمكّن رسومات ثلاثية الأبعاد من العرض بسرعة على أجهزة الكمبيوتر الشخصية العادية. تم تصميم AGP لنقل الصور ثلاثية الأبعاد بسرعة وسلاسة أكبر بكثير مما هو ممكن اليوم على أي كمبيوتر بخلاف محطات عمل الرسومات باهظة الثمن.\" class=\"ng-star-inserted\" tooltip=\"AGP هو مواصفة واجهة تمكّن رسومات ثلاثية الأبعاد من العرض بسرعة على أجهزة الكمبيوتر الشخصية العادية. تم تصميم AGP لنقل الصور ثلاثية الأبعاد بسرعة وسلاسة أكبر بكثير مما هو ممكن اليوم على أي كمبيوتر بخلاف محطات عمل الرسومات باهظة الثمن.\"\u003e\u003cspan aria-hidden=\"true\"\u003eAGP\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Ethernet Controller Type. Tooltip: يصف نوع وحدة تحكم Ethernet نوع وحدة التحكم (الشركة المصنعة ورقم الجزء الخاص بها) المستخدم للشبكة المحلية.\" class=\"ng-star-inserted\" tooltip=\"يصف نوع وحدة تحكم Ethernet نوع وحدة التحكم (الشركة المصنعة ورقم الجزء الخاص بها) المستخدم للشبكة المحلية.\"\u003e\u003cspan aria-hidden=\"true\"\u003eنوع وحدة تحكم Ethernet\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eRGMII\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Ethernet. Tooltip: يصف عدد منافذ Ethernet عدد منافذ Ethernet أو RJ-45 التي يدعمها الجهاز.\" class=\"ng-star-inserted\" tooltip=\"يصف عدد منافذ Ethernet عدد منافذ Ethernet أو RJ-45 التي يدعمها الجهاز.\"\u003e\u003cspan aria-hidden=\"true\"\u003eEthernet\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e2\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Ethernet Speed. Tooltip: تصف سرعة Ethernet معدل نقل البيانات الذي تدعمه وحدة تحكم الشبكة.\" class=\"ng-star-inserted\" tooltip=\"تصف سرعة Ethernet معدل نقل البيانات الذي تدعمه وحدة تحكم الشبكة.\"\u003e\u003cspan aria-hidden=\"true\"\u003eسرعة Ethernet\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e1000Mbps\/10000Mbps\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Display Type. Tooltip: يصف نوع الشاشة نوع العرض الخاص بالجهاز.\" class=\"ng-star-inserted\" tooltip=\"يصف نوع الشاشة نوع العرض الخاص بالجهاز.\"\u003e\u003cspan aria-hidden=\"true\"\u003eنوع الشاشة\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eLCD\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Display Interface. Tooltip: تصف واجهة العرض الحد الذي يلتقي عنده نظامان مستقلان ويتفاعلان أو يتواصلان مع بعضهما البعض.\" class=\"ng-star-inserted\" tooltip=\"تصف واجهة العرض الحد الذي يلتقي عنده نظامان مستقلان ويتفاعلان أو يتواصلان مع بعضهما البعض.\"\u003e\u003cspan aria-hidden=\"true\"\u003eواجهة العرض\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eDP|eDP|HDMI\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Graphic Card Resolution (Pixels). Tooltip: تصف دقة بطاقة الرسومات عدد البكسلات المميزة في كل بُعد والتي يمكن عرضها.\" class=\"ng-star-inserted\" tooltip=\"تصف دقة بطاقة الرسومات عدد البكسلات المميزة في كل بُعد والتي يمكن عرضها.\"\u003e\u003cspan aria-hidden=\"true\"\u003eدقة بطاقة الرسومات (بالبكسل)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e7680×4320@DP\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Operating Systems. Tooltip: تصف أنظمة التشغيل البرنامج أو مجموعة البرامج التي تتوسط الوصول بين الأجهزة المادية (مثل لوحة المفاتيح، الماوس، الشاشة، محرك الأقراص أو اتصال الشبكة) وبرامج التطبيقات (مثل معالج النصوص، متصفح الويب أو عميل البريد الإلكتروني).\" class=\"ng-star-inserted\" tooltip=\"تصف أنظمة التشغيل البرنامج أو مجموعة البرامج التي تتوسط الوصول بين الأجهزة المادية (مثل لوحة المفاتيح، الماوس، الشاشة، محرك الأقراص أو اتصال الشبكة) وبرامج التطبيقات (مثل معالج النصوص، متصفح الويب أو عميل البريد الإلكتروني).\"\u003e\u003cspan aria-hidden=\"true\"\u003eأنظمة التشغيل\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eJetPack SDK|Linux|RTOS\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Linux. Tooltip: يصف Linux ما إذا كان الجهاز يدعم نظام التشغيل Linux أم لا وإصداراته المدعومة.\" class=\"ng-star-inserted\" tooltip=\"يصف Linux ما إذا كان الجهاز يدعم نظام التشغيل Linux أم لا وإصداراته المدعومة.\"\u003e\u003cspan aria-hidden=\"true\"\u003eLinux\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eLinux\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Medical Application. Tooltip: يصف التطبيق الطبي ما إذا كان يمكن استخدام الجهاز في التطبيقات الطبية أم لا.\" class=\"ng-star-inserted\" tooltip=\"يصف التطبيق الطبي ما إذا كان يمكن استخدام الجهاز في التطبيقات الطبية أم لا.\"\u003e\u003cspan aria-hidden=\"true\"\u003eتطبيق طبي\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eنعم\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Minimum Operating Supply Voltage (V). Tooltip: يصف الحد الأدنى لجهد التغذية التشغيلي الحد الأدنى لجهد الإمداد الذي تم تحديد أن الجهاز يعمل فيه وفقًا لمواصفات الجهاز المعمول بها.\" class=\"ng-star-inserted\" tooltip=\"يصف الحد الأدنى لجهد التغذية التشغيلي الحد الأدنى لجهد الإمداد الذي تم تحديد أن الجهاز يعمل فيه وفقًا لمواصفات الجهاز المعمول بها.\"\u003e\u003cspan aria-hidden=\"true\"\u003eالحد الأدنى لجهد التغذية التشغيلي (فولت)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e7\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Maximum Operating Supply Voltage (V). Tooltip: يصف الحد الأقصى لجهد التغذية التشغيلي الحد الأقصى لجهد الإمداد الذي تم تحديد أن الجهاز يعمل فيه وفقًا لمواصفات الجهاز المعمول بها.\" class=\"ng-star-inserted\" tooltip=\"يصف الحد الأقصى لجهد التغذية التشغيلي الحد الأقصى لجهد الإمداد الذي تم تحديد أن الجهاز يعمل فيه وفقًا لمواصفات الجهاز المعمول بها.\"\u003e\u003cspan aria-hidden=\"true\"\u003eالحد الأقصى لجهد التغذية التشغيلي (فولت)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e20\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Pinout Type. Tooltip: يصف نوع ترتيب الأرجل المرجع التبادلي بين جهات الاتصال، أو الأرجل، للموصل الكهربائي أو المكون الإلكتروني، ووظائفها.\" class=\"ng-star-inserted\" tooltip=\"يصف نوع ترتيب الأرجل المرجع التبادلي بين جهات الاتصال، أو الأرجل، للموصل الكهربائي أو المكون الإلكتروني، ووظائفها.\"\u003e\u003cspan aria-hidden=\"true\"\u003eنوع ترتيب الأرجل (Pinout)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eSOM\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\n\n\u003cp data-mce-fragment=\"1\"\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"32GB","offer_id":45232480452925,"sku":"SBC1052-32GB","price":228799.99,"currency_code":"INR","in_stock":false},{"title":"64GB","offer_id":45232480485693,"sku":"SBC1052-64GB","price":366149.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/nvidia-jetson-agx-orin-module-front-2c50-p_2x_c3f78f88-30c0-4e5c-a36a-53b1b0e10488.jpg?v=1666799681"},{"product_id":"nvidia-jetson-orin-nano-developer-kit","title":"مجموعة مطوري NVIDIA Jetson Orin Nano Super","description":"\u003ch2 style=\"text-align: center;\"\u003eمجموعة المطورين NVIDIA Jetson Orin™ Nano Super\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cmeta charset=\"UTF-8\"\u003e\u003cspan\u003eتعد مجموعة المطورين NVIDIA Jetson Orin Nano™ Super حاسوباً مدمجاً وقوياً يعيد تعريف الذكاء الاصطناعي التوليدي للأجهزة الطرفية الصغيرة. فهي توفر أداء ذكاء اصطناعي يصل إلى 67 TOPS - أي تحسن بمقدار 1.7 ضعف عن الإصدار السابق - لتشغيل أكثر نماذج الذكاء الاصطناعي التوليدي شيوعاً بسلاسة، مثل نماذج الرؤية التحويلية (Vision Transformers)، والنماذج اللغوية الكبيرة، ونماذج الرؤية واللغة، والمزيد.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003eملاحظة: الحد الأقصى هو أربع وحدات لكل حساب عميل لاستخدامات البحث والتطوير فقط. تُعفى المؤسسات التعليمية من هذا القيد. مزود الطاقة مشمول في المجموعة.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003eللحصول على كميات أكبر، تتوفر \u003cspan style=\"text-decoration: underline; color: rgb(43, 0, 255);\"\u003e\u003cem\u003e\u003ca style=\"color: rgb(43, 0, 255); text-decoration: underline;\" rel=\"noopener\" href=\"https:\/\/thinkrobotics.com\/products\/thinkrobotics-edge-ai-device-with-nvidia-jetson-orin%E2%84%A2-nano-made-in-india?utm_source=copyToPasteBoard\u0026amp;utm_medium=product-links\u0026amp;utm_content=web\" target=\"_blank\"\u003e\u003cstrong\u003eمجموعات نشر NVIDIA Jetson Orin™ Nano\u003c\/strong\u003e\u003c\/a\u003e\u003c\/em\u003e\u003c\/span\u003e.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eالميزات\u003c\/h2\u003e\n\u003ctable style=\"width: 99.5588%;\" border=\"0\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: center; width: 50.8804%;\"\u003e\u003cstrong\u003eأداء الذكاء الاصطناعي\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 48.6613%;\"\u003e67 TOPS\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: center; width: 50.8804%;\"\u003e\u003cstrong\u003eعرض نطاق الذاكرة\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 48.6613%;\"\u003e102 جيجابايت\/ثانية\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: center; width: 50.8804%;\"\u003e\u003cstrong\u003eتردد المعالج (CPU)\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 48.6613%;\"\u003e1.7 جيجاهرتز\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: center; width: 50.8804%;\"\u003e\u003cstrong\u003eوحدة معالجة الرسوميات (GPU)\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 48.6613%;\"\u003eمعالج رسوميات بـ 1024 نواة بمعمارية NVIDIA Ampere مع 32 نواة تينسور\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: center; width: 50.8804%;\"\u003e\u003cstrong\u003eالمعالج (CPU)\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 48.6613%;\"\u003eمعالج Arm® Cortex®-A78AE v8.2 سداسي النوى 64-بت، ذاكرة مؤقتة L2 سعة 1.5 ميجابايت + L3 سعة 4 ميجابايت\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: center; width: 50.8804%;\"\u003e\u003cstrong\u003eالذاكرة\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 48.6613%;\"\u003e8 جيجابايت LPDDR5 بـ 128-بت بسرعة 68 جيجابايت\/ثانية\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: center; width: 50.8804%;\"\u003e\u003cstrong\u003eالتخزين\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 48.6613%;\"\u003eفتحة بطاقة SD وذاكرة NVMe خارجية عبر منفذ M.2 Key M\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: center; width: 50.8804%;\"\u003e\u003cstrong\u003eالطاقة\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 48.6613%;\"\u003e7 واط – 25 واط\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\n\n\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ctable style=\"width: 99.5588%; height: 957.816px;\" border=\"0\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr style=\"height: 56.9205px;\"\u003e\n\n\u003ctd style=\"text-align: center; width: 99.3512%; height: 56.9205px;\" height=\"46\" width=\"935\" colspan=\"3\" class=\"et3\"\u003e\n\n\u003ch3\u003eإعدادات مجموعة المطورين Jetson Orin Nano Super\u003c\/h3\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 122.983px;\"\u003e\n\n\u003ctd style=\"text-align: center; width: 27.4957%; height: 122.983px;\" height=\"123\" width=\"262\" class=\"et5\"\u003e \u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 35.3778%; height: 122.983px;\" width=\"351\" class=\"et6\"\u003e\u003cstrong\u003eمجموعة المطورين NVIDIA Jetson Orin Nano (الأصلية)\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 36.4776%; height: 122.983px;\" width=\"320\" class=\"et6\"\u003e\u003cstrong\u003eمجموعة المطورين NVIDIA Jetson Orin Nano Super\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 273.949px;\"\u003e\n\n\u003ctd style=\"text-align: center; width: 27.4957%; height: 273.949px;\" height=\"274\" width=\"262\" class=\"et6\"\u003e\n\n\u003cbr\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\n\n\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 35.3778%; height: 273.949px;\" width=\"351\" class=\"et5\"\u003e\n\n\u003cbr\u003eمعمارية NVIDIA Ampere\u003cbr\u003e1,024 نواة CUDA\u003cbr\u003e32 نواة تينسور\u003cbr\u003e635 ميجاهرتز\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 36.4776%; height: 273.949px;\" width=\"320\" class=\"et5\"\u003e\n\n\u003cbr\u003eمعمارية NVIDIA Ampere\u003cbr\u003e1,024 نواة CUDA\u003cbr\u003e32 نواة تينسور\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"font1\"\u003e1,020 ميجاهرتز\u003c\/span\u003e\u003c\/strong\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 180px;\"\u003e\n\n\u003ctd style=\"text-align: center; width: 27.4957%; height: 180px;\" height=\"180\" width=\"262\" class=\"et6\"\u003e\n\n\u003cbr\u003e\u003cstrong\u003eأداء الذكاء الاصطناعي\u003c\/strong\u003e\n\n\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 35.3778%; height: 180px;\" width=\"351\" class=\"et5\"\u003e\n\n\u003cbr\u003e40 TOPS بتقنية INT8 (متفرق)\u003cbr\u003e20 TOPS بتقنية INT8 (كثيف)\u003cbr\u003e10 TFLOPs بتقنية FP16\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 36.4776%; height: 180px;\" width=\"320\" class=\"et5\"\u003e\n\n\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"font1\"\u003e67 TOPS (متفرق)\u003cbr\u003e33 TOPS (كثيف)\u003cbr\u003e17 TFLOPs بتقنية FP16\u003c\/span\u003e\u003c\/strong\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 150.966px;\"\u003e\n\n\u003ctd style=\"text-align: center; width: 27.4957%; height: 150.966px;\" height=\"151\" width=\"262\" class=\"et6\"\u003e\n\n\u003cbr\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\n\n\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 35.3778%; height: 150.966px;\" width=\"351\" class=\"et5\"\u003eمعالج Arm Cortex-\u003cbr\u003eA78AE v8.2 64-بت\u003cbr\u003e1.5 جيجاهرتز\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 36.4776%; height: 150.966px;\" width=\"320\" class=\"et5\"\u003eمعالج Arm Cortex-\u003cbr\u003eA78AE v8.2 64-بت\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"font1\"\u003e1.7 جيجاهرتز\u003c\/span\u003e\u003c\/strong\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 125px;\"\u003e\n\n\u003ctd style=\"text-align: center; width: 27.4957%; height: 125px;\" height=\"125\" width=\"262\" class=\"et6\"\u003e\n\n\u003cbr\u003e\u003cstrong\u003eالذاكرة\u003c\/strong\u003e\n\n\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 35.3778%; height: 125px;\" width=\"351\" class=\"et5\"\u003e8 جيجابايت LPDDR5 بـ 128-بت\u003cbr\u003e68 جيجابايت\/ثانية\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 36.4776%; height: 125px;\" width=\"320\" class=\"et5\"\u003e8 جيجابايت LPDDR5 بـ 128-بت\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"font1\"\u003e102 جيجابايت\/ثانية\u003c\/span\u003e\u003c\/strong\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 47.9972px;\"\u003e\n\n\u003ctd style=\"text-align: center; width: 27.4957%; height: 47.9972px;\" height=\"48\" width=\"262\" class=\"et6\"\u003e\u003cstrong\u003eطاقة الوحدة\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 35.3778%; height: 47.9972px;\" width=\"351\" class=\"et5\"\u003e7 واط | 15 واط\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 36.4776%; height: 47.9972px;\" width=\"320\" class=\"et5\"\u003e7 واط | 15 واط | \u003cstrong\u003e\u003cspan class=\"font1\"\u003e25 واط\u003c\/span\u003e\u003c\/strong\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\n\n\n\u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":44900111188285,"sku":"SBC1047","price":54999.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/jetson-orin-nano-super-developer-kit-og.jpg?v=1737536404"},{"product_id":"orin-nano-som","title":"وحدة NVIDIA Jetson Orin Nano","description":"\u003cmeta charset=\"UTF-8\"\u003e\n\u003cdiv class=\"pdT\" style=\"text-align: center;\"\u003e\n\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eJetson Orin Nano\u003c\/h2\u003e\n\n\u003cp class=\"richDesc\" style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color: #c20000;\"\u003eحاسوب ذكاء اصطناعي متطور للآلات ذاتية التشغيل الأصغر حجمًا والأقل استهلاكًا للطاقة\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Orin-Nano\/Jetson-Orin-Nano-details-1.jpg\" style=\"margin-bottom: 16px; float: none;\"\u003e\n\u003cdiv class=\"alignl bgBlack pdTRBL\" style=\"text-align: left;\"\u003eيتوفر N-VIDIA® Jetson Orin™ Nano في إصدارات 4 جيجابايت و 8 جيجابايت، ويقدم أداءً يصل إلى 20\/40 TOPS، وهو ما يعادل 40 إلى 80 ضعف أداء الجيل السابق لخطوط معالجة استدلال الذكاء الاصطناعي المتعددة والمتزامنة. كما أنه بفضل دعم الواجهات عالية السرعة لأجهزة استشعار متعددة، يمثل حلاً مثاليًا لعصر جديد من الروبوتات.\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\n\u003ch2 class=\"richTitle\"\u003eميزات المنتج\u003c\/h2\u003e\n\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Orin-Nano\/Jetson-Orin-Nano-details-3.jpg\" style=\"margin-bottom: 16px; float: none;\"\u003e\n\u003cdiv class=\"bgGrey alignl mgnTB\"\u003e\n\n\u003cp style=\"text-align: left;\"\u003eيوفر إصدار 8 جيجابايت من سلسلة Jetson Orin Nano أداء ذكاء اصطناعي يصل إلى 40 TOPS في عامل شكل صغير ومدمج، مع خيارات طاقة تتراوح بين 7 واط و15 واط، وأداء يصل إلى 80 ضعف أداء N-VIDIA Jetson Nano، مما يضع معيارًا جديدًا للذكاء الاصطناعي الموجه للحافة (Edge AI) للمستوى المبتدئ.\u003c\/p\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cdiv\u003e\n\n\u003cdiv class=\"richTitle hilitColor\"\u003eمواصفات Jetson Orin Nano\u003c\/div\u003e\n\n\u003ctable class=\"tabSty-2 subBlock alignc mgnTB\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eالوحدة\u003c\/th\u003e\n\n\u003ctd colspan=\"2\"\u003e\u003cstrong class=\"hilitColor\"\u003e4 جيجابايت\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd colspan=\"3\"\u003e\u003cstrong class=\"hilitColor\"\u003e8 جيجابايت\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eالإصدار\u003c\/th\u003e\n\n\u003ctd colspan=\"2\"\u003eوحدة 4 جيجابايت Jetson Orin Nano\u003c\/td\u003e\n\n\u003ctd colspan=\"2\"\u003eوحدة 8 جيجابايت Jetson Orin Nano\u003c\/td\u003e\n\n\u003ctd\u003e\u003ca href=\"https:\/\/thinkrobotics.com\/products\/nvidia%C2%AE-jetson-orin%E2%84%A2-nano-developer-kit\" target=\"_blank\"\u003eالمجموعة الرسمية\u003c\/a\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eأداء الذكاء الاصطناعي\u003c\/th\u003e\n\n\u003ctd colspan=\"2\"\u003e20TOPS\u003c\/td\u003e\n\n\u003ctd colspan=\"3\"\u003e40TOPS\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eوحدة معالجة الرسومات (GPU)\u003c\/th\u003e\n\n\u003ctd colspan=\"2\"\u003eوحدة معالجة رسومات بمعمارية N-VIDIA Ampere بـ 512 نواة مع 16 نواة Tensor\u003c\/td\u003e\n\n\u003ctd colspan=\"3\"\u003eوحدة معالجة رسومات بمعمارية N-VIDIA Ampere بـ 1024 نواة مع 32 نواة Tensor\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eتردد وحدة معالجة الرسومات\u003c\/th\u003e\n\n\u003ctd colspan=\"5\"\u003e625 ميجاهرتز (كحد أقصى)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eوحدة المعالجة المركزية (CPU)\u003c\/th\u003e\n\n\u003ctd colspan=\"5\"\u003eوحدة معالجة مركزية Arm® Cortex®-A78AE v8.2 64-بت بـ 6 أنوية، ذاكرة تخزين مؤقت L2 سعة 1.5 ميجابايت + ذاكرة L3 سعة 4 ميجابايت\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eتردد وحدة المعالجة المركزية\u003c\/th\u003e\n\n\u003ctd colspan=\"5\"\u003e1.5 جيجاهرتز (كحد أقصى)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eالذاكرة\u003c\/th\u003e\n\n\u003ctd colspan=\"2\"\u003e4 جيجابايت LPDDR5 64-بت، 32 جيجابايت\/ثانية\u003c\/td\u003e\n\n\u003ctd colspan=\"3\"\u003e8 جيجابايت LPDDR5 128-بت، 68 جيجابايت\/ثانية\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eالتخزين\u003c\/th\u003e\n\n\u003ctd\u003eيدعم NVMe خارجي\u003c\/td\u003e\n\n\u003ctd\u003eمحرك أقراص NVMe Solid State سعة 128 جيجابايت\u003c\/td\u003e\n\n\u003ctd\u003eيدعم NVMe خارجي\u003c\/td\u003e\n\n\u003ctd\u003eمحرك أقراص NVMe Solid State سعة 128 جيجابايت\u003c\/td\u003e\n\n\u003ctd\u003eفتحة بطاقة TF و NVMe خارجي عبر M.2 Key M\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eالطاقة\u003c\/th\u003e\n\n\u003ctd colspan=\"2\"\u003e7 واط ~ 10 واط\u003c\/td\u003e\n\n\u003ctd colspan=\"3\"\u003e7 واط ~ 15 واط\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003ePCIE*\u003c\/th\u003e\n\n\u003ctd\u003e1 x4 + 3 x1 (PCIe 3.0, Root Port \u0026amp; Endpoint)\u003c\/td\u003e\n\n\u003ctd\u003eM.2 Key E\/\u003cbr\u003eM.2 Key M (PCIe Gen3 x4)\/ M.2 Key M (PCIe Gen3 x2)\u003c\/td\u003e\n\n\u003ctd\u003e1 x4 + 3 x1 (PCIe 4.0, Root Port \u0026amp; Endpoint)\u003c\/td\u003e\n\n\u003ctd colspan=\"2\"\u003eM.2 Key E\/\u003cbr\u003eM.2 Key M (PCIe Gen3 x4)\/ M.2 Key M (PCIe Gen3 x2)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eUSB*\u003c\/th\u003e\n\n\u003ctd\u003e3x USB 3.2 2.0 (10 جيجابت في الثانية)\u003cbr\u003e3x USB 2.0\u003c\/td\u003e\n\n\u003ctd\u003eUSB Type-A: 4x USB 3.2 Gen2\/ USB Type-C (UFP)\u003c\/td\u003e\n\n\u003ctd\u003e3x USB 3.2 2.0 (10 جيجابت في الثانية)\u003cbr\u003e3x USB 2.0\u003c\/td\u003e\n\n\u003ctd colspan=\"2\"\u003eUSB Type-A: 4x USB 3.2 Gen2\/\u003cbr\u003eUSB Type-C (UFP)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eكاميرا CSI\u003c\/th\u003e\n\n\u003ctd\u003eتصل إلى 4 كاميرات (8 عبر قنوات افتراضية**)\/\u003cbr\u003e8 مسارات MIPI CSI-2\/ D-PHY 1.2 (تصل إلى 20 جيجابت في الثانية)\u003c\/td\u003e\n\n\u003ctd\u003e2x موصل كاميرا MIPI CSI-2\u003c\/td\u003e\n\n\u003ctd\u003eتصل إلى 4 كاميرات (8 عبر قنوات افتراضية**)\/\u003cbr\u003e8 مسارات MIPI CSI-2\/ D-PHY 1.2 (تصل إلى 20 جيجابت في الثانية)\u003c\/td\u003e\n\n\u003ctd colspan=\"2\"\u003e2x موصل كاميرا MIPI CSI-2\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eترميز الفيديو\u003c\/th\u003e\n\n\u003ctd colspan=\"5\"\u003eدعم 1080p30 بواسطة 1-2 نواة من وحدة المعالجة المركزية\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eفك ترميز الفيديو\u003c\/th\u003e\n\n\u003ctd colspan=\"5\"\u003e1x 4K60 (H.265)\u003cbr\u003e2x 4K30 (H.265)\u003cbr\u003e5x 1080p60 (H.265)\u003cbr\u003e11x 1080p30 (H.265)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eالعرض\u003c\/th\u003e\n\n\u003ctd\u003e1x 8K30 متعدد الأنماط DP 1.4a (+MST)\/\u003cbr\u003eeDP 1.4a\/HDMI 2.1\u003c\/td\u003e\n\n\u003ctd\u003e1x موصل DisplayPort 1.2 (+MST)\u003c\/td\u003e\n\n\u003ctd\u003e1x 8K30 متعدد الأنماط DP 1.4a (+MST)\/\u003cbr\u003eeDP 1.4a\/HDMI 2.1\u003c\/td\u003e\n\n\u003ctd colspan=\"2\"\u003e1x موصل DisplayPort 1.2 (+MST)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eأخرى\u003c\/th\u003e\n\n\u003ctd\u003e3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC \u0026amp; DSPK, PWM, GPIO\u003c\/td\u003e\n\n\u003ctd\u003eرأس توسيع 40-دبوس (UART, SPI, I2S, I2C, GPIO)، رأس زر 12-دبوس، رأس مروحة 4-دبوس، فتحة بطاقة TF، مقبس طاقة DC\u003c\/td\u003e\n\n\u003ctd\u003e3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC \u0026amp; DSPK, PWM, GPIO\u003c\/td\u003e\n\n\u003ctd colspan=\"2\"\u003eرأس توسيع 40-دبوس (UART, SPI, I2S, I2C, GPIO)، رأس زر 12-دبوس، رأس مروحة 4-دبوس، فتحة بطاقة TF، مقبس طاقة DC\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eالشبكات\u003c\/th\u003e\n\n\u003ctd\u003e1x GbE\u003c\/td\u003e\n\n\u003ctd\u003e1x موصل GbE\u003c\/td\u003e\n\n\u003ctd\u003e1x GbE\u003c\/td\u003e\n\n\u003ctd colspan=\"2\"\u003e1x موصل GbE\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eالأبعاد\u003c\/th\u003e\n\n\u003ctd\u003e69.6 مم × 45 مم\u003cbr\u003eموصل 260-دبوس SO-DIMM\u003c\/td\u003e\n\n\u003ctd\u003e103 × 90.5 × 34 مم\u003c\/td\u003e\n\n\u003ctd\u003e69.6 مم × 45 مم\u003cbr\u003eموصل 260-دبوس SO-DIMM\u003c\/td\u003e\n\n\u003ctd\u003e103 × 90.5 × 34 مم\u003c\/td\u003e\n\n\u003ctd\u003e100 مم × 79 مم × 21 مم\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"alignl\" colspan=\"6\"\u003e* تشترك منافذ USB 3.2 و MGBE و PCIe في مسارات UPHY. راجع دليل تصميم المنتج لمعرفة تكوينات UPHY المدعومة.\u003cbr\u003e** القنوات الافتراضية لـ Jetson Orin Nano قابلة للتغيير\u003cbr\u003eراجع قسم ميزات البرامج في أحدث دليل لمطوري NVIDIA Jetson Linux للحصول على قائمة بالميزات المدعومة.\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\n\n\n\u003c\/table\u003e\n\n\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\n\u003ctable style=\"width: 90%; margin: auto; background-color: black;\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: middle;\" colspan=\"6\"\u003e\n\n\u003ch2 style=\"text-align: center; color: white;\"\u003e \u003c\/h2\u003e\n\n\u003ch2 style=\"text-align: center; color: white;\"\u003eبرمجيات ونماذج التطبيقات الاحترافية\u003c\/h2\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: middle;\" colspan=\"3\"\u003e\n\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Orin-NX\/Jetson-Orin-NX-details-5-1.jpg\"\u003e\n\u003cp style=\"color: white;\"\u003e\u003cstrong\u003eبرمجيات N-VIDIA\u003c\/strong\u003e\u003cbr\u003eجميع وحدات ومجموعات مطوري N-VIDIA Jetson مدعومة بنفس حزمة برامج N-VIDIA Jetson، مما يتيح لك التطوير مرة واحدة والنشر في كل مكان. صُممت برمجيات Jetson لتوفير تسريع شامل لتطبيقات الذكاء الاصطناعي وتسريع الوصول إلى السوق. وهذا يجلب تقنيات N-VIDIA القوية التي تدعم مراكز البيانات ونشر الحوسبة السحابية إلى الحافة.\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: middle;\" colspan=\"3\"\u003e\n\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Orin-NX\/Jetson-Orin-NX-details-5-2.jpg\"\u003e\n\u003cp style=\"color: white;\"\u003e\u003cstrong\u003eنماذج مدربة مسبقًا\u003c\/strong\u003e\u003cbr\u003eلدى العديد من تطبيقات الذكاء الاصطناعي احتياجات مشتركة: التصنيف، واكتشاف الكائنات، والترجمة اللغوية، وتحويل النص إلى كلام، ومحركات التوصية، وتحليل المشاعر، والمزيد. النماذج المدربة مسبقًا من كتالوج NGC™ محسّنة من حيث الأداء وجاهزة للضبط الدقيق باستخدام مجموعة أدوات N-VIDIA TAO ومجموعات بيانات العميل، مما يقلل الوقت والتكلفة لتطوير برمجيات الذكاء الاصطناعي للإنتاج.\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: middle; width: 120px;\" colspan=\"6\"\u003e\n\n\u003ch2 style=\"color: white;\"\u003e \u003c\/h2\u003e\n\n\u003ch2 style=\"color: white;\"\u003eمنصات N-VIDIA للروبوتات، والذكاء الاصطناعي الصوتي، والمدن الذكية\u003c\/h2\u003e\n\n\u003cp class=\"richDesc\"\u003e\u003cspan style=\"color: #ffffff;\"\u003eمنصات برمجيات N-VIDIA، بما في ذلك Isaac للروبوتات، و Riva للذكاء الاصطناعي الصوتي، و Metropolis لتحليل الفيديو، متاحة لتسريع التطبيقات الخاصة بكل قطاع\u003c\/span\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: middle; width: 120px;\" colspan=\"2\"\u003e\n\n\u003cspan style=\"color: #ffffff;\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Orin-NX\/Jetson-Orin-NX-details-7-1.jpg\"\u003e\u003c\/span\u003e\n\u003cp style=\"color: white;\"\u003e\u003cspan style=\"color: #ffffff;\"\u003e\u003cstrong\u003eN-VIDIA Isaac\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003e\u003cspan style=\"color: #ffffff;\"\u003eتعمل الروبوتات على تحسين الكفاءة وجودة الحياة في صناعات مثل التصنيع والخدمات اللوجستية والرعاية الصحية والخدمات. تسرع N-VIDIA Isaac™ هذه العملية من خلال تعزيز تطوير الروبوتات والمحاكاة والنشر.\u003c\/span\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: middle; width: 120px;\" colspan=\"2\"\u003e\n\n\u003cspan style=\"color: #ffffff;\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Orin-NX\/Jetson-Orin-NX-details-7-2.jpg\"\u003e\u003c\/span\u003e\n\u003cp style=\"color: white;\"\u003e\u003cspan style=\"color: #ffffff;\"\u003e\u003cstrong\u003eN-VIDIA Riva\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003e\u003cspan style=\"color: #ffffff;\"\u003eN-VIDIA Riva هي مجموعة تطوير برمجيات (SDK) مسرعة بالكامل لبناء تطبيقات الذكاء الاصطناعي التخاطبي متعددة الوسائط باستخدام خط معالجة التعلم العميق الشامل، وهي مناسبة للمهارات المحسّنة في مهام الكلام والرؤية ومعالجة اللغات الطبيعية (NLP).\u003c\/span\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: middle; width: 120px;\" colspan=\"2\"\u003e\n\n\u003cspan style=\"color: #ffffff;\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Orin-NX\/Jetson-Orin-NX-details-7-3.jpg\"\u003e\u003c\/span\u003e\n\u003cp style=\"color: white;\"\u003e\u003cspan style=\"color: #ffffff;\"\u003e\u003cstrong\u003eN-VIDIA Metropolis\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003e\u003cspan style=\"color: #ffffff;\"\u003eتتضمن N-VIDIA Metropolis إطار عمل للتطبيقات، ومجموعة من أدوات المطورين، ونظامًا بيئيًا للشركاء. إنها تجمع بين البيانات المرئية والذكاء الاصطناعي لتحسين الكفاءة التشغيلية والسلامة عبر مجموعة واسعة من الصناعات.\u003c\/span\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\n\n\n\u003c\/table\u003e\n\n\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"4GB","offer_id":45187884286269,"sku":"SBC1052-4GB","price":45649.99,"currency_code":"INR","in_stock":true},{"title":"8GB","offer_id":45187884319037,"sku":"SBC1052-8GB","price":51399.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/jetson_orin_nano.png?v=1684145605"},{"product_id":"nvidia-jetson-orin-nx-module","title":"وحدة NVIDIA Jetson Orin NX","description":"\u003cmeta charset=\"UTF-8\"\u003e\n\u003cdiv class=\"rt u-gutter-marginBottom ng-star-inserted\"\u003e\n\n\u003ch2\u003eNVIDIA® Jetson Orin™ NX 16GB\u003c\/h2\u003e\n\n\u003cp\u003eتوفر وحدة NVIDIA Jetson Orin NX 16GB أداء ذكاء اصطناعي يصل إلى 100 تريليون عملية في الثانية (TOPS) في أصغر عامل شكل من فئة Jetson، مع طاقة قابلة للتهيئة بين 10 وات و25 وات. يمنحك هذا أداءً أقوى بـ 3 أضعاف من NVIDIA® Jetson AGX Xavier™ وأقوى بـ 5 أضعاف من NVIDIA® Jetson Xavier™ NX، مما يجعله مثالياً للمنتجات ذات عامل الشكل الصغير واستهلاك الطاقة المنخفض مثل الطائرات بدون طيار والأجهزة المحمولة.\u003c\/p\u003e\n\n\u003cp\u003eيدعم هذا النظام على وحدة (System-on-Module) مسارات تطبيقات ذكاء اصطناعي متعددة ومتزامنة مع بنية وحدة معالجة الرسومات NVIDIA Ampere، ومسرعات التعلم العميق والرؤية من الجيل التالي، ومدخلات\/مخرجات عالية السرعة، ونطاق ترددي سريع للذاكرة. الآن يمكنك تطوير حلول باستخدام أكبر نماذج الذكاء الاصطناعي وأكثرها تعقيداً لحل مشكلات مثل فهم اللغات الطبيعية، والإدراك ثلاثي الأبعاد، ودمج المستشعرات المتعددة.\u003c\/p\u003e\n\n\u003cp\u003eيعمل Jetson بمجموعة برامج الذكاء الاصطناعي من NVIDIA، وتتوفر أطر عمل خاصة بحالات الاستخدام، بما في ذلك Isaac™ للروبوتات، وDeepStream للذكاء الاصطناعي البصري، وRiva للذكاء الاصطناعي التخاطبي. يمكنك توفير وقت كبير باستخدام NVIDIA Omniverse Replicator لإنشاء بيانات اصطناعية (SDG)، واستخدام مجموعة أدوات NVIDIA TAO لضبط نماذج الذكاء الاصطناعي المدربة مسبقاً من كتالوج NGC™.\u003c\/p\u003e\n\n\u003cp\u003eيقدم شركاء نظام Jetson برامج إضافية للذكاء الاصطناعي والنظام، وأدوات للمطورين، وتطويراً برمجياً مخصصاً. كما يمكنهم المساعدة في الكاميرات والمستشعرات الأخرى، بالإضافة إلى اللوحات الحاملة وخدمات التصميم لمنتجك.\u003c\/p\u003e\n\n\u003cp\u003eتعتبر وحدات Jetson Orin لا مثيل لها في الأداء والكفاءة للروبوتات والآلات المستقلة الأخرى، وتمنحك المرونة لإنشاء الجيل التالي من حلول الذكاء الاصطناعي باستخدام أحدث تقنيات وحدات معالجة الرسومات من NVIDIA. جنباً إلى جنب مع مجموعة برامج الذكاء الاصطناعي من NVIDIA المعيارية عالمياً ونظام بيئي من الخدمات والمنتجات، أصبح طريقك إلى السوق أسرع من أي وقت مضى.\u003c\/p\u003e\n\n\u003cbr\u003e\n\n\u003c\/div\u003e\n\u003cdiv class=\"PartSpecifications ng-star-inserted\" id=\"Pdp-specifications\"\u003e\n\n\u003ch2 class=\"PartSpecifications-heading ng-star-inserted\"\u003eالمواصفات الفنية للمنتج\u003c\/h2\u003e\n\n\u003ctable class=\"PartSpecifications-list SimpleAccordion is-active\" role=\"presentation\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"ECCN (US). Tooltip: Export Control Classification Number\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Export Control Classification Number\"\u003e\u003cspan aria-hidden=\"true\"\u003eECCN (الولايات المتحدة)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e5A992c.\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"HTS. Tooltip: Harmonized Tariff Schedule code\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Harmonized Tariff Schedule code\"\u003e\u003cspan aria-hidden=\"true\"\u003eHTS\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e8473.30.11.80\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan class=\"focusClass ng-star-inserted\" tabindex=\"0\"\u003eالسيارات\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eغير معروف\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan class=\"focusClass ng-star-inserted\" tabindex=\"0\"\u003ePPAP\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eغير معروف\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Processor Type. Tooltip: Processor Type describes the type of manufacture that the processor belongs to.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Processor Type describes the type of manufacture that the processor belongs to.\"\u003e\u003cspan aria-hidden=\"true\"\u003eنوع المعالج\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eARM\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Processor Family. Tooltip: Processor Family describes the group of processors that the processor belongs to, which has a specific common features and applications.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Processor Family describes the group of processors that the processor belongs to, which has a specific common features and applications.\"\u003e\u003cspan aria-hidden=\"true\"\u003eعائلة المعالج\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eCortex-A78AE v8.2\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Processor Number. Tooltip: Processor Number describes the processor part number of the processor.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Processor Number describes the processor part number of the processor.\"\u003e\u003cspan aria-hidden=\"true\"\u003eرقم المعالج\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eARM Cortex-A78AE v8.2\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Processor Cores. Tooltip: Processor Cores describes the cores category that the processor belongs to.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Processor Cores describes the cores category that the processor belongs to.\"\u003e\u003cspan aria-hidden=\"true\"\u003eأنوية المعالج\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e8 نواة\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Form Factor. Tooltip: Form Factor describes the size, configuration, or physical arrangement of a computer hardware object.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Form Factor describes the size, configuration, or physical arrangement of a computer hardware object.\"\u003e\u003cspan aria-hidden=\"true\"\u003eعامل الشكل\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eصغير\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"JTAG Support. Tooltip: JTAG Support describes the IEEE standard for boundary scan technology. A   standard specifying how to control and monitor the pins of   compliant devices on a printed circuit board.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"JTAG Support describes the IEEE standard for boundary scan technology. A   standard specifying how to control and monitor the pins of   compliant devices on a printed circuit board.\"\u003e\u003cspan aria-hidden=\"true\"\u003eدعم JTAG\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eلا\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Number of System Memory. Tooltip: Number of System Memory describes the number of memories that the system supports it.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Number of System Memory describes the number of memories that the system supports it.\"\u003e\u003cspan aria-hidden=\"true\"\u003eعدد وحدات ذاكرة النظام\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e1\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"RAM Type. Tooltip: System Memory Type describes a form of computer data storage. A random-access device allows stored data to be accessed in very nearly the same amount of time for any storage location, so data can be accessed quickly in any random order.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"System Memory Type describes a form of computer data storage. A random-access device allows stored data to be accessed in very nearly the same amount of time for any storage location, so data can be accessed quickly in any random order.\"\u003e\u003cspan aria-hidden=\"true\"\u003eنوع ذاكرة الوصول العشوائي (RAM)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eLPDDR5\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"System Memory Maximum Size (B). Tooltip: System Memory Maximum Size describes the maximum size of the memory that the system supports it.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"System Memory Maximum Size describes the maximum size of the memory that the system supports it.\"\u003e\u003cspan aria-hidden=\"true\"\u003eالحد الأقصى لحجم ذاكرة النظام\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e16 جيجابايت\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"UART. Tooltip: UART is an interface that converts parallel bytes from the CPU into serial bits for transmission, and vice versa.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"UART is an interface that converts parallel bytes from the CPU into serial bits for transmission, and vice versa.\"\u003e\u003cspan aria-hidden=\"true\"\u003eUART\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e3\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"USART. Tooltip: USART is a universal synchronous\/asynchronous receiver\/transmitter is a UART that can also communicate synchronously.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"USART is a universal synchronous\/asynchronous receiver\/transmitter is a UART that can also communicate synchronously.\"\u003e\u003cspan aria-hidden=\"true\"\u003eUSART\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"SPI. Tooltip: SPI is a full-duplex synchronous serial interface for connecting low-\/medium-bandwidth external devices using four wires.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"SPI is a full-duplex synchronous serial interface for connecting low-\/medium-bandwidth external devices using four wires.\"\u003e\u003cspan aria-hidden=\"true\"\u003eSPI\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e2\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"I2C. Tooltip: I2C is a bi-directional two-wire serial bus that provides a communication link between integrated circuits (ICs).\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"I2C is a bi-directional two-wire serial bus that provides a communication link between integrated circuits (ICs).\"\u003e\u003cspan aria-hidden=\"true\"\u003eI2C\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e4\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"CAN. Tooltip: CAN describes the Controller Area Network (CAN) protocol is a serial communication protocol originally developed by Robert Bosch for use in serial communication networks in vehicles.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"CAN describes the Controller Area Network (CAN) protocol is a serial communication protocol originally developed by Robert Bosch for use in serial communication networks in vehicles.\"\u003e\u003cspan aria-hidden=\"true\"\u003eCAN\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e1\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"USB. Tooltip: USB is Universal Serial Port which is a plug-and-play interface between a computer and add-on devices, such as media players, keyboards, telephones, digital cameras, scanners, flash drives, joysticks and printers.It supports hot-swapping, which means that a new device can be added to your computer without having to add an adapter card or even having to turn the computer off.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"USB is Universal Serial Port which is a plug-and-play interface between a computer and add-on devices, such as media players, keyboards, telephones, digital cameras, scanners, flash drives, joysticks and printers.It supports hot-swapping, which means that a new device can be added to your computer without having to add an adapter card or even having to turn the computer off.\"\u003e\u003cspan aria-hidden=\"true\"\u003eUSB\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e6\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"VGA. Tooltip: VGA is a 15-pin D-subminiature set of male and female electrical connectors that relays data from a computer to an output device.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"VGA is a 15-pin D-subminiature set of male and female electrical connectors that relays data from a computer to an output device.\"\u003e\u003cspan aria-hidden=\"true\"\u003eVGA\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"SATA. Tooltip: SATA is a standard hardware interface for connecting hard drives and CD\/DVD drives to a computer. SATA is the serial version of the earlier Parallel ATA (PATA) interface.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"SATA is a standard hardware interface for connecting hard drives and CD\/DVD drives to a computer. SATA is the serial version of the earlier Parallel ATA (PATA) interface.\"\u003e\u003cspan aria-hidden=\"true\"\u003eSATA\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"PATA. Tooltip: PATA is the original IDE hard drive technology that uses a parallel data channel from the motherboard to the disk drives.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"PATA is the original IDE hard drive technology that uses a parallel data channel from the motherboard to the disk drives.\"\u003e\u003cspan aria-hidden=\"true\"\u003ePATA\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"GPIO. Tooltip: GPIO is a generic interface whose behavior (including whether it is an input or output pin) can be controlled (programmed) by the user at run time.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"GPIO is a generic interface whose behavior (including whether it is an input or output pin) can be controlled (programmed) by the user at run time.\"\u003e\u003cspan aria-hidden=\"true\"\u003eGPIO\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e15\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Audio Interfaces. Tooltip: Audio Interfaces are interfaces take all the various audio inputs and convert them into digital audio data.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Audio Interfaces are interfaces take all the various audio inputs and convert them into digital audio data.\"\u003e\u003cspan aria-hidden=\"true\"\u003eواجهات الصوت\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e1\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Video In. Tooltip: Video In is a graphics port which enables video cards to have an input analog video transfer through a mini-DIN connector.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Video In is a graphics port which enables video cards to have an input analog video transfer through a mini-DIN connector.\"\u003e\u003cspan aria-hidden=\"true\"\u003eمدخل الفيديو\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eنعم\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"RS485. Tooltip: RS485 is an Electronics Industry Alliance (EIA) standard for multipoint communications. It supports several types of connectors, including DB-9 and DB-37. RS-485 is similar to RS-422 but can support more nodes per line because it uses lower-impedance drivers and receivers.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"RS485 is an Electronics Industry Alliance (EIA) standard for multipoint communications. It supports several types of connectors, including DB-9 and DB-37. RS-485 is similar to RS-422 but can support more nodes per line because it uses lower-impedance drivers and receivers.\"\u003e\u003cspan aria-hidden=\"true\"\u003eRS485\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"RS232. Tooltip: RS232 is a TIA\/EIA standard for serial transmission between computers and peripheral devices (modem, mouse, etc.). Using a 25-pin DB-25 or 9-pin DB-9 connector, its normal cable limitation of 50 feet can be extended to several hundred feet with high-quality cable.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"RS232 is a TIA\/EIA standard for serial transmission between computers and peripheral devices (modem, mouse, etc.). Using a 25-pin DB-25 or 9-pin DB-9 connector, its normal cable limitation of 50 feet can be extended to several hundred feet with high-quality cable.\"\u003e\u003cspan aria-hidden=\"true\"\u003eRS232\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"RS422. Tooltip: RS422 is a TIA\/EIA standard for serial interfaces that extends distances and speeds beyond RS-232. RS-422 is a balanced system requiring more wire pairs than its RS-423 counterpart and is intended for use in multipoint lines. Both use either a 37-pin connector defined by RS-449 or a 25-pin connector defined by RS-530.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"RS422 is a TIA\/EIA standard for serial interfaces that extends distances and speeds beyond RS-232. RS-422 is a balanced system requiring more wire pairs than its RS-423 counterpart and is intended for use in multipoint lines. Both use either a 37-pin connector defined by RS-449 or a 25-pin connector defined by RS-530.\"\u003e\u003cspan aria-hidden=\"true\"\u003eRS422\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"PCI. Tooltip: PCI is an interconnection system between a microprocessor and attached devices in which expansion slots are spaced closely for high speed operation.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"PCI is an interconnection system between a microprocessor and attached devices in which expansion slots are spaced closely for high speed operation.\"\u003e\u003cspan aria-hidden=\"true\"\u003ePCI\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"AGP. تلميح: AGP هو مواصفة واجهة تتيح عرض الرسومات ثلاثية الأبعاد بسرعة على أجهزة الكمبيوتر الشخصية العادية. صُممت AGP لنقل الصور ثلاثية الأبعاد بسرعة وسلاسة أكبر بكثير مما هو ممكن اليوم على أي كمبيوتر آخر غير محطة عمل الرسومات باهظة الثمن.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"AGP هو مواصفة واجهة تتيح عرض الرسومات ثلاثية الأبعاد بسرعة على أجهزة الكمبيوتر الشخصية العادية. صُممت AGP لنقل الصور ثلاثية الأبعاد بسرعة وسلاسة أكبر بكثير مما هو ممكن اليوم على أي كمبيوتر آخر غير محطة عمل الرسومات باهظة الثمن.\"\u003e\u003cspan aria-hidden=\"true\"\u003eAGP\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"واجهة العرض. تلميح: تصف واجهة العرض الحد الذي يلتقي عنده نظامان مستقلان ويتفاعلان أو يتواصلان مع بعضهما البعض.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"تصف واجهة العرض الحد الذي يلتقي عنده نظامان مستقلان ويتفاعلان أو يتواصلان مع بعضهما البعض.\"\u003e\u003cspan aria-hidden=\"true\"\u003eواجهة العرض\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eDP|eDP|HDMI\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"أنظمة التشغيل. تلميح: تصف أنظمة التشغيل برنامجًا أو مجموعة من البرامج التي تتوسط الوصول بين الأجهزة المادية (مثل لوحة المفاتيح، الماوس، الشاشة، محرك الأقراص، أو اتصال الشبكة) وبرامج التطبيقات (مثل معالج النصوص، متصفح الويب، أو عميل البريد الإلكتروني).\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"تصف أنظمة التشغيل برنامجًا أو مجموعة من البرامج التي تتوسط الوصول بين الأجهزة المادية (مثل لوحة المفاتيح، الماوس، الشاشة، محرك الأقراص، أو اتصال الشبكة) وبرامج التطبيقات (مثل معالج النصوص، متصفح الويب، أو عميل البريد الإلكتروني).\"\u003e\u003cspan aria-hidden=\"true\"\u003eأنظمة التشغيل\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eLinux\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Linux. تلميح: يصف Linux ما إذا كان الجهاز يدعم نظام تشغيل Linux أم لا وما هي إصداراته المدعومة.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"يصف Linux ما إذا كان الجهاز يدعم نظام تشغيل Linux أم لا وما هي إصداراته المدعومة.\"\u003e\u003cspan aria-hidden=\"true\"\u003eLinux\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eLinux\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"التطبيق الطبي. تلميح: يصف التطبيق الطبي ما إذا كان يمكن استخدام الجهاز في التطبيقات الطبية أم لا.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"يصف التطبيق الطبي ما إذا كان يمكن استخدام الجهاز في التطبيقات الطبية أم لا.\"\u003e\u003cspan aria-hidden=\"true\"\u003eالتطبيق الطبي\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eلا\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"الحد الأدنى لجهد إمداد التشغيل (فولت). تلميح: يصف الحد الأدنى لجهد إمداد التشغيل أقل جهد إمداد يتم تحديد عمل الجهاز عنده وفقًا لمواصفات الجهاز المعمول بها.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"يصف الحد الأدنى لجهد إمداد التشغيل أقل جهد إمداد يتم تحديد عمل الجهاز عنده وفقًا لمواصفات الجهاز المعمول بها.\"\u003e\u003cspan aria-hidden=\"true\"\u003eالحد الأدنى لجهد إمداد التشغيل (فولت)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e5\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"الحد الأقصى لجهد إمداد التشغيل (فولت). تلميح: يصف الحد الأقصى لجهد إمداد التشغيل أعلى جهد إمداد يتم تحديد عمل الجهاز عنده وفقًا لمواصفات الجهاز المعمول بها.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"يصف الحد الأقصى لجهد إمداد التشغيل أعلى جهد إمداد يتم تحديد عمل الجهاز عنده وفقًا لمواصفات الجهاز المعمول بها.\"\u003e\u003cspan aria-hidden=\"true\"\u003eالحد الأقصى لجهد إمداد التشغيل (فولت)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e20\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"نوع ترتيب الأطراف (Pinout). تلميح: يصف نوع ترتيب الأطراف المرجع التبادلي بين جهات الاتصال، أو الأطراف، لموصل كهربائي أو مكون إلكتروني ووظائفها.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"يصف نوع ترتيب الأطراف المرجع التبادلي بين جهات الاتصال، أو الأطراف، لموصل كهربائي أو مكون إلكتروني ووظائفها.\"\u003e\u003cspan aria-hidden=\"true\"\u003eنوع ترتيب الأطراف\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eSOM\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\n","brand":"NVIDIA","offers":[{"title":"8GB Module \/ 900-13767-0010-000","offer_id":45188133060925,"sku":"SBC1053-8GB","price":83449.99,"currency_code":"INR","in_stock":true},{"title":"16GB Module \/ 900-13767-0000-000","offer_id":45188133093693,"sku":"SBC1053-16GB","price":123999.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/orin_NX_front_module_3dac1c23-03b5-40d4-a7f0-2422127a0f96.jpg?v=1684149669"},{"product_id":"orin-poe","title":"لوحة توسعة PoE لجهاز NVIDIA Jetson Orin","description":"\u003cdiv style=\"text-align: center;\" class=\"pdT\"\u003e\n\n\u003ch1 class=\"richTitle\" style=\"text-align: center;\"\u003eوحدة Jetson Orin PoE\u003c\/h1\u003e\n\n\u003ch3 class=\"richDesc hilitBlock2 round1234\" style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(194, 0, 0);\"\u003eهيكل صغير، توفير أكبر للمساحة\u003c\/span\u003e\u003c\/h3\u003e\n\n\u003cspan\u003e \u003c\/span\u003e\u003cimg style=\"margin-bottom: 16px; float: none;\" alt=\"Jetson Orin PoE Module, front view\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/JETSON-ORIN-POE-MODULE\/JETSON-ORIN-POE-MODULE-details-1.jpg\"\u003e\n\n\u003c\/div\u003e\n\u003cdiv\u003e\n\n\u003cdiv class=\"alignl pdTRBL2\"\u003e\n\n\u003cp\u003eتُعد وحدة\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eJETSON-ORIN-POE-MODULE\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eملحقاً صغيراً يعمل بتقنية التزويد بالطاقة عبر الإيثرنت (PoE) ومتوافق مع معيار 802.3af لجهاز\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eNVIDIA Jetson Orin Nano\/NX\u003c\/strong\u003e. باستخدام هذه الوحدة الصغيرة وبعض معدات تزويد الطاقة المتوافقة مع معيار 802.3af، أصبح من الممكن توفير اتصال الشبكة وإمداد الطاقة للوحة Orin الخاصة بك عبر كابل إيثرنت واحد فقط.\u003c\/p\u003e\n\n\u003cul\u003e\n\n\u003cli\u003eمناسبة للوحات Jetson Orin Nano \/ Jetson Orin NX\u003c\/li\u003e\n\n\u003cli\u003eتدعم تقنية PoE (التزويد بالطاقة عبر الإيثرنت)، متوافقة مع معيار IEEE 802.3af\/at\u003c\/li\u003e\n\n\u003cli\u003eمزود طاقة بتبديل (SMPS) معزول بالكامل\u003c\/li\u003e\n\n\u003cli\u003eأصغر حجماً وأكثر مرونة بفضل تصميم المكونات المدمج\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv\u003e\n\n\u003ch2 class=\"richTitle\"\u003eالمواصفات\u003c\/h2\u003e\n\n\u003ctable class=\"tabSty-2 mgnTB alignl\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eمدخل طاقة POE\u003c\/th\u003e\n\n\u003ctd\u003e37 فولت ~ 57 فولت تيار مستمر\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eمخرج الطاقة\u003c\/th\u003e\n\n\u003ctd\u003e12 فولت 2.1 أمبير تيار مستمر\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eمعيار الشبكة\u003c\/th\u003e\n\n\u003ctd\u003eيدعم IEEE 802.3af\/at PoE\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eالأبعاد\u003c\/th\u003e\n\n\u003ctd\u003e21 × 92 مم\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\n\n\n\u003c\/table\u003e\n\n\n\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv class=\"pdT\" style=\"text-align: center;\"\u003e\n\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eمناسبة للوحات Jetson\u003c\/h2\u003e\n\n\u003cp class=\"richDesc\" style=\"text-align: center;\"\u003eمناسبة لـ Jetson Orin Nano \/ Jetson Orin NX\u003c\/p\u003e\n\n\u003cimg alt=\"Jetson Orin PoE Module, suitable for Jetson Orin Nano \/ Jetson Orin NX\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/JETSON-ORIN-POE-MODULE\/JETSON-ORIN-POE-MODULE-details-3.jpg\" style=\"margin-bottom: 16px; float: none;\"\u003e\n\u003cp class=\"note\" style=\"text-align: left;\"\u003e\u003cem\u003eملاحظة: يجب لحام رؤوس دبابيس PoE في لوحة القاعدة لجهاز Orin Nano\/NX مسبقاً قبل توصيل وحدة PoE.\u003c\/em\u003e\u003c\/p\u003e\n\n\u003cdiv\u003e \u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\" style=\"text-align: center;\"\u003e\n\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eالتزويد بالطاقة عبر الإيثرنت (PoE)\u003c\/h2\u003e\n\n\u003ch4 class=\"richDesc\" style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(194, 0, 1);\"\u003eتوفير اتصال الشبكة وإمداد الطاقة لجهاز Jetson Orin الخاص بك في كابل واحد\u003c\/span\u003e\u003c\/h4\u003e\n\n\u003cimg alt=\"Jetson Orin PoE Module, conection demo\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/JETSON-ORIN-POE-MODULE\/JETSON-ORIN-POE-MODULE-details-5.jpg\" style=\"margin-bottom: 16px; float: none;\"\u003e\n\u003cdiv class=\"msg msg_warning\"\u003e\u003cem\u003e* للرجوع إليها فقط، لوحة Jetson Orin Nano وجهاز السويتش (Switch) غير مشمولين.\u003c\/em\u003e\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eمكونات اللوحة\u003c\/h2\u003e\n\n\u003cimg alt=\"Jetson Orin PoE Module, onboard components\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/JETSON-ORIN-POE-MODULE\/JETSON-ORIN-POE-MODULE-details-7.jpg\" style=\"margin-bottom: 16px; float: none;\"\u003e\n\u003cdiv class=\"msg msg_warning\"\u003e\u003cem\u003eملاحظة: نظراً لصغر حجم لوحة PoE وارتفاع درجة حرارة المحول أثناء العمل، يرجى عدم لمس المحول والتفكير في إضافة حل تبريد إضافي عند استخدام هذه الوحدة.\u003c\/em\u003e\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eالأبعاد الخارجية\u003c\/h2\u003e\n\n\u003cimg alt=\"Jetson Orin PoE Module, outline dimensions\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/JETSON-ORIN-POE-MODULE\/JETSON-ORIN-POE-MODULE-details-size.jpg\" style=\"margin-bottom: 16px; float: none;\"\u003e\n\n\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle\"\u003eالموارد\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eويكي:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003ca href=\"http:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-POE-MODULE\" target=\"_blank\"\u003ewww.waveshare.com\/wiki\/JETSON-ORIN-POE-MODULE\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003e \u003c\/h2\u003e\n\u003ch2\u003eمحتويات العبوة:\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eالوزن:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e0.014 كجم\u003c\/span\u003e\u003c\/p\u003e\n\u003cdiv class=\"std\"\u003e\n\n\u003col\u003e\n\n\u003cli\u003eوحدة JETSON-ORIN-POE-MODULE عدد 1\u003c\/li\u003e\n\n\u003cli\u003eرأس دبابيس ذكر 40 دبوس عدد 1\u003c\/li\u003e\n\n\u003cli\u003eمجموعة براغي عدد 1\u003c\/li\u003e\n\n\u003cli\u003eمفتاح ربط صغير عدد 1\u003c\/li\u003e\n\n\n\u003c\/ol\u003e\n\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/JETSON-ORIN-POE-MODULE\/JETSON-ORIN-POE-MODULE-details-pack.jpg\" alt=\"JETSON-ORIN-POE-MODULE\"\u003e\n\n\u003c\/div\u003e\n\u003c!----\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":48968202387773,"sku":"WVSH0461","price":1499.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/jetson-orin-poe-module-1.jpg?v=1718675728"},{"product_id":"agx-orin-32gb-h01","title":"Jetson AGX Orin 32GB H01 Kit with Jetson AGX Orin 32GB Module, 200 TOPs","description":"\u003cdiv class=\"relative\" id=\"product_info_970a857b53932\"\u003e\n\u003cdiv class=\"html_content_2981\"\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003eJetson AGX Orin 32GB H01 Kit is a powerful and compact intelligent kit to bring up to \u003cstrong\u003e200 TOPS\u003c\/strong\u003emodern AI performance to the edge, which offers up to \u003cstrong\u003e10X the performance of Jetson Xavier NX\u003c\/strong\u003e and up to \u003cstrong\u003e6X the performance of Jetson AGX Xavier\u003c\/strong\u003e. Combining the NVIDIA Ampere™ GPU architecture with 64-bit operating capability, AGX Orin integrates advanced multi-function video and image processing, and NVIDIA Deep Learning Accelerators.\u003c\/p\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003eThe full system includes one Jetson AGX Orin™ production module, a heatsink with a cooling fan, a case and a power adapter, while being the an alternative option for the Jetson AGX Orin Dev Kit. It has a carrier board including PCIe X16, GbE, 10GbE, 3x USB 3.2, HDMI 2.1, M.2 Key M, M.2 Key E, 2.4\/5GHz Wi-Fi, Bluetooth, 16 lane MIPI CSI-2, 40-Pin header, Jetson AGX Orin 32GB H01 Kit is preinstalled with Jetpack 5.0.2, simplifies development, and fits for deployment for edge AI solution providers working in video analytics, object detection, natural language processing, medical imaging, and robotics across industries of smart cities, security, industrial automation, smart factories.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eFeatures\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cul\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n\u003cstrong\u003eBrilliant AI Performance for production: \u003c\/strong\u003eon-device processing with up to 200 TOPS AI performance with low power and low latency.\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n\u003cstrong\u003eHand-size edge AI device:\u003c\/strong\u003e compact size at 107mm x 106.4mm x 70.5mm, includes Jetson AGX Orin™ production module, a heatsink with a cooling fan, enclosure, and a power adapter.\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n\u003cstrong\u003eExpandable with rich I\/Os:\u003c\/strong\u003e PCIe X16, GbE, 10GbE, 3x USB 3.2, HDMI 2.1, M.2 Key M, M.2 Key E, 2.4\/5GHz Wi-Fi, Bluetooth, 16 lane MIPI CSI-2, 40-Pin header.\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n\u003cstrong\u003eAccelerate solution to market:\u003c\/strong\u003e pre-installed JetPack 5.0.2, Linux OS BSP, support Jetson software and leading AI frameworks and software platforms.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eDescription\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\" style=\"text-align: center;\"\u003e\n\u003cp style=\"text-align: left;\" class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003eWith rich extension modules, industrial peripherals, and thermal management, Jetson AGX Orin 32GB H01 Kit is ready to help you accelerate and scale the next-gen AI product by deploying popular DNN models and ML frameworks to the edge and inferencing with high performance, for tasks like real-time classification and object detection, pose estimation, semantic segmentation, and natural language processing (NLP).\u003c\/p\u003e\n\u003cp style=\"text-align: left;\" class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003eAt Seeed Studio, you will find everything you want to work with the NVIDIA Jetson Platform – official NVIDIA Jetson Dev Kits, Seeed-designed carrier boards, edge devices, as well as accessories.\u003c\/p\u003e\n\u003cp style=\"text-align: left;\" class=\"paragraph text-align-type-left pap-line-1.13 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eWe have prepared abundent \u003ca rel=\"noopener\" href=\"https:\/\/wiki.seeedstudio.com\/Jetson-AI-developer-tools\/\" target=\"_blank\"\u003eguides \u003c\/a\u003eto get started with NVIDIA Jetson using leading AI frameworks and software. For example, with \u003ca rel=\"noopener\" href=\"https:\/\/wiki.seeedstudio.com\/YOLOv5-Object-Detection-Jetson\/\" target=\"_blank\"\u003eDeepstream and TensorRT\u003c\/a\u003e, developers can deploy custom YOLOv5 models on Jetson AGX Orin.\u003c\/p\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/h2\u003e\n\u003ch2 style=\"text-align: left;\" class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eDeveloper Tools\u003c\/h2\u003e\n\u003ch3 style=\"text-align: left;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003ePre-installed Jetpack for fast development and edge AI integration\u003c\/h3\u003e\n\u003cp style=\"text-align: left;\" class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/developer.nvidia.com\/embedded\/develop\/software\" target=\"_blank\"\u003eJetson software stack\u003c\/a\u003e begins with NVIDIA JetPack™ SDK which provides a full development environment and includes CUDA-X accelerated libraries and other NVIDIA technologies to kickstart your development. JetPack includes the Jetson Linux Driver package which provides the Linux kernel, bootloader, NVIDIA drivers, flashing utilities, sample filesystem, and toolchains for the Jetson platform. It also includes security features, over-the-air update capabilities, and much more.\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cimg data-original=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/image8.png\" height=\"950\" width=\"950\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/image8.png\" style=\"float: none;\"\u003e\u003c\/p\u003e\n\u003ch3 style=\"text-align: left;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/h3\u003e\n\u003ch3 style=\"text-align: left;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eComputer Vision and embedded machine learning\u003c\/h3\u003e\n\u003cul style=\"text-align: left;\"\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003ca rel=\"noopener\" href=\"https:\/\/developer.nvidia.com\/deepstream-sdk\" target=\"_blank\"\u003eNVIDIA DeepStream SDK\u003c\/a\u003e delivers a complete streaming analytics toolkit for AI-based multi-sensor processing and video and image understanding on Jetson.\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003ca rel=\"noopener\" href=\"https:\/\/developer.nvidia.com\/tao-toolkit\" target=\"_blank\"\u003eNVIDIA TAO tool kit\u003c\/a\u003e, built on TensorFlow and PyTorch, is a low-code version of the NVIDIA TAO framework that accelerates the model training\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003ca rel=\"noopener\" href=\"https:\/\/alwaysai.co\/blog\/getting-started-with-the-jetson-nano-using-alwaysai\" target=\"_blank\"\u003ealwaysAI\u003c\/a\u003e: build, train, and deploy computer vision applications directly at the edge of reComputer. Get free access to 100+ pre-trained Computer Vision Models and train custom AI models in the cloud in a few clicks via enterprise subscription. Check out our \u003ca rel=\"noopener\" href=\"https:\/\/wiki.seeedstudio.com\/alwaysAI-Jetson-Getting-Started\/#object-detection-on-pre-loaded-video-file\" target=\"_blank\"\u003ewiki\u003c\/a\u003e guide to get started with alwaysAI.\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003ca rel=\"noopener\" href=\"https:\/\/www.edgeimpulse.com\/\" target=\"_blank\"\u003eEdge Impulse\u003c\/a\u003e: the easiest embedded machine learning pipeline for deploying audio, classification, and object detection applications at the edge with zero dependencies on the cloud.\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003ca rel=\"noopener\" href=\"https:\/\/blog.roboflow.com\/deploy-to-nvidia-jetson\/\" target=\"_blank\"\u003eRoboflow\u003c\/a\u003e provides tools to convert raw images into a custom-trained computer vision model of object detection and classification and deploy the model for use in applications. See the \u003ca rel=\"noopener\" href=\"https:\/\/docs.roboflow.com\/inference\/nvidia-jetson\" target=\"_blank\"\u003efull documentation\u003c\/a\u003e for deploying to NVIDIA Jetson with Roboflow.\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003ca rel=\"noopener\" href=\"https:\/\/github.com\/ultralytics\/yolov5\" target=\"_blank\"\u003eYOLOv5 by Ultralytics\u003c\/a\u003e: use transfer learning to realize few-shot object detection with YOLOv5 which needs only a very few training samples. See our step-by-step \u003ca rel=\"noopener\" href=\"https:\/\/wiki.seeedstudio.com\/YOLOv5-Object-Detection-Jetson\/\" target=\"_blank\"\u003ewiki \u003c\/a\u003etutorials\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003ca rel=\"noopener\" href=\"https:\/\/deci.ai\/blog\/jetson-machine-learning-inference\/\" target=\"_blank\"\u003eDeci\u003c\/a\u003e: optimize your models on NVIDIA Jetson Nano. Check the \u003ca rel=\"noopener\" href=\"https:\/\/info.deci.ai\/benchmark-optimize-runtime-performance-nvidia-jetson\" target=\"_blank\"\u003ewebinar\u003c\/a\u003e at Deci of Automatically Benchmark and Optimize Runtime Performance on NVIDIA Jetson Nano and Xavier NX Devices\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 style=\"text-align: left;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eSpeech AI\u003c\/h3\u003e\n\u003cul style=\"text-align: left;\"\u003e\n\u003cli\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/developer.nvidia.com\/riva\" target=\"_blank\"\u003eNVIDIA® Riva\u003c\/a\u003e is a GPU-accelerated SDK for building Speech AI applications that are customized for your use case and deliver real-time performance.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 style=\"text-align: left;\" class=\"document\"\u003eRemote Fleet Management\u003c\/h3\u003e\n\u003cp style=\"text-align: left;\" dir=\"ltr\"\u003eEnable secure OTA and remote device management with \u003ca rel=\"noopener\" href=\"https:\/\/www.allxon.com\/\" target=\"_blank\"\u003eAllxon\u003c\/a\u003e. Unlock 90 days free trial with code H4U-NMW-CPK.\u003c\/p\u003e\n\u003ch3 style=\"text-align: left;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eRobot and ROS Development\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli style=\"text-align: left;\" class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eNVIDIA Isaac ROS GEMs are hardware-accelerated packages that make it easier for ROS developers to build high-performance solutions on NVIDIA hardware. Learn more about \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/develop\/software\"\u003eNVIDIA Developer Tools\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli style=\"text-align: left;\" class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n\u003ca href=\"https:\/\/www.cogniteam.com\/nimbus\"\u003eCogniteam Nimbus\u003c\/a\u003e is a cloud-based solution that allows developers to manage autonomous robots more effectively. Nimbus platform supports NVIDIA® Jetson™ and ISAAC SDK and GEMs out-of-the-box. Check out our \u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/04\/21\/webinar-connect-your-ros-project-to-the-cloud-with-nimbus\/\"\u003ewebinar\u003c\/a\u003e on connecting your ROS Project to the Cloud with Nimbus.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eComparison among Jetson AGX Orin 32GB H01 Kit and AGX Orin Developer Kit\u003c\/h2\u003e\n\u003cdiv class=\"p_2981_table_wrapper\"\u003e\n\u003ctable class=\"p_2981_table\" cellpadding=\"1\"\u003e\n\u003ccolgroup\u003e \u003ccol width=\"117px\"\u003e \u003ccol width=\"227px\"\u003e \u003ccol width=\"250px\"\u003e \u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003eSpecifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003eJetson AGX Orin 32GB H01 Kit\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/thinkrobotics.com\/products\/nvidia-jetson-agx-orin-developer-kit-64gb\" target=\"_blank\"\u003eJetson AGX Orin Developer Kit\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eAI Performance\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e200 TOPS\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e275 TOPS\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eGPU\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e1792-core NVIDIA Ampere GPU with 56 Tensor Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eNVIDIA Ampere architecture with 2048 NVIDIA® CUDA® cores and 64 Tensor Cores\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eCPU\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e8-core NVIDIA Arm® Cortex A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e12-core Arm® Cortex®-A78AE v8.2 64-bit CPU 3MB L2 + 6MB L3\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eMemory\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"477\" valign=\"\" align=\"\" colspan=\"2\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e32 GB 256-bit LPDDR5 204.8 GB\/s\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eDL Accelerator\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"477\" valign=\"\" align=\"\" colspan=\"2\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e2 x NVDLA v2.0\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eVision Accelerator\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"477\" valign=\"\" align=\"\" colspan=\"2\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e1 x PVA v2.0\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eStorage\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"477\" valign=\"\" align=\"\" colspan=\"2\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e64GB eMMC 5.1\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eVideo Encoder\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e1x 4K60 | 3x 4K30 | 6x 1080p60 | 12x 1080p30 (H.265) 1x 4K60 | 2x 4K30 | 5x 1080p60 | 11x 1080p30 (H.264)\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e2x 4K60 | 4x 4K30 | 8x 1080p60 | 16x 1080p30 (H.265)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eVideo Decoder\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e1x 8K30 | 2x 4K60 | 4x 4K30 | 9x 1080p60| 18x 1080p30 (H.265) 1x 4K60 | 2x 4K30 | 5x 1080p60 | 11x 1080p30 (H.264)\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e1x 8K30 | 3x 4K60 | 6x 4K30 | 12x 1080p60| 24x 1080p30 (H.265)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eDisplay\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e1* HDMI 2.1\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e1* DisplayPort 1.4a (+MST)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eCamera\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"477\" valign=\"\" align=\"\" colspan=\"2\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e1* 16 lane MIPI CSI-2 connector\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eNetworking\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e1* GbE\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e1* 10GbE\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e1* 10GbE\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eUSB\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e2x USB 3.2 Type-A (Integrated USB 2.0), 1x USB 3.2 Type-C (Integrated USB 2.0)\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e2x USB 3.2 Gen2 Type-Cwith USB-PD support\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e4x USB 3.2 Gen2 Type-A\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eUSB 2.0 Micro-B\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eM.2 Key M\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"477\" valign=\"\" align=\"\" colspan=\"2\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e1* M.2 Key M\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eM.2 Key E\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e1* M.2 Key E (pre-installed WIFI+BT：8265.NGWMG.NV 949399)\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-center pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\/\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eFan\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e1* 4-pin fan (5V PWM)\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e1* 4-pin fan\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003emicroSD card slot\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"477\" valign=\"\" align=\"\" colspan=\"2\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e1 * microSD card slot\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eAudio Jack\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e1* 3.5mm audio jack\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-center pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\/\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eRTC\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"477\" valign=\"\" align=\"\" colspan=\"2\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e2-pin RTC\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eRS485\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e1* RS485(3P 1.5mm pitch)\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\/\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eRS232\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e1* RS232(3P 1.5mm pitch)\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\/\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eOthers\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e40-pin header, 1* SPI Bus(+3.3V Level), 6* GPIO(+3.3V Level), 1x CAN, Force Recovery, Reset and Power ON\/ OFF buttons, 12V\/2A 2-pin power output \u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e40-pin header, 12-pin automation header, 10-pin audio panel header, 10-pin JTAG header, Force Recovery, and Reset buttons\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003ePower Supply\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e+9---+20V DC Input @ 8A\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e19V via USB Type-C\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eMechanical\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e107mm x 106.4mm x 70.5mm\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e110mm x 110mm x 71.65mm\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eOperating Temperature\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e-25 ⁰C to +70 ⁰C\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e0 ⁰C to 35 ⁰C\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eHardware Overview\u003c\/h2\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eInterface-rich reference carrier board\u003c\/h3\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eJetson AGX Orin 32GB H01 Kit is a high-performance, interface-rich kit, providing PCIe X16, 1x 1GbE, 1x 10GbE, 3x USB 3.2, HDMI 2.1, M.2 Key M, and M.2 Key E, 2.4\/5GHz Wi-Fi, Bluetooth, 16 lane MIPI CSI-2, UART, 40-Pin header, and other rich peripheral interfaces.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eTake advantage of the small form factor, sensor-rich interfaces, and big performance to bring new capabilities to all your embedded AI and edge systems.\u003c\/p\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cspan class=\"image-wrapper\"\u003e\u003cimg height=\"444\" width=\"950\" src=\"https:\/\/wdcdn.qpic.cn\/MTMxMDI3MDEwNTAxNTUxMDk_255393_5HLQ4e4U98vUwzeP_1673419554?w=1280\u0026amp;h=945.6512455516014\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cspan class=\"image-wrapper\"\u003e \u003c\/span\u003e\u003c\/p\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cspan class=\"image-wrapper\"\u003e\u003cimg height=\"514\" width=\"487\" src=\"https:\/\/wdcdn.qpic.cn\/MTMxMDI3MDEwNTAxNTUxMDk_492681_ZONmnIe8SsiuTMst_1673341714?w=815\u0026amp;h=861\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tips\"\u003e\n\u003cdiv class=\"right-desc\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e \u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cimg width=\"800\" alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/7_1_-114110207-Jetson-AGX-Orin-32GB-H01-Kit-size.jpg\"\u003e\u003c\/p\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003ePart List\u003c\/h2\u003e\n\u003cdiv class=\"p_2981_table_wrapper\"\u003e\n\u003ctable class=\"p_2981_table\" border=\"1\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eJetson AGX Orin 32GB\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003ctd\u003e×1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eSeeed carrier board\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003ctd\u003e×1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eAluminum heatsink with fan\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003ctd\u003e×1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eAluminum case\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003ctd\u003e×1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e19V\/4.74A(Barrel Jack 5.5\/2.5mm) power adapter\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003ctd\u003e×1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eDocuments\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tips\"\u003e\n\u003cdiv class=\"right-desc\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"relative\" id=\"product_info_d207d4b02efa4\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"html_content_2981\"\u003e\n\u003cdiv class=\"documents_list\"\u003e\n\u003cul\u003e\n\u003cli class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/Jetson-AGX-Orin-32GB-H01-Kit-Datasheet.pdf\" target=\"_blank\"\u003eJetson AGX Orin 32GB H01 Kit Datasheet.pdf\u003c\/a\u003e\u003c\/li\u003e\n\u003cli class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/NVIDIA-Jetson-Devices-and-carrier-boards-comparision.pdf\" target=\"_blank\"\u003eNVIDIA Jetson Devices and carrier boards comparision.pdf\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":49842836078909,"sku":"SBC1119","price":223549.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/1-114110207-jetson-agx-orin-32gb-h01-kit-45fotn_1.jpg?v=1737739550"},{"product_id":"rtx-pro-6000-blackwell-workstation-edition","title":"RTX PRO 6000 Blackwell Workstation Edition","description":"\u003ch2 style=\"text-align: center;\"\u003eNVIDIA RTX PRO 6000 Blackwell Workstation Edition\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003ePowering the next era of AI.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/nvidia-workstation-rtx-pro-6000-ari.jpg?v=1755492118\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eThe Ultimate AI and Graphics Performance\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eThe NVIDIA RTX PRO 6000 Blackwell Workstation Edition is the most powerful desktop GPU ever created redefining performance and capability for professionals. Dominate the most advanced models and tackle the most demanding creative workflows with unmatched AI processing power. Built on the groundbreaking NVIDIA Blackwell architecture and equipped with 96GB of ultra-fast GDDR7 memory, the RTX PRO 6000 delivers unparalleled speed, precision, and efficiency, empowering you to achieve the impossible.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ciframe width=\"943\" height=\"539\" src=\"https:\/\/www.youtube.com\/embed\/P0BC2qZyvAM\" title=\"NVIDIA RTX PRO 6000 Blackwell Workstation Edition\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eHighlights — Industry-Leading Performance\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; font-family: system-ui, -apple-system, 'Segoe UI', Roboto, Arial, sans-serif; margin-left: auto; margin-right: auto;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"text-align: center;\"\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); width: 68.8784%; text-align: center;\"\u003eAI Performance\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); width: 31.1216%; text-align: center;\"\u003e4000 TOPS\u003csup\u003e1,2\u003c\/sup\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 68.8784%;\"\u003eRT Core Performance\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 31.1216%;\"\u003e380 TFLOPS\u003csup\u003e1\u003c\/sup\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; text-align: center; width: 68.8784%;\"\u003eSingle-Precision (FP32) Performance\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; text-align: center; width: 31.1216%;\"\u003e125 TFLOPS\u003csup\u003e1\u003c\/sup\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003ctfoot\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; font-size: 0.9rem; color: rgb(85, 85, 85); border-top: 1px solid rgb(221, 221, 221); text-align: center; width: 100%;\" colspan=\"2\"\u003e\n\u003cem\u003eNotes:\u003c\/em\u003e As specified by manufacturer.  TOPS = Tera Operations Per Second.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tfoot\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eFeatures\u003c\/h2\u003e\n\u003ch3 style=\"text-align: center;\"\u003ePowered by NVIDIA Blackwell Architecture\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/geforce-rtx-50-series-architecture-ari.jpg?v=1755491985\" alt=\"\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ctable style=\"width: 90%; margin: auto; height: 81.141px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 81.141px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 28.9157%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eFifth-Gen Tensor Cores\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eMax AI performance with FP4 and DLSS 4\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 41.5806%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eNew Streaming Multiprocessors\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eOptimized for RTX Neural Shaders\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 28.7005%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eFourth-Gen Ray Tracing Cores\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eBuilt for RTX Mega Geometry\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ctable style=\"width: 90%; margin: auto; height: 1291.09px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 414.094px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 414.094px;\"\u003e\n\u003cimg height=\"82\" width=\"82\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-tensor-core-ffffff_1.svg?v=1755494534\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e5th Gen Tensor Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eFifth-generation Tensor Cores deliver up to 3X the performance of the previous generation and add support for FP4 precision and DLSS 4 Multi Frame Generation technology. Accelerate agentic and generative AI applications and drive enhanced content creation and graphics.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 414.094px;\"\u003e\n\u003cimg height=\"82\" width=\"82\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-render-ffffff_1.svg?v=1755494654\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e4th Gen RT Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eFourth-generation RT Cores deliver up to 2X the performance of the previous generation, accelerating rendering for M\u0026amp;E content creation, AECO design, and manufacturing prototyping. Create photoreal, physically accurate scenes and immersive 3D designs with neural graphics-based technologies, such as RTX Mega Geometry, enabling up to 100X more ray-traced triangles.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 414.094px;\"\u003e\n\u003cimg height=\"82\" width=\"82\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-accelerating-cuda-c---appl-with-multiple-gpus-ffffff_1.svg?v=1755494655\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eCUDA Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNVIDIA Blackwell is the most powerful professional RTX GPU ever created, featuring the latest SM and CUDA® core technology. The SM features increased processing throughput and new neural shaders that integrate neural networks inside of programmable shaders to drive the next decade of AI-augmented graphics innovations.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 409.109px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.109px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-gpu-chip-ffffff_1.svg?v=1755494655\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e96GB of GPU Memory\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNew and improved GDDR7 memory significantly boosts bandwidth and capacity, empowering your applications to run faster and work with larger, more complex datasets. With 96 GB of GPU memory, tackle massive 3D and AI projects, explore large-scale VR environments, and drive larger multi-app workflows.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.109px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-gpu-encoding-ffffff_1.svg?v=1755494865\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e9th-Gen NVENC\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNinth-generation NVIDIA NVENC engines significantly accelerate video encoding speed and improve quality for professional video applications. They add new support for 4:2:2 H.264 and HEVC encoding, and improve HEVC and AV1 encoding quality.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.109px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-broadcast-ffffff_1_1.svg?v=1755494943\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e6th-Gen NVDEC\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eSixth-generation NVIDIA NVDEC engines provide up to double H.264 decoding throughput and offer support for 4:2:2 H.264 and HEVC decode. Professionals can benefit from high-quality video playback, accelerate video data ingestion, and use advanced AI-powered video editing features.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 467.891px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 467.891px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-multi-gpus-ffffff_1.svg?v=1755494864\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eMulti-Instance GPU\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eMulti-Instance GPU (MIG) expands the performance and value of RTX PRO 6000 Max-Q, enabling the creation of up to four (4) fully isolated instances. Each MIG instance has its own high-bandwidth memory, cache, and compute cores. and guaranteed quality of service (QoS), extending the reach of accelerated computing resources to every user.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 467.891px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-pcie-switch-ffffff_1.svg?v=1755494759\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003ePCIe Gen 5\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eSupport for PCI Express Gen 5 provides double the bandwidth of PCIe Gen 4, improving data-transfer speeds from CPU memory and unlocking faster performance for data-intensive tasks like AI, data science, and 3D modeling.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 467.891px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-display-gaming-no-bezel-ffffff_1.svg?v=1755494759\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eDisplayPort 2.1\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eWith DisplayPort 2.1, professionals can achieve unparalleled visual clarity and performance, driving high-resolution displays at up to 8K at 240Hz and 16K at 60Hz. Increased bandwidth enables seamless multi-monitor setups, ideal for multitasking and collaboration, while HDR and higher color depth support ensure superior color accuracy for precision work, such as video editing, 3D design, and live broadcasting.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 style=\"text-align: center;\"\u003eWorkloads\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003eMulti-Workload Acceleration\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Screenshot_18-8-2025_101130_www.nvidia.com.jpg?v=1755492099\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eSpecifications\u003c\/span\u003e\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; font-family: system-ui, -apple-system, Segoe UI, Roboto, Arial, sans-serif;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); font-weight: 600; text-align: center; width: 52.9226%;\"\u003eNVIDIA Architecture\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 47.0774%;\"\u003eNVIDIA Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); font-weight: 600; text-align: center; width: 52.9226%;\"\u003eAI TOPS\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 47.0774%;\"\u003e4000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); font-weight: 600; text-align: center; width: 52.9226%;\"\u003eTensor Cores\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 47.0774%;\"\u003e5th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); font-weight: 600; text-align: center; width: 52.9226%;\"\u003eRay Tracing Cores\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 47.0774%;\"\u003e4th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); font-weight: 600; text-align: center; width: 52.9226%;\"\u003eNVIDIA Encoder (NVENC)\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 47.0774%;\"\u003e4× 9th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); font-weight: 600; text-align: center; width: 52.9226%;\"\u003eNVIDIA Decoder (NVDEC)\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 47.0774%;\"\u003e4× 6th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); font-weight: 600; text-align: center; width: 52.9226%;\"\u003eMemory Configuration\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 47.0774%;\"\u003e96 GB GDDR7 with ECC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); font-weight: 600; text-align: center; width: 52.9226%;\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 47.0774%;\"\u003e1792 GB\/sec\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; font-weight: 600; text-align: center; width: 52.9226%;\"\u003eMax Power Consumption\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; text-align: center; width: 47.0774%;\"\u003e600 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDownload\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; font-family: system-ui, -apple-system, Segoe UI, Roboto, Arial, sans-serif;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center;\"\u003eDatasheet\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center;\"\u003e\u003cem\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/workstation-blackwell-rtx-pro-6000-workstation-edition-nvidia-us-3519208-web.pdf?v=1755491687\" title=\"Datasheet RTX6000\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/em\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePackage Contains\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e1x NVIDIA RTX PRO™ 6000 Blackwell Workstation Edition Professional Graphics Card\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e1x Auxiliary Power Cable\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":50631936180541,"sku":"SBC5002","price":1828999.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/NVIDIA-RTX-PRO-6000-Blackwell-Workstation-Edition-Front.png?v=1755493901"},{"product_id":"rtx-pro-6000-blackwell-workstation-edition-copy","title":"RTX PRO 6000 Blackwell Server Edition","description":"\u003ch2 style=\"text-align: center;\"\u003eNVIDIA RTX PRO 6000 Blackwell Server Edition\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003eUniversal AI and Visual Computing Performance for the Data Center\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Screenshot_9-9-2025_12323_www.nvidia.com.jpg?v=1757399593\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eUniversal AI and Visual Computing Performance for the Data Center\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eBuilt on the groundbreaking NVIDIA Blackwell architecture, the NVIDIA RTX PRO™ 6000 Blackwell Server Edition delivers a powerful combination of AI and visual computing capabilities to accelerate enterprise data center workloads. Equipped with 96GB of ultra-fast GDDR7 memory, the NVIDIA RTX PRO 6000 Blackwell provides unparalleled performance and flexibility to accelerate a broad range of use cases - from agentic AI, physical AI, and scientific computing to rendering, 3D graphics, and video.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ciframe title=\"NVIDIA RTX PRO 6000 Blackwell Server Edition\" src=\"https:\/\/www.youtube.com\/embed\/xF1kkf7zXRA\" height=\"539\" width=\"943\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 style=\"text-align: center;\"\u003eFeatures\u003c\/h2\u003e\n\u003ch3 style=\"text-align: center;\"\u003ePowered by NVIDIA Blackwell Architecture\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/geforce-rtx-50-series-architecture-ari.jpg?v=1755491985\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ctable style=\"width: 90%; margin: auto; height: 81.141px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 81.141px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 28.9157%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eFifth-Gen Tensor Cores\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eMax AI performance with FP4 and DLSS 4\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 41.5806%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eNew Streaming Multiprocessors\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eOptimized for RTX Neural Shaders\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 28.7005%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eFourth-Gen Ray Tracing Cores\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eBuilt for RTX Mega Geometry\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ctable style=\"width: 90%; margin: auto; height: 1291.09px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 414.094px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 414.094px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-tensor-core-ffffff_1.svg?v=1755494534\" alt=\"\" width=\"82\" height=\"82\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e5th Gen Tensor Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eFifth-generation Tensor Cores deliver up to 3X the performance of the previous generation and add support for FP4 precision and DLSS 4 Multi Frame Generation technology. Accelerate agentic and generative AI applications and drive enhanced content creation and graphics.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 414.094px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-render-ffffff_1.svg?v=1755494654\" alt=\"\" width=\"82\" height=\"82\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e4th Gen RT Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eFourth-generation RT Cores deliver up to 2X the performance of the previous generation, accelerating rendering for M\u0026amp;E content creation, AECO design, and manufacturing prototyping. Create photoreal, physically accurate scenes and immersive 3D designs with neural graphics-based technologies, such as RTX Mega Geometry, enabling up to 100X more ray-traced triangles.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 414.094px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-accelerating-cuda-c---appl-with-multiple-gpus-ffffff_1.svg?v=1755494655\" alt=\"\" width=\"82\" height=\"82\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eCUDA Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNVIDIA Blackwell is the most powerful professional RTX GPU ever created, featuring the latest SM and CUDA® core technology. The SM features increased processing throughput and new neural shaders that integrate neural networks inside of programmable shaders to drive the next decade of AI-augmented graphics innovations.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 409.109px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.109px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-gpu-chip-ffffff_1.svg?v=1755494655\" alt=\"\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e96GB of GPU Memory\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNew and improved GDDR7 memory significantly boosts bandwidth and capacity, empowering your applications to run faster and work with larger, more complex datasets. With 96 GB of GPU memory, tackle massive 3D and AI projects, explore large-scale VR environments, and drive larger multi-app workflows.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.109px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-gpu-encoding-ffffff_1.svg?v=1755494865\" alt=\"\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e9th-Gen NVENC\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNinth-generation NVIDIA NVENC engines significantly accelerate video encoding speed and improve quality for professional video applications. They add new support for 4:2:2 H.264 and HEVC encoding and improve HEVC and AV1 encoding quality.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.109px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-broadcast-ffffff_1_1.svg?v=1755494943\" alt=\"\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e6th-Gen NVDEC\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eSixth-generation NVIDIA NVDEC engines provide up to double H.264 decoding throughput and offer support for 4:2:2 H.264 and HEVC decode. Professionals can benefit from high-quality video playback, accelerate video data ingestion, and use advanced AI-powered video editing features.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 467.891px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 467.891px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-multi-gpus-ffffff_1.svg?v=1755494864\" alt=\"\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eMulti-Instance GPU\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eMulti-Instance GPU (MIG) expands the performance and value of RTX PRO 6000 Max-Q, enabling the creation of up to four (4) fully isolated instances. Each MIG instance has its own high-bandwidth memory, cache, and compute cores. and guaranteed quality of service (QoS), extending the reach of accelerated computing resources to every user.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 467.891px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-pcie-switch-ffffff_1.svg?v=1755494759\" alt=\"\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003ePCIe Gen 5\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eSupport for PCI Express Gen 5 provides double the bandwidth of PCIe Gen 4, improving data-transfer speeds from CPU memory and unlocking faster performance for data-intensive tasks like AI, data science, and 3D modeling.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 467.891px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-display-gaming-no-bezel-ffffff_1.svg?v=1755494759\" alt=\"\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eDisplayPort 2.1\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eWith DisplayPort 2.1, professionals can achieve unparalleled visual clarity and performance, driving high-resolution displays at up to 8K at 240Hz and 16K at 60Hz. Increased bandwidth enables seamless multi-monitor setups, ideal for multitasking and collaboration, while HDR and higher color depth support ensure superior color accuracy for precision work, such as video editing, 3D design, and live broadcasting.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eWorkloads\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003eMulti-Workload Acceleration\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Screenshot_9-9-2025_12254_www.nvidia.com.jpg?v=1757399594\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eSpecifications\u003c\/span\u003e\u003c\/h2\u003e\n\u003ctable cellpadding=\"6\" cellspacing=\"0\" border=\"1\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth style=\"text-align: center;\"\u003eSpecification\u003c\/th\u003e\n\u003cth style=\"text-align: center;\"\u003eDetails\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eGPU Architecture\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVIDIA Blackwell Architecture\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eCUDA Parallel Processing cores\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e24,064\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVIDIA Tensor Cores\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e752 (5th Gen)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVIDIA RT Cores\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e188 (4th Gen)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eSingle-Precision Performance (FP32)\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e120 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003ePeak FP4 AI PFLOPS\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4 PFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eRT Core Performance\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e355 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eGPU Memory\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e96 GB GDDR7 with ECC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eMemory Interface\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e512-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1597 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003ePower Consumption\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eUp to 600W (Configurable)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eMulti-Instance GPU\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eUp to 4 MIGs @ 24GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVENC | NVDEC | JPEG\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4x | 4x | 4x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eConfidential Compute\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eSupported\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eSecure Boot with Root of Trust\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eGraphics Bus\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ePCI Express 5.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eDisplay Connectors\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4x DisplayPort 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eForm Factor\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4.4\" (H) x 10.5\" (L), dual slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eThermal Solution\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ePassive\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003ePower Connector\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1x PCIe CEM5 16-pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cb\u003eNote\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003ci\u003eAll specifications are preliminary.\u003c\/i\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDownload \u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; font-family: system-ui, -apple-system, Segoe UI, Roboto, Arial, sans-serif;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center;\"\u003eDatasheet\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center;\"\u003e\u003ca rel=\"noopener\" title=\"Datasheet RTX6000\" href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/rtx-pro-6000-blackwell-server-edition-data-sheet.pdf?v=1757399342\" target=\"_blank\"\u003e\u003cem\u003eDownload\u003c\/em\u003e\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePackage Contains\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e1x NVIDIA RTX PRO 6000 Blackwell Server Edition\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e1x Auxiliary Power Cable\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":50720693551421,"sku":"SBC5003","price":1828999.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/nvidia-rtx-pro-6000-bw-server-edition-og.jpg?v=1757485570"},{"product_id":"rtx-pro-6000-blackwell-server-edition-copy","title":"RTX PRO 6000 Blackwell Max-Q Workstation Edition","description":"\u003ch2 style=\"text-align: center;\"\u003eNVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003ePowering the next era of AI. \u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Screenshot_10-9-2025_11643_www.nvidia.com_4163b5c5-1060-435c-8f94-10ee4b31a3eb.jpg?v=1757482591\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eScalable Workstation Performance \u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eExperience the next level of AI and creative performance with the NVIDIA RTX PRO™ 6000 Blackwell Max-Q Workstation Edition. Engineered to accelerate your most demanding workflows, it delivers unparalleled AI and neural rendering capabilities backed by 96GB of ultra-fast GDDR7 memory, in a density-optimized design. Seamlessly scale from one to four GPUs, multiplying your compute power and enabling you to pioneer new frontiers in AI, data science, and graphics.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eHighlights — Industry-Leading Performance\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; font-family: system-ui, -apple-system, 'Segoe UI', Roboto, Arial, sans-serif; margin-left: auto; margin-right: auto;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"text-align: center;\"\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); width: 68.9369%; text-align: center;\"\u003eAI Performance\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); width: 31.0631%; text-align: center;\"\u003e3511 TOPS\u003csup\u003e1,2\u003c\/sup\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 68.9369%;\"\u003eRT Core Performance\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 31.0631%;\"\u003e333 TFLOPS\u003csup\u003e1\u003c\/sup\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; text-align: center; width: 68.9369%;\"\u003eSingle-Precision (FP32) Performance\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; text-align: center; width: 31.0631%;\"\u003e110 TFLOPS\u003csup\u003e1\u003c\/sup\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003ctfoot\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" style=\"padding: 10px; font-size: 0.9rem; color: rgb(85, 85, 85); border-top: 1px solid rgb(221, 221, 221); text-align: center; width: 100%;\"\u003e\n\u003cem\u003e\u003c\/em\u003e\n\u003cp\u003e1. Peak rates based on GPU Boost Clock.   |   2. Theoretical FP4 TOPS using sparsity.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tfoot\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eFeatures\u003c\/h2\u003e\n\u003ch3 style=\"text-align: center;\"\u003ePowered by NVIDIA Blackwell Architecture\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/geforce-rtx-50-series-architecture-ari.jpg?v=1755491985\" alt=\"\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ctable style=\"width: 90%; margin: auto; height: 81.141px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 81.141px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 28.9157%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eFifth-Gen Tensor Cores\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eMax AI performance with FP4 and DLSS 4\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 41.5806%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eNew Streaming Multiprocessors\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eOptimized for RTX Neural Shaders\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 28.7005%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eFourth-Gen Ray Tracing Cores\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eBuilt for RTX Mega Geometry\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ctable style=\"width: 90%; margin: auto; height: 1293.06px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 448.094px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 448.094px;\"\u003e\n\u003cimg height=\"82\" width=\"82\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-tensor-core-ffffff_1.svg?v=1755494534\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e5th Gen Tensor Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eFifth-generation Tensor Cores deliver up to 3X the performance of the previous generation and add support for FP4 precision and DLSS 4 Multi Frame Generation technology. Accelerate local LLMs, prototype new AI models, and drive enhanced content creation and graphics.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 448.094px;\"\u003e\n\u003cimg height=\"82\" width=\"82\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-render-ffffff_1.svg?v=1755494654\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e4th Gen RT Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eFourth-generation RT Cores deliver up to 2X the performance of the previous generation, accelerating rendering for M\u0026amp;E content creation, AECO design, and manufacturing prototyping. Create photoreal, physically accurate scenes and immersive 3D designs with neural graphics-based technologies, such as RTX Mega Geometry, enabling up to 100X more ray-traced triangles.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 448.094px;\"\u003e\n\u003cimg height=\"82\" width=\"82\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-accelerating-cuda-c---appl-with-multiple-gpus-ffffff_1.svg?v=1755494655\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eCUDA Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNVIDIA Blackwell is the most powerful professional RTX GPU ever created, featuring the latest SM and CUDA® core technology. The SM features increased processing throughput and new neural shaders that integrate neural networks inside of programmable shaders to drive the next decade of AI-augmented graphics innovations.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 409.094px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.094px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-gpu-chip-ffffff_1.svg?v=1755494655\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e96GB of GPU Memory\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNew and improved GDDR7 memory significantly boosts bandwidth and capacity, empowering your applications to run faster and work with larger, more complex datasets. With 96 GB of GPU memory, tackle massive 3D and AI projects, explore large-scale VR environments, and drive larger multi-app workflows.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.094px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-gpu-encoding-ffffff_1.svg?v=1755494865\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e9th-Gen NVENC\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNinth-generation NVIDIA NVENC engines significantly accelerate video encoding speed and improve quality for professional video applications. They add new support for 4:2:2 H.264 and HEVC encoding and improve HEVC and AV1 encoding quality.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.094px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-broadcast-ffffff_1_1.svg?v=1755494943\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e6th-Gen NVDEC\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eSixth-generation NVIDIA NVDEC engines provide up to double H.264 decoding throughput and offer support for 4:2:2 H.264 and HEVC decode. Professionals can benefit from high-quality video playback, accelerate video data ingestion, and use advanced AI-powered video editing features.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 435.875px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 435.875px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-multi-gpus-ffffff_1.svg?v=1755494864\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eMulti-Instance GPU\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eMulti-Instance GPU (MIG) expands the performance and value of RTX PRO 6000 Max-Q, enabling the creation of up to four (4) fully isolated instances. Each MIG instance has its own high-bandwidth memory, cache, and compute cores. and guaranteed quality of service (QoS), extending the reach of accelerated computing resources to every user.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 435.875px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-pcie-switch-ffffff_1.svg?v=1755494759\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003ePCIe Gen 5\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eSupport for PCI Express Gen 5 provides double the bandwidth of PCIe Gen 4, improving data-transfer speeds from CPU memory and unlocking faster performance for data-intensive tasks like AI, data science, and 3D modeling.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 435.875px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-display-gaming-no-bezel-ffffff_1.svg?v=1755494759\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eMax-Q\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003ePacking a 300W punch into an ultra-efficient design, the RTX PRO 6000 Max-Q redefines high-density workstation performance. Optimized for energy and space efficiency, it enables up to 4 GPUs in a single system, delivering unmatched scalability for AI training, 3D rendering, and complex simulations.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eWorkloads\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003eMulti-Workload Acceleration\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Screenshot_10-9-2025_11726_www.nvidia.com_44356250-de63-48c2-b2c2-734d143d9180.jpg?v=1757483235\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eSpecifications \u003c\/span\u003e\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; text-align: left;\" cellpadding=\"8\" cellspacing=\"0\" border=\"1\"\u003e\n\u003cthead\u003e\n\u003ctr style=\"background-color: #f2f2f2;\"\u003e\n\u003cth style=\"text-align: center;\"\u003eSpecification\u003c\/th\u003e\n\u003cth style=\"text-align: center;\"\u003eDetails\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVIDIA Architecture\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVIDIA Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eAI TOPS\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e3511\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eTensor Cores\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e5th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eRay Tracing Cores\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVIDIA Encoder (NVENC)\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4x 9th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVIDIA Decoder (NVDEC)\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4x 6th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eMemory Configuration\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e96GB GDDR7 with error-correcting code (ECC)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1792 GB\/sec\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eMax Power Consumption\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e300 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eSystem Requirements\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; text-align: left; width: 100%;\" cellpadding=\"8\" cellspacing=\"0\" border=\"1\"\u003e\n\u003cthead\u003e\n\u003ctr style=\"background-color: #f2f2f2;\"\u003e\n\u003cth style=\"text-align: center;\"\u003eCategory\u003c\/th\u003e\n\u003cth style=\"text-align: center;\"\u003eDetails\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"6\" style=\"text-align: center;\"\u003e\u003cb\u003eSystem Requirements\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eIntel Core i5, i7, i9, or Xeon processor or later\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eAMD Ryzen or Epyc class processor or later\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003ePCI Express 5.0 x16 (preferred) expansion slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eSystem memory ≥ GPU memory (2× GPU memory recommended)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eInternet connection for driver installation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eDisplayPort 2.1 (preferred), HDMI®, or DVI-compatible display(s)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"8\" style=\"text-align: center;\"\u003e\u003cb\u003eSupported Platforms\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eMicrosoft Windows 11 (64-bit)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eMicrosoft Windows 10 (64-bit)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eRed Hat Enterprise Linux 7.x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eSUSE Linux Enterprise Desktop 15.x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eFedora 31\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eUbuntu 18.04\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eFreeBSD 11.x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eSolaris 11\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDownload \u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; font-family: system-ui, -apple-system, Segoe UI, Roboto, Arial, sans-serif;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center;\"\u003eDatasheet\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center;\"\u003e\u003ca rel=\"noopener\" title=\"Datasheet RTX6000\" href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/workstation-datasheet-blackwell-rtx-pro-6000-max-q-nvidia-3519233.pdf?v=1757482383\" target=\"_blank\"\u003e\u003cem\u003eDownload\u003c\/em\u003e\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePackage Contains\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e1x NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition Professional Graphics Card\u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e1x Auxiliary Power Cable\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":50726512525629,"sku":"SBC5001","price":1828999.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/NVIDIA-RTX-PRO-6000-Blackwell-Max-Q-Workstation-Edition-3QTR-Top-Left-Icons.png?v=1757483154"},{"product_id":"nvidia-jetson-agx-thor-developer-kit","title":"NVIDIA Jetson AGX Thor Developer Kit","description":"\u003ch2 style=\"text-align: center;\"\u003eNVIDIA Jetson Thor\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003eThe ultimate platform for physical AI and robotics.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/AGX-THOR2_jpg_effa758b-309d-491a-a606-721f74489fed.webp?v=1759570665\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eA Compact Powerhouse for Advanced AI and Robotics\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eNVIDIA Jetson Thor series modules give you the ultimate platform for physical AI and robotics, delivering up to 2070 FP4 TFLOPS of AI compute and 128 GB of memory with power configurable between 40 W and 130 W. They deliver over 7.5x higher AI compute than NVIDIA AGX Orin, with 3.5x better energy efficiency, enabling real-time multimodal perception, decision-making, and control, all for accelerating the development of intelligent, responsive, and highly sophisticated robotic systems.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eFeature\u003c\/h2\u003e\n\u003ctable cellpadding=\"10\" cellspacing=\"0\" border=\"1\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eExtreme AI Performance for Robotics\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ePowered by Jetson T5000 module with a Blackwell GPU (2560 cores, 96 Tensor Cores), delivering up to \u003cstrong\u003e2070 FP4 \/ 1035 FP8 TFLOPS \u003c\/strong\u003eIdeal for running generative AI models like LLMs, VLA (e.g., NVIDIA® Isaac™ GR00T N), ViT, and more.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eTransformer \u0026amp; Multimodal Optimization\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eBuilt-in Transformer Engine and MIG (Multi-Instance GPU) support with \u003cstrong\u003e128 GB LPDDR5X (273 GB\/s)\u003c\/strong\u003e memory\u003cbr\u003eEnables efficient training and inference of transformer and multimodal models at the edge.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eReal-Time Processing\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eEquipped with a \u003cstrong\u003e14-core Arm® Neoverse®-V3AE CPU\u003c\/strong\u003e\u003cbr\u003eDesigned for fast, deterministic real-time control in robotic applications.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eSensor \u0026amp; Network Integration\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eSupports \u003cstrong\u003eup to 4× 25GbE\u003c\/strong\u003e high-speed connections\u003cbr\u003e140W power supply, and versatile I\/O including HDMI, DP, USB 3.2 \/ USB-C, CAN, and GbE Ideal for high-bandwidth, low-latency real-time sensor fusion and communication.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/image-kit.webp?v=1759562965\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eBenefits\u003c\/h2\u003e\n\u003ch4 style=\"text-align: center;\"\u003eBlackwell GPU, Sensor Processing, and Robotic AI Software Stack\u003c\/h4\u003e\n\u003ctable style=\"width: 90%; margin: auto; height: 547.699px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 318.068px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 50.0146%; height: 318.068px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-foundational-model-cognition.svg?v=1759567589\" alt=\"\" width=\"84\" height=\"84\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eSupercomputer for Humanoids\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eAccelerate generative AI and large transformer models at the edge with the 2070 FP4 TFLOPS Blackwell GPU.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 49.7943%; height: 318.068px;\"\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-speed.svg?v=1759567589\" alt=\"\" width=\"84\" height=\"84\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHigh-Speed Sensor Processing\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eIngest high-speed sensor data for real-time performance with 4x 25 GbE networking, a camera offload engine, and a Holoscan Sensor Bridge.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 229.631px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 50.0146%; height: 229.631px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-robot-mimic.svg?v=1759567589\" alt=\"\" width=\"84\" height=\"84\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eRobotic AI Software\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eDiscover a solution designed for humanoid robotics and physical AI applications, powered by the NVIDIA Isaac™ platform and GR00T foundational models.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 49.7943%; height: 229.631px;\"\u003e\n\u003cdiv style=\"text-align: start;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-containerized-security.svg?v=1759567589\" alt=\"\" width=\"84\" height=\"84\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cstrong\u003eRobust Security\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eDeliver end-to-end safety and security across the compute platform, AI models, and the entire edge-to-cloud pipeline.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eSpecification\u003c\/h2\u003e\n\u003ctable cellpadding=\"8\" cellspacing=\"0\" border=\"1\" style=\"width: 100.065%; height: 1459.35px;\"\u003e\n\u003cthead\u003e\n\u003ctr style=\"height: 39.2045px;\"\u003e\n\u003cth style=\"text-align: center; width: 15.408%; height: 39.2045px;\"\u003eSpecification\u003c\/th\u003e\n\u003cth style=\"text-align: center; width: 26.3461%; height: 39.2045px;\"\u003eJetson AGX Thor Developer Kit\u003c\/th\u003e\n\u003cth style=\"text-align: center; width: 22.7251%; height: 39.2045px;\"\u003eJetson T5000\u003c\/th\u003e\n\u003cth style=\"text-align: center; width: 24.4014%; height: 39.2045px;\"\u003eJetson T4000\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 39.2045px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 39.2045px;\"\u003e\u003cstrong\u003eAI Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 39.2045px;\"\u003e2070 TFLOPS (FP4—Sparse)\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 22.7251%; height: 39.2045px;\"\u003e2070 TFLOPS (FP4—Sparse)\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 24.4014%; height: 39.2045px;\"\u003e1200 TFLOPS (FP4—Sparse)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78.4091px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 78.4091px;\"\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 78.4091px;\"\u003e2560-core Blackwell GPU with 96 Tensor Cores\u003cbr\u003eMIG with 10 TPCs\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 22.7251%; height: 78.4091px;\"\u003e2560-core Blackwell GPU with 96 Tensor Cores\u003cbr\u003eMIG with 10 TPCs\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 24.4014%; height: 78.4091px;\"\u003e1536-core Blackwell GPU with 64 Tensor Cores\u003cbr\u003eMIG with 6 TPCs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2045px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 39.2045px;\"\u003e\u003cstrong\u003eGPU Max Frequency\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"3\" style=\"text-align: center; width: 73.4726%; height: 39.2045px;\"\u003e1.57 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78.4091px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 78.4091px;\"\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 78.4091px;\"\u003e14-core Arm® Neoverse®-V3AE\u003cbr\u003e1 MB L2\/core, 16 MB shared L3\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 22.7251%; height: 78.4091px;\"\u003e14-core Arm® Neoverse®-V3AE\u003cbr\u003e1 MB L2\/core, 16 MB shared L3\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 24.4014%; height: 78.4091px;\"\u003e12-core Arm® Neoverse®-V3AE\u003cbr\u003e1 MB L2\/core, 16 MB shared L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2045px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 39.2045px;\"\u003e\u003cstrong\u003eCPU Max Frequency\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"3\" style=\"text-align: center; width: 73.4726%; height: 39.2045px;\"\u003e2.6 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2045px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 39.2045px;\"\u003e\u003cstrong\u003eVision Accelerator\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"3\" style=\"text-align: center; width: 73.4726%; height: 39.2045px;\"\u003e1× PVA v3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2045px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 39.2045px;\"\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 39.2045px;\"\u003e128 GB LPDDR5X, 256-bit, 273 GB\/s\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 22.7251%; height: 39.2045px;\"\u003e128 GB LPDDR5X, 256-bit, 273 GB\/s\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 24.4014%; height: 39.2045px;\"\u003e64 GB LPDDR5X, 256-bit, 273 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78.4091px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 78.4091px;\"\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 49.0713%; height: 78.4091px;\"\u003e1 TB NVMe M.2 Key M \u003cspan\u003eSlot\u003c\/span\u003e\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 24.4014%; height: 78.4091px;\"\u003e\n\u003cspan\u003eSupports NVMe through PCIe\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003eSupports SSD through USB3.2\u003c\/span\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.8068px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 58.8068px;\"\u003e\u003cstrong\u003eVideo Encode\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"3\" style=\"text-align: center; width: 73.4726%; height: 58.8068px;\"\u003e• 6× 4Kp60 (H.265), 12× 4Kp30 (H.265)\u003cbr\u003e• 24× 1080p60 (H.265), 50× 1080p30 (H.265)\u003cbr\u003e• 48× 1080p30 (H.264), 6× 4Kp60 (H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.8068px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 58.8068px;\"\u003e\u003cstrong\u003eVideo Decode\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"3\" style=\"text-align: center; width: 73.4726%; height: 58.8068px;\"\u003e• 4× 8Kp30, 10× 4Kp60, 22× 4Kp30 (H.265)\u003cbr\u003e• 46× 1080p60, 92× 1080p30 (H.265)\u003cbr\u003e• 82× 1080p30, 4× 4Kp60 (H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 208.409px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 208.409px;\"\u003e\u003cstrong\u003eCamera Support\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"3\" style=\"text-align: center; width: 73.4726%; height: 208.409px;\"\u003e\n\u003cp\u003e\u003cstrong\u003eJetson AGX Thor Developer Kit\u003cbr\u003eJetson T5000\u003c\/strong\u003e\u003cbr\u003e• HSB camera via QSFP\u003cbr\u003e• USB camera\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eJetson T4000\u003c\/strong\u003e\u003cbr\u003e• Up to 20 cameras via HSB\u003cbr\u003e• Up to 6 via 16x lanes MIPI CSI-2\u003cbr\u003e• Up to 32 using Virtual Channels\u003cbr\u003e• C-PHY 2.1 (10.25 Gbps), D-PHY 2.1 (40 Gbps)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 98.0114px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 98.0114px;\"\u003e\u003cstrong\u003ePCIe\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 49.0713%; height: 98.0114px;\"\u003e• M.2 Key M (x4 Gen5), M.2 Key E (x1 Gen5)\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 24.4014%; height: 98.0114px;\"\u003e• Up to Gen5 (x8 lanes)\u003cbr\u003e• Root Port: C1 (x1), C3 (x2)\u003cbr\u003e• Root\/Endpoint: C2 (x1), C4 (x8), C5 (x4)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.8068px;\"\u003e\n\u003ctd style=\"width: 15.408%; height: 58.8068px;\"\u003e\u003cstrong\u003eUSB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 58.8068px;\"\u003e• 2× USB-A (3.2 Gen2)\u003cbr\u003e• 2× USB-C (3.1)\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 47.1265%; height: 58.8068px;\"\u003e• xHCI host controller\u003cbr\u003e• 3× USB 3.2\u003cbr\u003e• 4× USB 2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2045px;\"\u003e\n\u003ctd style=\"width: 15.408%; height: 39.2045px;\"\u003e\u003cstrong\u003eNetworking\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 39.2045px;\"\u003e1× 5 GbE RJ45\u003cbr\u003e1× QSFP28 (4× 25 GbE)\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 22.7251%; height: 39.2045px;\"\u003e4× 25 GbE\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 24.4014%; height: 39.2045px;\"\u003e3× 25 GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2045px;\"\u003e\n\u003ctd style=\"width: 15.408%; height: 39.2045px;\"\u003e\u003cstrong\u003eDisplay\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 39.2045px;\"\u003e1× HDMI 2.0b\u003cbr\u003e1× DisplayPort 1.4a\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 47.1265%; height: 39.2045px;\"\u003e4× HDMI 2.1 shared\u003cbr\u003eVESA DP 1.4a (HBR2, MST)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 310.028px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 310.028px;\"\u003e\u003cstrong\u003eOther I\/O\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 310.028px;\"\u003e\n\u003cp\u003e• QSFP connector\u003cbr\u003e• M.2 Key E: WLAN\/BT, PCIe, USB2.0, UART, I2C, I2S\u003cbr\u003e• M.2 Key M: NVMe\u003cbr\u003e• PCIe x4, x2 lanes, I2C\u003cbr\u003e• 2× CAN headers, automation headers, LED, JTAG\u003cbr\u003e• 1x fan connector —12V, PWM, and Tach\u003cbr\u003eAudio panel header (2x 5-pin)\u003cbr\u003eMicrofit power jack\u003cbr\u003eRTC backup battery connector 2-pin\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 22.7251%; height: 310.028px;\"\u003e• 5× I2S \/ 2× AHUB\u003cbr\u003e• 2× DMIS\u003cbr\u003e• 4× UART, 4× CAN\u003cbr\u003e• 3× SPI, 13× I2C, 6× PWM\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 24.4014%; height: 310.028px;\"\u003e• 5× I2S \/ 2× AHUB\u003cbr\u003e• 2× DMIS\u003cbr\u003e• 4× UART\u003cbr\u003e• 3× SPI, 13× I2C, 6× PWM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6023px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 19.6023px;\"\u003e\u003cstrong\u003ePower\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 19.6023px;\"\u003e40 W – 130 W\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 22.7251%; height: 19.6023px;\"\u003e40 W – 130 W\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 24.4014%; height: 19.6023px;\"\u003e40 W – 70 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 98.0114px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 98.0114px;\"\u003e\u003cstrong\u003eMechanical\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 98.0114px;\"\u003e243.19 mm x 112.40 mm x 56.88 mm\u003cbr\u003eThermal Transfer Plate (TTP) and optional fan or heat sink\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 47.1265%; height: 98.0114px;\"\u003e100 mm x 87 mm\u003cbr\u003e699-pin B2B connector\u003cbr\u003eIntegrated Thermal Transfer Plate (TTP) with heatpipe\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e* \u003c\/span\u003eRefer to the Software Features section of the latest NVIDIA Jetson Linux Developer Guide for a list of supported features.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e**\u003c\/span\u003e Low-speed I\/O spec is subject to change.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eApplication\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/image_app-1.webp?v=1759563172\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/image-app-2.webp?v=1759563172\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/image-app-3.webp?v=1759563172\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/image-app-4.webp?v=1759563171\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eGet Started with NVIDIA Jetson Thor\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eThe Jetson Thor AGX Developer Kit delivers unmatched performance and scalability for humanoids and physical AI. This video showcases its key features, specifications, and components, as well as how to power it on and initiate first boot. It also demonstrates some of the latest workflows, including Isaac GR00T N1, Video Search and Summarization (VSS), and NVIDIA Holoscan Sensor Bridge.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/jetson-thor-technical-brief.pdf?v=1759567474\" target=\"_blank\"\u003e\u003cstrong\u003eRead the Technical Brief\u003c\/strong\u003e\u003c\/a\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ciframe title=\"Getting Started with the NVIDIA Jetson AGX Thor Developer Kit for Physical AI\" src=\"https:\/\/www.youtube.com\/embed\/iYT2haVIgSM\" height=\"355\" width=\"630\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDownload\u003c\/h2\u003e\n\u003ctable width=\"100%\" style=\"width: 100%; height: 28.5938px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 28.5938px;\"\u003e\n\u003ctd style=\"width: 66.065%; height: 28.5938px;\"\u003eDatasheet\u003c\/td\u003e\n\u003ctd style=\"width: 33.574%; text-align: right; height: 28.5938px;\"\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Thor_Datasheet_f01b914b-d1d1-4c72-bfa8-0bb91b97c78d.pdf?v=1759569289\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePackage Includes:\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e1 x NVIDIA Jetson AGX Thor Developer Kit\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":50814727913789,"sku":"SBC1131","price":622499.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/image-kit-3_1.webp?v=1759568024"},{"product_id":"nvidia-dgx-spark","title":"NVIDIA DGX Spark","description":"\u003cblockquote\u003e\n\u003ch2 style=\"text-align: center;\"\u003eNVIDIA DGX Spark\u003c\/h2\u003e\n\u003c\/blockquote\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(123, 194, 61);\"\u003e\u003cstrong\u003eA Grace Blackwell AI supercomputer on your desk.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003ePowered by the NVIDIA GB10 Grace Blackwell Superchip, NVIDIA DGX™ Spark delivers one petaFLOP1 of AI performance in a power-efficient, compact form factor. With the NVIDIA AI software stack preinstalled and 128 GB of memory, developers can prototype, fine-tune, and inference the latest generation of reasoning AI models from DeepSeek, Meta, NVIDIA, Google, Qwen and others with up to 200 billion parameters locally.\u003c\/p\u003e\n\u003cblockquote\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003eBuy either single or dual with free certified QSFP56 Cable (0.5m). Delivery starts from January 25, 2026 - buy yours today.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/blockquote\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/SPARK-FRONT_b0e25269-39ba-404a-a0b0-824871b9fc0a.png?v=1763456331\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eFeatures\u003c\/h2\u003e\n\u003ch3 style=\"text-align: center;\"\u003eNVIDIA GPU, CPU, Networking, and AI Software Technologies\u003c\/h3\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 195.938px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 97.9688px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 97.9688px; text-align: center;\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-gh200-ffffff_1.svg?v=1763450000\" alt=\"\" width=\"80\" height=\"80\"\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eNVIDIA GB10 Superchip\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eExperience up to  1 petaFLOP  of AI performance at FP4 precision with the NVIDIA Grace Blackwell architecture.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 97.9688px; text-align: center;\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-ram-memory-ffffff_1.svg?v=1763450000\" alt=\"\" width=\"80\" height=\"80\"\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e128 GB of Coherent Unified System Memory\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eRun AI development and testing workloads with AI models up to 200 billion parameters at your desktop with a large, unified system memory.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 97.9688px; text-align: center;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 97.9688px;\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cimg style=\"display: block; margin-left: auto; margin-right: auto;\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-cx-7-chip-ffffff_1.svg?v=1763449999\" alt=\"\" width=\"80\" height=\"80\"\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eNVIDIA ConnectX Networking\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eHigh-performance NVIDIA ConnectX™ networking enables the connection of two NVIDIA DGX Spark systems to work with AI models of up to 405 billion parameters.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 97.9688px;\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cimg style=\"display: block; margin-left: auto; margin-right: auto;\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-nim-ffffff_2.svg?v=1763450000\" alt=\"\" width=\"80\" height=\"80\"\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eNVIDIA AI Software Stack\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eUtilize a full-stack solution for generative AI workloads, encompassing NVIDIA tools, frameworks, libraries, and pre-trained models including NVIDIA NIM.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eWorkloads\u003c\/h2\u003e\n\u003ch3 style=\"text-align: center;\"\u003eAccelerate All AI Workloads\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003eDelivering the power of an AI supercomputer in a desktop-friendly size, NVIDIA DGX Spark is ideal for AI developer, researcher, and data scientist workloads.\u003c\/p\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 100%;\" colspan=\"2\"\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(123, 194, 61);\"\u003ePrototyping\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eDevelop, test, and validate AI models and applications.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eWith the NVIDIA AI software stack, NVIDIA DGX Spark provides the platform for developers to create, test, and validate AI models and AI-augmented applications and solutions. For final tuning or deployment, conveniently evaluate work for eventual migration to NVIDIA DGX cloud or other NVIDIA accelerated data centers or cloud infrastructures.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 50%;\"\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(123, 194, 61);\"\u003eFine-Tuning\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eFine-tune AI models up to 70 billion parameters.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eImprove the performance of pre-trained models by fine-tuning on NVIDIA DGX Spark. With 128GB of unified system memory, fine-tune models up to 70 billion parameters to customize AI models and solutions for specific needs and use cases.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 50%;\"\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(123, 194, 61);\"\u003eInference\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eTest, validate, and inference with AI models.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eFifth-generation Tensor Cores with support for FP4 deliver up to 1 petaFLOP of AI computing performance, combined with 128GB of system memory, accelerate inference of state-of-the-art AI models to test, validate and deploy from your NVIDIA DGX Spark.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 50%;\"\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(123, 194, 61);\"\u003eData Science\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eHigh-performance data science at your desk.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eNVIDIA DGX Spark’s combination of 128GB of unified memory and 1 petaFLOP of parallel throughput maximizes performance of large, computationally complex data analytics and machine learning workflows at your desk.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 50%;\"\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(123, 194, 61);\"\u003eEdge Applications\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eDevelop edge applications with NVIDIA AI frameworks.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eNVIDIA DGX Spark offers an exceptional platform for developing robotics, smart city, and computer vision solutions. NVIDIA frameworks include Isaac, Metropolis, and Holoscan. These frameworks and tools enable developers to take advantage of the power of NVIDIA DGX Spark to quickly develop edge applications.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eNVIDIA DGX Spark Software\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eNVIDIA DGX Spark software stack accelerates AI and deep learning workloads while streamlining prototyping and development. It provides a scalable foundation for AI initiatives, enabling developers to harness NVIDIA’s powerful infrastructure to drive innovation and achieve transformative results.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/developer.nvidia.com\/topics\/ai\/dgx-spark\" target=\"_blank\"\u003eLearn More \u0026gt;\u003c\/a\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eSignificant Features and Benefits\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/webp_nvidia_project_digits_exploded_vew.jpg?v=1763450172\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eA Grace Blackwell AI supercomputer on Your Desk\u003c\/h2\u003e\n\u003ch4 style=\"text-align: center;\"\u003e1. Based on NVIDIA Grace Blackwell Architecture\u003c\/h4\u003e\n\u003cp style=\"text-align: center;\"\u003eAt the heart of DGX Spark is the new GB10 Grace Blackwell Superchip, based on the Grace Blackwell architecture and optimized for a desktop form factor. GB10 features a powerful Blackwell GPU with fifth-generation Tensor Cores and FP4 support, delivering up to 1000 AI TOPS of compute. GB10 also includes a high-performance Grace 20-core Arm CPU to supercharge data preprocessing and orchestration, speeding up model tuning and real-time inferencing. The GB10 Superchip uses the NVLink™-C2C to deliver a CPU+GPU coherent memory model with 5X the bandwidth of PCIe Gen 5.\u003c\/p\u003e\n\u003ch4 style=\"text-align: center;\"\u003e2. Work With the Latest Generation of Large-Parameter Generative AI Models\u003c\/h4\u003e\n\u003cp style=\"text-align: center;\"\u003eWith 128 GB of unified system memory and support for the FP4 data format, DGX Spark can support AI models of up to 200B parameters, enabling AI developers to prototype, fine-tune and inference the latest generation of AI reasoning models—such as DeepSeek R1 distilled versions up to 70 billion parameters—on their desktop. With built-in NVIDIA ConnectX™ network technology, two DGX Spark systems can be connected to work on even larger models such as Llama 3.1 405B.\u003c\/p\u003e\n\u003ch4 style=\"text-align: center;\"\u003e3. Develop Locally, Deploy Anywhere at Scale\u003c\/h4\u003e\n\u003cp style=\"text-align: center;\"\u003eDGX Spark provides developers with a powerful, experimentation ground for prototyping models and AI applications, freeing up valuable compute resources in their cluster environments better suited for training and deploying production models. Leveraging the NVIDIA AI platform software architecture makes it possible for DGX Spark users to seamlessly move their models from their desktop to DGX Cloud or any accelerated cloud or data center infrastructure with virtually no code changes, making it easier than ever to prototype, fine-tune, and iterate.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eSpecifications\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eArchitecture\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003eNVIDIA Grace Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eGPU\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003eBlackwell Architecture\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eCPU\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eCUDA Cores\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003eBlackwell Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eTensor Cores\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e5th Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eRT Cores\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e4th Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eTensor Performance\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e1 PFLOP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eSystem Memory\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e128 GB LPDDR5x, coherent unified system memory\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eMemory Interface\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e256-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e273 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eStorage\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e4 TB NVME.M2 with self-encryption\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eUSB\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e4x USB TypeC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eEthernet\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e1x RJ-45 connector, 10 GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eNIC\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003eConnectX-7 NIC @ 200 Gbps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eWi-Fi\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003eWiFi 7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eBluetooth\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003eBT 5.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eAudio-output\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003eHDMI multichannel audio output\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003ePower Supply\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e240 Watts\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eDisplay Connectors\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e1x HDMI 2.1a\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eNVENC | NVDEC\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e1x | 1x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eOS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003eNVIDIA DGX™ OS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eSystem Dimensions\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e150 mm L × 150 mm W × 50.5 mm H\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eSystem Weight\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e1.2 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cem\u003e* preliminary specifications, subject to change. 1 Theoretical FP4 TOPS using the sparsity feature.\u003c\/em\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eResources\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eDatasheet\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/workstation-datasheet-dgx-spark-gtc25-spring-nvidia-us-3716899-web.pdf?v=1763452160\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePackage Contains\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 49.1876px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5938px; text-align: center;\"\u003eNVIDIA® DGX Spark™\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5938px; text-align: center;\"\u003eQuick Start Card\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 10px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 10px; text-align: center;\"\u003eSupport Card\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 0px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 0px; text-align: center;\"\u003ePower Supply\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Single Unit","offer_id":51141865308477,"sku":"SBC1142","price":549999.99,"currency_code":"INR","in_stock":true},{"title":"Dual Unit with 200G QSFP56 Cable","offer_id":51141865341245,"sku":"SBC1142-D","price":1110999.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/SPARK-3QTR-Right.png?v=1763456416"},{"product_id":"thinkrobotics-edge-ai-device-with-nvidia-jetson-orin™-nx-8gb-16gb-module-dual-ethernet","title":"ThinkRobotics Edge AI Device with NVIDIA Jetson Orin NX 8GB \/ 16GB module (Dual Ethernet)","description":"\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003ch2 style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003eThinkRobotics Edge AI Device with NVIDIA Jetson Orin™ NX 8GB \/ 16GB module (Dual Ethernet)\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003eThinkRobotics Edge AI Device is built with Jetson Orin NX 8GB or 16GB - a powerful and compact intelligent edge box to bring up to 100 TOPS modern AI performance to the edge, which offers up to 5X the performance of Jetson Xavier NX and up to 3X the performance of Jetson AGX Xavier. Combining the NVIDIA Ampere™ GPU architecture with 64-bit operating capability, Orin NX integrates advanced multi-function video and image processing, and NVIDIA Deep Learning Accelerators.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eThe full system includes one NVIDIA Jetson Orin™ NX 8GB or 16GB production module, the \u003cmeta charset=\"utf-8\"\u003eWaveshare \u003ca href=\"https:\/\/www.waveshare.com\/wiki\/Jetson_Orin_Nano\" target=\"_blank\"\u003eJetson Orin IO Base B carrier board\u003c\/a\u003e, a \u003ca href=\"https:\/\/thinkrobotics.com\/products\/official-cooling-fan-for-jetson-orin-online\" target=\"_blank\"\u003eheatsink\u003c\/a\u003e, RTL8822CE Wireless NIC - Wi-Fi, and a power adapter installed in a 3D printed carbon fiber case or metal case. The device is preinstalled with JetPack 6.2.2 on the included 240GB NVMe SSD, simplifies development, and fits for deployment for edge AI solution providers working in video analytics, object detection, natural language processing, medical imaging, and robotics across industries of smart cities, security, industrial automation, smart factories.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2 style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eFeatures\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003e\u003cstrong\u003eAI Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003eOn-device processing with up to 100 TOPS AI performance, delivering low power consumption and low latency for production deployments.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003e\u003cstrong\u003eForm Factor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003eHand-size edge AI device (130mm × 120mm × 58.5mm) with NVIDIA Jetson Orin™ NX 16GB\/8GB module, integrated cooling fan with heatsink, enclosure, and power adapter. Supports desktop placement and wall mounting.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003e\u003cstrong\u003eI\/O Interfaces\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003e3× USB 3.2 Gen2, 1× USB 2.0, DisplayPort (4K), 2× CSI camera ports, 1× Gigabit Ethernet + 1× 2.5 Gigabit Ethernet (dual LAN), M.2 Key E (Wi-Fi), M.2 Key M (NVMe), CAN, and GPIO.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003e\u003cstrong\u003eSoftware \u0026amp; Storage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003ePre-installed NVIDIA JetPack™ 5.1 on 240GB NVMe SSD, includes Linux BSP with support for Jetson ecosystem, AI frameworks, and software platforms.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003e\u003cstrong\u003eCertifications\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003eFCC, CE, and RoHS certified.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eDescription\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003eWith rich extension modules, industrial peripherals, and thermal management, this ThinkRobotics device for Jetson is ready to help you accelerate and scale the next-gen AI product by deploying popular DNN models and ML frameworks to the edge and inferencing with high performance, for tasks like real-time classification and object detection, pose estimation, semantic segmentation, and natural language processing (NLP).\u003c\/p\u003e\n\u003cp style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.13 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eWe have prepared abundant \u003ca href=\"https:\/\/www.waveshare.com\/wiki\/Jetson_Orin_Nano\" target=\"_blank\"\u003eguides\u003c\/a\u003e to get started with NVIDIA Jetson using leading AI frameworks and software. For example, with \u003ca href=\"https:\/\/developer.nvidia.com\/tensorrt\" target=\"_blank\"\u003eDeepstream and TensorRT\u003c\/a\u003e, developers can deploy custom YOLOv5 models on Jetson Orin at over 100FPS\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.13 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.13 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eDevelopers Tools\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch3 style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003ePre-installed Jetpack for fast development and edge AI integration\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/develop\/software\" target=\"_blank\"\u003eJetson software stack\u003c\/a\u003e begins with NVIDIA JetPack™ SDK which provides a full development environment and includes CUDA-X accelerated libraries and other NVIDIA technologies to kickstart your development. JetPack includes the Jetson Linux Driver package which provides the Linux kernel, bootloader, NVIDIA drivers, flashing utilities, sample filesystem, and toolchains for the Jetson platform. It also includes security features, over-the-air update capabilities, and much more.\u003c\/p\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 470.25px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003eCategory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003ePlatform \/ Tool\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003eDescription\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 293.906px;\" rowspan=\"7\"\u003e\u003cstrong\u003eComputer Vision \u0026amp; Embedded ML\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eNVIDIA DeepStream SDK\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003eStreaming analytics toolkit for AI-based multi-sensor processing, video, and image understanding on Jetson.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eNVIDIA TAO Toolkit\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003eLow-code framework built on TensorFlow and PyTorch to accelerate AI model training.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003ealwaysAI\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003ePlatform to build, train, and deploy computer vision applications with access to 100+ pre-trained models.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 58.7812px;\"\u003e\u003cstrong\u003eEdge Impulse\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 58.7812px;\"\u003eEmbedded ML pipeline for deploying audio, classification, and object detection applications with minimal cloud dependency.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eRoboflow\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003eToolchain for converting images into custom-trained computer vision models and deploying them on Jetson.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eYOLOv5 (Ultralytics)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003eLightweight object detection model supporting transfer learning with minimal training data.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eDeci\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003ePlatform to benchmark and optimize runtime performance of AI models on NVIDIA Jetson devices.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eSpeech AI\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eNVIDIA Riva\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003eGPU-accelerated SDK for building real-time, customizable speech AI applications.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eRemote Fleet Management\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eAllxon\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003eSecure OTA updates and remote device management platform.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 78.375px;\" rowspan=\"2\"\u003e\u003cstrong\u003eRobot \u0026amp; ROS Development\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eNVIDIA Isaac ROS\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003eHardware-accelerated ROS packages for building high-performance robotics applications on NVIDIA platforms.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eCogniteam Nimbus\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003eCloud-based platform for managing and deploying autonomous robots with Jetson and Isaac support.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eHardware Overview\u003c\/h2\u003e\n\u003ch3 style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eDual Ethernet \u0026amp; Interface-rich Carrier Board\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eThe Waveshare carrier board (Base B) is a high-performance, interface-rich board, providing DisplayPort (4K), Dual Ethernet (1x GbE + 1x 2.5GbE), 3x USB 3.2 Gen 2, 1x USB 2.0, M.2 key E, M.2 key M, CSI camera, CAN, GPIO, I2C, I2S, fan, and other rich peripheral interfaces.\u003c\/p\u003e\n\u003cp\u003e\u003cimg style=\"display: block; margin-left: auto; margin-right: auto;\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/9_49f37cfe-1ace-4c08-bec3-f5ec00312b91.jpg?v=1765009615\" alt=\"\"\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 333.094px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e\u003cstrong\u003eModule Socket\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e260-pin SO-DIMM socket for connecting Jetson Orin Nano \/ Orin NX modules\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e\u003cstrong\u003eControl Header\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e12-pin header supporting power button, reset button, debug serial port, force recovery, auto power-up enable, and power indicator\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e\u003cstrong\u003ePower\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003ePower button; DC jack supporting 9V–19V input, compatible with 5.5 × 2.5mm plug\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003e\u003cstrong\u003eCamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003e2 × 22-pin CSI camera interfaces\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003e\u003cstrong\u003eDisplay\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003eDisplayPort supporting up to 4K output\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e\u003cstrong\u003eUSB (Type-A)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e4 × USB Type-A ports: 3 × USB 3.2 Gen2 (up to 10Gbps), 1 × USB 2.0 (up to 480Mbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003e\u003cstrong\u003eEthernet\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003e1 × RJ45 2.5G Ethernet port, 1 × RJ45 Gigabit Ethernet port\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003e\u003cstrong\u003eUSB (Type-C)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003eUSB Type-C port for system flashing and data communication\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e\u003cstrong\u003eInternal Headers\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e40-pin header; 4-pin PWM fan header\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003e\u003cstrong\u003eInternal USB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003e2 × USB 2.0 connectors\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e\u003cstrong\u003eFFC Connectors\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e0.5mm pitch, 6-pin FFC connectors\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePart List\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 137.157px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px; text-align: center;\"\u003e\n\u003ctd style=\"border: 1px solid black; width: 74.5555%; height: 19.5938px; text-align: center;\"\u003eNVIDIA Jetson Orin™ NX 8GB \/ 16GB\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; width: 25.4445%; height: 19.5938px; text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px; text-align: center;\"\u003e\n\u003ctd style=\"border: 1px solid black; width: 74.5555%; height: 19.5938px; text-align: center;\"\u003eWaveshare Carrier Board (Base B) - Dual Ethernet\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; width: 25.4445%; height: 19.5938px; text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px; text-align: center;\"\u003e\n\u003ctd style=\"border: 1px solid black; width: 74.5555%; height: 19.5938px; text-align: center;\"\u003e240GB NVMe SSD\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; width: 25.4445%; height: 19.5938px; text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px; text-align: center;\"\u003e\n\u003ctd style=\"border: 1px solid black; width: 74.5555%; height: 19.5938px; text-align: center;\"\u003eOfficial Cooling Fan for Jetson Orin\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; width: 25.4445%; height: 19.5938px; text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px; text-align: center;\"\u003e\n\u003ctd style=\"border: 1px solid black; width: 74.5555%; height: 19.5938px; text-align: center;\"\u003e3D Printed Case \/ Aluminium Case\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; width: 25.4445%; height: 19.5938px; text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px; text-align: center;\"\u003e\n\u003ctd style=\"border: 1px solid black; width: 74.5555%; height: 19.5938px; text-align: center;\"\u003eWi-Fi Module with Antenna\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; width: 25.4445%; height: 19.5938px; text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid black; width: 74.5555%; height: 19.5938px; text-align: center;\"\u003e12V \/ 5A Power Adapter\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; width: 25.4445%; height: 19.5938px; text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: left;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDocumentations\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-IO-BASE-B\" rel=\"noopener\" target=\"_blank\"\u003eWaveshare Jetson Orin IO Base B Wiki\u003c\/a\u003e\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"8GB \/ 3D Printed Plastic","offer_id":51132269297981,"sku":"SBC1146-8","price":104649.99,"currency_code":"INR","in_stock":true},{"title":"8GB \/ Aluminium","offer_id":51132269330749,"sku":"SBC1146-8A","price":107649.99,"currency_code":"INR","in_stock":true},{"title":"16GB \/ 3D Printed Plastic","offer_id":51132269363517,"sku":"SBC1146-16","price":145199.99,"currency_code":"INR","in_stock":true},{"title":"16GB \/ Aluminium","offer_id":51132269396285,"sku":"SBC1146-16A","price":148199.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/DSC2605.jpg?v=1774596576"},{"product_id":"waveshare-jetson-orin-nano-nx-carrier-board-with-dual-ethernet","title":"Waveshare Jetson Orin Nano \/ NX Super Dual Ethernet Base Board","description":"\u003cdiv class=\"pdT\" style=\"text-align: center;\"\u003e\n\u003ch2 class=\"richTitle hilitColor\" style=\"text-align: center;\"\u003eJETSON-ORIN-IO-BASE-B\u003c\/h2\u003e\n\u003ch3 class=\"richDesc hilitBlock2\" style=\"text-align: center;\"\u003eWaveshare Jetson Orin Nano \/ NX Base Board\u003c\/h3\u003e\n\u003cp\u003e\u003cspan style=\"color: rgb(194, 0, 0);\"\u003e\u003cstrong\u003eBased on the Jetson Orin Nano and Jetson Orin NX modules, onboard dual Ethernet ports\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cspan\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE-B\/JETSON-ORIN-IO-BASE-B-details-1.jpg\" alt=\"Jetson Orin Nano \/ NX Super Dual Ethernet Base Board type B, front view\"\u003e\u003c\/span\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\" class=\"pdT\"\u003e\n\u003cp class=\"richTitle hilitColor\"\u003e \u003c\/p\u003e\n\u003ch2 class=\"richTitle hilitColor\"\u003eCompatible With Orin Module\u003c\/h2\u003e\n\u003cp\u003eSupports connecting to N-VIDIA Jetson Orin Nano module and Jetson Orin NX module\u003c\/p\u003e\n\u003cimg style=\"margin-bottom: 16px; float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE\/JETSON-ORIN-IO-BASE-details-2.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003cp style=\"text-align: center;\" class=\"richTitle hilitColor\"\u003e \u003c\/p\u003e\n\u003ch2 class=\"richTitle hilitColor\" style=\"text-align: center;\"\u003eConnect To CSI Camera\u003c\/h2\u003e\n\u003cp class=\"richDesc\" style=\"text-align: center;\"\u003e2× 4-Lane CSI Camera Ports For AI Applications Such As Face Recognition, \u003cbr\u003eRoad Sign Recognition And License Plate Recognition\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE-B\/JETSON-ORIN-IO-BASE-B-details-5.jpg\" alt=\"Jetson Orin Nano \/ NX Super Dual Ethernet Base Board type B, Expands 2-Lane CSI camera ports for AI applications\"\u003e\u003cbr\u003e\n\u003cp style=\"text-align: center;\" class=\"note\"\u003e\u003cspan style=\"color: #c20001;\"\u003e\u003cem\u003e* Note: the adapter cable is required for connecting the camera.\u003c\/em\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle hilitColor\"\u003e7× USB Ports\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\" class=\"hilitBlock2 round1234\"\u003e\u003cstrong\u003e\u003cspan style=\"color: rgb(194, 0, 1);\"\u003e4 × Type-A + 1 × Type-C + 2 × USB2.0 FFC connectors\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\" class=\"richDesc\"\u003eSupports connecting to more peripherals, USB 3.2 Gen 2 ports for data transmission up to 10Gbps, \u003cbr\u003eType-C port can be used for system burning, and Onboard 2 × USB 2.0 FFC connectors\u003c\/p\u003e\n\u003ch4\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE-B\/JETSON-ORIN-IO-BASE-B-details-7.jpg\" alt=\"Jetson Orin Nano \/ NX Super Dual Ethernet Base Board type B, 4 × Type-A + 1 × Type-C + 2 × USB2.0 ports\"\u003e\u003c\/h4\u003e\n\u003ch4\u003e \u003c\/h4\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\" class=\"pdT\"\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle hilitColor\"\u003e4K High Definition Output\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\" class=\"richDesc\"\u003eSupports DP High-Definition Port\u003c\/p\u003e\n\u003cimg style=\"margin-bottom: 16px; float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE\/JETSON-ORIN-IO-BASE-details-7.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003cp style=\"text-align: center;\" class=\"richTitle hilitColor\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle hilitColor\"\u003eColor-Coded 40PIN GPIO Header\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\" class=\"richDesc\"\u003e\u003cstrong\u003e\u003cspan style=\"color: #c20001;\"\u003eColor-Coded Header Pins To Differentiate IO Resources Such As \u003cbr\u003eI2C, SPI, I2S, UART, GPIO, Etc.\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cimg style=\"margin-bottom: 16px; float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE\/JETSON-ORIN-IO-BASE-details-9.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle hilitColor\"\u003e \u003c\/h2\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle hilitColor\"\u003eFlexible Storage And Wireless Expansion\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\" class=\"richDesc\"\u003e\u003cstrong\u003e\u003cspan style=\"color: #c20000;\"\u003eOnboard 2× M.2 Key M Ports For Easy Connecting Solid State Drives And 1× M.2 Key E \u003cbr\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003cstrong\u003e\u003cspan style=\"color: #c20000;\"\u003eInterface\u003c\/span\u003e\u003c\/strong\u003e\u003cstrong\u003e\u003cspan style=\"color: #c20000;\"\u003e For Connecting Wireless NIC, Which Can Reduce Cable Connection\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cimg style=\"margin-bottom: 16px; float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE\/JETSON-ORIN-IO-BASE-details-11.jpg\"\u003e\n\u003cp class=\"note\"\u003e\u003cem\u003e* for reference only, the Solid State Drive and wireless network card are NOT included.\u003c\/em\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cp\u003e \u003cbr\u003e\u003c\/p\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle hilitColor\"\u003eOnboard Resources\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE-B\/JETSON-ORIN-IO-BASE-B-details-intro-1.jpg\" alt=\"Jetson Orin Nano \/ NX Super Dual Ethernet Base Board type B, Onboard resource\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE-B\/JETSON-ORIN-IO-BASE-B-details-intro-2.jpg\" alt=\"Jetson Orin Nano \/ NX Super Dual Ethernet Base Board type B， Onboard resource (the back)\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003ctable height=\"691\" style=\"border-collapse: collapse; width: 81.25%; margin-left: auto; margin-right: auto;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; width: 49.2344%;\"\u003e\n\u003cstrong\u003e1.\u003c\/strong\u003e 260PIN DO-DIMM socket\u003cbr\u003efor connecting Jetson Orin Nano \/ NX module\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e2.\u003c\/strong\u003e 12PIN header\u003cbr\u003eAdapting pins for power button, reset button, debug serial port, force recovery setting, auto power-up enable and power indicator functions\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e3.\u003c\/strong\u003e Power button\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e4.\u003c\/strong\u003e 2 × 22PIN CSI camera interfaces\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e5.\u003c\/strong\u003e 2 × MIPI CSI 4-lane camera interfaces\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e6.\u003c\/strong\u003e DC power jack\u003cbr\u003eSupports wide range 9V ~ 19V power supply, compatible with 5.5 × 2.5mm male plug\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e7.\u003c\/strong\u003e DisplayPort port\u003cbr\u003eSupports 4K display\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; width: 50.8913%;\"\u003e\n\u003cstrong\u003e8.\u003c\/strong\u003e 4 × USB Type-A ports\u003cbr\u003e– 3 × USB 3.2 Gen2 ports, up to 10Gbps data transmission\u003cbr\u003e– 1 × USB 2.0 port, supports 480Mbps data transmission\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e9.\u003c\/strong\u003e RJ45 2.5G Ethernet port\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e10.\u003c\/strong\u003e RJ45 Gigabit Ethernet port\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e11.\u003c\/strong\u003e USB Type-C port\u003cbr\u003efor system burning and data communication\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e12.\u003c\/strong\u003e 40PIN header\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e13.\u003c\/strong\u003e 4PIN PWM fan header\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; width: 49.2344%;\"\u003e\n\u003cstrong\u003e14.\u003c\/strong\u003e M.2 Key E\u003cbr\u003efor connecting wireless NIC\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e15.\u003c\/strong\u003e 2 × M.2 Key M\u003cbr\u003efor connecting NVMe solid-state drives\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; width: 50.8913%;\"\u003e\n\u003cstrong\u003e16.\u003c\/strong\u003e RTC backup battery header\u003cbr\u003ePH1.25 2P\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003cbr\u003e\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle hilitColor\"\u003eOutline Dimensions\u003c\/h2\u003e\n\u003cimg alt=\"Jetson Orin Nano \/ NX Super Dual Ethernet Base Board type B, outline dimensions\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE-B\/JETSON-ORIN-IO-BASE-B-details-size.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cp class=\"richTitle\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\"\u003eResources \u0026amp; Services\u003c\/h2\u003e\n\u003cdiv style=\"text-align: center;\" class=\"bgGrey\"\u003e\u003cstrong\u003eWiki: \u003ca rel=\"noopener noreferrer\" href=\"https:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-IO-BASE-B\" target=\"_blank\"\u003ewww.waveshare.com\/wiki\/JETSON\u003c\/a\u003e\u003c\/strong\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\" class=\"bgGrey\"\u003e\n\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\" class=\"bgGrey\"\u003e\n\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003ch2 style=\"text-align: center;\" class=\"bgGrey\"\u003ePackage Content\u003cstrong\u003e\u003cbr\u003e\u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eWeight:\u003c\/strong\u003e 0.093 kg\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eJETSON-ORIN-IO-BASE-B x1\u003cbr\u003eScrews pack x1\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/brave_screenshot_www.waveshare.com_13.png?v=1769079325\"\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":51132458008893,"sku":"WVSH0587","price":9499.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/jetson-orin-io-base-b-1.jpg?v=1769079919"},{"product_id":"nvidia-h200-gpu","title":"NVIDIA H200 NVL Graphic Card 141 GB Passive PCIe","description":"\u003ch2 style=\"text-align: center;\"\u003eNVIDIA H200 NVL Graphic Card \u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color: rgb(115, 194, 34);\"\u003e900-21010-0040-000\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eNVIDIA H200 NVL is ideal for lower-power, air-cooled enterprise rack designs that require flexible configurations, delivering acceleration for every AI and HPC workload regardless of size. With up to four GPUs connected by NVIDIA NVLink™ and a 1.5X memory increase, large language model (LLM) inference can be accelerated up to 1.7X and HPC applications achieve up to 1.3X more performance over the H100 NVL.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/h200nvl-ari.jpg?v=1765343797\" alt=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eNVIDIA H200 GPU\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(115, 194, 34);\"\u003e\u003cstrong\u003eSupercharging AI and HPC workloads.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/h200-kv-bb580_440-p_2x_c509abc6-b079-440a-ba94-85a6f42054c2.jpg?v=1765349204\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(115, 194, 34);\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eThe GPU for Generative AI and HPC\u003c\/span\u003e\u003cstrong\u003e\u003cbr\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eThe NVIDIA H200 GPU supercharges generative AI and high-performance computing (HPC) workloads with game-changing performance and memory capabilities. As the first GPU with HBM3E, the H200’s larger and faster memory fuels the acceleration of generative AI and large language models (LLMs) while advancing scientific computing for HPC workloads.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eExperience Next-Level Performance\u003cbr\u003e\n\u003c\/h2\u003e\n\u003ctable style=\"width: 90%; margin: auto; height: 97.141px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 97.141px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.3051%; height: 97.141px;\"\u003e\n\u003ch2\u003e\u003cspan style=\"color: rgb(115, 194, 34);\"\u003e\u003cspan class=\"leadPerf\"\u003e1.9X\u003c\/span\u003e Faster\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eLlama2 70B Inference\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0454%; height: 97.141px;\"\u003e\n\u003ch2\u003e\u003cspan style=\"color: rgb(115, 194, 34);\"\u003e\u003cspan class=\"leadPerf\"\u003e1.6X\u003c\/span\u003e Faster\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eGPT-3 175B Inference\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 32.8025%; height: 97.141px;\"\u003e\n\u003cdiv class=\"nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12\"\u003e\n\u003cdiv id=\"highlights\" class=\"p-t-75 p-b-75  lap-p-t-75 \n         lap-p-b-75  tab-p-t-45 tab-p-b-45\n          mob-p-t-45 mob-p-b-45  \n          \n          \n         d-top-align d-left-align \n         l-left-align l-top-align t-left-align \n         t-top-align m-top-align m-left-align \n             \n         d-content-align-top l-content-align-top t-content-align-top m-content-align-top\" data-cmp-is=\"nv-container\" data-cmp-breadcrumbcolor=\"none\" data-in-page-nav-item-index=\"2\"\u003e\n\u003cdiv class=\"general-container\"\u003e\n\u003cdiv class=\"aem-Grid aem-Grid--12 aem-Grid--default--12\"\u003e\n\u003cdiv class=\"nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12\"\u003e\n\u003cdiv id=\"container-3a785f44cc\" class=\"p-t-30 p-b-0  lap-p-t-30 \n         lap-p-b-0  tab-p-t-30 tab-p-b-0 \n          mob-p-t-30 mob-p-b-0  \n          \n          \n         d-top-align d-left-align \n         l-left-align l-top-align t-left-align \n         t-top-align m-top-align m-left-align \n             \n         d-content-align-top l-content-align-top t-content-align-top m-content-align-top\" data-cmp-is=\"nv-container\"\u003e\n\u003cdiv class=\"general-container nv-flexbox d-col-3 l-col-3 t-col-2 p-col-1 d-justify-center l-justify-center t-justify-center p-justify-center flex-align-stretch\"\u003e\n\u003cdiv class=\"nv-container container responsivegrid\"\u003e\n\u003cdiv id=\"container-df03b36c44\" class=\"p-t-0 p-b-0  lap-p-t-0 \n         lap-p-b-0  tab-p-t-30 tab-p-b-0\n          mob-p-t-30 mob-p-b-0  \n          \n          \n         d-top-align d-left-align \n         l-left-align l-top-align t-left-align \n         t-top-align m-top-align m-left-align \n             \n         d-content-align-top l-content-align-top t-content-align-top m-content-align-top\" data-cmp-is=\"nv-container\" data-cmp-breadcrumbcolor=\"none\"\u003e\n\u003cdiv class=\"general-container\"\u003e\n\u003cdiv class=\"aem-Grid aem-Grid--12 aem-Grid--default--12\"\u003e\n\u003cdiv class=\"nv-text text aem-GridColumn aem-GridColumn--default--12\"\u003e\n\u003cdiv id=\"nv-text-df620d9d5d\" class=\"general-container-text\"\u003e\n\u003cdiv class=\"text-center lap-text-center tab-text-center mob-text-center\"\u003e\n\u003cdiv class=\"description\"\u003e\n\u003ch2\u003e\u003cspan style=\"color: rgb(115, 194, 34);\"\u003e\u003cspan class=\"leadPerf\"\u003e110X\u003c\/span\u003e Faster\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eHigh-Performance Computing\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eHigher Performance With Larger, Faster Memory\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eBased on the NVIDIA Hopper™ architecture, the NVIDIA H200 is the first GPU to offer 141 gigabytes (GB) of HBM3e memory at 4.8 terabytes per second (TB\/s) —that’s nearly double the capacity of the NVIDIA H100 GPU with 1.4X more memory bandwidth. The H200’s larger and faster memory accelerates generative AI and LLMs, while advancing scientific computing for HPC workloads with better energy efficiency and lower total cost of ownership.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eUnlock Insights With High-Performance LLM Inference\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eIn the ever-evolving landscape of AI, businesses rely on LLMs to address a diverse range of inference needs. An AI inference accelerator must deliver the highest throughput at the lowest TCO when deployed at scale for a massive user base.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eThe H200 boosts inference speed by up to 2X compared to H100 GPUs when handling LLMs like Llama2.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/www.nvidia.com\/en-us\/deep-learning-ai\/solutions\/inference-platform\/?ncid=no-ncid\" rel=\"noopener\" target=\"_blank\"\u003eExplore NVIDIA’s AI Inference Platform \u0026gt;\u003c\/a\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/llm-inference-chart_1.svg?v=1765343362\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003ePreliminary specifications. May be subject to change.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eLlama2 13B: ISL 128, OSL 2K | Throughput | H100 SXM 1x GPU BS 64 | H200 SXM 1x GPU BS 128\u003cbr\u003eGPT-3 175B: ISL 80, OSL 200 | x8 H100 SXM GPUs BS 64 | x8 H200 SXM GPUs BS 128\u003cbr\u003eLlama2 70B: ISL 2K, OSL 128 | Throughput | H100 SXM 1x GPU BS 8 | H200 SXM 1x GPU BS 32.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eSupercharge High-Performance Computing\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eMemory bandwidth is crucial for HPC applications as it enables faster data transfer, reducing complex processing bottlenecks. For memory-intensive HPC applications like simulations, scientific research, and artificial intelligence, the H200’s higher memory bandwidth ensures that data can be accessed and manipulated efficiently, leading up to 110X faster time to results compared to CPUs.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/www.nvidia.com\/en-us\/high-performance-computing\/?ncid=no-ncid\" rel=\"noopener\" target=\"_blank\"\u003eLearn More About High-Performance Computing \u0026gt;\u003c\/a\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/high-performance-computing-chart.svg?v=1765343458\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003ePreliminary specifications. May be subject to change.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eHPC MILC- dataset NERSC Apex Medium | HGX H200 4-GPU | dual Sapphire Rapids 8480\u003cbr\u003eHPC Apps- CP2K: dataset H2O-32-RI-dRPA-96points | GROMACS: dataset STMV | ICON: dataset r2b5 | MILC: dataset NERSC Apex Medium | Chroma: dataset HMC Medium | Quantum Espresso: dataset AUSURF112 | 1x H100 SXM | 1x H200 SXM.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eReduce Energy and TCO\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eWith the introduction of the H200, energy efficiency and TCO reach new levels. This cutting-edge technology offers unparalleled performance, all within the same power profile as the H100. AI factories and supercomputing systems that are not only faster but also more eco-friendly, deliver an economic edge that propels the AI and scientific community forward.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/sustainable-computing\/?ncid=no-ncid\" rel=\"noopener\" target=\"_blank\"\u003eLearn More About Sustainable Computing \u0026gt;\u003c\/a\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/energy-tco-chart.svg?v=1765343557\" alt=\"\" style=\"font-size: 0.875rem;\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003ePreliminary specifications. May be subject to change.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eLlama2 70B: ISL 2K, OSL 128 | Throughput | H100 SXM 1x GPU BS 8 | H200 SXM 1x GPU BS 32\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eAccelerating AI Acceleration for Mainstream Enterprise Servers With H200 NVL\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eNVIDIA H200 NVL is ideal for lower-power, air-cooled enterprise rack designs that require flexible configurations, delivering acceleration for every AI and HPC workload regardless of size. With up to four GPUs connected by NVIDIA NVLink™ and a 1.5x memory increase, large language model (LLM) inference can be accelerated up to 1.7x, and HPC applications achieve up to 1.3x more performance over the H100 NVL.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/h200nvl-ari.jpg?v=1765343797\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eEnterprise-Ready: AI Software Streamlines Development and Deployment\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eNVIDIA H200 NVL comes with a five-year NVIDIA Enterprise subscription. This subscription includes NVIDIA AI Enterprise to simplify the way you build an enterprise AI-ready platform. H200 accelerates AI development and deployment for production-ready generative AI solutions, including computer vision, speech AI, retrieval augmented generation (RAG), and more. NVIDIA AI Enterprise includes NVIDIA NIM™, a set of easy-to-use microservices designed to speed up enterprise generative AI deployment. Together, deployments have enterprise-grade security, manageability, stability, and support. This results in performance-optimized AI solutions that deliver faster business value and actionable insights.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/activate-license\/?ncid=no-ncid\" rel=\"noopener\" target=\"_blank\"\u003eActivate Your NVIDIA AI Enterprise License \u0026gt;\u003c\/a\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ai-enterprise-kv-bm-af360-p_2x_52a142c2-70d5-4d47-8fd5-b1053843bf42.jpg?v=1765343884\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eGraphics memory\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(115, 194, 34);\"\u003e\u003cstrong\u003eMemory size 141 GB┃Memory type HBM3e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eVRAM, these days primarily of GDDR type, is a synchronous memory, similar to standard RAM. However, in the case of graphic memory, memory chips with faster throughput and multiple data transfer rates are concerned. The result is a much faster buffering of data that the graphics card or coprocessor calculates and passes to the processor.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eSpecifications\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eNVIDIA H200 GPU\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 685.808px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5964px;\"\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color: rgb(115, 194, 34);\"\u003eH200 SXM\u003c\/span\u003e\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color: rgb(115, 194, 34);\"\u003eH200 NVL\u003c\/span\u003e\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1797px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003eFP64 Performance\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003e34 TFLOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003e30 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5964px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003eFP64 Tensor Core\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e67 TFLOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e60 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1797px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003eFP32 Performance\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003e67 TFLOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003e60 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5964px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003eTF32 Tensor Core\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e989 TFLOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e835 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1927px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eBFLOAT16 Tensor Core\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003e1,979 TFLOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003e1,671 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5964px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003eFP16 Tensor Core\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e1,979 TFLOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e1,671 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5964px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003eFP8 Tensor Core\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e3,958 TFLOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e3,341 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5964px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003eINT8 Tensor Core\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e3,958 TFLOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e3,341 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5964px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003eGPU Memory\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e141 GB\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e141 GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1927px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eGPU Memory Bandwidth\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003e4.8 TB\/s\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003e4.8 TB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5964px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003eDecoders\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e7 × NVDEC, 7 × JPEG\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e7 × NVDEC, 7 × JPEG\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1927px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eConfidential Computing\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eSupported\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eSupported\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1797px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003eMax TDP\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003eUp to 700 W (configurable)\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003eUp to 600 W (configurable)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1927px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eMulti-Instance GPU (MIG)\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eUp to 7 MIGs @ 18 GB each\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eUp to 7 MIGs @ 16.5 GB each\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1797px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003eForm Factor\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003eSXM\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003ePCIe, dual-slot air-cooled\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78.3724px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 78.3724px; text-align: center;\"\u003eInterconnect\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 78.3724px; text-align: center;\"\u003eNVIDIA NVLink™: 900 GB\/s\u003cbr\u003ePCIe Gen5: 128 GB\/s\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 78.3724px; text-align: center;\"\u003e2- or 4-way NVLink bridge: 900 GB\/s per GPU\u003cbr\u003ePCIe Gen5: 128 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 97.9818px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 97.9818px; text-align: center;\"\u003eServer Options\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 97.9818px; text-align: center;\"\u003eNVIDIA HGX™ H200 partner systems\u003cbr\u003eNVIDIA-Certified™ systems with 4 or 8 GPUs\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 97.9818px; text-align: center;\"\u003eNVIDIA MGX™ H200 NVL partner systems\u003cbr\u003eNVIDIA-Certified™ systems with up to 8 GPUs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1927px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eNVIDIA AI Enterprise\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eAdd-on\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eIncluded\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eResources\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/hpc-datasheet-sc23-h200-datasheet-3002446.pdf?v=1765347919\" target=\"_blank\"\u003e\u003cspan style=\"color: rgb(43, 0, 255);\"\u003e\u003cstrong\u003eDatasheet\u003c\/strong\u003e\u003c\/span\u003e\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/hpc-datasheet-sc23-h200-datasheet-3002446.pdf?v=1765347919\" target=\"_blank\"\u003e\u003cspan style=\"color: rgb(43, 0, 255);\"\u003e\u003cstrong\u003eH200 NVL Product Brief \u003c\/strong\u003e\u003c\/span\u003e\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/developer.nvidia.com\/deep-learning-performance-training-inference?ncid=no-ncid\" target=\"_blank\"\u003e\u003cspan style=\"color: rgb(43, 0, 255);\"\u003e\u003cstrong\u003eData Center Product Performance\u003c\/strong\u003e\u003c\/span\u003e\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":51148332663101,"sku":"H200","price":2949999.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Gemini_Generated_Image_gxpdmygxpdmygxpd.png?v=1765349919"},{"product_id":"thinkrobotics-jetson-orin-nx-deployment-kit-commercial-version","title":"ThinkRobotics Jetson Orin NX Deployment Kit (Commercial Version)","description":"\u003cdiv class=\"document\"\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\" style=\"text-align: center;\"\u003eThinkRobotics Edge AI Device with NVIDIA Jetson Orin™ NX 8GB \/ 16GB module\u003c\/h2\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\" style=\"text-align: center;\"\u003eThinkRobotics Edge AI Device is built with Jetson Orin NX 8GB or 16GB - a powerful and compact intelligent edge box to bring up to 100 TOPS modern AI performance to the edge, which offers up to 5X the performance of Jetson Xavier NX and up to 3X the performance of Jetson AGX Xavier. Combining the NVIDIA Ampere™ GPU architecture with 64-bit operating capability, Orin NX integrates advanced multi-function video and image processing, and NVIDIA Deep Learning Accelerators.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\" style=\"text-align: center;\"\u003eThe full system includes one NVIDIA Jetson Orin™ NX 8GB or 16GB production module, \u003cstrong\u003eWaveshare Jetson Orin Nano\/NX Development Board carrier board, a \u003ca href=\"https:\/\/thinkrobotics.com\/products\/official-cooling-fan-for-jetson-orin-online\" target=\"_blank\"\u003eheatsink\u003c\/a\u003e, RTL8822CE Wireless NIC - Wi-Fi, a power adapter installed in a 3D printed carbon fiber case or a metal case.\u003c\/strong\u003e The device is preinstalled with JetPack 6.2 on the included 240GB NVMe SSD, simplifies development, and fits for deployment for edge AI solution providers working in video analytics, object detection, natural language processing, medical imaging, and robotics across industries of smart cities, security, industrial automation, smart factories.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003eFeatures\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003e\u003cstrong\u003eAI Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003eBrilliant AI performance for production with on-device processing delivering up to 100 TOPS AI performance with low power consumption and low latency.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003e\u003cstrong\u003eCompact Edge AI Device\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003eHand-size edge AI device with compact dimensions of 130mm × 120mm × 58.5mm. Includes NVIDIA Jetson Orin™ NX 16GB production module, cooling fan with heatsink, enclosure, and power adapter. Supports desktop and wall mounting for flexible deployment.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003e\u003cstrong\u003eExpandable I\/O\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003eExpandable with rich I\/Os (Waveshare SBC2152): 4 × USB 3.2 Type-A, 1 × USB Type-C (system burning), DisplayPort for 4K output, RJ45 Gigabit Ethernet, 2 × 4-Lane CSI, M.2 Key E, 2 × M.2 Key M (for NVMe SSDs), and 40-Pin GPIO.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003e\u003cstrong\u003eSoftware \u0026amp; Development\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003eAccelerate solution deployment with pre-installed JetPack including NVIDIA JetPack™ 5.1 on the bundled 240GB NVMe SSD. Includes Linux OS BSP and supports Jetson software, leading AI frameworks, and development platforms.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003e\u003cstrong\u003eCertifications\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003eComprehensive certifications including FCC, CE, and RoHS compliance.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/p\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003eDescription\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\" style=\"text-align: center;\"\u003eWith rich extension modules, industrial peripherals, and thermal management, the Edge AI Device with the Waveshare SBC2152 carrier board is ready to help you accelerate and scale the next-gen AI product by deploying popular DNN models and ML frameworks to the edge and inferencing with high performance, for tasks like real-time classification and object detection, pose estimation, semantic segmentation, and natural language processing (NLP).\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\" style=\"text-align: center;\"\u003eThe \u003cstrong\u003eWaveshare Jetson Orin Nano\/NX Development Board\u003c\/strong\u003e provides almost the same peripheral interfaces, size and thickness as the official Jetson Orin Nano Developer Kit, making it ideal for users to develop and deploy their AI applications.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.13 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003eGuides and resources are available to get started with NVIDIA Jetson using leading AI frameworks and software. For example, with \u003ca href=\"https:\/\/wiki.seeedstudio.com\/YOLOv5-Object-Detection-Jetson\/\" target=\"_blank\"\u003eDeepstream and TensorRT\u003c\/a\u003e, developers can deploy custom YOLOv5 models on Jetson Orin at over 100FPS\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.13 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/p\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.13 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003eDevelopers Tools\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003ePre-installed Jetpack for fast development and edge AI integration\u003c\/h3\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\" style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/develop\/software\" target=\"_blank\"\u003eJetson software stack\u003c\/a\u003e begins with NVIDIA JetPack™ SDK which provides a full development environment and includes CUDA-X accelerated libraries and other NVIDIA technologies to kickstart your development. JetPack includes the Jetson Linux Driver package which provides the Linux kernel, bootloader, NVIDIA drivers, flashing utilities, sample filesystem, and toolchains for the Jetson platform. It also includes security features, over-the-air update capabilities, and much more.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\" style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003eComputer Vision and embedded machine learning\u003c\/h3\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; height: 450.656px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003ePlatform \/ Toolkit\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eDescription\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003e\u003cstrong\u003eNVIDIA DeepStream SDK\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003eNVIDIA DeepStream SDK provides a complete streaming analytics toolkit for AI-based multi-sensor processing, enabling video and image understanding on NVIDIA Jetson platforms.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003e\u003cstrong\u003eNVIDIA TAO Toolkit\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003eNVIDIA TAO Toolkit, built on TensorFlow and PyTorch, offers a low-code framework that accelerates AI model training and optimization for deployment on edge devices.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78.375px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 78.375px;\"\u003e\u003cstrong\u003ealwaysAI\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 78.375px;\"\u003ealwaysAI enables developers to build, train, and deploy computer vision applications directly at the edge of reComputer devices. It provides access to 100+ pre-trained computer vision models and supports cloud-based training of custom AI models through enterprise subscription.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003e\u003cstrong\u003eEdge Impulse\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003eEdge Impulse provides an embedded machine learning pipeline for deploying audio processing, classification, and object detection applications at the edge with zero dependency on the cloud.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003e\u003cstrong\u003eRoboflow\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003eRoboflow offers tools to convert raw images into custom-trained computer vision models for object detection and classification, and deploy them for use in applications on NVIDIA Jetson devices.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003e\u003cstrong\u003eYOLOv5 (Ultralytics)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003eYOLOv5 by Ultralytics supports transfer learning for few-shot object detection, allowing models to be trained using a small number of samples for rapid deployment.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); height: 39.1875px; text-align: center;\"\u003e\u003cstrong\u003eDeci\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); height: 39.1875px; text-align: center;\"\u003eDeci provides tools to benchmark and optimize AI model runtime performance on NVIDIA Jetson platforms such as Jetson Nano and Xavier NX.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/p\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003eSpeech AI\u003c\/h3\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/riva\" target=\"_blank\"\u003eNVIDIA® Riva\u003c\/a\u003e is a GPU-accelerated SDK for building Speech AI applications that are customized for your use case and deliver real-time performance.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch3 class=\"document\" style=\"text-align: center;\"\u003eRemote Fleet Management\u003c\/h3\u003e\n\u003cp dir=\"ltr\" style=\"text-align: center;\"\u003eEnable secure OTA and remote device management with \u003ca href=\"https:\/\/www.allxon.com\/\" target=\"_blank\"\u003eAllxon\u003c\/a\u003e. Unlock 90 days free trial with code H4U-NMW-CPK.\u003c\/p\u003e\n\u003cp dir=\"ltr\" style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003eRobot and ROS Development\u003c\/h3\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; height: 215.531px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003ePlatform \/ Toolkit\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eDescription\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78.375px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 78.375px;\"\u003e\u003cstrong\u003eNVIDIA Isaac ROS GEMs\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 78.375px;\"\u003eNVIDIA Isaac ROS GEMs are hardware-accelerated packages designed to help ROS developers build high-performance robotic solutions on NVIDIA hardware. These packages provide optimized algorithms and tools to accelerate perception, navigation, and robotics workflows on NVIDIA Jetson platforms.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 97.9688px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 97.9688px;\"\u003e\u003cstrong\u003eCogniteam Nimbus\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 97.9688px;\"\u003eCogniteam Nimbus is a cloud-based platform that enables developers to manage and deploy autonomous robots efficiently. The Nimbus platform supports NVIDIA® Jetson™ devices and NVIDIA ISAAC SDK and GEMs out-of-the-box, allowing seamless integration between robotics applications and cloud infrastructure.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cdiv class=\"document\" style=\"text-align: center;\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003e   \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eHardware Overview\u003c\/h2\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eWaveshare Jetson Orin Nano\/NX Development Board\u003c\/h3\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/JETSON-ORIN-IO-BASE-details-13.jpg?v=1773381468\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eThe Waveshare carrier board for Jetson Orin Nano\/NX provides a comprehensive set of interfaces, offering a robust platform for edge AI development. It is compatible with both the Jetson Orin Nano and Jetson Orin NX modules. Key features include:\u003c\/p\u003e\n\u003ctable style=\"border-collapse: collapse; width: 98.75%; height: 800px; margin-left: auto; margin-right: auto;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 58.7812px; width: 52.0646%; text-align: center;\"\u003e\n\u003cstrong\u003e1. 260PIN DO-DIMM socket\u003c\/strong\u003e\u003cbr\u003eFor connecting Jetson Orin Nano\/NX module\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 58.7812px; width: 47.9354%; text-align: center;\"\u003e\n\u003cstrong\u003e9. USB Type-C port\u003c\/strong\u003e\u003cbr\u003eFor system burning and data communication\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78.375px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 78.375px; width: 52.0646%; text-align: center;\"\u003e\n\u003cstrong\u003e2. 12PIN header\u003c\/strong\u003e\u003cbr\u003eAdapting pins for power supply, reset button, force recovery setting, serial port debug, auto power-up enable, and power indicator functions\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 78.375px; width: 47.9354%; text-align: center;\"\u003e\u003cstrong\u003e10. 40PIN header\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 39.1875px; width: 52.0646%; text-align: center;\"\u003e\u003cstrong\u003e3. Power button\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 39.1875px; width: 47.9354%; text-align: center;\"\u003e\u003cstrong\u003e11. 4PIN PWM fan header\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 39.1875px; width: 52.0646%; text-align: center;\"\u003e\n\u003cstrong\u003e4. 2 × 22PIN CSI camera interfaces\u003c\/strong\u003e\u003cbr\u003e2 × MIPI CSI 4-lane camera interfaces\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 39.1875px; width: 47.9354%; text-align: center;\"\u003e\n\u003cstrong\u003e12. M.2 Key E\u003c\/strong\u003e\u003cbr\u003eFor connecting wireless NIC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 58.7812px; width: 52.0646%; text-align: center;\"\u003e\n\u003cstrong\u003e5. DC Power jack\u003c\/strong\u003e\u003cbr\u003eSupports wide range 9V–19V power supply, compatible with 5.5 × 2.5 mm male plug\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 58.7812px; width: 47.9354%; text-align: center;\"\u003e\n\u003cstrong\u003e13. 2 × M.2 Key M\u003c\/strong\u003e\u003cbr\u003eFor connecting NVMe solid state drives\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 39.1875px; width: 52.0646%; text-align: center;\"\u003e\n\u003cstrong\u003e6. HDMI display interface\u003c\/strong\u003e\u003cbr\u003eHDMI output\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 39.1875px; width: 47.9354%; text-align: center;\"\u003e\n\u003cstrong\u003e14. RTC backup battery header\u003c\/strong\u003e\u003cbr\u003ePH1.25 2PIN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 58.7812px; width: 52.0646%; text-align: center;\"\u003e\n\u003cstrong\u003e7. 4 × USB 3.2 Gen2 Type-A ports\u003c\/strong\u003e\u003cbr\u003eSupports up to 10 Gbps data transmission\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 58.7812px; width: 47.9354%;\"\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 58.7812px; width: 52.0646%; text-align: center;\"\u003e\u003cstrong\u003e8. RJ45 Gigabit Ethernet port\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 58.7812px; width: 47.9354%;\"\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eTake advantage of the small form factor, sensor-rich interfaces, and big performance to bring new capabilities to all your embedded AI and edge systems.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003ch2\u003ePart List\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; height: 137.157px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 52.0631%; height: 19.5938px;\"\u003eNVIDIA Jetson Orin™ NX \u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003e16GB \/ 8GB\u003c\/strong\u003e\u003c\/span\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 47.9369%; height: 19.5938px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 52.0631%; height: 19.5938px;\"\u003eWaveshare Carrier Board\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 47.9369%; height: 19.5938px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 52.0631%; height: 19.5938px;\"\u003e240GB NVMe SSD\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 47.9369%; height: 19.5938px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 52.0631%; height: 19.5938px;\"\u003eAluminum Heatsinks with Fan\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 47.9369%; height: 19.5938px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 52.0631%; height: 19.5938px;\"\u003e3D Printed Case \/ Aluminium Case\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 47.9369%; height: 19.5938px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 52.0631%; height: 19.5938px;\"\u003eWi-Fi Module with Antenna\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 47.9369%; height: 19.5938px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 52.0631%; height: 19.5938px;\"\u003e12V \/ 5A Power Adapter\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 47.9369%; height: 19.5938px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e \u003c\/h2\u003e\n\u003ch2\u003eFAQ\u003c\/h2\u003e\n\u003ch3\u003eWhat type of RTC is recommended for RTC socket?\u003c\/h3\u003e\n\u003cp\u003eThe Waveshare SBC2152 provides an RTC backup battery header. CR1220 and ML1220 batteries are typically compatible for RTC backup.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDocumentations\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/reComputer-J401x-datasheet.pdf\" target=\"_blank\"\u003e\u003c\/a\u003e\n\u003c\/h2\u003e\n\u003cdiv class=\"product documents-tab\"\u003e\n\u003cdiv class=\"value documents-info\"\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-NX-8G-DEV-KIT\" rel=\"noopener\" target=\"_blank\"\u003ehttps:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-NX-8G-DEV-KIT\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-NX-16G-DEV-KIT\"\u003ehttps:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-NX-16G-DEV-\u003c\/a\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-NX-16G-DEV-KIT\" rel=\"noopener\" target=\"_blank\"\u003eKIT\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"8GB \/ 3D Printed Plastic","offer_id":51153153392957,"sku":"SBC1149-8","price":103049.99,"currency_code":"INR","in_stock":true},{"title":"8GB \/ Aluminium","offer_id":51153153425725,"sku":"SBC1149-8A","price":106949.99,"currency_code":"INR","in_stock":true},{"title":"16GB \/ 3D Printed Plastic","offer_id":51153153458493,"sku":"SBC1149-16","price":143599.99,"currency_code":"INR","in_stock":true},{"title":"16GB \/ Aluminium","offer_id":51153153491261,"sku":"SBC1149-16A","price":146599.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/SBC1055-3_543c67ef-5406-44af-90c6-1d9a19e97e72.png?v=1774596861"},{"product_id":"sima-ai-modalix-deployment-kit","title":"SiMa.ai Modalix Deployment Kit  : (SW license extra)","description":"\u003ch2 style=\"text-align: center;\"\u003eModalix Deployment Kit\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eThe SiMa.ai MLSoC Modalix Development Kit (DevKit) is a complete hardware and software platform for evaluating and prototyping intelligent Physical AI applications using the latest Modalix System-on-Module (SoM).\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eDesigned for rapid deployment, this kit enables seamless development, benchmarking, and proof-of-concept creation with SiMa.ai’s Palette software, offering best-in-class performance-per-watt in a compact form factor. Ideal for industrial, robotics, and vision-based and LLM-based applications, this kit supports real-time inferencing across computer vision, transformer models, and GenAI workloads.\u003c\/p\u003e\n\u003cdiv style=\"display: grid; grid-template-columns: 1fr; gap: 24px; margin-bottom: 24px;\"\u003e\n\u003c!-- Cards Container --\u003e\n\u003cdiv class=\"feature-grid\"\u003e\n\u003cdiv class=\"card\"\u003e\n\u003ch3\u003eBuild, test, and deploy AI apps fast\u003c\/h3\u003e\n\u003cp\u003eLaunch edge AI applications in just minutes with our streamlined workflow\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card\"\u003e\n\u003ch3\u003ePrototype smart, autonomous systems\u003c\/h3\u003e\n\u003cp\u003eDesign Physical AI, robotics, and sensor-based apps with ease\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card\"\u003e\n\u003ch3\u003eExplore demos, models, and docs\u003c\/h3\u003e\n\u003cp\u003eAccess ready-to-run examples, pretrained models, and full guides\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card\"\u003e\n\u003ch3\u003eComplete kit with all essentials\u003c\/h3\u003e\n\u003cp\u003eFast deployment includes software, cables, tools, and power—no extras needed\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card\"\u003e\n\u003ch3\u003eDeploy your models seamlessly with industry-standard compatibility\u003c\/h3\u003e\n\u003cp\u003eDeploy your models seamlessly with industry-standard compatibility\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\n.feature-grid {\n  display: grid;\n  gap: 24px;\n  grid-template-columns: repeat(1, 1fr);\n}\n\n\/* Tablet *\/\n@media (min-width: 768px) {\n  .feature-grid {\n    grid-template-columns: repeat(2, 1fr);\n  }\n}\n\n\/* Desktop *\/\n@media (min-width: 1024px) {\n  .feature-grid {\n    grid-template-columns: repeat(5, 1fr);\n  }\n}\n\n.card {\n  background: #fff;\n  border-radius: 16px;\n  padding: 32px 24px;\n  text-align: center;\n  box-shadow: 0 8px 24px rgba(0,0,0,0.08);\n}\n\n.card h3 {\n  margin-bottom: 12px;\n}\n\n.card p {\n  margin: 0;\n}\n\u003c\/style\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePowered by MLSoC Modalix SoM\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eThe MLSoC Modalix System-on-Module (SoM) provides the proven performance of the Modalix MLSoC architecture in a compact, deployment-ready form factor, purpose-built to Scale Physical AI applications.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eThe Modalix innovative system architecture seamlessly integrates a set of compute engines and peripherals, delivering best-in-class performance per watt for advanced workloads, including multimodal Transformers, Large Language Models (LLMs), Large Multimodal Models (LMMs), and Generative AI (GenAI). It also maintains full support for legacy convolutional neural networks (CNNs) and traditional\u003cbr\u003ecomputer vision algorithms, ensuring broad compatibility across both modern and established ML pipelines.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eThe Modalix SoM offers the best-in-class performance per watt.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/sima.ai\/wp-content\/uploads\/2025\/08\/som-chips-with-bg.png\" class=\"object-contain\" decoding=\"async\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eMLSoC Modalix SoM Feature Highlights\u003cbr\u003e\n\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.7592%;\"\u003e\u003cstrong\u003eMachine Learning Accelerator (MLA)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.2408%;\"\u003e50 TOPs (BF16, INT8, INT16)\u003cbr\u003eSupports LLMs, neural networks, and GenAI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.7592%;\"\u003e\u003cstrong\u003eApplication Compute Unit (ACU)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.2408%;\"\u003e8 × ARM Cortex-A65 @ 1.4 GHz\u003cbr\u003e32K Dhrystone MIPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.7592%;\"\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.2408%;\"\u003e32 GB or 8 GB on-board 128-bit LPDDR5 (6400 Mbps) system memory\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.7592%;\"\u003e\u003cstrong\u003eBoot and Security Unit (BSU)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.2408%;\"\u003eSecure boot with boot code authentication and encryption\u003cbr\u003eSecure key storage and management\u003cbr\u003eSecurity engine for user code\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.7592%;\"\u003e\u003cstrong\u003eVideo Codec\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.2408%;\"\u003eDecode H.264 \/ H.265 \/ AV1 up to 4K60\u003cbr\u003eEncode H.264 \/ H.265 up to 4K60\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.7592%;\"\u003e\u003cstrong\u003eComputer Vision Unit (CVU)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.2408%;\"\u003e4-core Synopsys EV74 DSP @ 1 GHz\u003cbr\u003e720 GOPS (16-bit)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.7592%;\"\u003e\u003cstrong\u003eLow-Latency ISP\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.2408%;\"\u003eARM Mali-C-1 @ 1.2 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.7592%;\"\u003e\u003cstrong\u003eDisplay Connectivity\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.2408%;\"\u003eHDMI 1.4 port with 4K resolution\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.7592%;\"\u003e\u003cstrong\u003ePeripherals\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.2408%;\"\u003e4 × 2-lane MIPI CSI-2\u003cbr\u003e4 × PCIe Gen5 RC \u0026amp; EP\u003cbr\u003e1 × 1Gb Ethernet PHY\u003cbr\u003e3 × USB 3.0\u003cbr\u003e4 × I2C, 3 × UART, 14 × GPIO\u003cbr\u003e2 × SPI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.7592%;\"\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.2408%;\"\u003eExternal NVMe via PCIe x4\u003cbr\u003eExternal SSD via USB 3.0\u003cbr\u003e16 GB eMMC flash\u003cbr\u003e64 MB QSPI flash\u003cbr\u003e128 KB EEPROM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.7592%;\"\u003e\u003cstrong\u003ePower Supply\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.2408%;\"\u003eFlexible 5–20 V power input\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.7592%;\"\u003e\u003cstrong\u003eForm Factor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.2408%;\"\u003e69.6 mm × 45 mm\u003cbr\u003e260-pin SO-DIMM connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.7592%;\"\u003e\u003cstrong\u003eOperating Temperature\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.2408%;\"\u003e\n\u003cstrong\u003eCommercial SoM: \u003c\/strong\u003e 0°C to +60°C\u003cbr\u003e\u003cstrong\u003e    Industrial SoM:  \u003c\/strong\u003e-40°C to +85°C\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDevelopment Flow\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003ePhase\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003eDescription\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003eDetails\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003eEvaluate\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eUse Palette to compile and run models, assess performance (FPS, latency, compute utilization), and monitor system metrics.\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #000; padding: 8px;\"\u003e\n\u003cul style=\"margin: 0; padding-left: 18px;\"\u003e\n\u003cli\u003eDocker-based toolchain\u003c\/li\u003e\n\u003cli\u003eARM cross-compiler\u003c\/li\u003e\n\u003cli\u003ePlatform image build \u0026amp; deploy tools\u003c\/li\u003e\n\u003cli\u003eIntegrated KPIs and performance feedback\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003ePrototype\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eDevelopers can rapidly prototype functional pipelines using SiMa.ai’s Python APIs.\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eEnables fast bring-up of custom ML workflows directly on the hardware without complex embedded optimization.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003eDemonstrate\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eThe Deployment supports multi-camera input and high-speed interfaces for showcasing applications.\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #000; padding: 8px;\"\u003e\n\u003cul style=\"margin: 0; padding-left: 18px;\"\u003e\n\u003cli\u003eMIPI CSI-2\u003c\/li\u003e\n\u003cli\u003eIP-based input\u003c\/li\u003e\n\u003cli\u003eUSB 3.2\u003c\/li\u003e\n\u003cli\u003eReal-time vision AI demo via HDMI with minimal latency\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eAvailable Interfaces\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Gemini_Generated_Image_7t3n4p7t3n4p7t3n.png?v=1763376133\" alt=\"\"\u003e\u003c\/p\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 147.75px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 10.5938px;\"\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 10.5938px;\"\u003e\u003cstrong\u003eNo.\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 10.5938px;\"\u003e\u003cstrong\u003eInterfaces\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e1\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003eHDMI 1.4 @ 4K\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e2\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e2 × MIPI CSI-2 Connectors\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e3\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003eM.2 M — 4× PCIe Gen4 RC\/EP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e4\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e4× USB 3.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e5\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e1× USB-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e6\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e1× Gigabit Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e7\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003eI²C \/ UART \/ GPIO \/ SPI \/ GPIO\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eResources\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eProduct Brief\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Modalix-SoM-Product-Brief_05.3.pdf?v=1770721342\" style=\"color: rgb(255, 42, 0);\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eWhat’s Included\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 147.75px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 10.5938px;\"\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 10.5938px;\"\u003e\u003cstrong\u003eParts\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 10.5938px;\"\u003e\u003cstrong\u003eQuantity\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003eModalix SoM 32GB \u003cspan style=\"color: rgb(255, 42, 0);\"\u003e(Commercial\/Industrial)\u003c\/span\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003eCarrier Board\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003eActive Heatsink\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003eM.2 240GB NVME Solid State Drive\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e12V\/5A Power Supply\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003eMetal Enclosure\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eVideos\u003c\/h2\u003e\n\u003cdiv style=\"position: relative; width: 100%; padding-top: 56.25%; background: #000;\"\u003e\u003cvideo preload=\"metadata\" playsinline=\"\" controls=\"controls\" style=\"position: absolute; top: 0; left: 0; width: 100%; height: 100%; object-fit: contain;\"\u003e\n    \u003csource type=\"video\/mp4\" src=\"https:\/\/cdn.shopify.com\/videos\/c\/o\/v\/82949aeb6dc7480ba08a1f4e08efa396.mp4\"\u003e\n    Your browser does not support the video tag.\n  \u003c\/source\u003e\u003c\/video\u003e\u003c\/div\u003e","brand":"SiMa.ai","offers":[{"title":"Commercial","offer_id":51369869181245,"sku":"SBC1158","price":84999.99,"currency_code":"INR","in_stock":true},{"title":"Industrial","offer_id":51369869214013,"sku":"SBC1159","price":89999.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/devkit-3-0_480x256_a69c6869-5027-45f2-92e6-1c0f93dfd6d4.webp?v=1774510820"},{"product_id":"thinkrobotics-nvidia-jetson-orin-nx-nano-edge-ai-5g-development-kit","title":"ThinkRobotics NVIDIA Jetson Orin NX \/ Nano Edge AI 5G Deployment Kit","description":"\u003ch2 style=\"text-align: center;\"\u003eThinkRobotics NVIDIA Jetson Orin NX \/ Nano Edge AI 5G Deployment Kit\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cmeta charset=\"utf-8\"\u003e\u003cspan\u003eThe Jetson Orin 5G AI Deployment Kit combines the powerful NVIDIA Jetson Orin™ NX \u003c\/span\u003e\u003cspan\u003eOrin™ Nano module with the versatile A608 carrier board and the high-performance RM520N-GL 5G module. This platform is designed for advanced edge AI applications requiring ultra-low latency connectivity, making it ideal for robotics, autonomous systems, UAVs, industrial automation, and next-generation AIoT deployments.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ChatGPT_Image_Mar_10_2026_04_52_30_PM.png?v=1773143339\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cspan\u003eFeature\u003c\/span\u003e\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003eHigh-Performance Edge AI Platform\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eBuilt on NVIDIA Jetson Orin™ NX \/ Orin™ Nano modules delivering powerful GPU-accelerated computing for computer vision, robotics, AI inference, and generative AI workloads.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003eIntegrated 5G Connectivity\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eEquipped with the RM520N-GL 5G module based on Qualcomm Snapdragon X62 platform supporting 5G SA and NSA networking for ultra-fast wireless communication.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003eMulti-Mode Global Network Support\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eCompatible with 5G, LTE, and WCDMA networks with support for multiple global frequency bands ensuring reliable connectivity across regions.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003eHigh-Speed USB 3.1 Interface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eProvides high-bandwidth USB connectivity between the Jetson system and the 5G modem for ultra-low latency networking and high-speed data transfer.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003eDual Gigabit Ethernet\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eTwo onboard Gigabit Ethernet ports allow high-speed wired networking for industrial deployments and AI edge servers.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003eFlexible Wireless Expansion\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eM.2 KEY B slot enables integration of 4G\/5G modules while M.2 KEY E supports WiFi expansion, providing flexible connectivity options.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003eQuad Antenna Design\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eFour SMA antenna connectors ensure strong signal reception and stable high-speed wireless communication.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003eMulti-Constellation GNSS Positioning\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eSupports GPS, GLONASS, Beidou, Galileo, and QZSS for high-precision positioning and navigation applications.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003eRich IO for Robotics and Embedded Systems\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eIncludes CAN, I2C, SPI, UART, CSI camera interfaces, and multiple GPIOs for easy integration with sensors, cameras, and robotic subsystems.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003eWide Power Input Range\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eOperates from 9V to 20V DC with up to 60W power input, making it suitable for mobile robots, drones, and industrial environments.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eThe Jetson Orin 5G Deployment Kit is designed to deliver powerful AI computing combined with next-generation wireless connectivity. By integrating NVIDIA's edge AI platform with the RM520N-GL 5G modem, the system enables real-time cloud connectivity, remote AI processing, and high-speed data streaming for intelligent edge applications.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eThe A608 carrier board provides a wide range of interfaces including dual Gigabit Ethernet, USB 3.2, CSI camera ports, CAN bus, and multiple expansion connectors, making it an ideal development platform for autonomous robots, AI surveillance systems, drones, and smart industrial devices.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eWith multi-constellation GNSS positioning and ultra-fast 5G connectivity, this platform is perfectly suited for applications requiring real-time telemetry, remote monitoring, edge analytics, and AI-powered automation.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/RM520N-GL-5G-for-Jetson-Orin-details-5.jpg?v=1764744465\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e* Note: The frequency band diagram above is for reference only,\u003c\/span\u003e\u003cbr\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003eplease confirm the supported bands according to your local service provider.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eApplication\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eAutonomous Robots\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eIndustrial AI \u0026amp; Automation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eUnmanned Aerial Vehicles (UAVs)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eEdge AI Video Analytics\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eSmart Cities \u0026amp; Intelligent Transportation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eRemote Monitoring Systems\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eAIoT Devices\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eAutonomous Marine Vehicles\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\n\u003cspan\u003eHardware\u003c\/span\u003e\u003cspan\u003e Ove\u003c\/span\u003e\u003cspan\u003erview\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cimg src=\"https:\/\/wdcdn.qpic.cn\/MTY4ODg1NzYyODMwNDA5OQ_556368_QFm3ICqR518LlQ4X_1705633232?w=1920\u0026amp;h=1080\u0026amp;type=image\/jpeg\"\u003e\u003cimg src=\"https:\/\/wdcdn.qpic.cn\/MTY4ODg1NzYyODMwNDA5OQ_800168_h1JqANomPobxe5Db_1705633237?w=1920\u0026amp;h=1080\u0026amp;type=image\/jpeg\"\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cimg\u003e\u003cimg\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eSpecifications\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 274.313px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 50.1664%;\"\u003e\u003cstrong\u003eProduct Name\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 49.8336%;\"\u003eJetson Orin 5G AI Deployment Kit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 50.1664%;\"\u003e\u003cstrong\u003eAI Module Compatibility\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 49.8336%;\"\u003eNVIDIA Jetson Orin™ NX \/ Orin™ Nano\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 50.1664%;\"\u003e\u003cstrong\u003eCarrier Board\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 49.8336%;\"\u003eA608 Jetson Carrier Board\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 50.1664%;\"\u003e\u003cstrong\u003e5G Module\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 49.8336%;\"\u003eRM520N-GL (Qualcomm Snapdragon X62 Platform)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 50.1664%;\"\u003e\u003cstrong\u003e5G Network\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 49.8336%;\"\u003e5G SA \/ NSA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 50.1664%;\"\u003e\u003cstrong\u003eNetworking\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 49.8336%;\"\u003e2 × Gigabit Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 50.1664%;\"\u003e\u003cstrong\u003eUSB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 49.8336%;\"\u003e4 × USB 3.2 Type-A, 1 × USB Type-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 50.1664%;\"\u003e\u003cstrong\u003eCamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 49.8336%;\"\u003e2 × 4-lane MIPI CSI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 50.1664%;\"\u003e\u003cstrong\u003eWireless\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 49.8336%;\"\u003e5G via M.2 KEY B, WiFi via M.2 KEY E\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 50.1664%;\"\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 49.8336%;\"\u003eM.2 KEY M NVMe SSD Support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 50.1664%;\"\u003e\u003cstrong\u003eGNSS\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 49.8336%;\"\u003eGPS \/ GLONASS \/ Beidou \/ Galileo \/ QZSS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 50.1664%;\"\u003e\u003cstrong\u003ePower Input\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 49.8336%;\"\u003e9V – 20V DC (Max 60W)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 50.1664%;\"\u003e\u003cstrong\u003eOperating Temperature\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 49.8336%;\"\u003e-25°C to +65°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5938px; text-align: center; width: 50.1664%;\"\u003e\u003cstrong\u003eAntenna Connectors\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5938px; text-align: center; width: 49.8336%;\"\u003e4 × SMA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePart List\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 156.75px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5938px; width: 50.3375%; text-align: center;\"\u003e\u003cstrong\u003e\u003cspan\u003eA608 Carrier Board for Jetson Orin™ NX \/ Orin™ Nano\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding-top: 8px; padding-right: 8px; padding-bottom: 8px; height: 19.5938px; text-align: center; width: 49.6625%;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5938px; width: 50.3375%; text-align: center;\"\u003e\u003cstrong\u003e\u003cspan\u003eJetson Orin NX \/ Orin Nano Module \u003cspan style=\"color: rgb(255, 42, 0);\"\u003eOPTIONS\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding-top: 8px; padding-right: 8px; padding-bottom: 8px; height: 19.5938px; text-align: center; width: 49.6625%;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5938px; width: 50.3375%; text-align: center;\"\u003e\u003cb\u003eCooling Fan \/ Heatsink\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding-top: 8px; padding-right: 8px; padding-bottom: 8px; height: 19.5938px; text-align: center; width: 49.6625%;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5938px; width: 50.3375%; text-align: center;\"\u003e\u003cstrong\u003e\u003cspan\u003e240GB NVMe SSD\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding-top: 8px; padding-right: 8px; padding-bottom: 8px; height: 19.5938px; text-align: center; width: 49.6625%;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5938px; width: 50.3375%; text-align: center;\"\u003e\u003cstrong\u003e\u003cspan\u003eRM520N-GL 5G Module\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding-top: 8px; padding-right: 8px; padding-bottom: 8px; height: 19.5938px; text-align: center; width: 49.6625%;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5938px; width: 50.3375%; text-align: center;\"\u003e\u003cstrong\u003e\u003cspan\u003e5G Antennas\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding-top: 8px; padding-right: 8px; padding-bottom: 8px; height: 19.5938px; text-align: center; width: 49.6625%;\"\u003ex4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5938px; width: 50.3375%; text-align: center;\"\u003e\u003cstrong\u003ePower Supply\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding-top: 8px; padding-right: 8px; padding-bottom: 8px; height: 19.5938px; text-align: center; width: 49.6625%;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5938px; width: 50.3375%; text-align: center;\"\u003e\u003cstrong\u003e\u003cspan\u003eAluminium Case \/ Enclosure\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding-top: 8px; padding-right: 8px; padding-bottom: 8px; height: 19.5938px; text-align: center; width: 49.6625%;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"with Orin Nano 8GB","offer_id":51478529900861,"sku":"SBC1080-1","price":126249.99,"currency_code":"INR","in_stock":true},{"title":"with Orin NX 8GB","offer_id":51478529966397,"sku":"SBC1080-2","price":159299.99,"currency_code":"INR","in_stock":true},{"title":"with Orin NX 16GB","offer_id":51478530031933,"sku":"SBC1080-3","price":199549.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/5G-IOT-Hub-6.png?v=1773143508"},{"product_id":"raspberry-pi-official-10-1inch-capacitive-touch-display-2-ips-1200x1920","title":"Raspberry Pi Official 10.1inch Capacitive Touch Display 2 (IPS, 1200x1920)","description":"\u003cdiv class=\"tab-section tab-pane active\" id=\"tab-description\"\u003e\n\u003cdiv class=\"std\"\u003e\n\u003cdiv class=\"richWrap\"\u003e\n\u003cdiv class=\"pdT\" style=\"text-align: center; padding: clamp(8px,2vw,15px); font-size: clamp(13px,2vw,16px); font-weight: 600; box-sizing: border-box; background: #e4e4e4;\"\u003e\n\u003ch2 class=\"richTitle\" style=\"color: #ce224e;\"\u003eRaspberry Pi 10.1\" Touch Display 2\u003c\/h2\u003e\n\u003cp class=\"hilitBlock2 richDesc\" style=\"color: #ffffff; font-weight: bold; font-size: clamp(15px,3vw,18px); text-align: center; display: block; padding: 15px; word-wrap: break-word; background: #ce224e;\"\u003eDesigned by Raspberry Pi\u003c\/p\u003e\n\u003cimg alt=\"Official Raspberry Pi 10.1inch Capacitive Touch Display, front and back view\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-details-1.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cdiv\u003e\n\u003cul style=\"display: flex; flex-wrap: wrap; gap: 15px; justify-content: center; align-items: flex-start; list-style: none; padding: 0; margin: 12px 0;\"\u003e\n\u003cli style=\"flex: 1; min-width: 120px; max-width: 200px; text-align: center; list-style: none;\"\u003e\n\u003cspan class=\"igKey\"\u003eSize\u003c\/span\u003e\u003cimg alt=\"size: 10.1inch\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/250\/Dimension.png\" style=\"max-width: 100%; width: 100%; height: auto; display: block;\"\u003e\u003cspan class=\"igValue\"\u003e10.1\"\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"flex: 1; min-width: 120px; max-width: 200px; text-align: center; list-style: none;\"\u003e\n\u003cspan class=\"igKey\"\u003eResolution\u003c\/span\u003e\u003cimg alt=\"resolution: 1200 × 1920\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/250\/Resolution.png\" style=\"max-width: 100%; width: 100%; height: auto; display: block;\"\u003e\u003cspan class=\"igValue\"\u003e1200 × 1920\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"flex: 1; min-width: 120px; max-width: 200px; text-align: center; list-style: none;\"\u003e\n\u003cspan class=\"igKey\"\u003eDisplay Interface\u003c\/span\u003e\u003cimg alt=\"display interface: DSI\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/250\/mipi.png\" style=\"max-width: 100%; width: 100%; height: auto; display: block;\"\u003e\u003cspan class=\"igValue\"\u003eDSI\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"flex: 1; min-width: 120px; max-width: 200px; text-align: center; list-style: none;\"\u003e\n\u003cspan class=\"igKey\"\u003eDisplay Panel\u003c\/span\u003e\u003cimg alt=\"Display Panel: IPS\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/250\/IPS.png\" style=\"max-width: 100%; width: 100%; height: auto; display: block;\"\u003e\u003cspan class=\"igValue\"\u003eIPS\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"flex: 1; min-width: 120px; max-width: 200px; text-align: center; list-style: none;\"\u003e\n\u003cspan class=\"igKey\"\u003eViewing Angle\u003c\/span\u003e\u003cimg alt=\"Viewing_angle: 170°\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/250\/Viewing_angle.png\" style=\"max-width: 100%; width: 100%; height: auto; display: block;\"\u003e\u003cspan class=\"igValue\"\u003e170°\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"flex: 1; min-width: 120px; max-width: 200px; text-align: center; list-style: none;\"\u003e\n\u003cspan class=\"igKey\"\u003eTouch Type\u003c\/span\u003e\u003cimg alt=\"Touch_type: Capacitive\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/250\/Capacitive_touch.png\" style=\"max-width: 100%; width: 100%; height: auto; display: block;\"\u003e\u003cspan class=\"igValue\"\u003eCapacitive\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"flex: 1; min-width: 120px; max-width: 200px; text-align: center; list-style: none;\"\u003e\n\u003cspan class=\"igKey\"\u003eTouch Points\u003c\/span\u003e\u003cimg alt=\"Touch Points: 10-Point\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/250\/Five_touch.png\" style=\"max-width: 100%; width: 100%; height: auto; display: block;\"\u003e\u003cspan class=\"igValue\"\u003e10-Point\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"flex: 1; min-width: 120px; max-width: 200px; text-align: center; list-style: none;\"\u003e\n\u003cspan class=\"igKey\"\u003eTouch Interface\u003c\/span\u003e\u003cimg alt=\"touch_interface: I2C\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/250\/I2C.png\" style=\"max-width: 100%; width: 100%; height: auto; display: block;\"\u003e\u003cspan class=\"igValue\"\u003eI2C\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"flex: 1; min-width: 120px; max-width: 200px; text-align: center; list-style: none;\"\u003e\n\u003cspan class=\"igKey\"\u003eBrightness\u003c\/span\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/250\/Brightness.png\" style=\"max-width: 100%; width: 100%; height: auto; display: block;\"\u003e\u003cspan class=\"igValue\"\u003e400cd\/㎡\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv class=\"sep0px\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cul id=\"IconGrid\" style=\"display: flex; flex-wrap: wrap; gap: 15px; justify-content: center; align-items: flex-start; list-style: none; padding: 0; margin: 12px 0;\"\u003e\u003c\/ul\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cdiv class=\"pdT\" style=\"text-align: center; padding: clamp(8px,2vw,15px); font-size: clamp(13px,2vw,16px); font-weight: 600; box-sizing: border-box; background: #dadada;\"\u003e\n\u003ch2 class=\"richTitle\" style=\"color: #ce224e;\"\u003eProduct Introduction\u003c\/h2\u003e\n\u003cdiv class=\"alignl pdTRBL2\"\u003e\n\u003cp style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cstrong\u003e10.1inch Raspberry Pi Touch Display 2\u003c\/strong\u003e is a 10.1inch touchscreen display for Raspberry Pi. Featuring an IPS display panel with a 1200 × 1920 resolution and 10-point capacitive touch support, it provides a smooth and convenient human-machine interaction experience for Raspberry Pi projects.\u003c\/p\u003e\n\u003cp style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003eThe display connects to the Raspberry Pi via the MIPI DSI interface and is powered through the GPIO header, offering a simple and reliable connection. When used with Raspberry Pi OS, the display supports touch functionality and an on‑screen keyboard, without requiring additional drivers or complex configuration.\u003c\/p\u003e\n\u003cp style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003eWith a large display area and flexible touch interaction, it is suitable for various applications such as smart home control panels, information display terminals, self-service kiosks, and robot interaction interfaces.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cimg alt=\"Official Raspberry Pi 10.1inch Capacitive Touch Display, connecting with Pi5\" class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-details-3.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cp class=\"note\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cem\u003e* for reference only, the above controller boards or hosts are NOT included.\u003c\/em\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003ch2 class=\"richTitle\" style=\"color: #ce224e;\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 class=\"richTitle\" style=\"color: rgb(206, 34, 78); text-align: center;\"\u003eDevice \u0026amp; System Support\u003c\/h2\u003e\n\u003cbr\u003e\n\u003cdiv class=\"richGridWrap richGridWrap-img4txt6\" style=\"display: flex; flex-wrap: wrap; gap: 15px; justify-content: center; align-items: flex-start;\"\u003e\n\u003cimg alt=\"Supports Raspberry Pi 5 \/ CM5 \/ CM4\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/CM5_CM4_Pi5_440.jpg\" style=\"display: block; height: auto; margin: 5px auto; flex: 1; min-width: 250px; max-width: 400px;\"\u003e\n\u003cdiv style=\"flex: 1; min-width: 250px; max-width: 400px; text-align: center;\"\u003e\n\u003cdiv class=\"largerBlock\"\u003eRaspberry Pi 5 \/ CM5 \/ CM4\u003c\/div\u003e\n\u003cp style=\"font-size: clamp(14px,2vw,16px); font-weight: 400; line-height: 1.7; margin: 10px 0; color: #555; text-align: left; word-wrap: break-word;\"\u003eSupports Raspberry Pi OS, 10-point touch\u003c\/p\u003e\n\u003cp class=\"noteBg\" style=\"font-size: clamp(14px,2vw,16px); font-weight: 400; line-height: 1.7; margin: 10px 0; color: #555; text-align: left; word-wrap: break-word;\"\u003eNote: CM4 only supports 4-lane DSI on DSI1. When using this display, a CM4 baseboard that supports 4-lane DSI is also required for proper operation. Some baseboards with a 15pin DSI connector may not be compatible.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\" style=\"color: #ce224e;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"color: rgb(206, 34, 78); text-align: center;\"\u003eConnection Examples\u003c\/h2\u003e\n\u003cp class=\"hilitBlock2 richDesc\" style=\"color: #ffffff; font-weight: bold; font-size: clamp(15px,3vw,18px); text-align: center; display: block; padding: 15px; word-wrap: break-word; background: #ce224e;\"\u003eWorking with Raspberry Pi 5\u003c\/p\u003e\n\u003cimg alt=\"Official Raspberry Pi 10.1inch Capacitive Touch Display, working with Raspberry Pi 5\" class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-details-5.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003cp class=\"hilitBlock2 richDesc\" style=\"color: #ffffff; font-weight: bold; font-size: clamp(15px,3vw,18px); text-align: center; display: block; padding: 15px; word-wrap: break-word; background: #ce224e;\"\u003eWorking with Compute Module 5\u003c\/p\u003e\n\u003cimg alt=\"Official Raspberry Pi 10.1inch Capacitive Touch Display, working with Compute Module 5\" class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-details-7.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\" style=\"text-align: center; padding: clamp(8px,2vw,15px); font-size: clamp(13px,2vw,16px); font-weight: 600; box-sizing: border-box; background: #e6e6e6;\"\u003e\n\u003cp class=\"richTitle\" style=\"color: #ce224e;\"\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch2 class=\"richTitle\" style=\"color: #ce224e;\"\u003eHow to install\u003c\/h2\u003e\n\u003cimg alt=\"Official Raspberry Pi 10.1inch Capacitive Touch Display, how to install\" class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-details-9.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003cp class=\"note\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word;\"\u003ePlease connect the DSI cable as shown above, and power the LCD through the GPIO 5V pin\u003c\/p\u003e\n\u003cp style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(171, 171, 171); overflow-wrap: break-word;\"\u003e\u003cspan style=\"color: rgb(128, 128, 128);\"\u003e* for reference only, the Raspberry Pi boards above are NOT included.\u003c\/span\u003e\u003c\/p\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\" style=\"color: #ce224e;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"color: rgb(206, 34, 78); text-align: center;\"\u003eIPS Display Panel\u003c\/h2\u003e\n\u003cp class=\"pdTRBL\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003eExcellent Display Performance With 170° Wide Viewing Angle\u003c\/p\u003e\n\u003cimg alt=\"Official Raspberry Pi 10.1inch Capacitive Touch Display, adopts IPS display panel\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-details-11.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\" style=\"color: #ce224e;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"color: rgb(206, 34, 78); text-align: center;\"\u003e10-Point Capacitive Touch\u003c\/h2\u003e\n\u003cp class=\"richDesc\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003eup to 10-point touch, depending on the operating system\u003c\/p\u003e\n\u003cimg alt=\"Official Raspberry Pi 10.1inch Capacitive Touch Display, supports 10-point capacitive touch\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-details-13.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\" style=\"color: #ce224e;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"color: rgb(206, 34, 78); text-align: center;\"\u003eInterface Introduction\u003c\/h2\u003e\n\u003cimg alt=\"Official Raspberry Pi 10.1inch Capacitive Touch Display, interface introduction\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-details-15.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\" style=\"color: #ce224e;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"color: rgb(206, 34, 78); text-align: center;\"\u003eDimensions\u003c\/h2\u003e\n\u003cimg alt=\"Official Raspberry Pi 10.1inch Capacitive Touch Display, outline dimensions\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-details-size-1.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eResources \u0026amp; Services\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/res_banner.png\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003cdiv class=\"bgGrey\" style=\"text-align: center;\"\u003e\n\u003cstrong\u003eWiki: \u003c\/strong\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003cem\u003e\u003c\/em\u003e\u003c\/span\u003e\u003cem style=\"text-align: center;\"\u003e\u003ca class=\"wikilink\" href=\"https:\/\/docs.waveshare.com\/10.1inch_Raspberry_Pi_Touch_Display_2\" target=\"_blank\"\u003edocs.waveshare.com\/10.1inch_Raspberry_Pi_Touch_Display_2\u003c\/a\u003e\u003c\/em\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"bgGrey\" style=\"text-align: center;\"\u003e\n\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"bgGrey\" style=\"text-align: center;\"\u003e\n\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"bgGrey\" style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tab-section tab-pane\" id=\"tab-package_content\"\u003e\n\u003ch2 style=\"font-size: clamp(18px,4vw,30px); color: #2c3e50; font-weight: bold; margin: 24px 0 14px; text-align: center; border-bottom: 3px solid #3498db; padding-bottom: 8px; line-height: 1.3;\"\u003ePackage Content\u003c\/h2\u003e\n\u003cdiv class=\"std\"\u003e\n\u003col style=\"padding-left: clamp(15px,4vw,25px); margin: 12px 0; width: 100%; box-sizing: border-box;\"\u003e\n\u003cli style=\"font-size: clamp(13px,2vw,15px); font-weight: 400; margin: 6px 0; line-height: 1.6; text-align: left; word-wrap: break-word;\"\u003e10.1inch Raspberry Pi Touch Display 2 x1\u003c\/li\u003e\n\u003cli style=\"font-size: clamp(13px,2vw,15px); font-weight: 400; margin: 6px 0; line-height: 1.6; text-align: left; word-wrap: break-word;\"\u003e22PIN to 22PIN FPC cable x1\u003c\/li\u003e\n\u003cli style=\"font-size: clamp(13px,2vw,15px); font-weight: 400; margin: 6px 0; line-height: 1.6; text-align: left; word-wrap: break-word;\"\u003eGPIO cable x1\u003c\/li\u003e\n\u003cli style=\"font-size: clamp(13px,2vw,15px); font-weight: 400; margin: 6px 0; line-height: 1.6; text-align: left; word-wrap: break-word;\"\u003eScrews pack x1\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cimg alt=\"10.1inch Raspberry Pi Touch Display 2\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-pack.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003cdiv class=\"sep0px\" style=\"text-align: center;\"\u003e\n\u003cstrong\u003eWeight: \u003c\/strong\u003e\u003cspan\u003e0.603 kg\u003c\/span\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":52929036845373,"sku":"WVSH0642","price":87949.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/10.1inch-raspberry-pi-touch-display-2-1.jpg?v=1787736499"},{"product_id":"ov4689-4mp-usb-camera-a-92-fov-type-c-sh1-0-4pin-header","title":"OV4689 4MP USB Camera (A) - 92° FOV, Type-C, SH1.0 4PIN header","description":"\u003cdiv class=\"tab-section tab-pane active\" id=\"tab-description\"\u003e\n\u003cdiv class=\"std\"\u003e\n\u003cdiv class=\"richWrap\"\u003e\n\u003cdiv class=\"pdT\" style=\"text-align: center; padding: clamp(8px,2vw,15px); font-size: clamp(13px,2vw,16px); font-weight: 600; box-sizing: border-box; background-color: #dde0e5;\"\u003e\n\u003ch2 class=\"richTitle textUpper\"\u003e\u003cspan style=\"color: rgb(89, 162, 16);\"\u003eOV4689 4MP USB camera\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp class=\"richDesc\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cstrong\u003eOV4689 sensor | USB 2.0 Type-C port | 92° distortion-free lens\u003c\/strong\u003e\u003c\/p\u003e\n\u003cimg alt=\"OV4689 4MP USB Camera (A), front view\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-details-1.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eSpecifications\u003c\/h2\u003e\n\u003cdiv style=\"overflow-x: auto; -webkit-overflow-scrolling: touch; width: 100%; margin: 12px 0;\"\u003e\n\u003ctable class=\"tabSty-2 mgnTB subBlock alignc\" style=\"min-width: 600px; border-collapse: collapse; width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth style=\"background: rgb(52, 73, 94); color: rgb(255, 255, 255); padding: 10px 12px; border: 1px solid rgb(85, 85, 85); font-weight: 600; white-space: nowrap; font-size: clamp(12px, 1.8vw, 14px); text-align: center;\" width=\"18%\"\u003ePixels\u003c\/th\u003e\n\u003ctd colspan=\"2\" style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e4MP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"background: rgb(52, 73, 94); color: rgb(255, 255, 255); padding: 10px 12px; border: 1px solid rgb(85, 85, 85); font-weight: 600; white-space: nowrap; font-size: clamp(12px, 1.8vw, 14px); text-align: center;\"\u003eSensor\u003c\/th\u003e\n\u003ctd colspan=\"2\" style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eOV4689\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"background: rgb(52, 73, 94); color: rgb(255, 255, 255); padding: 10px 12px; border: 1px solid rgb(85, 85, 85); font-weight: 600; white-space: nowrap; font-size: clamp(12px, 1.8vw, 14px); text-align: center;\"\u003eInterface\u003c\/th\u003e\n\u003ctd colspan=\"2\" style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eUSB2.0 Type-C port \/ SH1.0 4PIN header\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth rowspan=\"6\" style=\"background: rgb(52, 73, 94); color: rgb(255, 255, 255); padding: 10px 12px; border: 1px solid rgb(85, 85, 85); font-weight: 600; white-space: nowrap; font-size: clamp(12px, 1.8vw, 14px); text-align: center;\"\u003eCamera\u003c\/th\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\" width=\"22%\"\u003eSensor size\u003c\/td\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e1\/3 inch\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eAperture (F)\u003c\/td\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e2.7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eFocal length (EFL)\u003c\/td\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e2.88mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eField of view (FOV)\u003c\/td\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e92°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eDistortion\u003c\/td\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e\u0026lt;-0.2%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eFocusing\u003c\/td\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eFixed-focus\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"background: rgb(52, 73, 94); color: rgb(255, 255, 255); padding: 10px 12px; border: 1px solid rgb(85, 85, 85); font-weight: 600; white-space: nowrap; font-size: clamp(12px, 1.8vw, 14px); text-align: center;\"\u003eMount\u003c\/th\u003e\n\u003ctd colspan=\"2\" style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eM12\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth rowspan=\"3\" style=\"background: rgb(52, 73, 94); color: rgb(255, 255, 255); padding: 10px 12px; border: 1px solid rgb(85, 85, 85); font-weight: 600; white-space: nowrap; font-size: clamp(12px, 1.8vw, 14px); text-align: center;\"\u003eImage\u003c\/th\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eFormat support\u003c\/td\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eMJPG, YUY2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eStatic image resolution\u003c\/td\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e2688 × 1520\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eVideo recording\u003c\/td\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eMJPG:\u003cbr\u003e30 FPS 2688 × 1520\u003cbr\u003e30 FPS 2560 × 1440\u003cbr\u003e60 FPS 1920 × 1080\u003cbr\u003e60 FPS 1280 × 720\u003cbr\u003e60 FPS 640 × 480\u003cbr\u003eYUY2:\u003cbr\u003e2 FPS 2688 × 1520\u003cbr\u003e2 FPS 2560 × 1440\u003cbr\u003e5 FPS 1920 × 1080\u003cbr\u003e10 FPS 1280 × 720\u003cbr\u003e30 FPS 640 × 480\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"background: rgb(52, 73, 94); color: rgb(255, 255, 255); padding: 10px 12px; border: 1px solid rgb(85, 85, 85); font-weight: 600; white-space: nowrap; font-size: clamp(12px, 1.8vw, 14px); text-align: center;\"\u003eOperating voltage\u003c\/th\u003e\n\u003ctd colspan=\"2\" style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e5V ± 5%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"background: rgb(52, 73, 94); color: rgb(255, 255, 255); padding: 10px 12px; border: 1px solid rgb(85, 85, 85); font-weight: 600; white-space: nowrap; font-size: clamp(12px, 1.8vw, 14px); text-align: center;\"\u003eoperating temperature\u003c\/th\u003e\n\u003ctd colspan=\"2\" style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e-10°C ~ 60°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"background: rgb(52, 73, 94); color: rgb(255, 255, 255); padding: 10px 12px; border: 1px solid rgb(85, 85, 85); font-weight: 600; white-space: nowrap; font-size: clamp(12px, 1.8vw, 14px); text-align: center;\"\u003eModule size\u003c\/th\u003e\n\u003ctd colspan=\"2\" style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e25.00 × 25.00 (mm)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003e4MP High resolution\u003c\/h2\u003e\n\u003cp class=\"richDesc\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cstrong\u003eSupports 60 FPS output, suitable for capturing details\u003c\/strong\u003e\u003c\/p\u003e\n\u003cimg alt=\"OV4689 4MP USB Camera (A), supports 4MP high resolution\" class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-details-3.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cp class=\"richTitle\" style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eBetter Low-light sensitivity\u003c\/h2\u003e\n\u003cp class=\"richDesc\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cstrong\u003eOV4689 adopts Backside-Illuminated (BSI) technology, providing better imaging effect in low light condition\u003c\/strong\u003e\u003c\/p\u003e\n\u003cbr\u003e\u003cimg alt=\"OV4689 4MP USB Camera (A), adopts distortion-free lens\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-details-5.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cp class=\"richTitle\" style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003ePlug and Play, Easy Connection\u003c\/h2\u003e\n\u003cp class=\"richDesc\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; padding: 0px 3em; text-align: center;\"\u003e\u003cstrong\u003eOnboard USB 2.0 port, driver-free, compatible with various USB hosts such as PC and smart devices, simply plug it in to start using\u003c\/strong\u003e\u003c\/p\u003e\n\u003cimg alt=\"OV4689 4MP USB Camera (A) connected to computer for shooting\" class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-details-9.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003cp class=\"note\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cem\u003e* for reference only, please refer to the package content for the detailed part list.\u003c\/em\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch3 class=\"richTitle\" style=\"text-align: center;\"\u003eConnecting with USB cable\u003c\/h3\u003e\n\u003cdiv class=\"richGridWrap richGridWrap-3c richGridWrap-valignTop mgnTB\" style=\"display: flex; flex-wrap: wrap; gap: 15px; justify-content: center; align-items: flex-start;\"\u003e\n\u003cdiv style=\"flex: 1; min-width: 250px; max-width: 400px; text-align: center;\"\u003e\n\u003cimg alt=\"OV4689 4MP USB Camera (A), connecting to Raspberry Pi 5\" class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-details-7-1.jpg\" style=\"max-width: 100%; width: 100%; height: auto; display: block; border: 1px solid #ccc; padding: 5px;\"\u003e\n\u003ch3 style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cstrong\u003eConnecting to Raspberry Pi 5\u003c\/strong\u003e\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 1; min-width: 250px; max-width: 400px; text-align: center;\"\u003e\n\u003cimg alt=\"OV4689 4MP USB Camera (A), Connecting to Jetson Orin kit\" class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-details-7-2.jpg\" style=\"max-width: 100%; width: 100%; height: auto; display: block; border: 1px solid #ccc; padding: 5px;\"\u003e\n\u003ch3 style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cstrong\u003eConnecting to Jetson Orin kit\u003c\/strong\u003e\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 1; min-width: 250px; max-width: 400px; text-align: center;\"\u003e\n\u003cimg alt=\"OV4689 4MP USB Camera (A), Connecting to RDK X5 Development Board\" class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-details-7-3.jpg\" style=\"max-width: 100%; width: 100%; height: auto; display: block; border: 1px solid #ccc; padding: 5px;\"\u003e\n\u003ch3 style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cstrong\u003eConnecting to RDK X5 Development Board\u003c\/strong\u003e\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp class=\"note\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cem\u003e* for reference only, the \u003ca href=\"\/ar\/raspberry-pi-5.htm\" style=\"color: rgb(255, 42, 0);\" target=\"_blank\"\u003eRaspberry Pi 5\u003c\/a\u003e, \u003ca href=\"\/ar\/jetson-orin-nx-16g-dev-kit.htm\" style=\"color: rgb(255, 42, 0);\" target=\"_blank\"\u003eJetson Orin kit\u003c\/a\u003e and \u003ca href=\"\/rdk-x5.htm?sku=28741\" style=\"color: rgb(255, 42, 0);\" target=\"_blank\"\u003eRDK X5 Development Board\u003c\/a\u003e are NOT included\u003c\/em\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003ePinout Definition\u003c\/h2\u003e\n\u003cimg alt=\"OV4689 4MP USB Camera (A), pinout definition\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-details-13.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eOutline Dimensions\u003c\/h2\u003e\n\u003cimg alt=\"OV4689 4MP USB Camera (A), outline dimensions\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-details-size.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eResources \u0026amp; Services\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/res_banner.png\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003cdiv class=\"bgGrey\" style=\"text-align: center;\"\u003e\n\u003cstrong\u003eWiki: \u003c\/strong\u003e\u003cem\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca class=\"wikilink\" href=\"http:\/\/docs.waveshare.com\/OV4689-4MP-USB-Camera-A\" target=\"_blank\"\u003edocs.waveshare.com\/OV4689-4MP-USB-Camera-A\u003c\/a\u003e\u003c\/span\u003e\u003c\/em\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"overflow-x: auto; -webkit-overflow-scrolling: touch; width: 100%; margin: 12px 0;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tab-section tab-pane\" id=\"tab-package_content\"\u003e\n\u003cp style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cstrong\u003eWeight: \u003c\/strong\u003e\u003cspan\u003e0.015 kg\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"font-size: clamp(18px,4vw,30px); color: #2c3e50; font-weight: bold; margin: 24px 0 14px; text-align: center; border-bottom: 3px solid #3498db; padding-bottom: 8px; line-height: 1.3;\"\u003ePackage Content\u003c\/h2\u003e\n\u003cdiv class=\"std\"\u003e\n\u003col style=\"padding-left: clamp(15px,4vw,25px); margin: 12px 0; width: 100%; box-sizing: border-box;\"\u003e\n\u003cli style=\"font-size: clamp(13px,2vw,15px); font-weight: 400; margin: 6px 0; line-height: 1.6; text-align: left; word-wrap: break-word;\"\u003eOV4689 4MP USB Camera (A) x1\u003c\/li\u003e\n\u003cli style=\"font-size: clamp(13px,2vw,15px); font-weight: 400; margin: 6px 0; line-height: 1.6; text-align: left; word-wrap: break-word;\"\u003eSH1.0 4PIN dual plug cable x1\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cdiv class=\"imgTextWrap\" style=\"display: flex !important; flex-wrap: wrap !important; gap: 15px !important; justify-content: center !important; align-items: center !important; margin: 10px 0 !important;\"\u003e\n\u003cdiv\u003e1 \u003ca href=\"\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-1.jpg\"\u003e \u003cimg alt=\"OV4689 4MP USB Camera (A)\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-1_220.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e \u003c\/a\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e2 \u003ca href=\"\/img\/devkit\/general\/4PIN_dual_cable.jpg\"\u003e \u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/general\/4PIN_dual_cable_93.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e \u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":52935278985533,"sku":"WVSH0649","price":2249.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ov4689-4mp-usb-camera-a-1.jpg?v=1787812512"},{"product_id":"recomputer-mini-j5012-with-gmsl-edge-ai-computer-nvidia-jetson-agx-orin-64gb","title":"reComputer Mini J5012 with GMSL - Ultra-Compact Edge AI Computer with NVIDIA Jetson AGX Orin 64GB","description":"\u003cdiv class=\"page-title-wrapper product\"\u003e\n\u003ch1 class=\"page-title\" style=\"text-align: center;\"\u003e\n\u003cspan class=\"base\" data-ui-id=\"page-title-wrapper\" itemprop=\"name\"\u003ereComputer Mini J5012 with GMSL - Ultra-Compact Edge AI Computer with NVIDIA Jetson AGX Orin 64GB\u003c\/span\u003e\u003cspan class=\"base\" data-ui-id=\"page-title-wrapper\" itemprop=\"name\"\u003e\u003c\/span\u003e\n\u003c\/h1\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"product-info-price product-info-box\"\u003e\n\u003cp style=\"text-align: center;\"\u003ereComputer Mini J5012 with GMSL is an open-source, Ultra-Compact Edge AI Computer powered by the Jetson AGX Orin™ 64GB module. Delivering up to 275 TOPS and featuring rich IOs, including CAN, USB, Ethernet,RS-485, I2S and GMSL extension, per-installed JP6.2 (supports 7.2), making it a perfect candidate for humanoid controller and rapid prototyping. With the AGX Orin module, reComputer Mini J5012 is a perfect alternative option for NVIDIA® Jetson AGX Orin™ Developer Kit\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eFeature\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003ePowerful Embodied AI Platform\u003c\/strong\u003e Paired with the Jetson AGX Orin 64GB, offering up to 275 TOPS. Perfect platform for embodied AI and ultra-compact edge application development.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eUltra-Compact Size\u003c\/strong\u003e 119mm x 119mm footprint, suitable for robot prototyping and development, especially robots that has tight footprint such as humanoids.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eWide Voltage Input Range\u003c\/strong\u003e Can be used in 48V power system (max 54V input).\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eRich IO Capabilities\u003c\/strong\u003e Includes most common IOs used in robotics prototyping, such as USB, 10G Ethernet, 1G Ethernet, CAN, RS-485, GPI, GPO and I2S.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eVision AI Support\u003c\/strong\u003e Features 8x GMSL2 cameras, making it ideal for vision AI applications such as BEV, Occupancy Grid, SLAM etc.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/111-photo\/reComputer_Mini_J5012_with_GMSL_2x.png\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003ch2 style=\"text-align: center;\"\u003eSpecification\u003c\/h2\u003e\n\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\" style=\"width: 100%;\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth style=\"text-align: center; width: 25%;\"\u003e\u003cstrong\u003eProduct\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"text-align: center; width: 36.5702%;\"\u003e\u003cstrong\u003ereComputer Mini J5011 with GMSL\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"text-align: center; width: 38.4298%;\"\u003e\u003cstrong\u003ereComputer Mini J5012 with GMSL\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eModule\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eJetson AGX Orin 32GB\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003eJetson AGX Orin 64GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eAI Performance\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003e200 TOPS\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e275 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eNVIDIA GPU Cores\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003e1792 CUDA Cores with 56 Tensor Cores\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e2048 CUDA Cores with 64 Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eGPU Max Frequency\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003e930 MHz\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e1.3 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eCPU\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003e8x A78 2.2 GHz\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e12x A78 2.2 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eMemory\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003e32GB 256-bit LPDDR5 204.8GB\/s\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e64GB 256-bit LPDDR5 204.8GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eStorage\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 75%;\"\u003e64GB eMMC5.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eVideo Encoder\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003e1x 4K60 (H.265)\u003cbr\u003e3x 4K30 (H.265)\u003cbr\u003e6x 1080p60 (H.265)\u003cbr\u003e12x 1080p30 (H.265)\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e2x 4K60 (H.265)\u003cbr\u003e4x 4K30 (H.265)\u003cbr\u003e8x 1080p60 (H.265)\u003cbr\u003e16x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eVideo Decoder\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003e1x 8K30 (H.265)\u003cbr\u003e2x 4K60 (H.265)\u003cbr\u003e4x 4K30 (H.265)\u003cbr\u003e9x 1080p60 (H.265)\u003cbr\u003e18x 1080p30 (H.265)\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e1x 8K30 (H.265)\u003cbr\u003e3x 4K60 (H.265)\u003cbr\u003e7x 4K30 (H.265)\u003cbr\u003e11x 1080p60 (H.265)\u003cbr\u003e22x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eModule Power\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003e15W | 40W\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e15W | 60W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eJetPack\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 75%;\"\u003eJetPack 6.2 (\u003ca href=\"https:\/\/wiki.seeedstudio.com\/recomputer_j501_mini_getting_started\/\"\u003esupprots JP7.2\u003c\/a\u003e)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"3\" style=\"text-align: center; width: 100%;\"\u003e\u003cstrong\u003eCarrier Board\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eStorage\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 75%;\"\u003e1x M.2 KEY M for NVMe SSD (128G SSD included)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"2\" style=\"text-align: center; width: 25%;\"\u003eNetworking\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eM.2 KEY E\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e1x M.2 Key E for WiFi\/BT module\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eEthernet\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e1x RJ45 Gigabit Ethernet\u003cbr\u003e1x RJ45 10 Gigabit Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"11\" style=\"text-align: center; width: 25%;\"\u003eI\/O\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eUSB\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e2x USB 3.2 Type-A (5Gbps)\u003cbr\u003e1x USB 2.0 Type-C (Debug)\u003cbr\u003e1x USB 3.0 Type-C (Recovery)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eCamera\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e8x GMSL2 (Optional)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eCAN\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e2x CAN (Isolated)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eRS-485\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e1x RS-485 (Isolated)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eIO\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e4x GPI (3.3V)\u003cbr\u003e4x GPO (3.3V)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eI2S\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e1x I2S (3.3V)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eDisplay\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e1x HDMI 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eFan\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e1x 4-Pin Fan Connector (12V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eRTC\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e1x RTC 2-pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eLED\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e3x LED (PWR\/ACT\/USR)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eButton\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e1x Reset\u003cbr\u003e1x Recovery\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003ePower\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 75%;\"\u003e1x XT30 Connector (19-48V DC, Max 54V Input)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"3\" style=\"text-align: center; width: 25%;\"\u003eMechanical\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eDimensions (W x D x H)\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e119mm x 119mm x 100mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eWeight\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e1325g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eInstallation\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003eDesk\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eOperating Temperature\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 75%;\"\u003e-10℃~60℃\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eWarranty\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 75%;\"\u003e2 Years\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eCertification\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 75%;\"\u003eRoHS, CE, FCC, KC Vibration Test(GB\/T 2423)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eCompatible GMSL Cameras supported in Jetpack\u003c\/h2\u003e\n\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\" style=\"width: 100%; height: 117.563px;\"\u003e\n\u003cthead\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003cth style=\"text-align: center; width: 24.222%; height: 19.5938px;\"\u003e\u003cstrong\u003eManufactuer\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"text-align: center; width: 43.4798%; height: 19.5938px;\"\u003e\u003cstrong\u003eModel\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"text-align: center; width: 23.2447%; height: 19.5938px;\"\u003e\u003cstrong\u003eResolution\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd rowspan=\"4\" style=\"text-align: center; width: 24.222%; height: 78.3752px;\"\u003eSensing\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 43.4798%; height: 19.5938px;\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/SG3S-ISX031C-GMSL2F-p-6245.html\"\u003eSG3S-ISX031C-GMSL2F\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 23.2447%; height: 19.5938px;\"\u003e1920H*1536V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"text-align: center; width: 43.4798%; height: 19.5938px;\"\u003eSG2-AR0233C-5200-G2A\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 23.2447%; height: 19.5938px;\"\u003e1920H*1080V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"text-align: center; width: 43.4798%; height: 19.5938px;\"\u003eSG2-IMX390C-5200-G2A\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 23.2447%; height: 19.5938px;\"\u003e1920H*1080V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"text-align: center; width: 43.4798%; height: 19.5938px;\"\u003eSG8S-AR0820C-5300-G2A\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 23.2447%; height: 19.5938px;\"\u003e3840H*2160V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"text-align: center; width: 24.222%; height: 19.5938px;\"\u003eOrbbec\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 43.4798%; height: 19.5938px;\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/Orbbec-Gemini-335LG-3D-Camera-p-6541.html\"\u003eOrbbec Gemini 335LG\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 23.2447%; height: 19.5938px;\"\u003e3D\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eHardware Overview\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/111-photo\/1.hard.100020407.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"image\" src=\"https:\/\/www.seeedstudio.com\/media\/catalog\/product\/h\/a\/hardware_img_2.jpg\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"image\" src=\"https:\/\/www.seeedstudio.com\/media\/catalog\/product\/h\/a\/hardware_img_3.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"image\" src=\"https:\/\/www.seeedstudio.com\/media\/catalog\/product\/h\/a\/hardware_img_4.jpg\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eProduct Application Description\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eHumanoid Robotics\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"image\" src=\"https:\/\/www.seeedstudio.com\/media\/catalog\/product\/a\/p\/application_img_1.jpg\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eAI Robot Development\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"image\" src=\"https:\/\/www.seeedstudio.com\/media\/catalog\/product\/a\/p\/application_img_2.jpg\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003ePowered by the Jetson AGX Orin™ module, this ultra-powerful embedded system accelerates advanced robotics and edge AI development for manufacturing, logistics, and healthcare. Leveraging the NVIDIA Isaac™ platform, it delivers accelerated libraries and generative AI models to elevate robot perception, manipulation, and simulation to the next level.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/isaac?size=n_6_n\u0026amp;sort-field=featured\u0026amp;sort-direction=desc\"\u003eLearn about Issac platform in AI Robot Development.\u003c\/a\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eMulti-Sensor Fusion for Autonomous Mapping \u0026amp; Navigation\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"image\" src=\"https:\/\/www.seeedstudio.com\/media\/catalog\/product\/a\/p\/application_img_3.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003ereComputer Mini J501 supports sensor-rich autonomy by integrating data from LiDAR (via Ethernet\/CAN), 3D cameras (via USB\/CSI), GPS, and IMU (via UART). Using AI models and algorithms like ORB-SLAM, \u003ca href=\"https:\/\/wiki.seeedstudio.com\/a_loam\/\"\u003eA-LOAM\u003c\/a\u003e, or Nav2, it performs sensor fusion, real-time localization, path planning, and obstacle avoidance. The low-latency processing on the AGX Orin SoC allows autonomous systems to adapt to changing terrain or obstacles on the fly. Its wide voltage input and compact form factor make it suitable for mobile deployment, enabling robust, edge-level autonomy without external compute.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eLearn more about \u003ca href=\"https:\/\/wiki.seeedstudio.com\/slamtec\/\"\u003esensor options\u003c\/a\u003e compatible with reComputer Mini J501 to get started.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eCapable of Bringing Generative AI to the Edge\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"image\" src=\"https:\/\/www.seeedstudio.com\/media\/catalog\/product\/a\/p\/application_img_4.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eDeploy Depth Anything v3\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ciframe height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/3Khm3OpLg3M?si=tu5nBwZa9k5gvHh0\" title=\"YouTube video player\" width=\"1270\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003ereComputer Mini J501 enables real-time execution of the \u003cstrong\u003eDepth Anything V3\u003c\/strong\u003e. By processing frames captured from a GMSL camera, the system instantaneously generates high-precision depth maps and reconstructs 3D point cloud spaces. This empowers small-scale mobile robots with exceptional spatial perception, obstacle recognition, and real-time 3D modeling capabilities, making it ideal for low-power, high-performance robotic applications such as outdoor inspection, autonomous delivery, and environmental mapping.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan data-font-family=\"微软雅黑\"\u003eFruit Sorting with Mini J501 and StarAI Follower Arm Viola\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ciframe height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/Tk6jazbZZy0?si=iNc9yvhCA9W8pDxb\" title=\"YouTube video player\" width=\"1270\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003ereComputer Mini J501 and StarAI Follower Arm Viola utilizes the \u003cstrong\u003eLeRobot\u003c\/strong\u003e framework to execute fruit sorting tasks. The project showcases an end-to-end workflow from data collection to deployment, enabling the robot to intelligently grasp and organize fruits\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDesigned for Developers — Out-of-the-Box Experience:\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eTo improve the developer experience, Seeed offers \u003ca href=\"https:\/\/sensecraft.seeed.cc\/ai-lab\"\u003ereComputer AI Lab\u003c\/a\u003e — a platform that helps you deploy AI applications with \u003cstrong\u003eone-click\u003c\/strong\u003e tools and ready-to-use resources. It includes optimized edge AI model demos for CV, LLM, VLM, interactive tutorials, \u003ca href=\"https:\/\/sensecraft.seeed.cc\/ai-lab\/tools\"\u003edeployment tools\u003c\/a\u003e, containerized applications, and community projects to speed up development on Jetson.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/111-photo\/1280X1280_1__1.PNG\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Projects\/Seeed-Jetson-DevelopTool\"\u003eSeeed Jetson Develop Tool\u003c\/a\u003e is a desktop client for all developers who are going to use reComputer Jetson device for the very first time. It brings the common bring-up and development workflow into one GUI: firmware flashing, first-boot initialization, device diagnostics, remote development, app deployment, skill-based automation, OTA updates (Upgrade to \u003cspan style=\"color: #76bc20;\"\u003e\u003cstrong\u003eJetPack7.2\u003c\/strong\u003e\u003c\/span\u003e), and community resources. All we provide here is to help you to get started with Seeed reComputer Jetson hardware much more easily and seamlessly.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/111-photo\/20260720-103903.jpg\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eReady to build a solution for the real world? We have \u003ca href=\"https:\/\/github.com\/Seeed-Projects\/jetson-examples\"\u003eJetson-example\u003c\/a\u003e prepared for you! It offers one-line deployable projects compatible with generative AI large models, including LeRobot, Ollama, Qwen, etc; with computer vision such as Ultraslytics YOLO26. We have configured all environment setups for you to provide a single command deployment of projects, easy to try out\/verify if the trending model performance is suitable for your GPU needs and application scenarios.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"image\" src=\"https:\/\/www.seeedstudio.com\/media\/catalog\/product\/a\/p\/application_img_5.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDocuments\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer_Mini_J501_Datasheet.pdf\"\u003eUser Manual \u0026amp; Datasheet\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer%20Mini%20J501%20Carrier%20Board_Rev1.0_SCH_251027.pdf\"\u003eCarrier Board Schematic\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/Power%20board%20for%20reComputer%20Mini%20J501_V1.0_SCH_251024.pdf\"\u003ePower Board Schematic\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer_Mini_J501_sam.zip\"\u003e3D File\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer_Jetson_AGX_Orin_Series.pdf\"\u003eSelection of reComputer Jetson AGX Orin Series\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-NVIDIA_Jetson_Catalog_V1.4.pdf\"\u003eSeeed Nvidia Jetson Product Catalog\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/nvidia-jetson-comparison-nano-tx2-nx-xavier-nx-agx-orin\/\"\u003eNvidia Jetson Comparison\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/NVIDIA-Jetson-Devices-and-carrier-boards-comparision.pdf\"\u003eNvidia Jetson Product Comparison\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2023\/07\/Seeed_NVIDIA_Jetson_Success_Cases_and_Examples.pdf\"\u003eSeeed Nvidia Jetson Success Cases\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-Jetson-one-pager.pdf\"\u003eSeeed Jetson One Pager\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/wiki.seeedstudio.com\/flash\/jetpack_to_selected_product\/\"\u003eFlash BSP for Jetson\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePart List\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eSeeed reComputer Mini J5012\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eJetson AGX Orin 64GB Module\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eGMSL Extension Board (GMSL x8)\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e128GB NVME SSD\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eXT30 to DC Power Cable\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eUSB Type-C to Type-A Cable\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eGH-1.25 4-pin 100mm JST Cable\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ex3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eGH-1.25 6-pin 100mm JST Cable\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ex3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eUser Manual\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":53120891814205,"sku":"SBC1173","price":702349.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/0-100020407-recomputer-mini-j5011-with-gmsl-64g_1.jpg?v=1789979374"},{"product_id":"recomputer-rugged-j4012-nvidia-jetson-orin-nx-edge-ai-computer","title":"reComputer Rugged J4012 - Ruggedized IP66 Edge AI Computer with NVIDIA Jetson Orin 16GB","description":"\u003ch1 style=\"text-align: center;\"\u003ereComputer Rugged J4012 NVIDIA Jetson Orin NX 16GB Edge AI Computer\u003c\/h1\u003e\n\u003cp style=\"text-align: center;\"\u003ereComputer Rugged J4012 is a ruggedized edge box powered by NVIDIA® Jetson Orin™ NX 16GB. It is equipped with M12 and sealed connectors, providing IOs such as USB, Ethernet (including PSE), CAN, RS-232\/422\/485 and DI\/DO. It has M.2 Key B slot for 5G modules, making it ideal to be used in ruggedized applications, such as AMR, robotics, agriculture, industrial and maritime applications. It can be directly used in 48V systems and has interfaces for most common sensors.\u003c\/p\u003e\n\u003cp\u003e   \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eKey Features\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"image\" src=\"https:\/\/www.seeedstudio.com\/media\/catalog\/product\/1\/0\/100046979-content_img_1.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eRuggedized Hardware Design\u003c\/strong\u003e: Ruggedized edge AI computer with IP66 rating that can be deployed in harsh environment\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eLockable and Waterproof connectors\u003c\/strong\u003e: M12 for all interfaces (Ethernet (PSE), DI, DO, RS‑232\/422\/485, and CAN), plus lockable\/waterproof USB connectors.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eApplication and Benefit\u003c\/strong\u003e: Ideal for rapid development of autonomous vehicles in harsh environments(AGV, AMR,trucks), accelerating time-to-market with ready-to-use interfaces and optimized AI frameworks.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eReady to Use\u003c\/strong\u003e: Pre-installed with JetPack 5.1.3 and equipped with WiFi6 module.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eWide Operating Range\u003c\/strong\u003e: Operates reliably across a temperature range of -20°C to 60°C at 25W mode\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eSpecification\u003c\/h2\u003e\n\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center;\"\u003e\u003cstrong\u003eModule Specifications\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eProduct Name\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003ereComputer Rugged J4012\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eModule\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e NVIDIA Jetson Orin™ NX 16GB \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eAI Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eOrin NX 16GB – 100 TOPS \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eGPU Max Frequency\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e918 MHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e8-core NVIDIA Arm® Cortex A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eCPU Max Frequency\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e2.0 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eDL Accelerator\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e2 x NVDLA v2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eDL Max Frequency\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1.23 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eVision Accelerator\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1 x PVA v2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e16GB 128-bit wide LPDDR5 DRAM 102.4GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003ePower\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e10W - 15W - 25W \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eVideo Encode\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1x 4K60 (H.265)\u003cbr\u003e3x 4K30 (H.265)\u003cbr\u003e6x 1080p60 (H.265)\u003cbr\u003e12x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eVideo Decode\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1x 8K30 (H.265)\u003cbr\u003e2x 4K60 (H.265)\u003cbr\u003e4x 4K30 (H.265)\u003cbr\u003e9x 1080p60 (H.265)\u003cbr\u003e18x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eMechanical\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e69.6mm x 45mm\u003cbr\u003e260-pin SO-DIMM connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eBox Specifications\u003c\/h2\u003e\n\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center;\"\u003e1x M.2 KEY M PCIe (128G SSD included)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"4\" style=\"text-align: center;\"\u003e\u003cstrong\u003eNetworking\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eM.2 KEY E\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1x M.2 Key E for WiFi\/Bluetooth module (Module Included)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eM.2 KEY B\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1x M.2 Key B for 5G module\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eSIM\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1x Nano-SIM slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eEthernet\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e5x RJ-45 Gigabit Ethernet (4x PSE, all M12)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"9\" style=\"text-align: center;\"\u003e\u003cstrong\u003eI\/O\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eUSB\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4x USB 3.0 Type-A (5Gbps)\u003cbr\u003e1x USB 3.0 Type-C (Recovery)\u003cbr\u003e1x USB 2.0 Type-C (Debug)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eCAN\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e2x CAN (M12)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eDisplay\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1x HDMI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eDI\/DO\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e2x DI, 2x DO (M12)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eSerial\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1x RS-232\/422\/485 (M12)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eRTC\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1x RTC 2-pin\u003cbr\u003e1x RTC Socket (CR1220 Battery Included)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eLED\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e2x LED (PWR, SSD)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eButton\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1x Recovery\u003cbr\u003e1x RESET\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eAntenna Hole\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4x Antenna Hole\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003ePower\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center;\"\u003e19-48V M12 A-code connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eJetpack Version\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center;\"\u003eJetpack 5.1.3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"3\" style=\"text-align: center;\"\u003e\u003cstrong\u003eMechanical\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eDimensions (W x D x H)\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e210mm*190mm*95mm\u003cbr\u003e(Bottom Panel is 250mm * 210mm)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eWeight\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e3.5kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eInstallation\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eDesk, Wall-mounting\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eOperating Temperature\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center;\"\u003e-20℃~60℃ (25W Mode)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eWarranty\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center;\"\u003e2 Years\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eCertification\u003cbr\u003e(Pending)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center;\"\u003eRoHS, CE, FCC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eHardware Overview\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/rugged-401-annotation.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"image\" src=\"https:\/\/www.seeedstudio.com\/media\/catalog\/product\/1\/0\/100046979-hardware_img_2.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eApplications\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eOutdoor video analytics\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"image\" src=\"https:\/\/www.seeedstudio.com\/media\/catalog\/product\/1\/0\/100046979-application_img_1.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eFor outdoor video analytics and monitoring, equipment must operate reliably outdoors despite constant exposure to UV radiation, moisture, temperature fluctuations, and mechanical vibration. With its IP66-rating enclosure, reComputer Rugged can be used in outdoor environments for such purposes. Paired with computing power of NVIDIA Jetson Orin modules, reComputer Rugged J40 is a powerful edge AI gateway for remote monitoring stations.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eAutonomous Logistics\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"image\" src=\"https:\/\/www.seeedstudio.com\/media\/catalog\/product\/1\/0\/100046979-application_img_2.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eOutdoor AMRs are increasingly deployed in urban and facility management environments to perform autonomous security patrols and last-mile delivery services. These multi-purpose robots are designed to navigate seamlessly through both indoor and outdoor environments. Therefore they need reComputer Rugged with NVIDIA® Jetson Orin™ as brain of AI-powered navigation systems that combine LiDAR, ultrasonic sensors, cameras, and GPS to map complex environments and avoid pedestrians, vehicles, and obstacles in real-time.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDocuments\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer_rugged_J401_datasheet.pdf\"\u003eUser Manual \u0026amp; Datasheet\u003c\/a\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer%20Rugged%20J401%20Carrier%20Board%20V1.1_SCH.pdf\"\u003eCarrier Board Schematic\u003c\/a\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer%20Rugged%20J401%20PSE%20Board%20V1.1_SCH.pdf\"\u003ePSE Board Schematic\u003c\/a\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer_Rugged_asm.stp\"\u003e3D File\u003c\/a\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-NVIDIA_Jetson_Catalog_V1.4.pdf\"\u003eSeeed NVIDIA Jetson Product Catalog\u003c\/a\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/nvidia-jetson-comparison-nano-tx2-nx-xavier-nx-agx-orin\/\"\u003eNvidia Jetson Comparison\u003c\/a\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2023\/07\/Seeed_NVIDIA_Jetson_Success_Cases_and_Examples.pdf\"\u003eSeeed Nvidia Jetson Success Cases\u003c\/a\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-Jetson-one-pager.pdf\"\u003eSeeed Jetson One Pager\u003cbr\u003e\u003c\/a\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePart List\u003c\/h2\u003e\n\u003ctable style=\"width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8616%;\"\u003eJetson Orin™ NX 16GB module\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.7217%;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8616%;\"\u003eSeeed Carrier Board (reComputer Rugged J401)\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.7217%;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8616%;\"\u003e128GB NVMe SSD\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.7217%;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8616%;\"\u003eAluminum Case and Heatsink\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.7217%;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8616%;\"\u003eWaterproof USB Cable; Type A to Type A\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.7217%;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8616%;\"\u003eM12 A-code Power Cable\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.7217%;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8616%;\"\u003eM12 A-code 8-pin Cable\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.7217%;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8616%;\"\u003eM12 X-code to RJ45 Cable\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.7217%;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8616%;\"\u003eTerminal Block female\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.7217%;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8616%;\"\u003eTerminal Block male\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.7217%;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8616%;\"\u003eDC Power cable\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.7217%;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8616%;\"\u003eUSB Type-C to Type-A Cable\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.7217%;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8616%;\"\u003eUser Manual\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.7217%;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":53120902365501,"sku":"SBC1170","price":342299.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/0-recomputer-rugged-adapted_2.jpg?v=1789979944"}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/collections\/NVIDIA_Jetson_Banner_v2_2x_b1cc213c-879e-495e-b2fd-7daf6077a7a0.jpg?v=1746871105","url":"https:\/\/thinkrobotics.com\/ar\/collections\/nvidia-jetson.oembed?page=2","provider":"Atlantis Robotics","version":"1.0","type":"link"}