Opis 110061362 J1010 is a hand-size edge AI box built with Jetson Nano production module, rich set of IOs, aluminum case, passive heatsink, pre-installed JetPack System, ready for your next AI application development and deployment. PRODUCT DETAILS Description reComputer J1010 is a compact edge computer built with NVIDIA Jetson Nano 4GB production module, comes with 128 NVIDIA CUDA® cores deliver 0.5 TFLOPs (FP16) to run AI frameworks and applications like image classification, object detection, and speech processing. The production modules offers 16GB eMMC, a longer warranty, and 5-10 year operating life in a production environment(Jetson FAQ). We also have reComputer J20 series built with a Jetson Xavier NX module, delivering 21 TOPS AI performance for more complex AI workloads. Besides the Jetson module, reComputer J1010 also includes J101 carrier board with onboard microSD card slot, 1*USB 3.0, 2*USB2.0, HDMI, M.2 Key E for WiFI, LTE and Bluetooth, RTC, Raspberry Pi GPIO 40-pin, and so on, as well as a heatsink, and aluminum case. The device has been pre-installed Jetpack 4.6.1, just plug in a USB C 5V/3A power supply, keyboard, mouse, and ethernet cable, you are ready to start your embedded AI journey! If you need more USB 3.0 and onboard M.2 key M for attaching SSD, you can choose reComputer J1020. Features Hand-size edge AI full system delivering modern AI power of 0.5 TFLOPs (FP16) and rich interfaces for embedded development. Ready for development and deployment: pre-installed NVIDIA JetPack supports the entire Jetson software stack and industry-leading AI developer tools for building robust AI applications such as logistics, retail, service, agriculture, smart city, healthcare, and life sciences, etc Power efficient: powered by Type C 5V/3A, consuming as little as 5 watts. Expandable with the onboard interfaces and reComputer case, able to mount on the wall with mounting holes on the back. If you are a beginner in Deep Learning, NVIDIA prepared this deep learning tutorial of Hello AI World and Two Days to a Demo. You can even earn certificates to demonstrate your understanding of Jetson and AI when you complete free, open-source courses. For most applications, you also need to connect with cameras, and you might need plug-and-play Grove sensors to use with Raspberry Pi HAT to extend more ideas. Please also check out Seeed wiki guide including getting started guide also different projects such as use helmet detection and deploy a custom YOLOv5 model at Jetson Nano(fewer datasets, faster inference at 27FPS on reComputer J10 and 60FPS on J2021 of Jetson Xavier NX). Application Object detection use YOLOv5 and roboflow such as roadsign detection, wild fire smoke detection. You can also follow this guide to train and deploy a custom model! Hard hat detection uses Edge Impulse for workplace safety Pedestrian detection by Edge Impulse nanosaur: the smallest Jetson Nano dinosaur robot, open-source, fully 3D printable, based on ROS2 & Isaac ROS. DeepCamera NVR (network video recorder) Pose estimation uses alwaysAI Retail store items detection Wildfire detection Animal detection Visual anomaly detection using NVIDIA Deepstream IoT Find in the Jetson Community to inspire your next project! If you work for an AI enterprise of ISV or system integrator, welcome to check out our free Edge AI partner program. We are looking forward to leveraging local and global resources to accelerate next-gen AI products together with you. Compare NVIDIA Jetson Nano Dev Kit B01 with reComputer J10 series Product reComputer J1010 reComputer J1020 NVIDIA Jetson Nano Developer Kit-B01 Module Jetson Nano 4GB (production version) Nano (not production version) Storage 16 GB eMMC MicroSD (Card not included) SD Card Slot Included (On the carrier board) – Included (On the module) Video Encoder 4K30 | 2x1080p60 | 4x1080p30 | 4x720p60 | 9x720p30 (H.265 & H.264) 4Kp30 | 4x 1080p30 | 9x 720p30 (H.264/H.265) Video Decoder 4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60 (H.265 & H.264) 4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 (H.264/H.265) Gigabit Ethernet 1*RJ45 Gigabit Ethernet Connector (10/100/1000) USB 1 * USB 3.0 Type A; 2 * USB 2.0 Type A; 1 * USB Type C for device mode; 1 * USB Type C for 5V power input 4 * USB 3.0 Type-A ； 1 * Micro-USB port for device mode; 4 * USB 3.0 Type-A; 1 * Micro-USB port for 5V power input or for device mode CSI Camera Connect 2*CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 ) Display 1*HDMI Type A 1*HDMI Type A; 1*DP 1*HDMI Type A; 1*DP FAN 1* FAN Connector (5V PWM) 1* FAN (5V PWM) M.2 KEY E 1*M.2 Key E 1*M.2 Key E (Disabled) 1*M.2 Key E M.2 KEY M – 1*M.2 Key M – RTC RTC socket(reserved) – Multifunctional port 1* 40-Pin header Power Supply USB-Type C 5V⎓3A DC Jack 12V/2A DC Jack 5V⎓4A； Micro-USB 5V⎓2A Mechanical 130 mm x 120 mm x 50 mm (with case) 130mm x120mm x 50mm (with case) 100 mm x 80 mm x 29 mm Note If use some GPIO libraries that causes floating voltage 1.2V~2V , GPIO issues on the carrier board could happen as the normal voltage should be 3V. This is a common situation on the carrier boards, for both the reComputer series and official Nvidia Jetson developer kit. Thus, aftersales / warrenty does not come into effect regarding this isssue. For further information, refer to NVIDIA official document. Compare NVIDIA Jetson Nano and Jetson Xavier NX With Jetson Nano, developers can use highly accurate pre-trained models from TAO Toolkit and deploy with DeepStream. Jetson Nano can achieve 11 FPS for PeopleNet- ResNet34 of People Detection, 19 FPS for DashCamNet-ResNet18 of Vehicle Detection, and 101 FPS for FaceDetect-IR-ResNet18 of Face Detection. Jetson Xavier NX can achieve 172 FPS for PeopleNet- ResNet34 of People Detection, 274 FPS for DashCamNet-ResNet18 of Vehicle Detection, and 1126 FPS for FaceDetect-IR-ResNet18 of Face Detection. Benchmark details can be found on NVIDIA®’s DeepStream SDK website. Hardware overview Reference carrier board Nearly the same functional design as Jetson Nano Developer Kit. We have upgraded the carrier board with micro SD card slot. The old version The latest version Desktop, Wall Mount, Expandable or fit in anywhere The back screw holes allow you to hang the product as you need. We also provide other editions case like blue, silver, and silver metal, whose stackable structure allows you to stack more middle layers to create rooms very easily. Note If you want to use SSDs with reComputer Jetson, we only recommend you choose 128GB, 256GB, and 512GB versions from Seeed, because some of the SSDs in the market will not work with this product. Part List Acrylic Cover x1 Aluminum Frame x1 Jetson Nano module x1 Heatsink x1 J101 Carrier board x1

Opis 114992152 The re_computer case is specially designed for the re_computer system, compatible with all popular SBCs, with a removable acrylic cover on the top, and with a stackable structure to extend endless possibilities. We have designed and left screw holes for the installation of the most popular SBCs including our new released ODYSSEY – X86J4105, Raspberry Pi, BeagleBone, and Jetson Nano. PRODUCT DETAILS Note The new batch of re_computer case contains compatible side panels for Jetson Nano, Raspberry Pi 3 & 4, BeagleBone® Black & Green and Odyssey-X86J4105. Also includes all the standoffs and screws for installations so no need to purchase again. re_computer case using guide Key Feature It is compatible with all popular SBCs. The re_computer case can not only install the ODYSSEY – X86 board, we have designed and left screw holes for the installation of the most popular SBCs including Raspberry Pi, BeagleBone and Jetson Nano. Removable top layer Acrylic Stackable case structure for expansions Description The re_computer case is specially designed for the re_computer system. It is more than just aesthetic, there are also great features: It is compatible with all popular SBCs. The re_computer case can not only install the ODYSSEY – X86 board, we have designed and left screw holes for the installation of the most popular SBCs including Raspberry Pi, BeagleBone and Jetson Nano. When installing these SBCs, please follow the instruction below and use the required screws and standoffs. The top acrylic cover is removable. If you want to add a HAT or Cape on your SBC inside the case, there is no need to re-screw the whole case because the top acrylic layer is designed to be removed easily. Stackable structure to extend endless possibilities for building different applications such as NAS. If your application requires more space, for example, adding more hard disks to make a NAS, the stackable structure allows you to stack more middle layers to create rooms very easily. At Seeed, you can also design your solution all in one page where you choose the desired SBC, any compatible mission board (HATs, expansions) that you want, I/O modules, and nicely place them in the suitable enclosures/cases such as re_computer case. Rest assured, as we have tested full compatibility for all of the products listed on the page. Try it now here and save you time to find hardware compatibility! Part List Acrylic Cover x 1 Aluminium Frame x 1 Heat Dissipation Base x 1 Side Panel x 8 Standoff x 8 Screw x 12 Screwdriver x 1 Button x 1 Assembly Manual x 1

Klasa procesora Intel Core i3 Model 1115G4 Broj jezgara procesora 2 (4 niti) Radni takt procesora 2.1 GHz (4.1 GHz) Tip memorije DDR4, maksimalno podržano 16GB Grafika Intel® UHD Graphics for 10th Gen Intel® Processors Tip skladištenja m.2 NVMe + SSD/HDD 2.5″ Žična mreža (LAN) 10/100/1.000Mbps (Gigabit ethernet) Wi-Fi Da Bežični mrežni standardi 1x M.2 NGFF 2230 Slot for wifi (2.4GB/5.0GB) module Bluetooth Da Bluetooth verzija 4.2. HDMI priključci 1 DisplayPort priključci 1 Ukupno USB priključaka 4 USB 3.0 priključci 2 USB 2.0 priključci 2 RJ-45 (LAN) 1 Audio 1 x 3.5mm Audio Jack (MIC in / Line out Combo) USB-C 3.1 1 Model kućišta MPI10 Snaga 40 W Dimenzije 12.6 x 13 x 4.5cm

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Platforma: Intel Tip procesora: Intel Core i3 Processor Opis procesora: Intel Core i3-1315U Hexa Core Processor Opis: 6 jezgara, 8 niti Brzina: 3.30 GHz (Turbo do 4.50 GHz) Keš memorija: 10MB Litografija: Intel 7 Model procesora: Intel Core i3-1315U 3.30 GHz (do 4.5 GHz) Tip grafičke kartice: Intel UHD Graphics Grafička kartica (opis): Integrisana Intel UHD Graphics sa deljenom sistemskom memorijom Opis memorije: 8 GB (1 x 8 GB) DDR4-3200 MHz RAM Skladištenje podataka: 256 GB PCIe NVMe SSD Mrežni interfejs: WLAN Audio: Realtek ALC3205 codec Slotovi za proširenje: 1 x M.2 2230 (1 x M.2 slot za WLAN i 1 x M.2 2280 slot za SSD) 1 x M.2 2280 1 x SATA storage connector Priključci na zadnjem panelu: 1 x RJ-45 1 x serial port 2 x USB-A 3.2 Gen 1 1 x HDMI 1.4b 2 x USB-A 2.0 1 x DisplayPort Priključci na prednjem panelu: 1 x Kombo port za mikrofon/slušalice (3.5 mm) 1 x USB-C 3.2 Gen 2 1 x USB-A 3.2 Gen 1 1 x USB-A 2.0 Napajanje: 65W Napajanje (opis): 65 W eksterni AC adapter Operativni sistem: FreeDOS Periferni uređaji: HP 125 žičana tastatura HP 125 žičani miš Dimenzije: 17.7 x 17.5 x 3.4 cm Masa: 1.42 kg Prava potrošača: Zakonska saobraznost 2 godine EAN: 197498776118

Procesor Intel® Core™ i5 i5-10210U 1,6 GHz 4 jezgra RAM DDR4-SDRAM 16GB 2666 MHz Kapacitet SSD 512GB Kompatibilne memorijske kartice SD, SDHC, SDXC Grafička kartica Intel® UHD Graphics LAN Da Bluetooth 5.2 Da Wifi Da HDMI 2 USB-C 1 Broj Ethernet LAN (RJ-45) portova 1 Broj portova USB 3.2 Gen 2 (3.1 Gen 2) tip A 3 Broj portova USB 3.2 Gen 2 (3.1 Gen 2) tip C 2 Broj internih USB 2.0 portova 2 Broj Thunderbolt 3 portova 1 Dimenzije 117 x 112 x 51 mm Boja proizvoda Crna

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System Processor CPU Intel Core i3 Mobile Processor 1220P CPU Core Quantity 10 Threads Quantity 12 CPU Socket Standard Socket 1744 CPU Installed Quantity 1 CPU Maximum Quantity Supports 1 CPU Cache Size 12 MB Quantity of Mainboards Supported 1 Memory Memory Type DDR4 SDRAM Memory Form Factor SODIMM 260-pin Memory Speed 3200MHz(PC4-25600) Provides Error Checking Method Non-ECC Maximum Installable System Memory Storage Capacity 64 GB Memory Slot Total Quantity 2 Memory Features Two DDR Channels XMP Controller Integrated Storage Controller: PCI Express 4.0 x4 (M.2 (Key M)) Storage Controller: PCI-Express 3.0 x1 (M.2 (Key B)) Storage Controller: SATA III-600 (1) Plug-in-card Wi-Fi Controller: Intel Wi-Fi 6E AX211 M.2 (Key E) Video Output Video Controller Form Factor Integrated Video Chipset Intel Iris Xe Graphics Video Memory Type Shared Video Memory Audio Output Audio Controller Form Factor integrated Audio Output Mode 7.1 Channel Surround Compliant Audio Standards High Definition Audio Networking Specifications Networking Form Factor Integrated LAN Chipset Intel i225-V LAN Gigabit Ethernet Wi-Fi IEEE 802.11ax Wi-Fi 6 Bluetooth Bluetooth 5.2 Data Link Protocol Supports Gigabit Ethernet/Fast Ethernet/Ethernet Bay Provided M.2 Slot Quantity 3 Interface Provided Thunderbolt 4 2 (USB Type-C) HDMI 2 (HDMI (Type A)) LAN 1 (RJ-45) USB 3.2 3 (USB 3.2 (type A)) USB 2.0 1 (USB 2.0 (type A)) Headset Port 1 (3.5-mm minijack) Power Power Device Type Power Supply Power Device Location Internal Miscellaneous External Color Black Mounting Capability Desktop Cable Included Power Cable (EU Plug) Dimensions & Weight Device Height (mm) 112 mm Depth (mm) 117 mm Width (mm) 54 mm Logistic Pack Weight Brutto (kg) 1.42 kg Pack Weight Netto (kg) 1.2 kg Pieces in pack 1 Box Weight Brutto (kg) 1.42 kg Packs in Box 1 Package Type Retail

DAHUA DAHUA Mini PC SP-PI5B82IS Intel i5-11320H Quad Core 3.2GHz 8GB 256GB Cena: 238.559,00 RSD BEZ KAMATE na 12 rata: 19.879,92 RSD BEZ KAMATE na 24 rate: 10.436,96 RSD Cena za gotovinu: 197.848,00 RSD Dodaj u korpu! Završi kupovinu Opis proizvoda Procesor / Čipset Klasa procesora: Intel Core i5, Model: i5-11320H, Broj jezgara procesora: 4, Broj logičkih jezgara (niti): 8, Radni takt procesora: 2.5 GHz (4.5 GHz), Keš memorija procesora: 8MB Intel Smart cache, Memorija (RAM) Memorija (RAM): 8GB, Tip memorije: SO-DIMM, Radni takt memorije: 2.400MHz, Skladištenje podataka SSD: 256GB, Mreža Žična mreža (LAN): 10/100/1.000Mbps (Gigabit ethernet), Wi-Fi: Da, Bluetooth verzija: 5.1, Priključci HDMI: 1, Ukupno USB priključaka: 4, USB 3.1 priključci: 2 (Tip A), 1 (Tip C), USB 2.0 priključci: 1, Audio: 1x 3.5mm (Combo Audio Jack), RJ-45 (LAN): 1, Napomena: 1x 80 JAC, Kućište / Napajanje Format kućišta: Mini PC, Dimenzije kućišta: 180mm x 119mm x 30mm, Ostalo Napomena: Sadržaj kućišta na slikama je ilustrativnog karaktera, Reklamacioni period Reklamacioni period: 36 meseci,

Klasa procesora Intel Core i3 Model 1115G4 Broj jezgara procesora 2 (4 niti) Radni takt procesora 2.1 GHz (4.1 GHz) Tip memorije SODIMM Memorija DDR4 8GB 3200MHz Kingston KVR32S22S8/8 Grafika Intel® UHD Graphics for 10th Gen Intel® Processors Tip skladištenja SSD M.2 NVMe 256GB Patriot P300 1700MBs/1100MBs P300P256GM28 Žična mreža (LAN) 10/100/1.000Mbps (Gigabit ethernet) Wi-Fi Da Bežični mrežni standardi 1x M.2 NGFF 2230 Slot for wifi (2.4GB/5.0GB) module Bluetooth Da Bluetooth verzija 4.2. HDMI priključci 1 DisplayPort priključci 1 Ukupno USB priključaka 4 USB 3.0 priključci 2 USB 2.0 priključci 2 RJ-45 (LAN) 1 Audio 1 x 3.5mm Audio Jack (MIC in / Line out Combo) USB-C 3.1 1 Model kućišta MPI10 Snaga 40 W Dimenzije 12.6 x 13 x 4.5cm

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ASUS ASUS Mini PC PN51-BB353MDS1 (Ryzen™ 3 5300U, Barebone) Cena: 43.024,00 RSD BEZ KAMATE na 12 rata: 3.585,33 RSD BEZ KAMATE na 24 rate: 1.882,30 RSD Cena za gotovinu: 37.919,00 RSD Dodaj u korpu! Završi kupovinu Opis proizvoda Procesor / Čipset Klasa procesora: AMD Ryzen 3, Model: 5300U, Broj jezgara procesora: 4, Broj logičkih jezgara (niti): 8, Keš memorija procesora: 4MB, Memorija (RAM) Memorija (RAM): Bez RAM memorije, Tip memorije: SO-DIMM DDR4, Grafika Grafika: AMD Radeon, Model grafičke karte: RX Vega 6, Tip memorije: Deljena, Mreža Žična mreža (LAN): 10/100/1000/2500 Mbps (2.5GbE), Wi-Fi: Da, Bluetooth verzija: 5.0, Ostale osobine: Wi-Fi 6, Priključci DisplayPort priključci: Preko USB-C, 1x DisplayPort 1.4, HDMI: 1, Ukupno USB priključaka: 5, USB 3.2 priključci: 3 (Tip A) Gen 1, 2 (Tip C) Gen 1, Audio: 1x 3.5mm (Combo Audio Jack), RJ-45 (LAN): 1, Kućište / Napajanje Format kućišta: Mini PC, Dimenzije kućišta: 115mm x 115mm x 49mm, AC Adapter: 65W, Reklamacioni period Reklamacioni period: 36 meseci, Softver Operativni sistem: Bez operativnog sistema,

Opis PRODUCT DETAILS reComputer J1020 v2 is a hand-size edge AI box built with Jetson Nano module, rich set of IOs, aluminum case, passive heatsink, and pre-installed JetPack System, ready for your next AI application development and deployment. If you are looking for the version without power adapter, please check out reComputer J1020v2(w/o power adapter). Features NVIDIA Jetson Nano Dev Kit alternative: hand-size Edge AI device built with Jetson Nano 4GB Production Module, the carrier board brings extensive I/Os: GPIO, CSI, Gigabit Ethernet, 4 x USB 3.0 Type A, onboard 16 GB eMMC, Please check here for SSD storage expansion. 128 NVIDIA CUDA® cores deliver 0.5 TFLOPs (FP16) to run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing. Pre-installed NVIDIA Jetpack, JetPack SDK includes a board support package (BSP), Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, etc. Support the entire Jetson software stack and various developer tools for building fast and robust AI applications provided by Seeed Edge AI partners. Description reComputer series for Jetson are compact edge computers built with NVIDIA advanced AI embedded systems: J10 (Jetson Nano 4GB) and J20 (Jetson Xavier NX 8GB and Jetson Xavier 16GB). With rich extension modules, industrial peripherals, and thermal management, reComputer 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. reComputer J1020 v2 is a powerful and compact intelligent edge box built with Jetson Nano production module, bringing modern AI performance to the edge. The built-in J202 carrier board is the same dimension as the Jetson Nano Developer Kit, including 4xUSB 3, M.2 Key M, HDMI, and DP. The full system also includes a fan and a power adapter. For AI beginners, if you would like to get critical AI skills and dive into deep learning. NVIDIA’s Deep Learning Institute (DLI) delivers practical, hands-on training and certification. Please also check out Seeed wiki guide including getting started with Jetson Nano and also building different projects. For solution providers, reComputer J1020 v2 is preinstalled with Jetpack 4.6.1, with a rich set of I/Os, this AI box 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. Seeed Jetson Ecosystem Seeed is a reseller of NVIDIA embedded systems and a preferred partner of the NVIDIA Jetson ecosystem for edge AI. Explore more carrier boards, full system devices, customization services, use cases, and developer tools at Seeed Jetson Ecosystem! Welcome to check out our free Edge AI partner program. We are looking forward to leveraging local and global resources to accelerate next-gen AI products together with you. Compare NVIDIA Jetson Nano Dev Kit B01 with reComputer J10 series Application For both beginners and experts, it is designed to help you to build your next-gen autonomous machine at the edge. Edge AI Applications reComputer J1010 and J1020 v2, powered by Jetson Nano, are ideal for learning AI and building AI applications for image recognition, object detection, pose estimation, video processing, and many more. Check out the following application example with tutorials! Pedestrian detection by Edge Impulse Hard hat detection and build custom PPE detection Pose Estimation with alwaysAI Visual anomaly detection using NVIDIA Deepstream IoT Retail store items detection Wildfire detection Animal detection Find in the Jetson Community Resources page tools and tutorials the community has created to power your development experience, and check out the Community Projects page to inspire your next project! Developers Tools Pre-installed Jetpack for fast development and edge AI integration Jetson software stack 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. Computer Vision and embedded machine learning Edge AI no code Vision tool, Seeed latest open-source project for deploying AI application within 3 nodes. NVIDIA DeepStream SDK delivers a complete streaming analytics toolkit for AI-based multi-sensor processing and video and image understanding on Jetson. NVIDIA TAO tool kit, built on TensorFlow and PyTorch, is a low-code version of the NVIDIA TAO framework that accelerates the model training alwaysAI: 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 wiki guide to get started with alwaysAI. Edge Impulse: the easiest embedded machine learning pipeline for deploying audio, classification, and object detection applications at the edge with zero dependencies on the cloud. Roboflow 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 full documentation for deploying to NVIDIA Jetson with Roboflow. YOLOv5 by Ultralytics: use transfer learning to realize few-shot object detection with YOLOv5 which needs only a very few training samples. See our step-by-step wiki tutorials Deci: optimize your models on NVIDIA Jetson Nano. Check the webinar at Deci of Automatically Benchmark and Optimize Runtime Performance on NVIDIA Jetson Nano and Xavier NX Devices Remote Fleet Management Enable secure OTA and remote device management with Allxon. Unlock 90 days free trial with code H4U-NMW-CPK. Robot and ROS Development NVIDIA 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 NVIDIA Developer Tools Cogniteam Nimbus 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 webinar on connecting your ROS Project to the Cloud with Nimbus. Hardware Overview The interface-rich reference carrier board Nearly the same functional design as Jetson Nano Developer Kit Seeed reference carrier board for J1020 v2 is a high-performance, interface-rich NVIDIA Jetson Nano compatible carrier board, providing HDMI 2.0, Gigabit Ethernet, USB 3.0, CSI camera, GPIO, I2C, I2S, fans, and other rich peripheral interfaces. Desktop, Wall Mount, Expandable or fit in anywhere The back screw holes allow you to hang the product as you need. We also provide other editions case like blue, silver and silver mental, whose stackable structure allows you to stack more middle layers to create rooms very easily. Note If you want to use SSDs with reComputer Jetson, we only recommend you choose 128GB, 256GB, and 512GB versions from Seeed, because some of the SSDs in the market will not work with this product. Part List Acrylic Cover x1 Aluminum Frame x1 Jetson Nano module x1 Heatsink x1 reComputer J202 carrier board x1 12V/2A Power adapter (with 5 interchangeable adapter plugs) x1 We will not include a 3V RTC battery. Note We have already installed JetPack 4.6 system in the reComputer and you can directly use it by powering it on. Please check our wiki for reflashing Jetpack and expanding storage. We’d like to hear from you, welcome to join our Discord channel to share your thoughts on Jetson edge AIWe have already installed JetPack 4.6 system in the reComputer and you can directly use it by powering it on. FAQ 1. What is the main difference between the J1020 and J1020 v2? The carrier board between them is mainly different, the new one will be using the J202 carrier board. And you can install either the Jetson Nano module or the Jetson Xavier module on the carrier board. The carrier board supports both. 2. What type of RTC is recommended for RTC socket? CR1220 and ML1220. The non-rechargeable design of the RTC circuit of the carrier board allows both rechargeable and non-rechargeable RTC batteries to be used. LEARN AND DOCUMENTS Documentations reComputer J1020 v2 datasheet.pdf reComputer J202 carrier board datasheet.pdf NVIDIA Jetson Devices and carrier boards comparision.pdf 3D File

LN Neo 50s SFF, Free DOS, Intel® Core™ i7-13700 3,30, Intel B660, 1x16Gb DDR4 3200, Integrisana Intel UHD 770, M.2 PCIe 512, DVD±RW ,1Gbit/s, Small Form Factor, 260 W, Miš Da, Tastatura Da, Zvučnici Ne LN Neo 50s SFF, Free DOS, Intel® Core™ i7-13700 3,30, Intel B660, 1x16Gb DDR4 3200, Integrisana Intel UHD 770, M.2 PCIe 512, DVD±RW ,1Gbit/s, Small Form Factor, 260 W, Miš Da, Tastatura Da, Zvučnici Ne

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