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reComputer J3011-Edge AI Device with NVIDIA Jetson Orin™ Nano 8GB module, 4xUSB 3.2, WiFi/BT, M.2 Key E & Key M Slot, Aluminum case, Pre-installed Jetpack System with NVIDIA JetPack™ on 128GB NVMe SSD (Without Adapter)
The reComputer J3011-Edge AI Device with NVIDIA Jetson Orin™ Nano 8GB module, 4xUSB 3.2, WiFi/BT, M.2 Key E & Key M Slot, Aluminum case, Pre-installed Jetpack System with NVIDIA JetPack™ on 128GB NVMe SSD (Without Adapter) by Seeed Studio is a premium seeed studio sbc designed for premium buyers. It features RAM: 8GB and Module: Jetson Orin Nano 8GB.
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The reComputer J3011-Edge AI Device with NVIDIA Jetson Orin™ Nano 8GB module, 4xUSB 3.2, WiFi/BT, M.2 Key E & Key M Slot, Aluminum case, Pre-installed Jetpack System with NVIDIA JetPack™ on 128GB NVMe SSD (Without Adapter) by Seeed Studio is a premium seeed studio sbc designed for premium buyers. It delivers reliable performance at an accessible price.
Key Specifications
- RAM: 8GB — effortless multitasking
- Module: Jetson Orin Nano 8GB
- AI Performance: 40 TOPS
- GPU: 1,024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores
- Max GPU Frequency(MHz): 625 MHz — smooth, flicker-free operation
- CPU: 6-core Arm® Cortex®-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3 — smooth, lag-free performance
- Max CPU Frequency(MHz): 1.5 GHz — smooth, lag-free performance
- Storage Capacity: (Supports external NVMe) — plenty of room for files, apps, and media
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reComputer J3011-Edge AI Device with NVIDIA Jetson Orin™ Nano 8GB module is a powerful and compact intelligent edge box to bring up to 40TOPS modern AI performance to the edge, which offers around 2X the performance of Jetson Xavier NX. While combining the NVIDIA Ampere™ GPU architecture with 64-bit operating capability. The full system includes one NVIDIA Jetson Orin Nano 8GB production module, and a heatsink. reComputer J3011 is preinstalled with Jetpack 5.1, 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 carrier board for reComputer J3011 is a high-performance, interface-rich board, providing HDMI 2.1, Gigabit Ethernet, USB 3.2, M.2 key E, M.2 key M, CSI camera, CAN, GPIO, I2C, I2S, fan, and other rich peripheral interfaces. Take advantage of the small form factor, sensor-rich interfaces, and big performance to bring new capabilities to all your embedded AI and edge systems. [caption id="attachment_1543098" align="aligncenter" width="956"]
Applications:[/caption]
reComputer J30 series, powered by Orin Nano, is ideal for building autonomous applications and complex AI tasks of image recognition, object detection, pose estimation, semantic segmentation, video processing, and many more. The following are a few of the applications that have been tested with Xavier NX and you can take them for reference in order to build applications using Jetson Orin NX/Orin Nano as well.
Note: Power cable is not included. For more technical details go through Datasheet in the attachment section.
Features:
- Brilliant AI Performance for production: on-device processing with up to 40 TOPS AI performance with low power and low latency
- Hand-size edge AI device: compact size at 130mm x120mm x 58.5mm, includes NVIDIA Jetson Orin Nano 8GB production module, a heatsink, enclosure, and a heat sink. Support desktop, wall mount, fit in anywhere
- Expandable with rich I/Os: 4x USB3.2, HDMI 2.1, 2xCSI, 1xRJ45 for GbE, M.2 Key E, M.2 Key M, CAN and GPIO
- Accelerate solution to market: pre-installed Jetpack with NVIDIA JetPack™ on the included 128GB NVMe SSD, Linux OS BSP, 128GB SSD, WiFi BT combo module, Antennas x2, support Jetson software and leading AI frameworks and software platforms
- Comprehensive certificates: FCC, CE, RoHS, UKCA
Package Includes:
1 x Jetson Orin™ Nano 8GB
1 x Seeed carrier board(reComputer J401)
1 x 128GB NVMe SSD
2 x Wi-Fi/Bluetooth combo modulex1,Antennas
1 x Fan with aluminum heatsink
1 x Aluminum case(black)
