AI
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Edge AI Computer with NVIDIA® Jetson Xavier™ NX 8GB
Feature Note For optimal performance with reComputer, we recommend using 128GB / 256GB / 512GB / 1TB SSDs from Seeed. Since some SSDs on the market may only be compatible with specific JetPack versions which may cause the device to fail to function properly, and this issue is also present with official NVIDIA dev kits. If you are looking for the version without power adapter, please check out reComputer J2021 without power adapter. Specification Jetson Xavier NX System on Module AI Performance reComputer J2022, Xavier NX 16GB reComputer J2021, Xavier NX 8GB GPU 384-core NVIDIA Volta™ architecture GPU with 48 Tensor Cores CPU 6-core NVIDIA Carmel Arm®v8.2 64-bit CPU 6MB L2 + 4MB L3 Memory 16 GB 128-bit LPDDR4x 59.7GB/s 8GB 128-bit LPDDR4x 59.7GB/s Storage 16 GB eMMC 5.1 Video Encoder 2x 4K60 | 4x 4K30 | 10x 1080p60 | 22x 1080p30 (H.265) Video Decoder 2x 8K30 | 6x 4K60 | 12x 4K30 | 22x 1080p60 | 44x 1080p30 (H.265) Carrier Board Networking Ethernet 1x RJ45 Gigabit Ethernet Connector (10/100/1000) M.2 KEY E 1x M.2 Key E I/O USB 4x USB 3.1 Type A Connector； 1x USB Type-C (Device mode) CSI Camera 2x CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 ) Display 1x HDMI Type A; 1x DP Fan 1x FAN connector(5V PWM) CAN 1x CAN Multifunctional Port 1x 40-Pin Expansion header RTC RTC 2-pin RTC socket Power 9-19V DC Mechanical Dimensions (W x D x H) 130mm x 120mm x 58.5mm (with case) Installation Desk, wall-mounting Operating Temperature -10℃~60℃ Warranty 1 Year Hardware Overview reComputer J202 carrier board, included in the full system - reComputer J2021 Desktop, Wall Mount, Expandable, or Fit in Anywhere Application Autonomous Mobile Robot (AMR) AI Video Analytics Machine Vision Documents Datasheet Schematic 3D File Seeed Nvidia Jetson Product Catalog Nvidia Jetson Comparison Nvidia Jetson Product Comparison Seeed Nvidia Jetson Success Cases Seeed Jetson One Pager ECCN/HTS HSCODE 8471419000 USHSCODE 8543708800 UPC EUHSCODE 8471800000 COO CHINA Part List Acrylic Cover 1x Aluminium Frame 1x Jetson Xavier NX module 1x Aluminum heatsink with fan 1x Carrier board 1x 12V/5A(Barrel Jack 5.5/2.5mm) Power Adapter (Power cable not included) 1x
30,000.00 ฿
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Google Coral USB Accelerator
The Coral USB Accelerator adds a Coral Edge TPU to your Linux, Mac, or Windows computer so you can accelerate your machine learning models. This page is your guide to get started. All you need to do is download the Edge TPU runtime and PyCoral library. Then we'll show you how to run a TensorFlow Lite model on the Edge TPU. To learn more about the hardware, see the USB Accelerator datasheet. Requirements A computer with one of the following operating systems: Linux Debian 10, or a derivative thereof (such as Ubuntu 18.04), and a system architecture of either x86-64, Armv7 (32-bit), or Armv8 (64-bit) (includes support for Raspberry Pi 3 Model B+, Raspberry Pi 4, and Raspberry Pi Zero 2) macOS 10.15 (Catalina) or 11 (Big Sur), with either MacPorts or Homebrew installed Windows 10 One available USB port (for the best performance, use a USB 3.0 port) Python 3.6 - 3.9
3,350.00 ฿
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Raspberry Pi AI hat Kit
The Raspberry Pi AI HAT+ features a built-in neural network accelerator, turning your Raspberry Pi 5 into a high-performance, accessible, and power-efficient AI machine. Available with 13 or 26 TOPS performance, it’s suited to everything from entry-level applications to more complex neural processing, with the ability to process multiple concurrent models and AI tasks.
2,710.00 ฿ - 4,250.00 ฿
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NVIDIA® Jetson™ Orin™ Nano 8GB (Support Super Mode）
Feature Note The reComputer J3011 is equipped with the same NVIDIA Jetson Orin Nano 8GB production module. You can perform a self - upgrade to Jetpack 6.2. Once upgraded, you'll instantly experience a significant boost in computing power, with the performance leaping from 40 Tops to 67 Tops, offering capabilities comparable to those of the NVIDIA Jetson Orin Nano Super Developer Kit. For optimal performance with reComputer, we recommend using 128GB / 256GB / 512GB / 1TB SSDs from Seeed. Since some SSDs on the market may only be compatible with specific JetPack versions which may cause the device to fail to function properly, and this issue is also present with official NVIDIA dev kits. If you are looking for the version without power adapter, please check out reComputer J3011 without power adapter reComputer J3011 (original with JP5.1.3) reComputer J3011 (super with JP6.2) GPU NVIDIA Ampere architecture 1,024 CUDA Cores 32 Tensor Cores 635 MHz NVIDIA Ampere architecture 1,024 CUDA Cores 32 Tensor Cores 1,020MHz AI PERF 40 INT8 TOPS (Sparse) 20 INT8 TOPS (Dense) 67 TOPS (Sparse) 33 TOPS (Dense) CPU 6-core Arm Cortex- A78AE v8.264-bit CPU 1.5 GHz 6-core Arm Cortex- A78AE v8.264-bit CPU 1.7 GHz Memory 8GB 128-bit LPDDR5 68GB/s 8GB 128-bit LPDDR5 102GB/s MODULE POWER 7W|15W 10W|15W|25W Specification Jetson Orin Nano System on Module AI Performance reComputer J3011 - Orin Nano 8GB, up to 67 TOPS reComputer J3010- Orin Nano 4GB – up to 34 TOPS GPU 1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores (Orin Nano 8GB) 512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores (Orin Nano 4GB) CPU 6-core Arm® Cortex®-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3 Memory 8GB 128-bit LPDDR5 68 GB/s (Orin Nano 8GB) 4GB 64-bit LPDDR5 34 GB/s (Orin Nano 4GB) Video Encoder 1080p30 supported by 1-2 CPU cores Video Decoder 1x 4K60 (H.265) | 2x 4K30 (H.265) | 5x 1080p60 (H.265) | 11x 1080p30 (H.265) Carrier Board Storage 1x M.2 Key M PCIe (M.2 NVMe 2280 SSD 128G included) Networking Ethernet 1x RJ-45 Gigabit Ethernet (10/100/1000M) M.2 KEY E 1x M.2 Key E(pre-installed 1x Wi-Fi/Bluetooth combo module) I/O USB 4x USB 3.2 Type-A (10Gbps), 1x USB2.0 Type-C (Device Mode) Camera 2x CSI (2-lane 15pin) Display 1x HDMI 2.1 Fan 1x 4 pin Fan Connector (5V PWM) CAN 1x CAN Multifunctional Port 1x 40-Pin Expansion header 1x 12-Pin Control and UART header RTC 1x RTC 2-pin, supports CR1220 but not included Power 9-19V DC Mechanical Dimensions (W x D x H) 130mm x 120mm x 58.5mm (with case) Installation Desk, wall-mounting Operating Temperature -10℃~60℃ Warranty 1 Year Hardware Overview reComputer J401 carrier board, included in the full system - reComputer J3011 ● Desktop, Wall Mount, Expandable, or Fit in Anywhere Application Application Fields: AI Video Analytics Machine Vision Autonomous Mobile Robot (AMR) Generative AI ● Capable of Bringing Generatie AI to the Edge Now you can build AI agents capable of processing large amounts of live or archived videos and images with Vision-Language Models (VLM) such as LLaVA, this new AI agents help nearly every industry summarize, search, and extract actionable insights from video using natural language. ● Build Multi-streams AI Video Analytics For building video analytics, Jetson Orin Nano incorporates the NVIDIA Multi-Standard Video Decoder. This video decoder accelerates video decode, supporting low resolution mobile content, Standard Definition (SD), High Definition (HD) and UltraHD (8K, 4K, etc.) reComputer J3011 can take 13x1080p30 streams. See our tested YOLOv8 performance using NVIDIA Deepstream of single model and multi model on multi streams. ● Fastest Way to Deploy Generative AI and Computer Vision Models We have jetson-example prepared for you! It offers one-line deploy projects edge AI applications of generative AI including Ollama, Llama3; computer vision including YOLOv8; and others. We have configured all environment for you to provides single command deployment of projects.
31,000.00 ฿
