reComputer J2022 임베디드 인공지능 장치

-Jetson Xavier NX 16GB

(reComputer J2022-Edge AI Device

with Jetson Xavier NX 16GB module)

개요

  • 본 제품은 reComputer J2022 임베디드 인공지능 장치 -Jetson Xavier NX 16GB 입니다.
  • Jetson Xavier NX 16GB 로 만들어진 reComputer J2022  입니다.
  • 21TOPS의 AI 성능을 가진 Edge AI 장치입니다.
  • 컴퓨터 비전, 임베디드 머신 러닝, 음성 인공지능, 로봇 어플리케이션 등에 사용이 가능합니다.
  • 알림: 사진은 대표이미지로 모델별로 상이 할 수 있습니다

특징

  • Hand-size edge AI device: built with Jetson Xavier NX 16GB Production Module, delivering 384 NVIDIA CUDA® cores delivers up to 21 TOPs AI performance with a small form factor of 130mm x120mm x 50mm.
  • NVIDIA Jetson Xavier NX Dev Kit alternative: the carrier board brings rich IOs including a Gigabit Ethernet port, 4 USB 3.1 ports, an HDMI port, and a DP port
  • Pre-installed NVIDIA JetPack: support the entire Jetson software stack and various developer tools for building fast and robust AI application provided by Seeed Edge AI partners, helps develop innovative AI solution for manufacturing, logistics, retail, service, agriculture, smart city, healthcare, and life sciences, etc
  • Expandable with the onboard interfaces and reComputer case, able to mount on the wall with mounting holes on the back.

  • 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

    Speech AI

    • NVIDIA® Riva is a GPU-accelerated SDK for building Speech AI applications that are customized for your use case and deliver real-time performance.

    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.

문서

연관제품