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QNAP NAS

QNAP online resources collection

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QNAP is the famous private cloud solution provider, the main product is NAS (Network attach Storage), this article collect QNAP online resources and help QNAPer / NAS beginner quickly know how to select NAS and find application information, if any suggestion website, welcome to comment and share with us. QNAP website  https://www.qnap.com/en/ Topic include NAS, Operation System, Application, Tutorial / FAQ , Forum and Customer Service.

How to provide a valid YouTube link for Gemini new function?!

> The user is asking for instructions on how to get a valid YouTube link from the official Android app that will work with me (Gemini). They are experiencing issues with links generated by the "share" function. I need to provide clear, step-by-step instructions for obtaining a valid YouTube URL from the Android app, focusing on methods that are likely to produce standard, accessible links. > Plan: > * Provide step-by-step instructions for getting a valid YouTube URL from the Android app using methods other than the "share" button if it's causing issues. > * Suggest methods like copying the link directly from the video page or sharing to another app and then copying. > * If those methods are not feasible or still produce problematic links, suggest using the YouTube website in a mobile browser as an alternative. > * Emphasize the importance of a standard YouTube URL format (e.g., youtube.com/watch?v=... or youtu.be/...). >    回應 You'r...

Introduction to Responsible AI

Responsible AI, also known as ethical AI or trustworthy AI, refers to the development and deployment of artificial intelligence (AI) systems that prioritize fairness, transparency, accountability, privacy, and social impact. It is an approach that aims to address the potential risks and challenges associated with AI technologies while maximizing their benefits for individuals, organizations, and society as a whole. The rapid advancement of AI technologies has brought about numerous opportunities and benefits across various domains such as healthcare, finance, education, and transportation. However, these advancements also raise concerns about potential biases, discrimination, lack of transparency, and unintended consequences that can arise from AI systems. Responsible AI seeks to mitigate these concerns by integrating ethical considerations into the entire lifecycle of AI development. This involves several key principles and practices: Fairness and Avoidance of Bias: Responsible AI ai...

QNAP NAS AI Solution related Youtube video (training, case study ... etc)

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  Try to collect all the   QNAP NAS AI Solution online resource, topics contain the training, case study ... etc. QNAP NAS AI Solution online resource. Youtube playlist: https://www.youtube.com/playlist?list=PLkQb5TqXP0e-jbFOeoDN8tTwWidq4kJ7x If you want to contribute to this playlist, please provide your email. QuAI: your AI developer package on QNAP NAS QNAP OWCT (inference tool) demo @AI Expo QNAP NAS AI Solution 1. QuAI https://bit.ly/3I6UdCE 2. OWCT https://bit.ly/3sNPgIB 3. QuMagie https://bit.ly/3p05cpY 4. QVR Face https://bit.ly/3JGkkR4 威聯通 人工智慧解決方案 1. QuAI https://bit.ly/3gWHXbR 2. OWCT https://bit.ly/3H2LmRh 3. QuMagie https://bit.ly/3LGgsSh 4. QVR Face https://bit.ly/3LKpIEY

QNAP Unveils KoiRetail, a Smart Retail Solution with AI-powered Data Analytics

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  Taipei, Taiwan, September 23, 2021  – QNAP® Systems, Inc., a leading computing, networking and storage solution innovator, today unveiled  KoiRetail  - a Smart Retail Solution that provides AI-powered video analysis to help small stores, retailers and shopping centers gain insights into customer behavior and business performance. KoiRetail assists users in building business strategies based on in-store customer activities with heatmaps, dwell rates, and active areas. Customer profiles can also be established for greater insights, and everything is accessible through a user-friendly interface. KoiRetail supports cross-camera detection with re-identification technology on cloud services, which can recognize the same person captured by several cameras at same time, allowing retailers to obtain clear customer profiles for more precise marketing strategy planning. “The inability to attain reliable data sources to analyze customer behavior and to measure marketing effect...

QNAP and ULINK Release DA Drive Analyzer, AI-powered Drive Failure Prediction Tool for NAS

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Taiwan, Taipei, December 9, 2021 - QNAP® Systems, Inc., a leading computing, and storage solutions innovator, partnered with ULINK Technology Inc. (ULINK), a world leader in providing IT storage interface test tools, to launch the DA Drive Analyzer . By leveraging cloud-based AI, this drive failure prediction tool allows users to take proactive steps to protect against server downtime and data loss by replacing drives before they fail. The DA Drive Analyzer leverages statistics generated from ULINK’s cloud AI portal. Driven by historical usage data of millions of drives provided by users just like yourself, the DA Drive Analyzer’s drive health prediction applies machine learning to track historical behaviors and is able to find drive failure events that won’t be flagged by traditional diagnostics tools that rely on S.M.A.R.T. thresholds. Its user interface is also much more friendly and intuitive, allowing you to make plans to replace drives based on clearly defined drive information....

QNAP Demonstrated AI-based Smart Retail Solution at Intel Edge Computing Solution Summit

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QNAP Demonstrated AI-based Smart Retail Solution at Intel Edge Computing Solution Summit Taipei, Taiwan, December 24, 2019 – QNAP® Systems, Inc. (QNAP) demonstrated its AI-based Smart Retail Solution and applications for Momentum, the largest sportswear franchise retail store in Taiwan at the Intel Edge Computing Solution Summit in Taipei on December 17, 2019. QNAP’s Smart Retail Solution integrates surveillance, facial recognition, customer flow analysis, and edge devices to greatly accelerate retail digital transformation and O2O commerce.

New NVR AI solution - QVR Face - QNAP’s Smart Facial Recognition Solution - Now Supported on Rackmount QNAP NAS

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QVR Face - QNAP’s Smart Facial Recognition Solution - Now Supported on Rackmount QNAP NAS Taipei, Taiwan, August 14, 2020 – QNAP® Systems, Inc., a leading computing, networking, and storage solution innovator, today announced that its rackmount NAS models now support QVR Face , the QNAP NAS-based smart facial recognition solution. Users can leverage QVR Face’s analytics data with a solution from QNAP’s strategic partner - CAYIN CMS Station - to provide smart retail signage solutions. The QVR Face smart facial recognition solution provides real-time video analytics from RTSP video streams and user-uploaded photos. The analytics provided by QVR Face can be used for configuring profiles, groups, and event notifications for instant facial recognition. QVR Face is ideal for door access management, attendance management, and smart retail services.

QNAP and IEI heading to AIoT business

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QNAP and iEi offer various optimized solutions for users with different needs. Come to join us and rapidly create your QIoT world to open more opportunities for the future.

How to use Chainer with Container Station

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How to use Chainer with Container Station What is Chainer? A Powerful, Flexible, and Intuitive Framework for Neural Networks. Bridge the gap between  algorithms and implementations of deep learning.  Powerful : Chainer supports CUDA computation. It only requires a few lines of code to leverage a GPU. It also runs on multiple GPUs with little effort. Flexible : Chainer supports various network architectures including feed-forward nets, convnets, recurrent nets and recursive nets. It also supports per-batch architectures. Intuitive : Forward computation can include any control flow statements of Python without lacking the ability of backpropagation. It makes code intuitive and easy to debug.

NTUH introduces AI skin disease diagnostic support system, partner with QNAP & IEI

NTUH introduces AI skin disease diagnostic support system, partner with QNAP & IEI Taipei, June 26 (CNA) National Taiwan University Hospital (NTUH) on Wednesday unveiled a skin disease diagnostic support system that will help doctors identify skin diseases by using artificial intelligence and smartphone apps to increase the precision of clinical diagnosis and reduce intrusive medical checks.

QNAP - AWS Greengrass 1.1.0 qpkg release , now support Intel OpenVINO

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AWS Greengrass 1.1.0 ( 2019/06/04 ) [ New features ] - Upgraded AWS Greengrass Core to version 1.7. - The AWS Greengrass Core version is now displayed in the About page. - Added support for AWS Machine Learning deployment (only available for x86-based NAS models running QTS 4.3.3 or later). - Added support for OpenVINO Inference (only available for x86-based NAS models running QTS 4.3.3 or later). - Added support for Code Signing.

QNAP join 10th CLOUD COMPUTING EXPO JAPAN demo new storage & network solution with AI application !

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QNAP join 10th CLOUD COMPUTING EXPO JAPAN demo new storage & network solution with AI application ! booth information: 【Exhibition】 10th CLOUD COMPUTING EXPO JAPAN (CLOUD JAPAN Spring) 【Booth No】 A35-15

QNAP NAS recommended software configuration for AI development

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QNAP NAS for AI - TS2888X AI is a hot topic, and now we are trying to create AI application directly on the storage server (NAS). QNAP NAS bundle with QNAP OS - QTS , to start AI application development on QNAP NAS, the first step is GPU: 1. How to setup GPU on QNAP NAS (QTS) 2. QNAP Nvidia GPU Driver release note  QNAP QTS 4.3.X / NVIDIA GPU Driver 1.2.x / 384 QNAP QTS 4.4.X / NVIDIA GPU Driver 2.0.x / 410 QTS 4.3.x : NVIDIA GPU Driver 1.2.x [Libraries update] - Nvidia Driver updated to 384.111 - Cuda updated to 9.0 , - ffmpeg updated to 3.4 - Added 10bit transcode. Suggest AI framework: Docker name Tag tensorflow/tensorflow 1.11.0-gpu pytorch/pytorch 0.4.1-cuda9-cudnn7-devel bvlc/caffe gpu mxnet/python 1.3.1_gpu_cu90_mkl_py3 microsoft/cntk 2.6-gpu-python3.5-cuda9.0-cudnn7.0 chainer/chainer v5.0.0b4-python3 QTS 4.4.x : NVIDIA GPU Driver 2.0.x [Libraries update] - Nvidia Driver updated to 410.78 - Cuda updated to 10.0 , - ffmpeg updated ...

QuAI tutorial: Train AI models on a TS-2888X with QTS and TensorFlow

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QuAI tutorial: Train AI models on a TS-2888X with QTS and TensorFlow follow up QNAP latest AI news in  QNAP QuAI Community How to setup TensorFlow on QNAP NAS  H ow to setup MXNet on QNAP NAS setup  Pytorch  with QNAP NAS setup  NVIDIA DIGITS  with QNAP NAS  setup Fast.AI with QNAP NAS  QNAP NAS for AI - TS2888X QNAP Systems, Inc., headquartered in Taipei, Taiwan, provides a comprehensive range of cutting-edge Network-attached Storage (NAS) and video surveillance solutions based on the principles of usability, high security, and flexible scalability. QNAP offers quality NAS products for home and business users, providing solutions for storage, backup/snapshot, virtualization, teamwork, multimedia, and more. QNAP envisions NAS as being more than "simple storage", and has created many NAS-based innovations to encourage users to host and develop Internet of Things, artificial intelligence, and machine learning solutions on ...

三栄ハイテックスft.QNAP TS-877 - 第三回 AI 人工知能 Expo 2019

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今日からAI EXPO 2019開催しております。 たくさんお客様のご来場誠にありがとうございます。 今年のデモ内容を公開します。 ぜひ、ご覧ください。 デモ内容その3: 三栄ハイテックスft.QNAP TS-877 #qnapjp #qnapnas #ストレージ #Transflow #三栄ハイテックス #車道認識 video:  https://www.facebook.com/ruru.chiang.5205/videos/125713291915835/ more information in   QNAP QuAI Community QNAP NAS for AI - TS2888X Tutorial:  How to setup TensorFlow on QNAP NAS  H ow to setup MXNet on QNAP NAS setup  Pytorch  with QNAP NAS setup  NVIDIA DIGITS  with QNAP NAS  setup Fast.AI with QNAP NAS 

QNAP、日本のAI 市場にフォーカスしするAI-Ready NAS および多様なAI 応用開発成果を第3回AI・人工知能 EXPO出展

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台湾、台北 2019 年 4 月 2 日–  2019 年4 月 3 日から東京ビッグサイト(青海展示棟) (Tokyo Big Sight Aomi Hall、Booth No. 9-6) で開催される第3回 AI・人工知能 EXPO (AI EXPO TOKYO 2019) に、QNAP® Systems, Inc. は機械学習専用に開発したTS-2888X AI-Ready NASを出展します。独自のQuAI 開発者キットおよびOpenVINO™ Workflow Consolidation Tool (略称OWCT)  と合わせた Intel® OpenVINO™ ワークフロー統合ツールにより、AI アプリケーションの開発プロセスを大幅に簡略化できるだけでなく、企業組織が経済的、効率的な方法で急速にコンピュータビジョン(Computer Vision)とディープラーニングソリューションを展開するのにも役立ちます。同会場では家庭向け映像パートナーロボットAfoBotも展示し、健康、教育、監視の統合コンテンツをご覧いただけます。

2019 AI EXPO: QNAP enters the Japanese AI market with AI-Ready NAS and multi-AI applications

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Taipei, April 2, 2019  – QNAP® (QNAP® Systems, Inc.) will showcase the TS-2888X AI-Ready NAS for machine learning at the 2019 Artificial Intelligence Exhibition & Conference (AI EXPO 2019). The TS-2888X uses the exclusive QuAI Developer Suite and the Intel® OpenVINO™ Workflow Consolidation Tool (OWCT) to simplify AI application development processes, and helps organizations develop Computer Vision and deep learning solutions with cost effectiveness and high efficiency. QNAP will also unveil its smart home video companion robot, AfoBot, which integrates health, education and surveillance applications.

How to setup Fast.AI on QNAP NAS TS-2888X

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How to setup Fast.AI on QNAP NAS Fast.AI website:   https://www.fast.ai/   online courses (all are free and have no ads): Practical Deep Learning for Coders Cutting Edge Deep Learning for Coders Introduction to Machine Learning for Coders Computational Linear Algebra  software:  fastai v1 for PyTorch We are testing Fast.AI on QNAP NAS QNAP NAS for AI training : TS-2888X QTS 4.4.0 https://www.qnap.com/qts/ docker image from dockerhub : paperspace/fastai https://hub.docker.com/r/paperspace/fastai Tag : 1.0-release

How to use PyTorch on QNAP NAS with Container Station?

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How to use PyTorch with Container Station? What is PyTorch? It’s a Python-based scientific computing package targeted at two sets of audiences: A replacement for NumPy to use the power of GPUs A deep learning research platform that provides maximum flexibility and speed

How to setup GPU on QNAP NAS (QTS 4.3.5+)

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How to setup GPU on QNAP NAS (QTS 4.3.5+) ! Actually QNAP start to support GPU in QTS 4.3.5, so that if you are using QTS 4.3.6 or QTS 4.4.0 you can use GPU as well. in this tutorial we will  introduce QTS & setup GPU with QNAP NAS QTS 4.3.5  https://www.qnap.com/qts/4.3.5/en QTS release note  https://www.qnap.com/en/releasenotes/?cat_choose=5