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.
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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.
TS-2888X - All-in-one platform for AI solutions, storage, computing and development
The TS-2888X AI-Ready NAS features a high-performance Intel® Xeon® W processor with up to 18 cores/36 threads and up to 512 GB of DDR4 ECC memory. With a huge potential storage capacity that alleviates data storage problems that AI applications often face, the TS-2888X also supports up to 4 high-end graphics cards to significantly increase AI machine learning efficiency. Its hybrid storage architecture provides more flash storage space, allowing users to transfer pre-processed data to four U.2 SSDs for more efficient storage utilization. Through the training models generated by a TS-2888X, OWCT can be used for optimization and verification to facilitate deep learning inference in various industries. TS-2888X introduction:
QNAP NAS simplifies and verifies AI deep learning inference applications through the use of accelerator cards and OWCT acceleration
QNAP’s OWCT is a collaborative tool designed for deep learning applications and for integrating OpenVINO workflows. It allows trained AI models to be deployed to target environments for inference operations. It comprises an OpenVINO's open source library that can help shorten development time and provides a model optimizer that can make inference up to 100 times faster. The most salient feature of the OWCT is its GUI that makes using the OpenVINO features a breeze. Users can also view rendered images and download/archive inference results. OpenVINO introduction:
A TVS-672XT NAS with a Mustang-F100-A10 PCIe FPGA accelerator card will be showcased at the Expo to demonstrate how the QNAP NAS may be used as an inference server. Inferential verification features that visitors can look forward to include Smart Coin Recognition, Traffic Volume Management and Facial Recognition. Mustang F100 introduction:
"QNAP is set to position itself as an innovator in computing, networking and storage solutions from 2019 and is actively developing solutions for AI applications,” said Zhang Mingzhi, general manager of QNAP. “We have gained valuable experience from the practical applications of our AI solutions through our collaboration with renowned medical research institutions in Taiwan."
"AI applications integrate Big Data with cloud computing and powerful algorithms, and QNAP can integrate these key elements in both hardware platforms and open-source software. We look forward to the future and our appearance at the AI Expo in Japan", he added.
AfoBot video companion robot – A new solution that integrates health, education and surveillance
QNAP's first video companion robot AfoBot is powered by an Android™ 6-based operating system, and comes with 32 GB built-in storage to support voice and face recognition, as well as video calling. A wide range of features will be demonstrated at the Expo, including health care applications such as blood sugar measuring and recording, instructional videos on language learning, as well as safety surveillance. Not only is the AfoBot an intelligent assistant for daily life, it can also help general users or businesses to improve work efficiency. AfoBot introduction:
AI EXPO Tokyo 2019 - Artificial Intelligence Exhibition & Conference Exhibition date: April 3 to April 5, 2019 Venue: Tokyo Big Sight (Tokyo International Exhibition Center), 3-11-1 Ariake, Koto-ku, Tokyo, 135-0063, Japan QNAP booth: No. 9-6
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 their QNAP NAS.
How to use MongoDB on QNAP NAS ? MongoDB is a cross-platform document-oriented database program. Classified as a NoSQL database program, MongoDB uses JSON -like documents with schemata . MongoDB is developed by MongoDB Inc. . in QTS, already have the MongoDB qpkg in the app center, in this article will introduce how to setup MongoDB by using Container Station
InfluxDB is used as a data store for any use case involving large amounts of timestamped data: DevOps observability, IoT analytics & real-time analytics. Grafana : The leading open source software for time series analytics. already have some tutorial talking about setup influxDB and Grafana using docker 2017/04 Setting up InfluxDB and Grafana using Docker 2017/01 Linking InfluxDB and Grafana and today we are using QNAP NAS and their software tool Container Station to introduce How to setup influxDB and Grafana on QNAP NAS ? based on the tutorial (Chinese) https://github.com/qnap-dev/qnap-qiot-sdks/tree/master/projects/dae-modbus-influxDB-example
PostgreSQL is a powerful, open source object-relational database system. It has more than 15 years of active development and a proven architecture that has earned it a strong reputation for reliability, data integrity, and correctness. It runs on all major operating systems, including Linux, UNIX (AIX, BSD, HP-UX, SGI IRIX, Mac OS X, Solaris, Tru64), and Windows. It is fully ACID compliant, has full support for foreign keys, joins, views, triggers, and stored procedures (in multiple languages). It includes most SQL:2008 data types, including INTEGER, NUMERIC, BOOLEAN, CHAR, VARCHAR, DATE, INTERVAL, and TIMESTAMP. It also supports storage of binary large objects, including pictures, sounds, or video. It has native programming interfaces for C/C++, Java, .Net, Perl, Python, Ruby, Tcl, ODBC, among others, and exceptional documentation.
QVR Pro provides 8 embedded monitoring channels, allowing you to quickly build a cloud surveillance environment hosted on your QNAP NAS QVR Pro Client allows you to monitor cameras that are connected to the QVR Pro server and flexibly switch between live and playback modes to take full control over the monitored area. QVR Pro Client can be installed on Windows ® , Mac ® , Ubuntu ® devices or on the QNAP HybridDesk Station on the NAS. You can also install the mobile version on you iOS or Android devices from the Apple Store or Google Play.
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
Online Help Menu Overview Home Home introduction Quick Setup Wizard User Profile API Documentation for reference IoT applications Add IoT application Import IoT application Export IoT application IoT application Stop IoT application Delete IoT application Dashboard How to initialize the Dashboard Edit Widget Export Widget Share Dashboard Rule QNAP Customized Node Debug message Things Add Thing Thing info Mass deployment Delete Thing Search Thing Thing Types Add Thing Type Delete Thing Type Search Thing Type User Add User Edit user info Delete User Search User Settings API Keys Administrative Settings QIoT device gateway settings QIoT server network configuration myQNAPcloud service settings Back up QIoT Suite Lite Restore QIoT Suite Lite System Services About
How to use Home Bridge on QNAP NAS ? download link : https://www.qnapclub.eu/index.php/en/qpkg/738 HomeKit support for the impatient (Beta] Install homebridge + Legacy Plugins Homebridge is a lightweight NodeJS server you can run on your home network that emulates the iOS HomeKit API. It supports Plugins, which are community-contributed modules that provide a basic bridge from HomeKit to various 3rd-party APIs provided by manufacturers of "smart home" devices. Since Siri supports devices added through HomeKit, this means that with Homebridge you can ask Siri to control devices that don't have any support for HomeKit at all. For instance, using just some of the available plugins, you can say: Siri, unlock the back door. [pictured to the right] Siri, open the garage door. Siri, turn on the coffee maker. Siri, turn on the living room lights. Siri, good morning! - QPKG - integration - bundled with NodeJS , automatic install on Start all files are within /opt/HomeBridge/
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