QNAP® Systems, Inc. (QNAP), a leading computing, networking and storage solution innovator, today announced its partnership with ULINK Technology Inc. (ULINK), the world leader in providing IT storage interface test tools, to jointly deliver a smart drive health analysis and failure prediction service powered by artificial intelligence. The service aims to provide QNAP NAS users with an early indication of potential drive issues, to avoid expensive downtime and business disruptions.
With optional licenses, QNAP NAS will collect drive health information and submit it to the ULINK database for analysis and failure prediction. Users can view details of the result both on the ULINK website and within QTS. QNAP and ULINK comply with GDPR and CCPA regulations to ensure user data privacy and confidentiality. The availability of the service will be announced separately.
“With our experience, we hope to bring users a mechanism of protection before the drive becomes unusable,” said Joseph Chen, CEO of ULINK, adding: “This technology that we are developing is rooted in our years of experience in the storage testing industry.”
Y.T. Lee, VP R&D of QNAP, said: “By partnering with ULINK, QNAP can present a truly intelligent disk health analysis and failure prediction service to help our users identify potential issues in time and take preventive actions to ensure utmost peace of mind.”
QNAP will showcase the smart, AI-powered drive health analysis and failure prediction service with ULINK at the QNAP booth (J0830, TaiNEX 1) during COMPUTEX TAIPEI 2019. Visitors are cordially invited to join us for the first-hand experience of an innovative and intelligent IT operation/management scenario.
Credit to source, information taken from:
QNAP Systems Inc. (2019). QNAP Joins Hands with ULINK for Innovative AI-Powered Drive Health Analysis and Failure Prediction Service [online] QNAP Systems, Inc. - Network Attached Storage (NAS). Available at: https://www.qnap.com/en/news/2019/qnap-joins-hands-with-ulink-for-innovative-ai-powered-drive-health-analysis-and-failure-prediction-service [Accessed 29 May 2019].