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To accelerate the layout in the networking market, QNAP® Systems, Inc. today unveils its first Universal Customer Premise Equipment (uCPE) - the QuCPE series. The QuCPE is powered by QNAP’s proprietary QNE (QNAP Network Equipment) operating system that supports SD-WAN and Network Function Virtualization (NFV), allowing IT administrators to centrally perform large-scale application deployment and enabling centralized cloud management, therefore achieving Zero Touch Provisioning and helping to reduce IT maintenance expenses. The QNE OS supports a wide range of virtual applications, including virtual machines (VMs), containerized applications and Kubernetes cluster architecture, greatly simplifies IT maintenance complexity and makes the QuCPE series the industry's first edge computing networking solution that combines both hardware and software advantages.

The QNAP QuCPE series features an Intel® Xeon® D processor and supports Intel® QAT (QuickAssist) network acceleration technology to enable hardware network acceleration and provide high-performance network services. The QNE OS features a graphical user interface (GUI) to facilitate large-scale network management and enables fast boot-up to reduce service downtime. The support for Intel® DPDK (Data Plane Development Kit) also helps boost packet processing, performance, and throughput. The QNE OS not only inherits the support for a wide range of virtualized applications from the QTS system, but also supports Kubernetes containerized applications and Intel® Open Network Edge Services Software (OpenNESS) to provide cross-host/cluster application deployment and management.

The QuCPE series features the exclusive QNE OS that enables high-performance and agile SD-WAN solution with built-in video surveillance app. The QNE also integrates Intel® OpenVINO AI engine for referencing, making edge devices capable of analyzing vision/video data to empower the system with AI-based vision intelligence. The system enables future AI-based network video deployment for multi-branches and offices across borders.

Take retailing for example, each chain can utilize the QuCPE series to implement network management from the cloud to ensure in-store POS performance, Wi-Fi service, and IP camera functionality, along with the support of QVR Face for facial recognition and QuMagie Core for object identification. While consistent POS and order management is prioritized over the other apps, once emergent instances happen, the AI-oriented vision will verify the incident and automatically trigger the QNE to prioritize network resources for IP camera recordings. This not only balances the network traffic but also maintains performance requirements for quality experience to fulfill intelligent retailing network management.

“Intel architecture and our robust portfolio of open source software provide a versatile, high-performance foundation for network and edge deployments that are 5G-ready,” said Renu Navale, senior director of Edge Services & Industry Enabling at Intel. “AI-enabled Intel-based platforms at the network edge or on-premise will let customers gain insights into their data and turn it into value for their businesses.”

The QNE provides an App Store, a platform that allows managed service providers, independent software vendors, and business organizations to easily install and update the VNF and apps in the QNE operating system from the cloud. The App Store features well-rounded licensing and payment services to help keep software developers hassle-free from designing the payment framework, performing as a user-friendly and collaborative ecosystem for enthusiastic developers to foster greater business innovation with QNAP.

To learn more about the QuCPE series or inquire third-party cooperation opportunities, please contact


Credit to source, information taken from:
QNAP Systems Inc. (2019). QNAP Announces QuCPE Series and QNE OS – an Edge Computing Solution to Deploy AI-based Networking for Retail [online] QNAP Systems, Inc. - Network Attached Storage (NAS).
Available at: [Accessed 03 June 2019].