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The QXP-3X8PES PCIe card is designed for expanding the capacity of a QuTS hero or QTS NAS by connecting it to QNAP TL PCIe Interface JBOD. Multiple JBODs can be daisy-chained via high-speed cables to scale up to petabyte-level storage to handle exponential data growth caused by archiving/backing up surveillance recordings, RAW multimedia files, big data, and virtualization applications.Expand up to petabyte-scale capacityA NAS with a QXP-3X8PES can be daisy-chained with multiple TL PCIe Interface JBODs (TL-R1200PES-RP, TL-R1600PES-RP and TL-R2400PES-RP), which supports SATA HDDs. This provides the potential to store up to petabyte-scale capacity.

QNAP 8GB DDR4 SDRAM Memory Module - For NAS Server - 8 GB - DDR4-3200/PC4-25600 DDR4 SDRAM - 3200 MHz - 260-pin - SoDIMM

QNAP 16GB DDR4 SDRAM Memory Module - For NAS Server - 16 GB - DDR4-3200/PC4-25600 DDR4 SDRAM - 3200 MHz - 260-pin - SoDIMM

QNAP 8GB DDR4 SDRAM Memory Module - For NAS Server - 8 GB - DDR4-3200/PC4-25600 DDR4 SDRAM - 3200 MHz - ECC - 260-pin - SoDIMM

The SAS HBA PCIe Expansion Card is designed for expanding the capacity of a QNAP NAS by connecting it to TL SAS JBOD storage enclosures and REXP expansion units. Multiple expansion units can be daisy-chained via high-speed mini SAS HD cables to expand the total disk capacity up to 4.6PB to meet growing data storage needs. SAS-based storage solutions can assist businesses in creating highly-reliable IT environments for virtualization, surveillance, Big Data, video editing and TV broadcast storage.Use high-performance and high-availability SAS drivesCompared with SATA, SAS enables low-latency, power-efficient, and IOPS-optimized storage capabilities. Each SAS port combines four 12Gb/s SAS channels, delivering up to 48Gb/s per host connection.Expand your total disk capacity up to 4.6PBA NAS with a SAS expansion card can be daisy-chained with up to 16 devices, including TL SAS JBOD storage enclosures and REXP expansion units. This provides to potential to store up to 4.6PB (calculated using 18TB drives in sixteen 16-bay enclosures).Attain faster backup and uninterrupted services with flexible port configurationSAS expansion cards can be flexibly configured to fit various usage applications. By managing multipath or link aggregation with NAS to expansion units, data transfer loads are effectively balanced, and you can avoid interrupting system services and prevent backup failures.

The dual-port QXG-100G2SF-E810 100 GbE network expansion card with Intel® Ethernet Controller E810 supports PCIe 4.0 and provides up to 100Gbps bandwidth to overcome performance bottlenecks. With iWARP/RDMA and SR-IOV support (available soon), the QXG-100G2SF-E810 greatly boosts network efficiency and is ideal for I/O-intensive and latency-sensitive virtualization and data centers. The QXG-100G2SF-E810 is a perfect match for all-flash storage to realize the highest performance potential for ever-demanding IT challenges.Ensure reliable data transfer with Forward Error Correction (FEC)The QXG-100G2SF-E810 supports FEC to overcome packet loss – a potentially common occurrence in fast, long-distance networks. FEC helps the receiving side detect and recover lost data to correct bit errors, thus ensuring reliable data transmission over “noisy” communication channels. With three FEC modes, you can use a suitable cable and switch to build an optimal network environment.Pair with high-speed switches for high-performance, low-latency data centersThe QXG-100G2SF-E810 network expansion card can be connected to a switch either with a QSFP28 cable or a QSFP28 to (4) SFP28 cable. You can also configure network redundancy to achieve network failover via the switch for continuous service and high availability.Unleash the full potential of the NVMe all-flash TS-h2490FUSupporting twenty-four (24) U.2 NVMe Gen 3 x4 SSDs, QNAP’s flagship TS-h2490FU NVMe all-flash storage features a PCIe Gen 4 x16 slot that enables the QXG-100G2SF-E810 to fully realize 100Gbps performance and eliminate bottlenecks in modern data centers, virtualization, cloud applications, and mission-critical backup/restore tasks.Supports Windows and Linux servers/workstationsBesides QNAP devices, the QXG-100G2SF-E810 supports many platforms (including Windows 10, Windows Server, and Linux/Ubuntu) allowing you to attain optimal business performance for a wider range of system applications and services. The higher bandwidth density with reduction in links helps reduce cabling footprint and operational costs.

As QNAP NAS evolves to support a wider range of applications (including surveillance, virtualization, and AI) you not only need more storage space on your NAS, but also require the NAS to have greater power to optimize targeted workloads. The Mustang-F100 is a PCIe-based accelerator card using the programmable Intel® Arria® 10 FPGA that provides the performance and versatility of FPGA acceleration. It can be installed in a PC or compatible QNAP NAS to boost performance as a perfect choice for AI deep learning inference workloads.OpenVINO™ toolkitOpenVINO™ toolkit is based on convolutional neural networks (CNN), the toolkit extends workloads across Intel® hardware and maximizes performance.It can optimize pre-trained deep learning model such as Caffe, MXNET, Tensorflow into IR binary file then execute the inference engine across Intel®-hardware heterogeneously such as CPU, GPU, Intel® Movidius™ Neural Compute Stick, and FPGA.Get deep learning acceleration on Intel-based Server/PCYou can insert the Mustang-F100 into a PC/workstation running Linux® (Ubuntu®) to acquire computational acceleration for optimal application performance such as deep learning inference, video streaming, and data center. As an ideal acceleration solution for real-time AI inference, the Mustang-F100 can also work with Intel® OpenVINO™ toolkit to optimize inference workloads for image classification and computer vision.QNAP NAS as an Inference ServerOpenVINO™ toolkit extends workloads across Intel® hardware (including accelerators) and maximizes performance. When used with QNAP’s OpenVINO™ Workflow Consolidation Tool, the Intel®-based QNAP NAS presents an ideal Inference Server that assists organizations in quickly building an inference system. Providing a model optimizer and inference engine, the OpenVINO™ toolkit is easy to use and flexible for high-performance, low-latency computer vision that improves deep learning inference. AI developers can deploy trained models on a QNAP NAS for inference, and install the Mustang-F100 to achieve optimal performance for running inference.