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FAN-4CM-R01- Dimensions: 40x40x20mm- Rated Voltage: DC 12V- Rated Power Consumption: 1.08W- Rotational Speed: 9000 RPM- Safety Approvals: UL No. E187205 / CUL No. E187205 / TUV No. R50027591

TS-EC1279U-SAS-RP

The IS-400 Pro is a robust all-in-one industrial NAS designed for reliable operation. Ideal for factories, warehouses, and transportation, the IS-400 Pro delivers high performance with persistent throughput and provides a comprehensive storage solution.

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.

qnap 4 Gb 288-pin U-dimm Ddr4 Ram Module

QNAP 16GB DDR4 SDRAM Memory Module - For NAS Server, Notebook - 16 GB - DDR4-2666/PC4-21300 DDR4 SDRAM - 2666 MHz - CL19 - Non-ECC - Unbuffered - 260-pin - SoDIMM

The QNAP QXP-1600eS-A1164 expansion card is designed for QNAP’s TL series JBOD storage enclosures that support SATA drives. The storage capacity of a QNAP NAS or Windows/ Ubuntu (Linux) PC can be easily expanded by installing a QXP-1600eS-A1164 into a PCIe slot, and then connecting it to a TL series JBOD storage enclosure using an SFF-8088 or SFF-8644 cable. The low-profile card form-factor allows the QXP-1600eS-A1164 to be compatible with a wide range of NAS, computers, and servers.Supports QNAP NAS and Windows/Ubuntu PCsEach SFF-8088 or SFF-8644 (internal) connector on the QXP-1600eS-A1164 supports up to four SATA drives. A QXP-1600eS-A1164 can be installed based on the number of drives you want to connect for storage expansion. For example, a QXP-1600eS-A1164 can be connected to a 16-bay desktop TL-D1600S JBOD enclosure or a 12-bay rackmount TL-R1200S-RP JBOD enclosure; it can also be connected to two 8-bay desktop TL-D800S JBOD enclosures simultaneously or connected to a 12-bay rackmount TL-R1200S-RP JBOD enclosure and a 4-bay rackmount TL-R400S JBOD enclosure simultaneously.QNAP JBOD Manager for Windows/Ubuntu usersThe QNAP JBOD Manager utility allows Windows and Ubuntu (Linux) PC users to monitor the status of fans, system temperature, and drive information of TL series JBOD storage enclosures.