{"product_id":"qnap-mustang-f100-a10-r10-fpga-accelerator-card","title":"QNAP MUSTANG-F100-A10-R10 FPGA Accelerator Card","description":"\u003ch5\u003eQNAP MUSTANG-F100-A10-R10 FPGA Accelerator Card\u003c\/h5\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eIntel® Vision Accelerator Design with Intel® Arria® 10 FPGA\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAs 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. \u003c\/p\u003e \u003cul\u003e \u003cli\u003eHalf-height, half-length, double-slot.\u003c\/li\u003e \u003cli\u003ePower-efficiency, low-latency.\u003c\/li\u003e \u003cli\u003eSupported OpenVINO™ toolkit, AI edge computing ready device.\u003c\/li\u003e \u003cli\u003eFPGAs can be optimized for different deep learning tasks.\u003c\/li\u003e \u003cli\u003eIntel® FPGAs supports multiple float-points and inference workloads.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cb\u003e OpenVINO™ toolkit\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eOpenVINO™ toolkit is based on convolutional neural networks (CNN), the toolkit extends workloads across Intel® hardware and maximizes performance.\u003cbr\u003e\u003cbr\u003eIt 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.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e Get deep learning acceleration on Intel-based Server\/PC\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eYou 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.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eOperating Systems\u003cbr\u003eUbuntu 16.04.3 LTS 64-bit, CentOS 7.4 64-bit, Windows 10 (More OS are coming soon)\u003c\/li\u003e \u003cli\u003eOpenVINO™ toolkit \u003cul\u003e \u003cli\u003eIntel\u003csup\u003e®\u003c\/sup\u003e Deep Learning Deployment Toolkit \u003cul\u003e \u003cli\u003e- Model Optimizer\u003c\/li\u003e \u003cli\u003e- Inference Engine\u003c\/li\u003e \u003c\/ul\u003e \u003c\/li\u003e \u003cli\u003eOptimized computer vision libraries\u003c\/li\u003e \u003cli\u003eIntel\u003csup\u003e®\u003c\/sup\u003e Media SDK\u003cbr\u003e*OpenCL™ graphics drivers and runtimes.\u003c\/li\u003e \u003cli\u003eCurrent Supported Topologies: AlexNet, GoogleNet, Tiny Yolo, LeNet, SqueezeNet, VGG16, ResNet (more variants are coming soon)\u003c\/li\u003e \u003cli\u003eIntel\u003csup\u003e®\u003c\/sup\u003e FPGA Deep Learning Acceleration Suite\u003c\/li\u003e \u003c\/ul\u003e \u003c\/li\u003e \u003cli\u003eHigh flexibility, Mustang-F100-A10 develop on OpenVINO™ toolkit structure which allows trained data such as Caffe, TensorFlow, and MXNet to execute on it after convert to optimized IR.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cb\u003e QNAP NAS as an Inference Server\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eOpenVINO™ 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.\u003c\/p\u003e","brand":"QNAP","offers":[{"title":"Default Title","offer_id":52830168219964,"sku":"1058942673","price":2276.6,"currency_code":"CAD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0864\/2242\/1820\/files\/1058942673.jpg?v=1772671407","url":"https:\/\/www.microcad.ca\/products\/qnap-mustang-f100-a10-r10-fpga-accelerator-card","provider":"Microcad.ca","version":"1.0","type":"link"}