
FPGA Acceleration of Convolutional Neural Networks (CNNs)
White Paper FPGA Acceleration of Convolutional Neural Networks Overview Convolutional Neural Networks (CNNs) have been shown to be extremely effective at complex image recognition problems.
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The 250S+ is a fully-programmable NIC-sized near-storage accelerator featuring a Xilinx UltraScale+ Kintex FPGA. This PCIe Gen 3-capable accelerator card can be added to PCIe or CAPI-enabled server platforms introducing an energy-efficient acceleration capability for applications including:
The 250S+ is available with a choice of two configurations: up to four M.2 NMVe SSDs coupled on-card to the Xilinx FPGA, OCuLink or MiniSAS-HD break-out cabling allowing the 250S+ to be part of a massively scaled storage array.
The HRG gives you much more detail about the card such as block diagrams, tables and descriptions.
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White Paper FPGA Acceleration of Convolutional Neural Networks Overview Convolutional Neural Networks (CNNs) have been shown to be extremely effective at complex image recognition problems.
Efficient Sharing of FPGA Resources in oneAPI Building a Butterfly Crossbar Switch to Solve Resource Sharing in FPGAs The Shared Resource Problem FPGA cards usually
BittWare On-Demand Webinar High Performance Computing with Next-Generation Intel® Agilex™ FPGAs
PCIe FPGA Card XUP-PL4 UltraScale+ FPGA Low-Profile PCIe Card Dual QSFP28s and DDR4 Need a Price Quote? Jump to Pricing Form Ready to Buy? Check