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.
Obsolete Product Notice:
This is an obsolete product and is no longer available for purchase. Contact BittWare for a recommended newer product.
BittWare’s A10PL4 is a low-profile PCIe x8 card based on the Intel Arria 10 GX FPGA. The Arria 10 boasts high densities and a power-efficient FPGA fabric married with a rich feature set including high-speed transceivers, hard floating-point DSP blocks, and embedded Gen3 PCIe x8. The board offers over 32 GB of memory, sophisticated clocking and timing options, and two front panel QSFP cages, each supporting 40 Gbps.
The A10PL4 also incorporates a Board Management Controller (BMC) for advanced system monitoring, which greatly simplifies platform management. All of these features combine to make the A10PL4 ideal for a wide range of applications, including network processing and security, compute and storage, instrumentation, broadcast, and SigInt.
The HRG gives you much more detail about the card such as block diagrams, tables and descriptions.
Get extended warranty support and save time with a pre-integrated solution!
Our technical sales team is ready to provide availability and configuration information, or answer your technical questions.
"*" indicates required fields
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.
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
BittWare Partner IP NVMe Bridge Platform NVMe Intercept AXI-Stream Sandbox IP Computational storage devices (CSD) allow storage endpoints to provide computational storage functions (CSF) to
BittWare On-Demand Webinar Computational Storage Using Intel® Agilex™ FPGAs: Bringing Acceleration Closer to Data Watch Now on Demand! Accelerating NVMe storage means moving computation, such