BittWare’s 250-U2 is a Computational Storage Processor conforming to the U.2 form factor. It features an AMD Kintex UltraScale+ FPGA directly coupled to local DDR4 memory. This energy-efficient, flexible compute node is intended to be deployed within conventional U.2 NVMe storage arrays (approximately 1:8 ratio) allowing FPGA-accelerated instances of:
The 250-U2 can be wholly programmed by customers developing in-house capabilities or delivered as a ready-to-run pre-configured solution featuring Eideticom’s NoLoad® IP. The 250-U2 is front-serviceable in a 1U chassis and can be mixed in with storage units in the same server, allowing users to mix-and-match storage and acceleration.
The HRG gives you much more detail about the card such as block diagrams, tables and descriptions.
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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
Explore using oneAPI with our 2D FFT demo on the 520N-MX card featuring HBM2. Be sure to request the code download at the bottom of the page!
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 520NX Stratix 10 AI-optimized FPGA with HBM2 AI-Optimized for High-Bandwidth, Low-Latency AI Acceleration Obsolete Product Notice: This is an obsolete product and
