
Comparing FPGA RTL to HLS C/C++ using a Networking Example
White Paper Comparing FPGA RTL to HLS C/C++ using a Networking Example Overview Most FPGA programmers believe that high-level tools always emit larger bitstreams as
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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White Paper Comparing FPGA RTL to HLS C/C++ using a Networking Example Overview Most FPGA programmers believe that high-level tools always emit larger bitstreams as
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
Go Back to IP & Solutions Dynamic Neural Accelerator ML Framework EdgeCortix Dynamic Neural Accelerator (DNA), is a flexible IP core for deep learning inference
Build ultra-low latency apps for fintech using Enyx off-the-shelf solutions and the nxFramework.