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    MLE NVMe FPGA Full System Stack for AMD Versal AI Edge

    Application Notes, Storage, , , ,
    MLE NVMe FPGA Full System Stack for AMD Versal AI Edge TB20241108 Introduction When it comes to high-speed data recording, NVMe Streamer or similar NVMe IP cores are typically required to enable efficient data streaming from FPGAs to NVMe SSDs, as the onboard processors of FPGA boards are often not powerful enough. However, implementing NVMe IP cores presents challenges, particularly in handling file systems, where data read/write paths must be defined and data management gets complicated if multiple storage patterns are required. To address these needs, MLE has developed the NVMe FPGA Full System Stack for AMD Versal AI Edge FPGAs and verified the NVMe FPGA Full System Stack on Trenz TE0950 dev board. The NVMe Full System Stack enables seamless data streaming between the ARM cores on AMD Versal Edge FPGAs and NVMe SSDs via the PS PCIe Root Port.  Key benefits of the AMD Versal AI Edge NVMe FPGA Full System Stack include: Support for data rates from 1 GiB/s to 5.4 GiB/s (equal to 1 GB/s to 5.8 GB/s) Support dynamic, complex file system Support complex storage patterns, enabling multiple applications to access data through a block device  MLE NVMe FPGA Full System Stack MLE’s NVMe FPGA Full System Stack facilitates connectivity between the ARM Processing System on AMD

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    High-Speed Data Acquisition Systems

    Application Notes, Networking, , , , , , , ,

    High-Speed Data Acquisition Systems

    TB20230713

    Challenges and design choices to network FPGAs and servers for high-speed data acquisition or retrieval. We discuss TCP/IP as a very fast transport when using TCP/IP full accelerators, in the sensor-side FPGA and in the server. 

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    Recording with NVMe SSDs

    Application Notes, Storage,

    Sustained, High-Speed Data Recording with NVMe SSDs

    TB20201012

    MLE has been providing NVMe Streamer, an FPGA-based technology which enables users to directly stream onto NVM Express (NVMe) SSDs data to and from Programmable Logic (PL). The objective behind NVMe Streamer was to provide a solution for high speed data recording (and re-play) without any CPUs involved, either because your FPGA does not have an embedded CPU or because you are looking for a solution with deterministically high read/write bandwidth and performance scalability.

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