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      • Home
      • Storage Acceleration

      # Storage Acceleration

      FPGA Full System Stack for AMD Versal

      Trenz Electronic and MLE Release “FPGA Full System Stacks” for AMD Versal™

      May 14, 2026 3 weeks ago

      When Wall Street Wanted to Program Computers without having computer programmers, they invented the spreadsheet! This was our spirit when we came up with FPGA Full System Stacks: Make building…

      MLE High Speed Data Acquisition and Preprocesing with NVMe Fast FPGA RAID

      MLE Showcases NVMe Fast FPGA RAID – The Newest Storage Acceleration Technology at AMD 2025 EMEA Signal Processing Working Group

      Nov 4, 2025 7 months ago

      At AMD’s 2025 EMEA Signal Processing Working Group on Oct. 29-31 at AMD Dublin, Ireland, MLE presented the newest storage acceleration technology: the NVMe Fast FPGA RAID (FFRAID).  With MLE…

      MLE - FPGA Based 400GBit_s Data Recorder - Insight into different pitfalls and design choices

      FPGA Based 400GBit/s Data Recorder – Insight into Different Pitfalls and Design Choices

      Jul 8, 2024 2 years ago

      Presentation at the FPGA Conference 2024, Munich, Germany, July 2, 2024 Modern Systems can combine a lot of sensors like cameras, radars, Lidar or high speed ADC/DAC. During development, it…

      MLE Fast FPGA RAID - FFRAID_600x200

      NVMe Fast FPGA RAID Accelerator

      Jul 4, 2024 2 years ago

      NVMe Fast FPGA RAID Accelerators High-Speed Data Acquisition Systems, network telemetry analytics or broadcast recording systems, for example, do require storing massive data in non-volatile memory. For those cases where…

      FPGA Conference EW24 Banner - 400Gbit FPGA Data Recording IP

      MLE Presents “FPGA Based 400GBit/s Data Recorder – Insight into Different Pitfalls and Design Choices” at FPGA Conference 2024

      Jun 18, 2024 2 years ago

      The FPGA Conference Europe 2024 will be held July 2-4 in Munich, Germany. There,  MLE will present “FPGA Based 400GBit/s Data Recorder – Insight into Different Pitfalls and Design Choices.”…

      MLE Presents “FPGA Based High Speed Recording – Do’s and Don’t’s of Building a 400GBit/s Data Recorder” at Embedded World 2024

      MLE Presents “FPGA Based High Speed Recording – Do’s and Don’t’s of Building a 400GBit/s Data Recorder” at Embedded World 2024

      Mar 5, 2024 2 years ago

      The Embedded World Conference 2024 will be held April 9-11 in Nuremberg, Germany. There,  MLE will present “FPGA Based High Speed Recording – Do’s and Don’t’s of Building a 400GBit/s…

      Multi-GHz RF Record and Replay Solution for Test and Measurement Applications

      Multi-GHz RF Record and Replay Solution for Test and Measurement Applications

      Nov 16, 2023 3 years ago

      Record and replay of Multi GHz RF Signals can be a challenge when it comes to development of 5G/6G mobile communication. Other fields like measurement systems, telemetry and quantum computing…

      FPGA-Based NVMe Accelerator Boosts Digital Radar Research

      FPGA-Based NVMe Accelerator Boosts Digital Radar Research

      Nov 13, 2023 3 years ago

      The Institute of Microwave Engineering (MWT) at University of Ulm has licensed MLE’s NVMe Streamer, an configurable high performance NVMe Full Accelerator. Says Prof. Dr.-Ing. Christian Waldschmidt, head of the…

      MLE Co-Exhibits with Prodesign at Super Computing Conference 2023

      MLE Co-Exhibits with Prodesign at Super Computing Conference 2023

      Oct 23, 2023 3 years ago

      Partner ProDesign and MLE will showcase the latest FPGA-based High-Performance Compute solutions at Super Computing Conference SC23.  To address the acceleration needs of Disaggregated Computational Storage or At-Speed In-Network Processing,…

      Composable Edge Cloud Systems With NVMe-over-5G URLLC

      Composable Edge Cloud Systems With NVMe-over-5G URLLC

      Mar 14, 2023 3 years ago

      Presentation at Embedded World 2023, Nuremberg, Germany 5G Radio addresses machine-type communication with low energy demands. 5G Edge Clouds reduce processing latency by bringing extra compute close to the “edge”.…