Please fill in the form below, so we can support you in your request.
Please fill in the form below, so we can support you in your request.

    X
    CONTACT MLE
    CONTACT MLE
    Please fill in the form and your requirements below, and our team will contact you soon.

      X
      CONTACT MLE

      MLE Presents “Beyond the Bitstream: Streamlining Heterogeneous Computing with the MLE FPGA Full System Stack” at FPGA Conference 2026

      Beyond the Bitstream: Streamlining Heterogeneous Computing with the MLE FPGA Full System Stack - FPGA Conference 2026

      The FPGA Conference Europe 2026 will be held June 30 – July 2 in Munich, Germany. There,  MLE will present “Beyond the Bitstream: Streamlining Heterogeneous Computing with the MLE FPGA Full System Stack.”

      As the demand for domain-specific architectures grows, FPGAs have become essential for offloading compute-intensive tasks in networking, storage, and automotive sectors. However, the “Integration Gap”—the months of engineering effort required to build reliable PCIe/DMA infrastructure, kernel drivers, and memory management—often acts as a barrier to entry.

      This presentation introduces the Missing Link Electronics (MLE) FPGA Full System Stack (FFSS), a pre-validated, cross-platform framework designed to eliminate architectural “plumbing” and accelerate application-specific development.

      Date: Thursday July 2rd, 2026

      Track Architecture 2:20pm-3:00pm CEST

      Location: Hotel NH München East Conference Center, Munich, Germany

      Join MLE at FPGA Conference 2026 and discover how our FPGA Full System Stacks de-risk design process, rapidly validate your prototypes, and accelerate your time-to-market!

      Alpha Data and MLE Partner To Cut Firmware Development Burden From Defense FPGA Procurement

      Alpha Data SOSA-aligned FPGA Full System Stacks

      Littleton, CO, June 8, 2026 – Alpha Data Parallel Systems and Missing Link Electronics (MLE) have announced a technology partnership aimed at simplifying FPGA (Field-Programmable Gate Array) deployment for defense and aerospace customers.

      The collaboration introduces a new concept “FPGA Full System Stacks”, integrated hardware and software platforms designed to reduce procurement complexity, development risk, and time-to-deployment for FPGA based systems.

      The platforms combine Alpha Data’s ruggedized, SOSA (Sensor Open Systems Architecture)-aligned FPGA hardware with MLE’s pre-validated IP cores and software stacks, covering applications including high-speed data recording, signal processing, data transport, and system-level firmware. The result is a fully integrated FPGA platform delivered through a single vendor relationship.

      Defense programs often face delays and complexity when procuring FPGA software and specialist IP separately from hardware. The FPGA Full System Stack approach allows customers to source integrated hardware and software through a single approved supplier. Because each platform is validated end-to-end before delivery, customers can reduce qualification overhead, accelerate development timelines, and lower integration risk. 

      As AMD Premier Partners, both companies bring extensive FPGA expertise to the offering. The collaboration provides customers with a single point of accountability across hardware, software, and overall system performance.

      Adam Smith, Chief Executive Officer of Alpha Data, said:

      “Defense customers should not have to carry the cost and risk of integrating hardware and software themselves. By partnering with MLE, we’re lifting the procurement burden from our end customers, offering hardware and software that is qualified and procured together, ready to deploy. That is a meaningful change for program teams working under time and budget pressure.”

      Endric Schubert, CTO of Missing Link Electronics added:

      “The new Alpha Data FPGA Full System Stacks integrates and verifies everything engineers need to develop their application immediately. This eliminates the time and effort required to build a prototype from scratch, enabling teams to validate concepts rapidly. At the same time, this integrated approach ensures the users are fully supported by both hardware and software experts throughout their development cycle.”

      The offering targets mission-critical aerospace and defense applications including, radar and sonar systems, electromagnetic spectrum operations (EMSO), military communications using MIMO and pre-6G waveform processing, edge AI inference, and signals intelligence (SIGINT).

      The product line also supports space and satellite applications, including hardware configurations with single-event latch-up mitigation for high-radiation environments. Each platform is SOSA-aligned and qualified for deployment in ruggedized, conduction-cooled environments.

      Alpha Data SOSA-aligned FPGA Full System Stack in VPX format

      FFSS-ADA-VA330 VPX module with PS or PL-based NVMe data streaming

      FFSS-ADA-VA330 3U VPX Module

      • Based on AMD Versal™ RF VR1602 (VSVA2488) SoC
      • 4x 32GByte LPDDR5 SDRAM
      • High-speed NVMe SSD Connectivity to/from FPGA Programmable Logic, configured and wired to M.2 Connector
        • Up to 5 GiB/s read/write speeds (depend on SSD)
        • 551k LUTs total (approx. 30k LUTs reserved by FFSS)
      • Support Data Generator and Data Checker test application (use as design example)
      • Support Data Recording & Replay
      FFSS-ADA-V9202 VPX Module

      FFSS-ADA-V9202 3U VPX Module

      • Based on AMD Zynq® Ultrascale+ XCZU47DR-2, XCZU48DR-2 (FFVE1156)
      • 1x 16Gb DDR4 SDRAM (32-bit wide to PS) and 2x 8Gb DDR4 SDRAM (8-bit wide to PL)
      • High-speed NVMe SSD Connectivity to/from FPGA Programmable Logic
        • Up to 5 GiB/s read/write speeds (depend on SSD)
        • 425k LUTs total (approx. 30k LUTs reserved by FFSS)
      • Support Data Generator and Data Checker test application (use as design example)
      • Support Data Recording & Replay

      Looking for NVMe Stacks Integrated SOSA-aligned VPX Modules?

      Strengthening Edge Trust with Hardware-Backed OP-TEE Integration

      Advanced Hardware-Accelerated OP-TEE Security on AMD Versal FPGAs

      Securing data at the edge requires close alignment between hardware capabilities and trusted software environments. Missing Link Electronics (MLE) has extended the Open Portable Trusted Execution Environment (OP-TEE) to support advanced hardware-accelerated cryptographic capabilities on a high-performance AMD Versal™ Adaptive SoC platform.

      This work focuses on integrating key cryptographic primitives directly into the trusted execution environment, enabling efficient and secure access to hardware-backed security features. The implementation includes support for:

      • SHA2-256, SHA2-384, and SHA2-512 hashing
      • Counter DRBG (Deterministic Random Bit Generator)
      • ECDSA Key Generation, Signature Generation, and Verification

      By tightly coupling OP-TEE with on-chip cryptographic accelerators, the solution enables high-assurance execution environments suitable for security-sensitive edge deployments.

      As a key milestone, the implementation achieved validation through the NIST Cryptographic Algorithm Validation Program (CAVP), demonstrating compliance with established federal cryptographic standards.

      This work highlights MLE’s capability to deliver secure, hardware-integrated trusted execution environments that support the growing complexity of edge computing systems.

      Looking for Hardware-Accelerated OP-TEE Solution for Data Security?

      High-Precision Synchronization for 77GHz Radar Networks via White Rabbit Technology

      High-Precision Synchronization for 77GHz Radar Networks via White Rabbit

      As autonomous driving and advanced driver-assistance systems (ADAS) evolve, modern vehicles require unprecedented levels of environmental awareness to enhance and ensure driving safety. According to the article “High-Precision Synchronization for 77-GHz Radar Networks via White Rabbit” in Journal of IEEE Transactions on Radar Systems, this demand is driving the deployment of distributed 77GHz automotive radar networks, which rely on coherent data processing to create a precise, real-time map of the vehicle’s surroundings. To achieve this, the distributed sensors must be synchronized with sub-nanosecond accuracy. Existing wired synchronization methods, however, incur high cabling costs and present challenges in complexity and scalability.

      White Rabbit (WR) Technology, an Ethernet-based technology providing sub-nanosecond accuracy, enables simultaneous synchronization and data transfer over a standard Ethernet link, thus eliminating the need for a dedicated custom clock distribution network. To implement this technology in FPGAs, it typically requires external voltage-controlled crystal oscillators (VCXOs) for measurement and adjustment. However, such components are often missing on commercially off-the-shelf (COTS) development boards. This forces interested developers to invest inexpensive, specialized hardware just to get started with White Rabbit technology.

      MLE supports White Rabbit Technology development in CERN’s White Rabbit Project and provides Dormouse White Rabbit FPGA Mezzanine Card (FMC) to complement (or replace) expensive VCXOs and trade-off BoM cost vs. minor loss of accuracy by using modern on-chip PLL for phase-shifting.

      The Dormouse White Rabbit FPGA FMC features tunable oscillators that are required to deploy and operate White Rabbit, an open-source FPGA-based implementation of Precision Time Protocol 2.1 (PTP v2.1), and provides capabilities to generate LF and RF reference clocks derived from a White Rabbit network. For these tasks a high performance OCXO (DOT050V), two programmable and tunable oscillators (SiT3521, Si549) and a flexible PLL (HMC7044) are available for use on the card.

      With the Dormouse White Rabbit FPGA FMC, White Rabbit implementation can achieve < 1 ns accuracy and < 100 ps precision of the PTP v2.1 high-accuracy profile for building a time and frequency distributed 77GHz automotive radar networks.

      MLE Dormouse FMC_Front

      Features of Dormouse White Rabbit FMC:

      The MLE Dormouse White Rabbit FMC is now available on our partner Trenz’s online shop.

      Implementing Sub-Nanosecond Synchronization for a Distributed Automotive Radar Networks?

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

      FPGA Full System Stack for AMD Versal

      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 FPGA-based systems easier for engineers without expert knowledge in FPGA design.

      Trenz Electronic and Missing Link Electronics (MLE), both Premier Members of the AMD Embedded Partner Program, today announce the launch of their first set of “FPGA Full System Stacks (FFSS)” for AMD Versal™

      These FPGA Full System Stacks deliver pre-validated, user-customizable building blocks that integrate FPGA hardware along with acceleration subsystems combining different Intellectual Property (IP) cores, which in concert solve the most common performance bottlenecks in Networking, Storage, and Signal Processing.

      Besides the concept of pre-validated, user-customizable building blocks, FPGA Full System Stacks also come with a cost-optimized licensing scheme

      While the typical license costs for such IP Cores can run up to $100k (or more, depending on what accelerators you may need), the cost of an FFSS is very compatible with most low-unit-volume FPGA applications, sometimes around the same cost as the hardware itself.

      Bridging the Gap in FPGA Accessibility

      As Field-Programmable Gate Arrays (FPGAs) continue to dominate sectors such as Automotive, Aerospace, Industrial, and Telecommunications due to their unmatched flexibility and energy efficiency, the barrier to entry remains high. However, the difficulty in programming FPGAs, in particular those System-on-Chip (SoC) FPGA with embedded CPUs, has long been considered a disadvantage that prevents FPGA from becoming a general computation solution.

      The concept of FPGA Full System Stack is designed to address this challenge. With MLE FPGA IP Cores pre-integrated and pre-validated on Trenz System-on-Modules (SoMs) and Carrierboards, the solution allows developers to bypass the “ground-up” hardware-software integration phase. Instead, users can immediately focus on application-layer development, significantly increasing productivity while shortening time-to-market for new product initiatives.

      Trenz FPGA Full System Stack composition for AMD Versal

      FPGA Full System Stacks: Ready-To-Run for Modern Workloads

      The current portfolio focuses on Compute, Video, Storage and Network Acceleration, leveraging the power of AMD Versal™ AI series on the Trenz TE0950 Evalboard and on the Trenz TE0955 SoM along with the Trenz TEB0955 carrierboard. Key configurations available at launch include:

      Networking FPGA Full System Stacks for AMD Versal™:

      Trenz FPGA Full System Sack - FFSS TE0950 NPAP-25G
      FFSS-TE0950-NPAP-25G with full accelerated 25G TCP/UDP/IP
      Trenz FPGA Full System Sack - FFSS TE0950 NPAP-10G
      FFSS-TE0950-NPAP-10G with full accelerated 10G TCP/UDP/IP
      Trenz FPGA Full System Sack - FFSS TE0950 Netdev-25G
      FFSS-TE0950-Netdev-25G with 25G Linux Network Stack (Non-Accelerated)
      Trenz FPGA Full System Sack - FFSS TE0950 Netdev-10G
      FFSS-TE0950-Netdev-10G with 10G Linux Network Stack (Non-Accelerated)
      Trenz FPGA Full System Sack - FFSS TE0955 NPAP-25G
      FFSS-TE0955-NPAP-25G with full accelerated 25G TCP/UDP/IP
      Trenz FPGA Full System Sack - FFSS-TE0955-NPAP-10G
      FFSS-TE0955-NPAP-10G with full accelerated 10G TCP/UDP/IP
      Trenz FPGA Full System Sack - FFSS TE0955 Netdev-25G
      FFSS-TE0955-Netdev-25G with 25G Linux Network Stack (Non-Accelerated)
      Trenz FPGA Full System Sack - FFSS TE0955 Netdev-10G
      FFSS-TE0955-Netdev-10G with 10G Linux Network Stack (Non-Accelerated)

      Storage FPGA Full System Stacks for AMD Versal™:

      • FFSS-TE0950-NVMePL-x4 with NVMePL x4 Bandwidth NVMe data streaming
      • FFSS-TE0950-NVMePL-x1 with NVMePL x1 Bandwidth NVMe data streaming
      • FFSS-TE0950-NVMePS for data read/write onto a Linux-connected NVMe SSD 
      • FFSS-TE0955-NVMePL-x4 with NVMePL x4 Bandwidth NVMe data streaming
      • FFSS-TE0955-NVMePL-x1 with NVMePL x1 Bandwidth NVMe data streaming
      • FFSS-TE0955-NVMePS for data read/write onto a Linux-connected NVMe SSD 
      Trenz FPGA Full System Sack - FFSS TE0950 NVMePLx4 based on AMD Versal AI Edge
      FFSS-TE0950-NVMePL-x4 for Accelerated NVMe data streaming with 4 lanes in PL
      Trenz FPGA Full System Sack - FFSS TE0950 NVMePLx1 based on AMD Versal AI Edge
      FFSS-TE0955-NPAP-10G with full accelerated 10G TCP/UDP/IP
      Trenz FPGA Full System Sack - FFSS TE0950 NVMePS_v3
      FFSS-TE0955-Netdev-25G with 25G Linux Network Stack (Non-Accelerated)
      Trenz FPGA Full System Sack - FFSS TE0955 NVMePLx4 based on AMD Versal AI Edge
      FFSS-TE0950-NVMePL-x4 for Accelerated NVMe data streaming with 4 lanes in PL
      Trenz FPGA Full System Sack - FFSS TE0955 NVMePLx1 based on AMD Versal AI Edge
      FFSS-TE0955-NPAP-10G with full accelerated 10G TCP/UDP/IP
      Trenz FPGA Full System Sack - FFSS TE0955 NVMePS based on AMD Versal AI Edge
      FFSS-TE0955-Netdev-25G with 25G Linux Network Stack (Non-Accelerated)

      FPGA Full System Stacks based on Trenz hardware are now available on the Trenz onlineshop: https://www.trenz-electronic.de/en/Products/Missing-Link-Electronics/

      US Patent No. 12,592,898 B2 for Tightly-Coupled, Loosely Connected Heterogeneous Packet Based Transport

      The United States Patent and Trademark Office (USPTO) has issued to Missing Link Electronics, Inc. the US Patent No. 12,592,898 B2 for “Tightly-Coupled, Loosely Connected Heterogeneous Packet Based Transport”, a technology that finds applications in automotive networking, factory automation and robotics, sensor open system architectures, and 5G Radio campus networks.

      MLE Presents “Cost-Optimizing High-Accuracy Precision Time Protocol” at Automotive Ethernet Congress 2026

      MLE Presents Cost-Optimizing High-Accuracy Precision Time Protocol at Automotive Ethernet Congress 2026

      The Automotive Ethernet Congress will be held on March 24-26, 2026 in Munich, Germany. There,  MLE will present “Cost-Optimizing High-Accuracy Precision Time Protocol.”

      ADAS with coherent, multi-static, digital RADAR benefits from automotive Ethernet but demands more precise time synchronization and clock-phase recovery.

      First we give an overview over time synchronization: NTP, GNSS, PTP, with a deep-dive into the PTP (including hardware assisted time stamping for accuracy and precision around 10 nanoseconds), down to the high-accuracy Precision Time Protocol IEEE 1588-2019 (PTP-HA) developed by CERN’s White Rabbit group for large scale physics experiments in need of < 1 ns accuracy and < 100 ps precision.

      Second we present “Light Rabbit”, a collaboration between CERN and MLE. Using modern on-chip PLL for phase-shifting we complement (or replace) expensive VCXOs and trade-off BoM cost vs. minor loss of accuracy.

      We close with experimental results for an OFDM RADAR network where Ethernet transports status, control and sensor data and distributes time (i.e. trigger), frequency and phase information to steer oscillators in the RF subsystem.

      Date: Thursday March 26, 2026

      Session 6 – TSN (starts at 10:30am CEST)

      Location: Science Congress Center Munich, Germany

      Join us at Automotive Ethernet Congress 2026 to learn more about the “Light Rabbit” solution to complement White Rabbit technology for high-accuracy time synchronization of digital radar networks!

      MLE Auto/RPS and Auto/TSN For In-Vehicle Networking Have Been Featured By The BMFTR MANNHEIM CeCaS Project For Central Car Server

      Modern Software-Defined Vehicle (SDV) architectures are pushing automotive in-vehicle networks towards more bandwidth and lower, guaranteed transport latency as cars are expected to be an integral part of a broader software and services eco-system, can be continuously updated/upgraded with new features, and achieve higher levels of autonomous driving. This challenges the current solutions (e.g. domain-centric E/E architectures) and methodologies used in the automotive industry as they are neither suitable nor sufficient to satisfy the requirements for a highly scalable tech-platform that efficiently transports and processes the high data volume of sensors used for ADAS (e.g. camera, radar, Lidar) and fulfill the demanding QoS requirements (e.g. delay, error, security).

      The CeCaS project focuses on developing central car server architectures and supercomputing platforms for next-generation vehicles. Together with project partners, MLE helped implement an in-vehicle zone-based architecture for high-bandwidth connectivity between a so-called Zone ECU and a centralized computer.

      With MLE’s Auto/TSN in-vehicle networking technology, deterministic networking at multi-Gigabit line rates was achieved by combining modern open standards such as IEEE Time-Sensitive Networking (TSN), the Internet Protocol, reliable transport layer protocols such as the Transmission Control Protocol (TCP) or the Reliable Rapid Request-Response Protocol (RRRRP) together with protocol Full Accelerators. Paired with Auto/RPS, MLE’s cost-optimized rapid SDV prototyping system for Zonal ECUs, the project was able to quickly explore and validate many assumptions, design choices, and trade-offs related to future zonal SDV architectures.

      The CeCaS Project is funded by German Federal Ministry of Education and Research (BMBF) initiative MANNHEIM and was initiated between industry and academia for the future-proven automotive technology. 

      MLE Releases Network Protocol Accelerator Platform (NPAP) Version 2.8.0

      MLE has released Version 2.8.0 of its Network Protocol Accelerator Platform (NPAP) along with new versions for Evaluation Reference Designs, including support for AMD’s cost-optimized Artix Ultrascale+ device family.

      NPAP is the TCP/UDP/IP Full Accelerator from Fraunhofer HHI which enjoys production use in FPGA applications for automotive, industrial, medical, robotics, test & measurement and wired/wireless communications.

      Licensees who are under active maintenance are getting free access to the code update. Please refer to the updated MLE NPAP datasheet TB20251111 or visit http://MLEcorp.com/NPAP for more information.