Today’s autonomous and artificial intelligence (AI) military systems process an ever-growing amount of sensor data. To handle this extreme workload, system architects must design boards using the fastest FPGA [field-programmable gate array] devices and Intel multicore processors. These devices cannot provide peak performance without massive amounts of high-speed double-data rate fourth generation (DDR4) memory for resident data and real-time execution
This white paper explains why OpenRFM can change the game in building modular, interoperable and affordable...
Mercury Systems is partnering with Intel to develop high-performance, ruggedized, and secure edge computing solutions that enable mission-critical applications in the harshest environments.
This paper first discusses advanced capabilities that enhance LCD technology and then reviews business factors to consider when selecting or specifying display systems.
Discover how technologies developed by Mercury Systems and NVIDIA scale the best AI-enabling data center processing capabilities to the edge for real-time decision-making.
Military Embedded Systems interviews Rodger Hosking and Neal Austin from Mercury Systems about the Pentek acquisition and how it impacts Mercury's SOSA portfolio.
Handling AI, SIGINT or compute-heavy workloads that require moving data at real-time speeds? Learn about our all-new RES XR7 rugged rack servers with Intel’s latest 3rd gen Xeon Scalable processors.
Eliminate bottlenecks, process, store and move huge volumes of sensor data at 5G speeds and accelerate time to insight for all of your compute-hungry applications with RES XR7 rugged rack servers.
Artificial Intelligence (AI) is rapidly transforming the defense industry by broadening the scope of machine applications and leveling the playing field for nation states looking to gain power.
Mercury extends EA jammer training system technology to a new platform in fewer than four months
In this webinar, you will learn how Mercury Systems, NVIDIA and SigmaX are securing machine learning for multi-domain operations with agile edge servers and cloud-native open software stacks.
PCIe Gen 4 technologies increase application efficiency by eliminating bottlenecks and increasing throughput for multi-domain, compute-intensive applications at the edge.
By utilizing the NVIDIA EGX edge AI platform for edge computing, coupled with open software stacks, machine learning (ML) data can be deployed and accelerated to retain operational advantage....
The inability to field the latest AI technologies at the pace of one’s adversaries often means the loss of tactical or operational advantages. Learn how Mercury’s open and modular design approach...
Our mission-critical displays are engineered to deliver unparalleled performance across multiple domains, in the most extreme environments. Hear how Mercury uses LG technology to tackle challenges...
Data center GPU coprocessing for aerospace and defense: High-performance computing has evolved into high-performance embedded edge computing.
Learn how Mercury delivers highly specialized AMLCDs to address the mission-critical needs of military vetronics by leveraging early development of extreme high-resolution from the medical industry.
Mercury, contracted by Airbus D&S is supplying processing subsystems as part of the EGNOS common computing platform.
AI processing capability remote from the data center is required for smarter and more autonomous aerospace and defense missions. See how Mercury Systems and Intel are working together to make edge pro
Mercury's rugged edge servers accelerate compute-heavy mission-critical applications like artificial intelligence (AI), signals intelligence (SIGINT), virtualization and big data analytics.
Learn what big data is and why the military relies on big data data pipelines to drive artificial intelligence and ensure mission success in the multi-domain battlefield.
This white paper explains why OpenRFM can change the game in building modular, interoperable and affordable solutions within EW, EA and SIGINT.