Mercury extends EA jammer training system technology to a new platform in fewer than four months
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Disaggregating processing is now enabling low-latency, network-attached everything at the edge with high-speed Ethernet connectivity, from GPU servers to NVMe-over-fabric storage devices.
Delivering RF signal processing solutions to the edge with MOSA
Today's pace of technology development means the traditional approach of custom-designed modules and subsystems is too slow, but Modular Open System Architecture (MOSA) approaches can deliver on...
Webinar: Using NVIDIA-Based Distributed Processing to Speed Mission-Critical AI at the Edge
For the first time in the market, there is an optimized network-attached rugged distributed GPU processing system purpose-built for challenging AI edge workloads. Join NVIDIA & Mercury to learn more.
3:46Vodcast: Enabling the Army to get higher performance and SWaP optimization in a smaller footprint
Live from the International Armored Vehicle Show in Austin, Texas, discover how Mercury is enabling the #army to get higher performance and #SWaP optimization in a smaller footprint when 3U VPX is not
Optimized networked-attached GPU distributed processing architecture delivers NVIDIA A100 GPU parallel computing resources over dual 100 Gbit Ethernet network connections without requiring an x86 host
Mercury Systems and VAST Federal work closely to deliver a rugged data center-class all-Flash network-attached storage (NAS) system for edge-based data capture and real-time AI application use.
Whitepaper: A Next Generation Business Model Bridging The Gap In Support Of The Defense Industry - Whitepaper
Enterprises supporting the DoD can leverage commercial investment, open systems architectures and internal R&D to speed technology innovation and reduce overall sustainment and investment cost.
Whitepaper: Meeting Today's Defense Challenges - Evolving our Next Generation Business Model
Technology is evolving faster than ever. Mercury's business model leverages open standards, commercial technology and R&D investment to drive innovation at a lower cost.
Our servers are designed from the ground up for C5ISR and other mission-critical applications where performance, reliability and availability are crucial. View our entire rugged server offering.
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.
White Paper: Selecting Optimal Avionic and Vetronic Displays for Your Application
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.
Editorial Podcast: MES deep dive on Pentek acquisition by Mercury Systems and radar/EW market trends
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.
White Paper: Bringing Commercial Technologies to Defense in the Age of AI
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.
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.
Article: Three Ways Mercury and SigmaX are Securing Machine Learning at the Edge with NVIDIA EGX
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....
Blog: Bringing AI into the Defense Landscape
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...