As the technology world advances, so, too, does the pace of change. "If you can collect, share, and flow more date to more users, commanders can then make better decisions. It's a substantial advantage."
Handling AI, SIGINT or compute-heavy workloads that require moving data at real-time speeds? Learn about ou...
Mercury Systems' Rodger Hosking talks to Electronic Design's Bill Wong about the latest SOSA initiative and the company's 5560 Versal HBM ACAP Coprocessor SOSA-compliant board.
Learn how a new data center-class, all-flash network-attached storage system can help solve your big data, mission critical AI and machine learning applications challenges in rugged environments.
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.
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...
Optimized to solve the most advanced radar, cognitive EW and AI challenges, learn how Mercury ’s ACAP-engineer-to-engineer designer’s journey is intended to assist other development teams.
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.
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
Online panel discussions regarding the future of radar in the defense community.
Learn all about how Mercury helped the U.S. Coast Guard perform their maritime duties with solutions that processed vast amounts of sensor-generated data to deliver real-time mission-critical insights
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.
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.
Take advantage of GPU data processing and AI/ML capabilities at the tactical edge by managing the challenges of extreme environment operation, SWaP-constrained platforms, and mitigating security risks
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.
Cloud-scalable cross-domain solution methodologies, challenges and implementations for rapid, secure and correct information transfer between multiple security domains.
PCIe Gen 4 technologies increase application efficiency by eliminating bottlenecks and increasing throughput for multi-domain, compute-intensive applications at the edge.
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.
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.