The paradigm for scaling rugged mission-critical processing resources at the edge is evolving rapidly. 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.
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
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
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
Addressing computing, reliability, space and security challenges found at the tactical edge
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.
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.
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.
For more than 20 years, Mercury has been working closely with NVIDIA to help solve the world’s most complex processing challenges. As a preferred partner, Mercury is bringing NVIDIA’s latest #GPU and
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....
Data center GPU coprocessing for aerospace and defense: High-performance computing has evolved into high-performance embedded edge computing.
Cloud, Fog and Edge Computing for Defense Applications.
Mercury takes the same #Intel technology that powers artificial intelligence (#AI), makes our roads safer and healthcare more accessible, and develops mission-critical solutions that operate on land,