Many of our embedded sensor processing solutions support built-in MOTS+ for extreme ruggedness and BuiltSECURE™ nation-state level systems security engineering.
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Infographic: Rugged Edge Servers
Addressing computing, reliability, space and security challenges found at the tactical edge
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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.
White Paper: Cloud-Scalable Cross-Domain Solutions for an Evolving Battlefield
Cloud-scalable cross-domain solution methodologies, challenges and implementations for rapid, secure and correct information transfer between multiple security domains.
Infographic: Embedded Processing Subsystems
Mercury subsystems solve big data processing problems for platforms operating at the tactical edge. Our system design and integration experts deliver solutions that meet all your application needs
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.
2:26For 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
Article: Three Ways Mercury and SigmaX are Securing Machine Learning at the Edge with NVIDIA EGX
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Taking the Data Center to the Edge with High-Performance Embedded Edge Computing
Data center GPU coprocessing for aerospace and defense: High-performance computing has evolved into high-performance embedded edge computing.
2:39Video: Learn how Mercury and Intel are pushing edge processing to the edge of possibility!
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,
15:33Strengthening Cybersecurity at the Edge: Intel and Mercury talk multilayered security
Taking secure computing to the tactical edge requires a built-in multilayered security approach from system startup to system availability. Listen in as Mercury and Intel discuss their collaboration
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...
For the modern battlefield with hypersonic weapons, “real-time” answers enabled by 5G are critical. Learn the promises and pitfalls of 5G and how it can be made secure and reliable.
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.
Special Purpose Appliances Fuel Singularity
Learn about building systems with GPUs and FPGAs including challenges, use cases, when to choose one over the other, and why they are crucial for Big Data Analytics and Machine Learning
Learn about the history of VME and how Modular Open System Architecture (MOSA) compliant systems with robust COTS modules are scalable, extensible, available and serviceable for military platforms.