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.
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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
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
Learn how Mercury and Intel collaborate to scale and deploy composable data center capabilities across the fog and edge layers with high performance embedded computing (HPEC)
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,

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

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...