Engineered to tackle challenging workload anywhere, our rugged servers harness parallel processing to maximize throughput, boost productivity and push boundaries of compute-heavy mission-critical applications.

Register now for complete access to all Resource Hub content!

Let's Talk. Contact Sales!
Recommended

In this webinar, learn how Intel, Mercury and Lynx are approaching design assurance for avionics systems and how this collaboration benefits aircraft embedded developers.
Learn how Mercury and Intel collaborate to scale and deploy composable data center capabilities across the fog and edge layers with high performance embedded edge computing (HPEEC)
This paper details the evaluation of Intel and ARM to determine who provides the greatest processing power, enough to deliver real time response and implement AI and ML; yet meet safety certification

Discover how mission-critical solutions are evolving to manage the complexities introduced by high definition graphics and AI application demands to aerospace and defense applications.

Mercury Systems’ award-winning CIOE-1390 COM Express module addresses the demand for onboard avionics processing. The device, recently lauded by the Military & Aerospace Electronics Innovators...
This paper investigates both the large area display architecture with available options to solve redundancy, as well as, beam steering techniques to limit canopy reflections in bubble canopy cockpits.

Data center GPU coprocessing for aerospace and defense: High-performance computing has evolved into high-performance embedded edge computing. The post Taking the Data Center to the Edge with...

Discover how safety-certifiable computing is evolving to meet the application requirements of next generation platforms. Dr. Amela Wilson, senior vice president and general manager of Mission...
Many of our embedded sensor processing solutions support built-in MOTS+ for extreme ruggedness and BuiltSECURE nation-state level systems security engineering.
Our rugged packaging and effective cooling technologies are OpenVPX-compliant, SOSA-aligned building blocks designed to reduce your processing subsystems pre-integration risk, cost and schedule.

Devon Yablonski, Principal Product Manager, Sensor Processing talks GPU-powered AI at NVIDIA GTC - November, 2019
Maximizing FPGA processing and channel density in SWaP-constrained EW applications through accurate thermal modeling.
How the most innovative embedded cooling technologies compare, Embedding modern, powerful processors into rugged OpenVPX processing systems requires efficient cooling for reliable, full throttle, unre
How to affordably decrease safety critical processing subsystem development time and program risk using DO-178 / DO-254 certifiable off-the-shelf building blocks.
This white paper describes AI and cognitive computing (CC) and introduces the underlying largely commercially developer IP that enables them.
Microwave and digital open-architecture transceivers in 3U and 6U form factors plus high-performance rackmount converters up to 40HGz with a 2GHz IBW

Uncompromised data center processing capability deployable anywhere Evolving compute-intensive AI, SIGINT, autonomous vehicle, Electronic Warfare (EW), radar and sensor fusion applications require...
Our expertise and experience in Design Assurance Level (DAL) safety-certifiable solutions has been built on successful execution on dozens of programs over three decades.
Comparing Intel Xeon server-class processors for Space Time Adaptive Processing (STAP) applications.
Commercial digital convergence has created converged media, information systems, smartphones and autonomous vehicles. Digital convergence now has a proven roadmap behind it and is enabling...