OpenFPGA: Rappid firmware app-based electronic warfare
Rappid: A modular, application-ready spectrum processing platform
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.
Discover how Mercury helped Airbus achieve the world’s first safety-certifiable, fully automatic refueling system.
In this webinar, learn how Intel, Mercury and Lynx are approaching design assurance for avionics systems and how this collaboration benefits aircraft embedded developers.
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....
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.
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)
Engineered to tackle challenging workload, our rugged servers harness parallel processing to maximize throughput, boost productivity and push boundaries of compute-heavy mission-critical applications.
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...