NVIDIA Jetson for the Military and Aerospace Industries
Deploy Mil-grade, low-SWaP computing solutions at the edge of the battlefield with NVIDIA’s industrial Jetson technology in Curtiss-Wright hyper-rugged, scalable mission computers.
Curtiss-Wright Enhances MIL-grade Rugged SFF Computer with Industrial-Grade NVIDIA Jetson AGX Xavier for AI/ML/Edge Computing
Parvus DuraCOR AGX-Xavier delivers high-performance NVIDIA GPU-accelerated processing and deep learning engines in ultra-rugged SFF mission computers designed for extreme aerospace and defense applications.
Curtiss-Wright to Provide Avionics Computer for Navy MQ-4C Unmanned Patrol Plane in $7.5 Million Contract
The Curtiss-Wright AMMS has a high-speed embedded computing suite for high -performance processing, and a modular, scalable open-systems architecture.
Modernizing Legacy Aircraft Mission Computing with Open Standards
Curtiss-Wright Defense Solutions is the world's leading supplier of rugged commercial-off-the-shelf (COTS) computer, networking, and data storage solutions for defense and aerospace platforms. Our flexible subsystem designs can support legacy data buses, like MIL-STD-1553 and ARINC 429, making it fast, simple, and cost-effective to replace aging aircraft systems with modern high-performance equipment.
Artificial Intelligence and Machine Learning for Unmanned Vehicles
Military experts are developing new enabling technologies to help unmanned aircraft, ground vehicles, submarines, and surface vessels swarm and make decisions without human intervention.
Curtiss-Wright Flight Test Equipment Utilized During NASA's Space Launch System (SLS) Core Stage Test
Curtiss-Wright data acquisition units support SLS test data collection goal
How Modularity Can Shorten System Development and Decrease Costs
Learn how modular systems can help meet cost, schedule, quality, and technical requirements, while reducing risk and eliminating traditional NRE fees.
GPU and FPGA go Head-to-Head
Today’s embedded-system designers have a great variety of processor types to select from, with FPGAs and GPUs adding their own various advantages and disadvantages for consideration in contrast to the more familiar CPUs.