Delivering supercomputing processing performance
HPEC Systems have a proven track record to deliver supercomputing processing performance in rugged, compact deployable system architectures optimized for harsh military environments. These systems consist of a large number of distributed processors, I/O, and software stacks connected by a low latency system fabric.
Reduce cost, risk, and time to market with COTS hardware
Our broad selection of open-architecture, commercial off-the-shelf (COTS) rugged embedded computing solutions process data in real-time to support mission-critical functions. Field-proven, highly engineered, and manufactured to stringent quality standards, Curtiss-Wright’s COTS boards leverage our extensive experience and expertise to reduce your program cost, development time, and overall risk.
Powerful parallel GPGPU co-processing is the cornerstone of machine learning
For applications requiring massive parallel compute capability, such as deep learning frameworks for AI applications, our highly engineered GPGPU co-processing engines provide a field-proven hardware foundation. Curtiss-Wright GPGPU co-processing engines leverage the latest NVIDIA Tensor Cores (for machine learning) technology and are a critical component of the high-performance embedded computing (HPEC) ecosystem that delivers data center capability at the tactical edge.