Which is better for machine-learning applications: 2nd Generation Intel Xeon Scalable Processors or Nvidia’s T4? A head-to-head comparison helps explain whether a CPU or a GPU is best for your high-performance ML solution.

New GPGPU modules expand Curtiss-Wright’s family of high-performance embedded computing (HPEC) processors for artificial intelligence (AI) applications.

The suite of open architecture industry and U.S. Army standards included in CMOSS enables the reduction of C4ISR system SWaP.

Newer on-vehicle integrated networks will be composed of heterogeneous networks in the form of software and equipment from multiple commercial vendors.

The use of artificial intelligence (AI) based machine learning technologies in autonomous vehicles is on the rise.

Featured products will include ultra-small form factor mission computers and network switches, rugged high capacity storage solutions - such as the Data Transport System, and size, weight, and power (SWaP)-optimized embedded avionics systems - such as the ultra-lightweight Fortress Crash Protected Recorder.

The demo features PacStar’s IQ-Core Software network management software running on Curtiss-Wright rugged mission computers.

Curtiss-Wright, in collaboration with PacStar, will present a paper on “Managing Next Generation Open Standard Vehicle Electronics Architectures”.