RADX Technologies has announced its Catalyst-GPU Family of COTS, low-cost, PXIe/CPCIe GPU Modules. Catalyst-GPUs are the first COTS products that bring the cost-effective, easy-to-program, high-performance compute acceleration and advanced graphics capabilities of NVIDIA Quadro T600 and T1000 GPUs to the PXIe/CPCIe platform—the fastest growing platform for Modular Test & Measurement (T&M) and Electronic Warfare (EW) applications.
With comprehensive support for MATLAB, Python, and C/C++, combined with support for virtually all popular computing frameworks, Catalyst-GPUs are easy-to-program for both Windows and Linux operating environments. Catalyst-GPUs feature multi-teraflop (TFLOP) level performance, which is ideal for accelerating signal processing applications. In addition, Catalyst-GPUs are ideal for machine learning (ML) and deep learning (DL) applications, which are becoming increasingly important for artificial intelligence (AI)-based signal classification and geolocation, semiconductor and PCB testing, failure prediction, failure analysis, and other important missions.