The Catalyst-GPU series by RADX Technologies brings advanced graphics and computational acceleration to PXIe/CPCIe platforms, leveraging NVIDIA’s robust technology to extend capabilities within modular Test & Measurement and Electronic Warfare applications. These GPUs sport significant computational power, delivering up to 2.5 FP32 TFLOPs with NVIDIA Quadro T600 and T1000 models.
Distinguished by their ease of use, Catalyst-GPUs support MATLAB, Python, and C/C++ programming, alongside a plethora of computing frameworks, enabling efficient signal processing, machine learning, and deep learning applications. This makes them an excellent fit for signal classification and geolocation, as well as semiconductor and PCB testing.
Catalyst-GPUs’ unique capabilities lie in their ability to process large FFTs in real-time, elevating signal processing precision significantly. Their integration into PXIe systems allows users to conduct faster, more accurate data analyses right where data is acquired. With support for both Windows and Linux environments, Catalyst-GPUs are crafted for versatility and effectiveness across a wide range of technical requirements.
