Catalyst-GPU is a line of NVIDIA-based PXIe/CPCIe GPU modules designed for cost-effective compute acceleration and advanced graphics in signal processing and ML/DL AI applications. The Catalyst-GPU leverages the powerful NVIDIA Quadro T600 and T1000 GPUs, offering compute capabilities previously unavailable on PXIe/CPCIe platforms. With multi-teraflop performance, it enhances the processing of complex algorithms in real-time data analysis directly within test systems.
The GPU's integration facilitates exceptional performance improvements for applications like signal classification, geolocation, and sophisticated semiconductor and PCB testing. Catalyst-GPU supports popular programming frameworks, including MATLAB, Python, and C/C++, offering ease-of-use across Windows and Linux platforms.
Additionally, the Catalyst-GPU's comprehensive support for arbitrary length FFT and DSP algorithms enhances its suitability for signal detection and classification tasks. It's available with dual-slot configurations, providing flexibility and high adaptability in various chassis environments, ensuring extensive applicability to a wide range of modern testing and measurement challenges.
