GPU/Graphics/Video Cards

GPU co-processor cards can harness to the enormous floating point processing power of the GPU device for applications requiring massive parallel computing capability, such as algorithmic vector processing and deep learning frameworks for AI/ML applications. Our GPU co-processing engines leverage the latest NVIDIA technologies supporting CUDA software frameworks and include integrated Tensor Cores for machine learning applications. These cards are critical components of our high-performance embedded computing (HPEC) ecosystem that delivers data center capability at the tactical edge.

Curtiss-Wright graphics controllers and video cards provide human-machine interfaces where graphics and sensor imagery must be combined. These cards support functions from simple graphics output to multi-head, high-performance 3D rendering. They are ideal for use in the most advanced deployed applications, such as 3D terrain mapping, target acquisition/tracking, and helmet-mounted displays.