Embedded Technologies

Support for the CUDA® framework provides the industry’s most advanced and efficient GPGPU framework, opening new doors to the embedded military environment for highly efficient, near real-time, processing of data on platforms.

The NVIDIA® CUDA® framework was first introduced in 2007 but has evolved from a simple proprietary GPGPU engine for NVIDIA products to a robust framework offering acceleration of general parallel processing AI, traditional machine-learning, deep learning, and more. CUDA has taken the industry by storm with NVIDIA focusing heavily on support and consistent updates to the framework while also investing in unifying it to work across all NVIDIA GPUs. This allows for flexible upgrade and deployment with little transitional overhead.

CUDA-X AI™ and NVIDIA’s overall investment in AI also allows the embedded military industry to take advantage of the ability to run highly efficient inferencing on trained neural network models, leading to more accurate image enhancement and classification. Deep learning integration with NVIDIA based Condor GPU products can also be utilized to prolong legacy applications with technologies like NVIDIA NGX and DLSS being utilized to make the once dated camera sensors’ input feeds more usable in the modern era without needing to update underlying hardware/cabling.