GPU Coder™ generates optimized CUDA^® code from MATLAB^® code and Simulink^® models. The generated code includes CUDA kernels for parallelizable parts of your deep learning, embedded vision, and signal processing algorithms. For high performance, the generated code calls optimized NVIDIA^® CUDA libraries, including TensorRT™, cuDNN, cuFFT, cuSolver, and cuBLAS. You can integrate the code into your project as source code, static libraries, or dynamic libraries. You can also compile the code for desktops, servers, and GPUs embedded on NVIDIA Jetson^® , NVIDIA DRIVE^®, and other platforms.