MATLAB Coder Support Package for NVIDIA Jetson and NVIDIA DRIVE Platforms

NVIDIA hardware target support from MATLAB Coder and GPU Coder

MATLAB Coder Support Package for NVIDIA® Jetson® and NVIDIA DRIVE™ Platforms automates the deployment of MATLAB algorithms and Simulink® models on embedded NVIDIA platforms by building and deploying the generated code on the target hardware board. It enables you to remotely communicate with the NVIDIA target and control the peripheral devices for prototyping and testing purposes.

When used with GPU Coder, you can generate and deploy optimized CUDA® applications for deep learning, embedded vision, and radar and signal processing algorithms. For high performance, the generated code can call NVIDIA® TensorRT®.

When used with MATLAB Coder, you can generate and deploy optimized C/C++ applications for deep learning, embedded vision, and radar and signal processing algorithms onto the ARM Cortex-A cores of the Jetson. GPU Coder is not required when using this workflow.

When used with Embedded Coder, it enables software-in-the-loop and processor-in-the-loop simulation to verify that the MATLAB algorithm behaves as expected on the real hardware.

Hardware support for the NVIDIA Jetson platform includes the Thor, Orin, Xavier, and Nano Developer kits. It also supports the NVIDIA DRIVE and Clara platforms. See the full listing in the documentation: https://www.mathworks.com/help/coder/nvidia/ug/install-and-setup-prerequisites.html

More information is available in the documentation: https://www.mathworks.com/help/coder/nvidia.html

For download and installation problems, please contact Technical Support: https://www.mathworks.com/support/contact_us.html