MATLAB Coder Support Package for NVIDIA Jetson and NVIDIA DRIVE Platforms

NVIDIA GPU Support from GPU Coder
Updated 20 Mar 2024
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.
When used with GPU Coder™, you can generate and deploy optimized CUDA® applications for deep learning, embedded vision, and autonomous systems. The generated code calls optimized NVIDIA CUDA libraries and can be used for prototyping on embedded NVIDIA platforms such as Jetson and DRIVE.
With Embedded Coder, it also enables software-in-the-loop and processor-in-the-loop simulation to verify that the MATLAB algorithm behaves as expected on the real hardware.
GPU Coder supports NVIDIA Jetson platform, including the TK1, TX1, TX2, AGX Xavier, Nano, and Xavier NX Developer kits. It also supports the NVIDIA DRIVE platform.
Starting in R2021a, you can also target just the ARM cores of the Jetson board and not target the GPU cores. GPU Coder is not required when using this workflow.
You can find more information in the documentation:
If you have download or installation problems, please contact Technical Support -
MATLAB Release Compatibility
Created with R2018b
Compatible with R2018b to R2024a
Platform Compatibility
Windows macOS (Apple silicon) macOS (Intel) Linux

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