Micro NPU

R2026b
Work with deep learning network and Qualcomm® Hexagon® eNPU

The Embedded Coder® Support Package for Qualcomm Hexagon Processors provides Simulink® block and MATLAB® System object™ to predict eNPU's response using eAI network (compiled eAI model) and verify the accuracy and performance of eNPU before deploying to the target.

Functions

hexagon.ENPUInterface to predict responses of eNPU using a compiled eAI model (Since R2025a)
hexagon.ENPU.getEAIPropertiesRead values for properties defined in eAI network file (Since R2025a)

Blocks

eNPU Predict block with an input port and output port.eNPU PredictPredict responses of eNPU using compiled eAI model (Since R2025a)

Model Settings

Model Settings to Deploy Code for eNPU Module of Qualcomm Hexagon Processor

Featured Examples

Deploy Smart Speaker Model on Qualcomm Hexagon eNPU Using LPAI SDK Add-on

Deploy Smart Speaker Model on Qualcomm Hexagon eNPU Using LPAI SDK Add-on

Deploy a Simulink model designed as smart speaker system on Qualcomm Hexagon eNPU.

Convert MATLAB Deep Learning Networks to eAI Model Using Qualcomm LPAI SDK

Convert MATLAB Deep Learning Networks to eAI Model Using Qualcomm LPAI SDK

Convert deep learning networks developed using MATLAB built-in layers into eAI models for deployment to eNPU using Qualcomm LPAI SDK.