# Deployment to eIQ Neutron NPU

**eIQ AI Toolkit** simplifies deploying machine learning models to NXP devices by providing tools to convert the models
into formats optimized for NPU-based inference acceleration. Most require **quantized TF Lite** models as an input for
conversion. For platforms such as **i.MX 8M Plus**, a standard quantized TF Lite model is sufficient.

Devices equipped with a Neutron NPU require an additional conversion step. The output remains a quantized TF Lite model
but is adapted specifically for Neutron execution.

To complete the conversion process, refer to these guides:

1. [Deploying machine learning models to devices](./pytorch.ipynb)– Learn the workflow for converting models to
   quantized TF Lite.
2. [Converting model for Neutron NPU](../convQuant/neutron.ipynb) – Perform the final conversion for Neutron-based
   platforms.