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Artificial Intelligence

Empowering the intelligent edge with AI and machine learning.

Accelerating innovation with NXP’s edge AI and eIQ® toolkits.

NXP microcontrollers and applications processors with machine learning at the edge enable smart thermostats, industrial robotics and intelligent vehicles. Machine learning at the edge allows NXP processors to learn, adapt and make decisions. This allows NXP hardware to overcome cloud latency and bandwidth challenges. NXP edge AI processor portfolio and eIQ software toolkits enable faster responses, reduced power consumption, enhanced privacy and lower operating costs.

Artificial Intelligence Applications

Industrial

Devices that observe, learn and adapt in real-time can give your business better foresight and insight, informed control and new capabilities. Adding intelligence to devices can enhance performance for products across a full spectrum of commercial applications.

Consumer

ML-enabled devices such as door locks, thermostats and lights make autonomous decisions based on user preferences and real-time data for more safety, convenience and security.

Artificial Intelligence Technologies

eIQ® Neutron Neural Processing Unit (NPU)

The eIQ® Neutron NPU is a scalable ML accelerator core, optimized for power and performance, supporting various neural networks and fully integrated with NXP's microcontrollers and processors.

Embedded Vision

Enable devices that process visual data locally at the edge, enabling real-time, private and low-latency decisions.

Voice Processing

Audio and voice processing solutions that offer high-quality, reliable voice control and communication software for low-power, small-footprint applications.

Human Machine Interface

Explore NXP’s Human-Machine Interface solutions that deliver intuitive, secure and responsive user experiences for automotive, industrial and consumer applications.

Omdia Market Radar: AI Processors for the Edge

Omdia’s report highlights Edge AI trends and names NXP a leader in processing innovation.

Documentation

Responsible Edge AI Enablement

Making AI work in the real world requires looking beyond tools and technology to ensure it is safe, reliable and responsible. That’s where Responsible AI takes center stage—bringing together technology, government and business leaders to make it a reality.

White Paper

May 5, 2025

Rev 0

eIQ GenAI Flow

eIQs GenAI Flow provides building blocks like optimized large language models (LLMs) and retrieval augmented generation (RAG) to make generative AI applications accessible on edge devices.

White Paper

Oct 25, 2024

Rev 0

Intellectual Property Aspects of ML

This white paper sets out to add clarity to the legal background and challenges for the IP aspects of ML for data collection and model building.

White Paper

Jul 13, 2023

Rev 1

Machine Learning at the Edge

Our ebook 'Essentials of Edge Computing' shares insights into machine learning inference at the edge, such as uninterrupted processing, lower latency and user privacy.

Brochure

Jan 21, 2022

Rev 2

Explore Retrieval Augmented Generation (RAG) Methodology

eIQs GenAI Flow provides building blocks like optimized large language models (LLMs) and retrieval augmented generation (RAG) to make generative AI applications accessible on edge devices.

FAQs

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