NXP Empowers Edge AI with eIQ® Software Development Environment
NXP Semiconductors is making edge AI development faster, more flexible, and more accessible with its eIQ® AI Software Development Environment—enabling machine learning at scale on NXP’s EdgeVerse™ microcontrollers and microprocessors, including the i.MX (interface Mixed-signal) RT crossover MCUs and i.MX family application processors.
The eIQ environment brings together a rich collection of tools, libraries, and pre-built models to support developers at all stages of their AI journey—from proof of concept to production deployment.
Key Features of the eIQ® AI Software Suite
eIQ Toolkit: A machine learning workflow tool designed to simplify building and optimizing AI/ML applications on NXP products. It supports both "bring your own data" (BYOD) and "bring your own model" (BYOM) flows via a user-friendly graphical interface or command-line tools.
Inference Engines & Compilers: Optimized engines, neural network compilers, and libraries for efficient edge deployment.
Integration with MCUXpresso SDK and Yocto: Seamless development workflows for system-level applications.
Open-Source and Proprietary Tech: Combining industry-standard frameworks with NXP’s own advanced optimizations.
Extending the Toolkit: Advanced Capabilities
eIQ NVIDIA TAO Toolkit Integration: Access pre-trained vision AI models tailored for NXP EdgeVerse processors.
eIQ Model Watermarking: Protect intellectual property with technology to detect unauthorized copying.
eIQ Time Series Studio: An end-to-end tool for creating edge AI models specifically for time series data.
eIQ GenAI Flow: Accelerate generative AI projects at the edge with tools to test LLMs and fine-tune models on private data sources using Retrieval Augmented Generation (RAG).
Enabling Rapid Development and Deployment
NXP supports developers with a robust ecosystem of resources:
Application Code Hub (ACH): Find code examples, demos, and reusable software packs.
eIQ Model Zoo: Deploy pre-trained models for a wide variety of tasks on supported hardware.
AI and Machine Learning Academy: On-demand training modules for developers of all skill levels.
eIQ Auto DL Toolkit: Designed for automotive-grade deep learning applications while meeting industry standards.
Vision Pipelines: Build advanced vision applications with NXP’s i.MX 95 MPU or deploy optimized vision AI on i.MX RT MCUs.
Industry Use Cases and Thought Leadership
From handwritten digit recognition on i.MX RT devices to deploying AI-enabled vision solutions on Android with NPU acceleration, NXP’s documentation, white papers, and training materials guide engineers through real-world applications.
Edge AI is no longer experimental—it’s mainstream. With the eIQ® AI Software Development Environment, NXP is democratizing machine learning at the edge, empowering developers to innovate across industrial, automotive, medical, and consumer markets.
👉 Learn more and get started here: NXP eIQ AI Software Development Environment
