eIQ™ ML Software Development Environment

The NXP® eIQ™ machine learning software development environment enables the use of ML algorithms on NXP MCUs, i.MX RT crossover MCUs, and i.MX family SoCs. eIQ software includes inference engines, neural network compilers and optimized libraries. This software leverages open-source technologies and is fully integrated into our MCUXpresso SDK and Yocto development environments, allowing you to develop complete system-level applications with ease.

Machine Learning Software Support

TensorFlow™ Lite Micro New

  • Faster and smaller inference engine than the traditional TensorFlow Lite
  • Optimized for running machine learning models i.MX RT crossover MCUs

TensorFlow™ Lite

  • Flexible inference engine for embedded applications
  • Targeting Arm® Cortex®-A, and Cortex-M processor cores and Verisilicon GPUs and NPUs

Arm® NN

  • Inference engine framework for i.MX and Layerscape® processors
  • Leveraging the Arm Compute Library for optimized NN layer support

CMSIS-NN

  • Kernels to create a static, performance- and memory-optimized inference engine for Cortex-M processor cores

Glow

  • Neural Network compiler targeted at i.MX RT Crossover MCUs
  • NXP optimized library integration to deliver high-performance, memory-efficient inferencing

Security Software for Machine Learning

  • Software security modules to add security measures for protecting machine learning applications
  • Protect against model cloning, model private data extraction invasion, and adversarial attacks

Block Diagram