Machine Learning Solutions from Microchip Technology


The power of machine learning (ML) is only as good as the data inputs and the data training regiment. And, it can be extremely difficult to get a ML training model built from scratch. In this article, explore the wide range of premium machine learning models, products, systems, and solutions available from Microchip.

Explore the cutting-edge world of Microchip Technology Machine Learning, where you are empowered to create and implement advanced models effortlessly. Whether you're venturing into the realm of Microcontroller Units (MCUs) and Microprocessor Units (MPUs) or seeking specialized tools for image classification and video applications, this comprehensive suite of solutions has you covered.

Build Your Own Model

MCU/MPU Development with MPLAB® Machine Learning Development suite

Embark on your machine learning journey with Microchip's MPLAB® Machine Learning Development suite, seamlessly integrated as a plugin into MPLAB® X IDE. This all-encompassing solution streamlines the entire process—from data collection to model testing—culminating in a tailored knowledge pack for Microchip MCUs/MPUs.



EV18H79A SAMD21 Machine Learning Evaluation Kit with TDK 6-axis MEMS

These meticulously designed Machine Learning Evaluation toolkits specifically cater to inertial measurement unit (IMU) applications, focusing on vibration and sensor data analysis. Explore the following exceptional platforms: 

  • Features the SAMD21G18 Arm® Cortex®-M0+ based 32-bit MCU.
  • Equipped with an on-board debugger (nEDBG), ATECC608A CryptoAuthentication™ secure element IC, and ATWINC1510 Wi-Fi® network controller.


EV45Y33A SAMD21 Machine Learning Evaluation Kit with BOSCH IMU

  • Boasts the SAMD21G18 Arm Cortex-M0+ based 32-bit MCU.
  • Includes an on-board debugger (nEDBG), ATECC608A CryptoAuthentication secure element IC, and ATWINC1510 Wi-Fi network controller.

Curiosity Nano Evaluation Kit

Bring Your Own Model

If you have a pre-trained DNN model you can use either Microchip MPU or FPGA based on your use case.

For Audio/Image/Lower Frame Rate Video ML Applications (MPUs):

  • Convert TensorFlow models to TensorFlow Lite models using standard APIs
  • Utilize MPLAB Harmony V3 to integrate the ML run-time engine (TensorFlow Lite models) and peripherals seamlessly.

Evaluation tool kit

For Low Power and High Frame Rate Video Applications (FPGAs):

  • Microchip FPGAs offer a niche solution for demanding applications.
  • Leverage the VectorBlox™ Accelerator SDK for easy conversion of high-level Deep Neural Networks to TensorFlow Lite, even without prior FPGA design experience.

Evaluation tool kit

Accelerate your machine learning endeavors with Microchip Technology. Experience the power and ease-of-use of the evaluation kits and unlock the potential of intelligent computing.

Reference designs for MCU/MPUs:

SAMD21 Fan State Condition Monitoring

AVR DA Fan State Condition Monitoring

SAMD21 ML Kit Gesture Recognition

Reference designs for FPGAs:

Tutorial on using VectorBlox-SDK

Additional Resources:

ML Plugin User's Guide

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