MCX MCUs: Pushing the Edge of What’s Possible

NXP MCX Industrial and IoT Microcontrollers

The next era of Industrial and IoT edge computing

Combining product architecture enhancements and strategic integration enables you to accelerate product development using various MCX application domains across the scalable platform. Application domains can support key features that take your end application even closer to the edge with thoughtful integration for use cases such as wireless connectivity, motor control, graphics and machine learning

Quick links: Learn more | Applications | Software | Hardware

 

MCX Microcontrollers Portfolio

The MCX portfolio is a comprehensive selection of Arm® Cortex®-M based MCUs, offering expanded scalability with breakthrough product capabilities, simplified system design and a developer-focused experience:

  • expanded scalability for memory and package options 
  • a simplified system design with optimal enablement and low power and intelligent peripherals for the secure connected edge 
  • a developer-focused experience through the widely adopted MCUXpresso suite of software and tools

MCX A Series

MCX A Series - All-purpose microcontrollers for a wide range of applications

The MCX A Series are all-purpose microcontrollers that address a wide range of applications with scalable device options, low power and intelligent peripherals. The MCX A series devices cover the widest range of applications and are a foundation for intelligent edge applications. They offer an optimized and cost-effective balance of performance and autonomous peripherals. The first families to launch within the MCX A series are the MCX A15x family and the MCX A14x family.

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NXP MCX A Series MCU - product sample

MCX N Series

MCX N94x and N54x - MCUs with Dual Core Arm® Cortex®-M33, EdgeLock® Secure Subsystem and Neural Processing Unit

The MCX N94x and MCX N54x are based on dual high-performance Arm® Cortex®-M33 cores running up to 150 MHz, with 2MB of Flash with optional full ECC RAM, a DSP co-processor and an integrated proprietary Neural Processing Unit (NPU). The integrated NPU delivers up to 30x faster machine learning (ML) throughput compared to a CPU core alone enabling it to spend less time awake and reducing overall power consumption.

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NXP MCX N Series MCU - product sample

MCX W Series

MCX W Series - Adding Rich Connectivity to NXP's MCX MCU portfolio

The MCX W series are secure, wireless MCUs designed to enable more compact, scalable and innovative designs for the next generation of smart and secure connected devices. The MCX W series, based on the Arm® Cortex®-M33, offers a unified range of pin-compatible multiprotocol wireless MCUs for Matter, Thread, Bluetooth Low Energy and Zigbee.

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NXP MCX W Series MCU - product sample

MCX L Series

  • CM33 below 50 MHz
  • Optimized for always-on, battery-operated devices
  • Lowest active power and leakage
  • Essential security

Coming soon

NXP MCX Series Additional (LC)

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Learn more about the MCX Portfolio

Building on the strength of more than 20 years of industry-leading Kinetis and LPC portfolios, the MCX portfolio debuts a new generation of scalable, secure and developer-focused microcontrollers. The Arm® Cortex®-M based MCX portfolio is purpose-built on a common foundation of core technologies that support vast industrial and IoT use cases. These 32-bit, flash-based microcontrollers provide expanded product capabilities with memory scalability and a broad package offering. A simplified system design offers optimal enablement and intelligent peripherals for the secure connected edge including: machine learning, wireless, voice, motor control, analog and more. The portfolio also features the first instantiation of NXP’s new, specialized eIQ® Neutron neural processing unit (NPU) for accelerating inference at the edge, delivering up to 30x faster machine learning throughput compared to a CPU core alone.

The new MCX MCU portfolio features four new series of devices supported by NXP’s MCUXpresso Developer Experience to simplify product development.

Machine learning and run-time inference will be supported by NXP’s eIQ® ML software development environment. Developers can utilize the easy-to-use tools to train ML models targeting either the eIQ Neutron NPU or the CPU core and deploy them on the MCU.

MCX families that are built following NXP’s secure-by-design approach will offer a secure boot with an immutable root-of-trust, hardware-accelerated cryptography and, on select families, a built-in EdgeLock®Secure Enclave Core.

 

  • MCX N Neural Series is designed for secure, intelligent applications, with families that include an integrated EdgeLock® Secure Enclave Core and dedicated eIQ Neutron NPU with a high-efficiency compute architecture for real-time inference.
  • MCX A All-purpose series is optimized to provide critical functionality for a broad range of applications where cost constraints and time to market are key considerations.
  • MCX W Wireless series offers 2.4 GHz narrowband connectivity for point to point and networked communications with enablement for Zigbee, Bluetooth LE, Thread and Matter protocols.
  • MCX L Low Power series is designed for power-critical applications. With one of the industry’s lowest dynamic power consumption offerings, these devices can help extend battery life significantly compared to traditional MCUs.

The MCX portfolio is not a replacement for Kinetis and LPC portfolios. MCX is a new NXP portfolio that was purpose-built based on our rich history and knowledge of microcontrollers. Our Kinetis and LPC portfolios have been experiencing record demand and are still relevant devices in our industry.

 

Just like Kinetis and LPC, MCX MCUs will be supported by our MCUXpresso software and tools. Existing Kinetis and LPC users will find the software development kit (SDK) within MCUXpresso to be very similar, with the difference being at the hardware abstraction layer (HAL); the rest of the drivers are identical.

 

NXP has one of the broadest offerings of Arm®-based products. The MCX portfolio extends our existing microcontroller offering including Kinetis and LPC. When higher performance is needed and/or off-chip flash is desired, i.MX RT Crossover MCUs MCUsare the recommended devices. Beyond the crossover portfolio, i.MX applications processors offer even higher performance and support open operating systems like Linux OS.

The eIQNeutron NPU is a highly scalable accelerator core architecture providing machine learning (ML) acceleration. The architecture provides power and performance-optimized NPUs integrated with NXP's very wide portfolio of microcontrollers and applications processors.

Optional system-level components such as tightly coupled memory, DMAs, data mover cores, control cores and weight compression decompression technology for optimal processing throughput.

The eIQ Neutron NPUs offer support for a wide variety of neural network types such as CNN, RNN, TCN and Transformer networks and more. ML application development with the eIQ Neutron NPU is fully supported by the eIQ machine learning software development environment.

eIQ Neutron is designed to deliver up to 40x faster machine learning throughput compared to a CPU core alone. It is an internal NXP development that provides flexibility to tune the NPU to better meet our customer needs and provides the ability to offer better ongoing support for changing applications and operator support needs when deployed.

eIQ Neutron NPU N1-16 relative acceleration
eIQ Neutron NPU N1-16 relative acceleration

The EdgeLock Secure Enclave, Core Profile in select MCX families comprises the immutable core security functionality. It is part of the silicon root of trust and features side-channel protected cryptographic acceleration engines, key management and device attestation.

Pre-configured security and key management policies enable device makers to simplify the path to certification and avoid costly mistakes and save development time.

 

Enablement: Hardware

FRDM Development Boards - FRDM-MCXN947 and FRDM-MCXA153

Low-cost, compact and scalable FRDM development boards. These boards offer flexible and rapid development for MCUXpresso.

  • Standard form factor and headers
  • Easy access to MCU I/Os
  • On-board MCU-Link debugger
  • Broad range of supported modules
  • Shield boards come with standard, pre-populated headers
  • Expansion Board Hub to find add-on boards from NXP and our partners with related MCUXpresso SDK-compatible drivers and examples
  • Development for Connectivity, Graphics, Machine Learning, Motor Control, Sensors, Touch and Voice

Win a free board

 

 

Top side of the NXP's FRDM-MCXM947 development board

Full Featured Evaluation Kit - MCX-N9XX-EVK and MCX-N5XX-EVK

The MCX N series is also supported by full-featured EVKs.

  • Memory
    • 8 MB QSPI Flash
    • uSD card socket
  • Connectivity
    • Micro USB OTG connector *2 (FS and HS)
    • M.2 Connector
    • Ethernet PHY and connector
    • ARDUINO interface
    • Mikroe Click Interface
    • Stereo Digital Microphone (MCX-N5XX-EVK only)
    • EMVSIM connector (MCX-N5XX-EVK only)
    • CAN Transceivers (MCX-N9XX-EVK only)
  • Audio
    • DMIC expansion header connections (MCX-N5XX-EVK only)
    • On-board Codec (MCX-N5XX-EVK only)
  • Debug
    • JTAG connector
    • On board MCULink debugger with energy monitor
  • Sensor
    • 3-Axis Accel (sensor FXLS8962AF) I3C temperature sensor (P3T1175)
    • Analog Light Sensor
  • HMI Support
    • Three (3) Pushbuttons
    • One (1) Touch Slider
    • One (1) RGB LED
NXP MCX-N9XX-EVK evaluation kit - top view

 

Enablement: Software

 

Applications

  • Industrial
    • Factory Automation
    • Power & Energy
    • Building Control
    • Medical Equipment
  • Smart Home
    • Control & Security
    • Smart Appliances
    • Home Entertainment
    • Health & Fitness
  • General Embedded
    • Industrial/Consumer HMI
    • Hand-held Devices
    • Power Tools
    • General Purpose Embedded Control

 

 

Links & Documents

 

Article - Placing greater intelligence at the edge

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Article

Placing greater intelligence at the edge

With the number of connected nodes that make up the Internet of Things (IoT) growing on a daily basis, it is universally accepted that the way in which machine learning (ML) inferencing is executed has to change...

Placing greater intelligence at the edge - image of AI brain above a chip

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