ARM®-Based Processors and MCUs

Our Arm-based portfolio offers the highest level of integration, the most comprehensive software/hardware enablement and the broadest range of performance.

Processors

i.MX Applications Processors and i.MX Crossover Processors

Arm Cortex-A7/A8/A9/A35/A53/A72 and Cortex-M4/M7 cores

Heterogeneous multicore and single-core processors for automotive, consumer/industrial multimedia and display applications.

QorIQ® Layerscape Processors

Arm Cortex®-A7/A9/A53/A72 cores

Multicore SoCs for enterprise, service provider, cloud and industrial markets.

S32 Processing Platform

Cortex-A based cores

Scalable automotive architecture for different application domains with an identical software environment.

S32V Vision Processor

Quad Cortex-A53 based core

The S32V234 processor is designed for ADAS, NCAP front camera, object detection and recognition, surround view, machine learning and sensor fusion applications.

Microcontrollers

Kinetis E Series MCUs

Arm Cortex-M0+/M4 cores

5V MCUs designed to maintain high reliability and robustness in harsh electrical noise environments targeting white goods and industrial applications.

Kinetis K Series MCUs

Arm Cortex-M4 core

High performance MCUs with up to 2MB of embedded flash and 1MB SRAM, advanced security and connectivity such as Ethernet, USB and CAN.

Kinetis L Series MCUs

Arm Cortex-M0+ core

Ultra-low-power and tiny footprint MCUs.

Kinetis V Series MCUs

Arm Cortex-M0+/M4/M7 cores

Designed for BLDC, PMSM and ACIM motor control and digital power conversion applications.

LPC MCUs

Arm Cortex-M core

General embedded MCUs spanning entry-level to high performance and integration.

S32 Processing Platform

Cortex-M and Cortex-R based cores

Scalable automotive architecture for different application domains with an identical software environment.

Kinetis EA Series Automotive Microcontrollers

Arm Cortex-M0+ core

Low-power Microcontroller with 8–128 KB of embedded flash for Automotive and Ultra-Reliable industrial applications

MAC57D5xx Automotive Microcontrollers

Cortex-M4 and Cortex-A5 based cores

The MAC57D5xx MCU family is a multi-core architecture solution for mid-range instrument cluster and industrial applications.

S32K Microcontrollers

Cortex-M0+ and Cortex-M4 based cores

S32K is targeted for general purpose automotive and high reliability industrial applications.

Wireless Connectivity MCUs

Zigbee

Zigbee is a networking protocol defined by the Zigbee Alliance for low-cost, low-power, wireless control and monitoring solutions.

Thread

Simplified IPv6-based mesh networking protocol developed by industry-leading technology companies for connecting products around the home to each other, to the internet and to the cloud.

Bluetooth Low Energy (BLE)

Providing complete SoCs, a host Bluetooth Low Energy (BLE) stack as well as many GATT profiles and services.

Sub-1 GHz: Wireless Solutions

These high-performance, bi-directional sub-1 GHz radios are capable of operating over a wide frequency range including 315, 433, 470, 868, 915, 928 and 960 MHz in the license free industrial, scientific and medical (ISM) frequency bands.

Proprietary IEEE 802.15.4-based

Provides low-power wireless communications and connectivity for home automation and smart energy applications.

Automotive MCUs and MPUs

Kinetis EA Automotive Microcontrollers

Cortex-M0+ based cores

Reliable, scalable, low-power for automotive and industrial general purpose applications.

MAC57D5xx Automotive Microcontrollers

Cortex-M4 and Cortex-A5 based cores

The MAC57D5xx MCU family is a multi-core architecture solution for mid-range instrument cluster and industrial applications.

S32K Automotive Microcontrollers

Cortex-M0+ and Cortex-M4 based cores

Targeted for general purpose automotive and industrial applications.

S32 Processing Platform

Cortex-M, -R, -A based cores

Scalable automotive architecture for different application domains with an identical software environment.

S32V Automotive Vision Processor

Quad Cortex-A53 based cores

The S32V234 processor is designed for ADAS, NCAP front camera, object detection and recognition, surround view, machine learning and sensor fusion applications