Micros

Crossover Microcontroller offers advanced security

25th February 2020
Alex Lynn
0

NXP Semiconductors has announced market availability of the i.MX RT600 crossover microcontroller (MCU) family, a solution for ultra-low power, secure edge applications including audio, voice and machine learning. The i.MX RT600 crossover MCU provides optimal balance in power, performance, and memory.

Features include: 

  • Arm Cortex-M33 running up to 300MHz.
  • Optional Cadence Tensilica Hi-Fi 4 audio/voice digital signal processor (DSP) running up to 600 MHz with Quad 32x32 MAC.
  • A 28nm FD-SOI process optimised for both active and leakage power.
  • NXP’s advanced embedded security technology – EdgeLock.
  • Optimised machine learning support using Glow neural network compiler.

The i.MX RT family of crossover MCUs are designed to bridge the gap between high-performance and integration while minimising costs to meet today's need for high performance embedded processing at the edge. The series delivers advanced microcontrollers (MCUs) with the functionality of applications processors, at low costs, enabling advanced computation and machine learning capabilities in millions of connected edge devices.

The i.MX RT600 MCU family is available with a suggested resale price starting at $4.50 for 10,000-unit quantities. NXP will accompany the silicon release with an i.MX RT600 evaluation kit at a suggested resale price of $129.

i.MX RT600 is fully supported by the NXP MCUXpresso suite of tools and software, including IDE support, system configuration and extensive driver and middleware support. In addition, Cadence's Xplorer IDE, DSP function libraries and audio codecs are also available for free of use by developers. The company has also partnered with DSP Concepts, Alango Technologies and Sensory to provide high performance voice pre-processing and recognition software, plus professional audio libraries and tools.

Furthermore, the integrated HiFi 4 DSP will be supported with the NXO eIQ for Glow machine learning compiler, accessible in the next MCUXpresso SDK with a release planned for Q2 2020.

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