NXP partners on Arm machine learning accelerator

Technavio report, the global logistics robots market
NXP's partanership with Arm is designed to help designers build machine learning applications for industrial and IoT edge devices.(Technavio)

NXP Semiconductor announced a lead partnership Monday with Arm over a machine learning (ML) accelerator that is focused on industrial and IoT edge devices.

NXP said it intends to use Arm’s Ethos U-55 micro Neural Processing Unit (NPU) accelerator in Cortex-M microcontrollers as well as crossover MCU’s and real-time subsystems in processors for industrial and edge uses.

NXP described the Ethos-U55 accelerator as highly configurable and able to work with the Cortex-M core to provide a small footprint with a 30x increase in inference performance when matched against other microcontrollers. An Arm whitepaper (PDF) also described the Ethos-U55 with Cortex-M as offering low-power consumption and a 480x ML performance improvement over previous Cortex-M generations. The microNPU is a new class of ML processor and comes in four different configurations with maximum performance of up to 0.5 trillion operations each second in a 16nm process.

Industry Event

Embedded Technologies Expo & Conference

Limited Passes Available - Register now and save with Early Bird Rates!

Embedded Technologies Expo & Conference is North America’s ONLY embedded event focused on helping design engineers through exhibits showcasing new and emerging products & solutions, education, training, and hands-on learning experiences. Join us in the heart of Silicon Valley - June 22-24, 2020 at the McEnery Convention Center in San Jose, CA. Use promo code FE100 for $100 off Conference Passes.

The Ethos-U55 can work with the Cortex-M55, Cortex-M7, Cortex M-33 and Cortex-M4. Using a single Cortex-M toolchain can simplify and reduce AI application development time, Arm said in its whitepaper.

“The greatest potential for the next computing revolutions lies in scaling AI to the billions of smaller, power-constrained endpoint devices,” Arm said.

NXP boasted its comprehensive portfolio of ML compute elements include CPUs, GPUs, DSPs and NPUs that work with its elQ machine learning development tools. Customers can use the tools and NXP edge processor building applications including object detection, face and gesture recognition, natural language processing and predictive maintenance.

NXP recently announced i.MX 8M Plus processors to add to its ML product line. When combined with the quad Arm Cortex-A53 processor, the NPU can operate at up to 2.3 TOPS, NXP said.

Also on Monday, NXP announced the availability of its i.MX RT600 crossover MCU family for low-power, secure edge applications. It is available for suggested resale at $4.50 per MCU in 10,000-unit quantities. An evaluation kit is priced at $129.

RELATED: Fastest growing tech job roles: engineer/scientist in data or ML

Suggested Articles

A couple companies are starting to innovate power-through-the-air technology to power small IoT sensors for use cases in industrial settings.

Tech companies unable to generate cash will likely be out of business, clearing the market, says Siebel systems founder

Israeli company UVeye has developed contact-free, emergency-vehicle inspection systems equipped with thermal sensors to monitor fever in drivers.