Unlock the Benefits of Artificial Intelligence for IoT Devices

AI is impacting everything. From the data center to the 5G network edge to every connected device, AI use cases are driving massive compute requirements. Billions of smartphones already make daily use of machine learning (ML) for voice recognition, image processing, and other applications, but many forecasts show the growth of IoT creating billions more devices—using AI to unlock even greater possibilities. 

The majority of these IoT devices will be small, power and cost-constrained microcontroller-based systems. Network bandwidth and consumer expectations around data privacy and user experience continue to demand more on-device processing, while the ability to deploy AI to the smallest devices opens up new use cases for innovative developers.  

Arm offers new compute technologies coupled with an industry-leading ecosystem of software and tools to help companies realize the full potential of AI for IoT, and to help streamline the design, development, and support for AI-based IoT applications. Combined, the Cortex-M55, Arm's most AI-capable Cortex-M processor, and the Ethos-U55, the industry's first microNPU for Cortex-M, deliver up to a 480x leap in ML performance, bringing endpoint AI to billions more devices.  

Download Solutions Brief
Features and Benefits


Superior Performance

Up to an unprecedented 480x uplift in on-device ML performance, enhancing capabilities for the smallest, power-constrained IoT devices. 

Streamlined Development

DSP and ML programs are integrated with classical embedded applications in a single unified software workflow for increased efficiency and reduced time to market.  

Seamless Optimization

Built-in support for common ML frameworks, such as TensorFlow Lite Micro, so ML workloads on Arm processors automatically have access to world-class tools. 

Use Cases for On-device Processing

As AI mainstream popularity grows, so does the range of applications businesses seek to develop. These fundamental use cases are inspiring companies of all sizes to innovate for new possibilities and disrupt existing markets. 

Vibration and Sensor Fusion

Wearable health tracker, industrial sensors, motor control, industrial anomaly detection.

Voice and Sound

Voice-activated home devices, such as smart speakers, and lightbulbs, headsets and earbuds. 

Vision and Image

Video doorbell, gesture-controlled machines, smart door unlock, quality assurance.

Hardware, Software, Tools and Ecosystem Provide Best-in-class Solution

The combination of leading hardware IP, easy-to-use tools, open source software and leading ecosystem are enabling AI for IoT to scale. 


Additionally, Arm’s comprehensive, full-stack suite of integrated software and tools make it easier and quicker to design, develop, and maintain AI-based IoT applications. Read the Blog 

What Arm Partners Are Saying

"The ‘Empowered Edge’ is becoming a new mega trend, driven by new AI paradigms, as well as the challenges of cloud-based processing like cost, latency, reliability and privacy. Arm’s new endpoint ML technologies will help NXP’s broad base of microcontroller developers accelerate edge inference in devices limited by size and power."

Geoff Lees, Senior Vice President of Edge Processing, NXP

"The flexibility, uplift in performance and ease of development that the Arm Cortex-M55 and Ethos-U55 processors bring will enable Shoreline IoT to deliver solutions with a much longer battery life and more complex, faster and advanced ML algorithms right at the endpoint."

Kishore Manghnani, Co-founder and CEO, Shoreline IoT

Talk with an Expert

Find out how Arm’s new processors are enhancing on-device machine learning capabilities to help drive innovation and open up new business opportunities.

Contact Us
Arm Technology Moves Compute Closer to Data Than Ever

Arm is enabling compute as close as possible to where data is generated, reducing latency to maximise time-to-value of the data.

The Road to a Trillion Intelligent Endpoints

Combining ML with higher on-device compute capabilities will enable real-time analytics in IoT endpoints, making even the smallest endpoint device smarter.