Overview

Edge AI that's always on and personal. Built for performance, battery life, and privacy.

Edge AI runs inference directly on the device, enabling instant responses, offline reliability, making things more personal that require better security and privacy—all while operating under strict power and thermal limits. As experiences become more autonomous and agentic, devices also need sustained on-device performance. Arm enables this shift with an AI-ready compute foundation and software ecosystem that helps partners integrate faster and scale across smartphones, PCs, wearables, XR, smart home, and more.

Benefits

Powering intelligent edge AI on Arm

Enable real-time, energy-efficient AI on device to support everything from AI inference to agentic AI workloads.

Real-time responsiveness

Run AI locally on Arm to eliminate cloud latency and enable instant decision-making across devices.

Power-efficient, always-on intelligence

Deliver sustained AI performance with industry-leading performance per watt, optimized for battery-powered and thermally constrained devices.

Faster time to market

Simplify development with Arm Compute Subsystems (CSS) and a mature ecosystem that accelerates integration and deployment.
Scalable, secure foundation

Build once and deploy across devices and edge systems while keeping sensitive data on device for greater privacy and control.
Segments

Where Arm enables edge AI across markets

Laptops and PCs

On-device intelligence enables responsive, power-efficient PCs with sustained local AI for modern computing.

Explore laptops and PCs

Smartphones

Local AI processing powers fast, private intelligence in smartphones within strict power and thermal limits.

Explore smartphones

Gaming

Arm GPUs drive immersive, high-performance gaming for billions of global devices.

Explore gaming

Wearables

Personalized, always-on intelligence runs efficiently in wearables designed for ultralow power, all-day use.

Explore wearables

XR/AR/VR

On-device AI and optimized GPUs deliver immersive, low-latency XR experiences with efficient, lightweight, untethered designs.

Explore XR/AR/VR

Smart homes

Local intelligence enables responsive, private smart home experiences.

Explore smart homes

Industrial

Real-time, on-device intelligence enables reliable industrial systems operating under harsh physical constraints.

Explore industrial

Embedded

Efficient, real-time AI for a multitude of embedded use cases, scaling from microcontrollers to heterogenous systems.

Explore embedded
Compute platform

Compute for AI at the edge

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FAQs

FAQs

Why is edge AI becoming essential for consumer devices?

Edge AI has evolved to become more personal. It operates across the consumer devices and environments we interact with most. Consumer devices increasingly require immediate response, long battery life, and reliable operation regardless of connectivity. Running AI directly on device enables these outcomes while supporting privacy and efficiency at scale.

What types of devices use on-device intelligence today?

Personal computers, smartphones, wearables, XR systems, smart home products, and industrial devices all rely on local processing for tasks where latency, efficiency, and reliability are critical.

How does Arm support my edge AI product development?

Arm provides an AI-first compute subsystem (CSS) platform that delivers sustained power efficiency, immediate responsiveness, and reliable operation. Its fully integrated software stack—supported by the largest edge AI developer community, learning paths, and technical support—enables partners and developers to achieve fast time to market with scalable, efficient and high-performant solutions to meet the specific needs of your application.

How does Arm support intelligent systems at scale?

Arm provides a performance-efficient compute foundation combined with a mature global software ecosystem, enabling partners to deploy local intelligence consistently across diverse devices and markets.