The Next Era of Computing – Machine Learning for Every Device

The way we interact with machines is changing. Arm’s Project Trillium will transform our lives through a new class of advanced and ultra-efficient machine learning processors purpose-built to redefine device capabilities.

The Foundation for Intelligent Computing
Artificial Intelligence Building Blocks

Arm technologies enable the world’s most popular AI platform — the smartphone — including machine learning (ML) features like predictive text, speech recognition, and computational photography. We also enable newer AI platforms like voice assistants and consumer robots that are revolutionizing how people interact with technology and the way technology interacts with the world.


As we move from the era of web services and apps to an era of AI-based systems, this revolution will happen faster. AI will be pervasive in all computing applications. Autonomous driving will change how we use cars. Smartphones will become more intuitive and proactive. Radical new business models will change our lives in ways we can’t imagine. Arm technology will enable this new era.

Right for Each Application

Responsive and Efficient AI

Arm’s Project Trillium is driving the AI revolution, redefining device capabilities through a new class of ultra-efficient processors and highly optimized software.  

Providing a massive efficiency uplift from CPUs, GPUs, DSPs and accelerators, Project Trillium completes the Arm Heterogenous ML compute platform with the Arm ML processor and open-source Arm NN software.

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Distributed Intelligence from Cloud to Edge

Enable AI Everywhere

Distributed intelligence will eventually be in every part of the system, from the datacenter to the devices in our hands. Latency and network bandwidth requirements have been a catalyst for deploying intelligence at the edge.


Arm's common architecture will support diverse AI applications and their specific requirements everywhere they need to run. Highly capable cores and interconnects can enable the high compute power required in the data center. Highly power-efficient microcontrollers can enable AI algorithms for even highly constrained, battery-powered edge devices, such as wearables and sensors.

AI at the Edge                                                                 
Research Byte from GigaOm 

With insights from Arm, Google and leading universities that focus on data science, GigaOm explores the requirements for artificial intelligence to deliver on its promise of improving our lives through the devices around us. 

Embedded Machine Learning Design for Dummies
Looking to add machine learning to your device?

Explore platform configuration, hardware, software, and ecosystem significance. Grasp the basics of ML, explore opportunities and challenges, and learn how to get started.

In Arm AI We Trust

The Foundation of Safe and Secure Systems

Security and privacy are critical and Arm TrustZone technology is a proven trust enabler. Edge devices will carry out more analysis, sending only essential data back to the datacenter, reducing the risk of data breach and remote monitoring. The scalability of the Arm architecture allows it to be applied in network and datacenter systems as well as the smaller edge nodes, keeping the entire system secure.


AI systems will operate in hazardous environments. Applications such as autonomous vehicles and robots require the highest levels of reliability and the ability to fail safely. Arm is at the forefront of developing processor and on-chip interconnect technology that supports the functional safety ISO 26262 standard.

Use Cases
Where Innovation and Ideas Come to Life

ElliQ is an engaging robotic companion that learns its owner’s behavior patterns to proactively suggest activities, play music, videos, and ebooks, and connect to family and friends through social media. Intuition Robotics uses Qualcomm Snapdragon 820 SoC built on Arm Cortex technology, with machine learning functionality.

Talk with an Expert

With so many applications for artificial intelligence emerging, it can be difficult to know where to start. Talk to an Arm expert about the right machine learning solution for your AI project.

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Related Products and Services
Explore More Options and Features
Project Trillium

Project Trillium

A new class of ultra-efficient processors and highly optimized software. Designed for unmatched versatility and scalability, Project Trillium is enabling a new era of ultra-efficient machine learning (ML) inference.

Machine Learning Processor

Machine Learning Processor 

An optimized, ground-up processor design for machine learning. State-of-the-art optimized fixed-function engines provide best-in-class performance and energy efficiency. Programmable engines support future innovation and algorithms.

Arm NN

Arm NN

Free of charge, this software developer kit bridges the gap between existing NN frameworks and the underlying IP.

What We're Thinking

Arm and its global partner ecosystem is one of the largest, most prolific and creative communities of product innovators. We’re providing power-efficient intelligence as the foundation for transformative applications and business ideas. See how Arm makes smart possible. 

Advancing Machine Learning

Arm neural network machine learning (ML) software makes it easier than ever to build and run ML applications on power-efficient, Arm-based platforms.

Solving Real-World Problems

ML is changing healthcare, retail, automotive and server technologies. Now, the major challenge is to move this power to the edge and solve the privacy, security, bandwidth and latency issues that exist today.

Machine Learning Resources

Machine Learning solution brief

Face Unlock

A technical look at deploying face identification, anti-spoofing, and low-power wakeup

Voice Assistance

As intelligent assistance is becoming vital in our daily lives, the technology is taking a big leap forward.

Voice Recognition

As AI-powered voice recognition evolves, are we truly prepared for a future of smarter, more conversant devices?

Software Frameworks for Neural Networks

Learn how to run software frameworks using Arm NN, an inference engine that makes it easier to target different SoC architectures. 


Accelerate ML

Hear from Arm experts and learn how fast and easy it is to run AI/ML applications on a mobile development platform.

Project Trillium

ML processing requirements vary significantly according to workload; Arm’s Project Trillium suite of IP delivers scalable ML and neural network functionality at any point on the performance curve. Let Arm experts help you navigate the path. 

Ecosystem Partners