Enabling New Applications
AI unleashes new waves of innovation, powering new applications and business models in multiple markets.
The Right Platforms
Arm ecosystem technologies for hardware and software enable the development of intelligent, distributed, heterogeneous and secure solutions.
AI solutions are already used by billions of people worldwide on platforms such as smartphones but are quickly spreading into more diverse applications.
Security in Intelligence
The information, communications and inferences of an AI system must be secure for the safety and privacy of its users.
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 wide portfolio of CPU, GPU, and interconnect technologies power many current AI applications and also deliver on future requirements. Arm DynamIQ technology enables faster responses between the CPU and specialized SoC accelerator hardware. Dedicated ML and AI instruction sets and compute libraries will boost AI performance up to 50x over the next 3-5 years relative to today’s Cortex-A73-based systems.
Software enablement is key to advancing AI. The Arm Compute Library offers optimized low-level functions for faster deployment of computer vision, ML and AI applications on CPU and GPU cores. Arm is also working with its ecosystem to optimize AI software solutions so developers can create efficient and responsive applications.
Distributed Intelligence from Cloud to Edge
Enable AI everywhere
Distributed intelligence will eventually be in every part of the system, from the datacenter to network infrastructure, to both smart and constrained devices. 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. Powerful application-class 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.
In Arm’s 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.
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