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Consumer Technology on Arm

Arm technology is pervasive across consumer devices, including 99% of all smartphones, and most contain multiple Arm-based processors. An SoC in a high-end smartphone might contain four or more Arm-based CPUs to handle different tasks, as well as an Arm Mali graphics processor (GPU) for video or games and an NPU for voice commands or running facial recognition algorithms.

Arm processors have also become a growing presence in laptops, providing consumers with high performance and all-day battery life.

As more consumers experience the internet through Arm-based devices than PCs.⁶ Arm has increasingly collaborated with the software community to optimize games and other applications while improving stability and security.

Over the next decade, expect to see more immersive content—8K capture and projection, augmented and virtual reality, real-time gaming—running on thinner, lighter, and even more efficient smartphones, tablets, wearables, and laptops. New devices that eliminate the 'computer' from computing will also emerge.

Samsung Exynos 2100 provides 30% more performance while consuming 20% less power than its predecessor. It includes one Arm Cortex-X1 CPU (peak performance), three Arm Cortex-A78 CPUs (sustained performance), four Arm Cortex-A55 CPUs (maximum efficiency), and an Arm Mali-G78 (graphics).

Embedded and IoT on Arm

Arm-based processors can be found inside other consumer devices (set-top boxes, smart speakers, wearables, TV remote controls) as well as in commercial/industrial systems (HVAC systems, manufacturing robots, motion controllers) due to their ability to deliver superior performance within very tight thermal and power envelopes.

A growing number of our partners are turning to Arm technology to embed AI into devices for predictive maintenance and other IoT services. Innovation from Arm's global software community is essential in making these services a reality.

Arm technology is increasingly being used to perform complex AI tasks, such as grid balancing and real-time threat detection. Smart sensor networks powered by energy-efficient processors will also be deployed to improve agriculture, logistics, and other industries.

Bob Assistant, a smart sensor for predictive maintenance, can sample equipment vibrations every five minutes for two years on a single AA battery.

Automotive on Arm

Arm Cortex CPUs power the advanced driver assistance systems (ADAS), in-vehicle infotainment systems, entertainment systems, vehicle body cameras, EV battery modules, charging systems, and engine management systems inside many cars. Compute efficiency is critical for EVs: reducing the electrical load of computing systems can extend driving range.

Nissan incorporated Arm Cortex-R CPUs in the control system of the Leaf to increase efficiency, output, and deliver 1.3x more torque. Other Arm partners include Apostera, with technology that uses augmented reality to project traffic and other information safely onto the windshield so drivers can keep their eyes on the road.

Arm and Arm partners are also deeply involved in the development of autonomous driving systems. Fully autonomous cars are expected to 'run' on over 1 billion lines of code. Onboard computing systems will need to be extremely powerful, compact, and efficient, and achieve high levels of safety for autonomy to hit the road.

Bumper to Bumper: Arm's automotive lineup includes Cortex-A (high performance), Cortex-M (balanced), Cortex-AE (mixed-criticality workloads), Cortex-R (real-time processing), and Mali (graphics) for serving the range of critical applications.

Infrastructure on Arm

Arm Neoverse is our processor family for servers, networking, and digital infrastructure. Neoverse-based SoCs can range in size from 8 to 128 CPUs, include GPUs or NPUs, and vary by speed, cache, I/O, and other attributes.

Improved power performance translates into datacenters and wireless networks that can accomplish more work with less real estate, power, cost, and equipment. Customers report price/performance gains of 40% or more⁷.

Arm technology can be found in the operations of AWS, Oracle, Alibaba, Baidu, Tencent, Equinix, and numerous carriers. Red Hat, VMWare, and other software developers have also gravitated to Neoverse.

Meanwhile, laboratories in the EU, UK, US, Republic of Korea, Switzerland, Germany, India, and elsewhere have adopted Neoverse for their latest supercomputer designs.

Capacity Speed, and Power: Marvell's OCTEON 10 network processors, based on a Neoverse Armv9 CPU, will provide a 3x performance- and 4x performance-per-watt uplift to datacenters and 5G networks. Marvell also plans to combine OCTEON with NVIDIA GPUs to improve AI at the edge.