Multiple Demanding Apps Deserve a Cool, Quiet Laptop

 

Artificial intelligence (AI) and network-heavy CPU workloads are placing additional strains on laptops. While traditional CPU architectures struggle to bridge the performance gap, Arm’s efficient, performant, and secure CPUs are making tomorrow’s use cases possible in Windows on Arm devices and Chromebooks.

The Armv9 architecture comprises PAC and MTE and offers class-leading protection across all devices, while our new Arm CSS for Client lays the foundation to bring on-device generative AI to life.

Deliver Multiple Experiences

AI Devices

AI Powered Devices

Arm-based SoCs, with features such as SVE and SME, support video calling, app launch, and video streams overlaid on screen. Advanced ML capabilities improve the user experience for camera and video use case innovations.

Performance Experience

Performant Experience

Our 64-bit architecture combined with CSS for Client end-to-end system optimizations help create a premium UI and enable the technologies we interact with daily to become faster, smarter, and more humanized.

Advanced Workloads icon

Advanced Workloads

Creative, professional apps and dev builds are no longer considered as heavy thread utilization with efficient, high-performance CPUs.

Secure Devices

Secure Devices

Arm’s V9 architecture comprises PAC and MTE to offer industry- leading protection across a range of devices.

Next Gen Form Factor

Next-Gen Form Factor

The features you need to create a lightweight efficient laptop that’s fan-less, always connected, rarely plugged in, and wakes instantly.

Video Conferencing

Video Conferencing

Efficient, high-performance cores capable of network-heavy CPU workloads, simultaneous video, and multitasking.

The Basis for Solutions Approach

Armv9 Architecture

Armv9-A supports the 128-bit wide fixed-length vector extensions first seen in Armv7 and Armv8. SVE2 goes further to provide variable length vectors, enabling vector-length, agnostic programming for enhanced application performance on mobile computing devices.

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Arm Compute Subsystems (CSS) for Client

Arm's first CSS for client markets is based on the latest Armv9.2 CPU cluster and Arm Immortalis GPU with new Arm Physical Implementations to address the need for more efficient compute in best-in-class consumer solutions.

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Close the Performance Gap

The demands on laptops and the OEMs who develop them have never been greater and will continue to grow. Arm’s efficient, high-performance laptop cores are rapidly outpacing traditional X86 architectures. See how making the switch now can help ensure no one gets left behind.

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Timeline: A Growing Ecosystem

Since Arm-based Windows laptops were launched in the PC market, the ‘Windows on Arm’ (WoA) devices and ecosystem have gone from strength to strength, with Microsoft recently releasing Windows 11 for Arm and developing technologies to smooth the migration path for application developers. In turn, this has led to many more developers building native apps for a growing selection of laptops.

 

Developer Attitudes to Windows on Arm

Arm Developer Attitude to Windows on Arm Thumbnail

Our latest developer sentiment survey, carried out in collaboration with Microsoft, highlights the enormous opportunity for Windows on Arm and the challenges ahead.

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Case Studies

Full Backup and Seamless PC Migration for Windows on Arm

With the rise in popularity of always-on, always-connected laptops, Zinstall answers the need for complete system-level backup for Windows on Arm.

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Seamlessly Composing Music Through Native Windows on Arm

StaffPad for Windows on Arm is a music notation app to simplify the process of composing and performing music, providing users with a rich feature set, high performance, long battery life, and multiple-device connectivity.

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Learning From Tweeten: Porting Electron Apps to Native Arm64 for Windows on Arm

Learn from Tweeten, a popular free Twitter client, on how its Electron apps natively run on Windows on Arm.

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Resources