Arm technology powers the world’s leading hard disk drives (HDDs) and solid-state drives (SSDs). Our verified, power-efficient processors, system IP, and security combined with the world’s largest ecosystem and support, allow our semiconductor partners to meet the needs of their storage applications – both now and for the future.
The combination of ready-to-run, open-source code from Linux and Arm’s singular toolchain reduces fragmentation and provides a common foundation for fast development.
Arm’s Cortex processors and system IP offer a high-performance and power efficient solution that are designed for complex computing tasks for storage-based devices.
Reduce risk and achieve success by choosing proven Arm technology that has been integrated into billions of storage devices to-date.
A Guide to Computational Storage on Arm
To be successful in this increasingly digital world, organizations need the infrastructure and technology to be capable of delivering and storing data and analytics in a fast, secure and efficient way. Computational storage enables organizations to create customer value by maximizing the benefits of big data. It puts processing power directly on the storage device, giving companies quick and easy access to vital information.
This easy-to-read guide provides an introduction to computational storage and its benefits, walking through real-world examples of how it's deployed today and what to consider when implementing it in your device.
Automotive
Cypress Semiconductor Corporation embedded an Arm Cortex-M0 in its new family of NOR flash memory solutions to meet the growing needs of its Advance Driver Assistance Systems (ADAS) customers. NOR solutions enable the processing of complex embedded algorithms for enhanced, more reliable memory, as well as real-time functional safety monitoring to the industry’s stringent ISO 26262 standard.
Data and content are growing exponentially. The amount of data created in the world annually will reach 180 Zettabytes (or 180 trillion gigabytes) in 2025, up from less than 10 Zettabytes in 2015 and 44 Zettabytes in 2020, according to Digital Universe. All this data must be stored somewhere. To support data growth at this scale (according to Digital Universe), storage solutions must include both exceptional performance and low-power consumption.
From the smallest Arm Cortex-M0+ processor in an embedded storage device, to an advanced Cortex-A55 processor in an enterprise SSD, Arm storage solutions offer high performance, power-efficient technology used in billions of devices.
Arm Cortex processors can be incorporated into an SoC using a broad range of system IP and development tools from the world's largest embedded ecosystem, speeding up time to market and optimizing implementation.
System IP
Arm System IP enables designers to build Arm AMBA systems that are high performance, power efficient, and reliable. Configurable for many different applications, Arm System IP offers the flexibility you need for your storage-based system.
Software Development Tools
Arm supports software development from the smallest Cortex-M series microcontroller to many-core SoCs. The right software makes all the difference to how you build a storage device.
Machine Learning
The way we interact with machines is changing. Arm’s Project Trillium is transforming lives through a new class of advanced and ultra-efficient machine learning and object detection processors purpose-built to redefine device capabilities.
Storage Resources
Everything you need to know to make the right decision for your project. Includes technical documentation and industry insights.
Blogs
- NGD Systems deliver industry-first 16TB NVMe Computational Storage Device in a 2.5" U.2 SSD
- SMI releases their SM2270 NVMe SSD Controller, including 3 dual core Cortex-R5 CPUs
- Cypress delivers smart, fail-safe storage platform leveraging Arm processor for enhanced safety and reliability
Presentations
- Flash Memory Summit 2018: How to evolve an SSD into an edge server
- Flash Memory Summit 2018: Bringing intelligence to enterprise storage drives
- Flash Memory Summit 2019 : Transforming Storage Controllers with Low-cost, Low-power Compute
- SNIA 2019: Transforming Storage Controllers with Cost Effective on Drive Linux Workloads
- SNIA 2019: A Simple Approach to Implementing Computational Storage
Proud members of the Storage Networking Industry Association (SNIA), including the Computational Storage Technical Work Group (TWG).
Partners
An Ecosystem of Trust
Arm is at the epicenter of the world’s largest compute ecosystem. Our vast community of software, tools, and service partners support and enable the use of our technology across markets and applications.



