Arm transforms IoT economy with virtual hardware and new solution-oriented products

Arm today announced the Arm Total Solutions for IoT. This unique approach to IoT design will lay the foundation for a new IoT economy. Arm IoT Total Solutions will simplify and enable modern software development, accelerating development for developers, OEMs and service providers at every stage of the IoT value chain, reducing product design cycles by up to two years.

Arm transforms IoT economy with virtual hardware and new solution-oriented products

“By revolutionizing the way systems are designed, Arm is uniquely positioned to drive a new IoT economy whose shape, speed and scale are comparable to the smartphone application market economy,” said Mohamed Awad, vice president of Arm’s IoT and Embedded Group. Comparable. The Arm IoT Total Solution transforms the way we deliver key technologies across the ecosystem and demonstrates our significant and ongoing investment in software that empowers developers to innovate and expand global reach.”

  New virtual hardware target reduces product design cycles by up to two years

Arm IoT Total Solutions are based on the proven Arm Corstone™, a set of proven, pre-integrated subsystems that have accelerated time-to-market for more than 150 designs by Arm chip partners. Arm IoT Total Solutions brings Arm Virtual Hardware Targets to software developers, OEMs, and service providers. This new cloud-based service provides a virtual model of the Corstone subsystem, eliminating the need for software development based on The physical chip is carried out. Arm Virtual Hardware brings modern and agile software development methods to IoT and embedded platforms, including continuous integration/continuous development (CI/CD), DevOps and MLOps, without investing in complex hardware farms.

Through accurate models of Arm-based SoCs that provide mechanisms for simulating memory and peripherals, software development and testing can now begin before chips are complete. As a result, typical product design cycles can range from an average of five years to a maximum of shortened to three years. This allows Arm chip partners to obtain customer feedback on the chip before the chip is taped out, while assisting the entire IoT value chain, and can easily develop and test code based on the latest IP before the chip is released.

Arm virtual hardware is available now on AWS Marketplace, with a planned launch in China in 2022. Arm’s partners are using this technology to accelerate innovation and speed time-to-market.

  Simplify the development process by designing for use cases

Arm IoT Total Solutions is a complete set of solutions designed for specific use cases, allowing developers to focus on what really matters, which is innovation and differentiation across different applications and devices. It has everything you need to simplify the design process and product development, including hardware IP, software, machine learning models, advanced tools such as new virtual hardware targets, application-specific reference code, and sources from the world’s largest IoT ecosystem support.

The first configuration of Arm’s comprehensive IoT solution is available for use cases in general computing and machine learning workloads, including an example of machine learning-based keyword recognition. At the same time, virtual hardware targets are in place to support multiple configurations from Arm chip partners based on the Arm Corstone-300 subsystem, which combines the Cortex™-M55 processor with the Arm Ethos™-U55 micro-neural network processor. Please click for more details.

Arm is committed to taking a comprehensive solution as an approach and drawing a strong future product plan through a complete product roadmap, which covers applications such as speech recognition and object recognition.

  Standardization is the key to scaling

To enable industry partners to leverage the software and services they have invested in the broadest platform, Arm is also launching Project Centauri, which aims to provide a set of device and platform standards and reference implementations for device boot, security and cloud integration , for the broad Arm Cortex-M software ecosystem, to achieve a similar contribution to the Cortex-A ecosystem by Project Cassini.

Project Centauri’s API includes support for PSA certification and Open-CMSIS-CDI, a set of standard cloud-to-device specifications that minimize the development effort required to launch different cloud solutions and real-time operating systems. Project Centauri will reduce engineering development costs, accelerate time-to-market, enable large-scale IoT deployments, and strengthen the security of the Cortex-M ecosystem.

Leading the Ecosystem into the New IoT Era

 Chip shipments based on the Arm Cortex-M architecture have so far exceeded 70 billion and are still growing. According to Mordor Intelligence, the average compound annual growth rate (CAGR) of IoT chips will reach nearly 15% in 2026. To capitalize on this growth opportunity, Arm is focused on ensuring that the ecosystem continues to be at the forefront of accelerating IoT innovation by expanding the availability of Arm IP to make Arm IoT comprehensive solutions available to businesses of all types and including Arm. Innovate with projects including Flexible Access.

Arm IoT Total Solutions represent the beginning of a new era of IoT – an era where software and hardware are truly co-designed at the system level. Arm is uniquely positioned to unite software and hardware developers to create scenario-defining computing and unlock the economics of the Internet of Things. Regardless of where computing occurs, from smartphones to data centers to the current Internet of Things, taking systems into account in the design process will be key to accelerating innovation and taking full advantage of the dedicated processing power provided by the Arm ecosystem.

For more on Arm Virtual Hardware, Project Centauri, and other Arm IoT developer plans, sign up for a free Arm DevSummit online this week.

  Partner Testimonials:

“Alif semiconductor is committed to providing developers with next-generation secure IoT solutions that enable efficient AI/machine learning and long standby time. Arm virtual hardware brings an innovative way to enable our customers and software partners to Repeatedly training and debugging AI models in the cloud, getting the ideal number of compute cycles for our specific SoC system configuration and comparing it to the actual number of cycles we measured on the chip. This new approach will empower developers Save time and optimize designs.”

Mark Rootz, Senior Marketing Director, Alif Semiconductor

“Arm’s comprehensive IoT solutions are expected to help the global developer community to further unleash their creativity and drive the spirit of innovation that Arduino has always been passionate about. By simplifying and accelerating development, reducing fragmentation, and empowering developers to build new products quickly and efficiently, Arm and Its ecosystem partners are driving the next wave of IoT innovation to achieve higher levels of return on investment.”

Arduino CEO Fabio Violante

“Realizing the potential of machine learning in the IoT field requires deep neural networks that are as fast, small and low-power as possible. Arm virtual hardware will enable the Deeplite engine to create higher-performance, more energy-efficient AI models, which in turn will help developers in Pushing boundaries when designing for use cases across all vertical markets.” co-founder and chief product officer Davis Sawyer

“There is huge potential for audio innovation in IoT applications, especially through the use of machine learning. Arm virtual hardware allows us to start porting and optimizing for new Arm processors earlier in the development cycle. We believe in Arm IoT comprehensive solutions Innovative features such as adaptive noise interference cancellation, acoustic event recognition and acoustic scene adaptation will help accelerate time-to-market for customers and enable end users to experience the latest applications faster.”

Paul Beckman, Founder and CTO, DSP Concepts

“Arm virtual hardware is bringing revolutionary capabilities to the embedded world. Combined with Edge Impulse’s modern approach to embedded machine learning, we’re paving the way for new innovations in a way that’s never been seen before.”

Edge Impulse co-founder and CEO Zach Shelby

“Qijing Optoelectronics’ always-on smart sensing products provide cutting-edge AI computing capabilities while maintaining low power consumption, low bandwidth, and protection of private data. Our collaboration with Arm on its edge AI ecosystem will help We address these needs and lead to our WiseEye solution, a technology developed using the Arm IoT total solution design approach to deliver market-leading capabilities. Through the Arm Virtual Hardware Target, we and the ecosystem’s developers are able to Software development begins before the chip is complete, significantly reducing time-to-market.”

Chen Youdong, Vice President of R&D of Himax

“The L2S2 Managed Medical Device Cloud (MMDC) is designed to overcome barriers to healthtech development and deployment and provide the tools to enable ultra-fast hardware and software development. The launch of Arm Virtual Hardware is exciting, enabling devices Data systems can be stress-tested by simulating large-scale deployments before device hardware is complete, eliminating system failures that can delay clinical trials and regulatory approvals.”

L2S2 CEO Philip Gaffney

“Linaro and Arm have been working closely together on technologies such as Trusted Firmware, MCUboot and OpenCMSIS-pack to create a fully tested and secure foundation for AI-driven IoT devices. We are delighted with today’s announcement and we believe in Arm IoT The comprehensive solution will fuel developer innovation and further accelerate the deployment of robust and secure Arm-based IoT devices.”

Andrea Gallo, Vice President of Business Development at Linaro

“For a range of emerging IoT applications, systems engineers need machine learning to generate practical insights from sensor data. Arm virtual hardware targets and Qeexo AutoML will complement each other to enable earlier performance evaluation, design exploration and optimization. , enabling high-performance machine learning on Arm architecture-based processors.”

Elias Fallon, Director of Machine Learning Business at Qeexo

“Sondrel has been working with Arm for nearly 20 years and was the first member of the Arm Certified Design Partner Program. Arm Corstone gives us access to pre-integrated and validated IP components, which in turn allows us to simplify and accelerate end-to-end at a lower cost. End-to-end silicon service delivery. The Arm IoT Total Solution now introduces new capabilities through Arm Virtual Hardware, enabling our customers to start software development and integration before the silicon is complete.”

Graham Curren, CEO of Sondrel

“Machine learning will be a key force in the development of future IoT applications. Arm virtual hardware allows us to develop and test libraries for the new Cortex-M55 and Ethos-U55, and support these new processors before the silicon is complete, It also enables developers to adopt these technologies earlier in their product designs.”

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