Arm announces new IoT hardware

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Earlier this week, Arm debuted several new products for its Internet of Things (IoT) portfolio, including its yet-to-be-performed Cortex-M microcontroller. The new updates cover Arma’s Total Solutions for IoT roadmap and targeted applications such as Cloud-Native Edge device and voice recognition. Overall, Arm aims to support a comprehensive IoT ecosystem, ranging from sensors to industrial applications.

Total Solutions for IoT

Arm launched its Total Solutions for IoT half a year ago to deliver a complete stack solution to accelerate IoT development. The platform combines IP, software, machine learning (ML) and other tools for product design. As is common in Arm’s business model, the company focuses on providing common hardware (IP) that allows developers to innovate in areas of diversity. Here, the core of its IoT platform is ArmCorstone as a pre-integrated and pre-tested IP subsystem.

Arm is now launching two new Total Solutions. The first, Total Solution for Cloud Native Edge devices, is based on Arm’s most high-end Corstone-1000 platform, which has Cortex-A processors like Cortex-A53, but also takes advantage of Cortex-M for the most efficient performance. The company says the addition of Cortex-A32 gives IoT developers the ability to run operating systems like Linux as well as application-class workloads. Potential devices that could benefit from the newly introduced tech solution include wearables, gateways and smart cameras. In addition, the platform has a hardware secure enclave for the protection of sensitive data.

The company’s second release, Total Solution for Voice Recognition, is based on the Corstone-310 subsystem, which includes the new Cortex-M85 and Ethos-U55 NPUs that Arm claims are its top performance MCU-based design. This solution can be used to enhance technologies such as smart speakers, thermostats, drones and factory robots.

The new Cortex-M85 is Arm’s highest-performing Cortex-M processor to date, claiming 30% more than the Cortex-M7 and 20% for ML workload. It supports the Armv8.1-M instruction set that includes Arm Helium technology for endpoint ML and digital signal processing (DSP) workloads. With helium, performance improves five to 15 times with the introduction of new, less accurate scalar and vector instructions.

The Cortex-M85 also has arm trustzone support for enhanced security. Arm says it achieves the PSA Certified Level 2 security baseline for IoT deployments.

“IoT runs on the arm and we have a responsibility to create more opportunities for IoT innovation and scale by constantly increasing the bar on performance, smooth development and reuse of software for our ecosystem,” said Mohammed Awad, Vice President of IoT and Embedded Technology. Hands

Virtual hardware

This week, Arm also unveiled several new virtual devices to further expand its virtual hardware. Additions include the Cortex-M33 up to Corstone platform and seven new Cortex-M processors. Arm also reports that it is expanding its library with third-party hardware from partners such as NXP, ST Microelectronics and Raspberry Pi.

Arm Virtual Hardware, which was launched last fall along with its Total Solutions, enables software development ahead of Silicon through a cloud-based offer. This allows the arm ecosystem to adapt to cloud-based development.

Open IoT

The computing and data technology giant also launched Project Centauri to promote standard IoT development. To that end, Arm has announced that it is distributing the first release of the Open IoT SDK Framework, which includes the new Open-CMSIS-CDI software standard. This standard defines the Common Device Interface (CDI) for the Cortex-M ecosystem. Arm says eight players from the industry are already involved, including cloud service providers, ODMs and OEMs.

All of the company’s new tech solutions are immediately available for license and can be accessed in the cloud. As part of Arma’s roadmap, the company is also working on Total Solutions for Vision, Object Recognition and Smart Sensor Fusion. The first one will be addressed by Cortex-A53, while the latter two will take advantage of Cortex-M processors.

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