Arm Holdings has today launched its new Armv9 Edge AI Computing Platform, designed to revolutionize edge computing and the Internet of Things (IoT). At the core of this platform are the Arm Cortex-A320 CPU and the cutting-edge Arm Ethos-U85 NPU, which enable the operation of AI models with over a billion parameters at the edge, delivering next-level efficiency for IoT devices.
Paul Williamson, Senior Vice President and General Manager of Arm's IoT Division, stated, "AI innovation is no longer confined to the cloud. As global connectivity and intelligence continue to evolve, AI workloads at the edge are not only offering significant advantages but are also essential for the development of smart cities, industrial automation, and more. The launch of our Armv9 Edge AI platform marks a pivotal milestone in this ongoing transformation."
Arm highlights the growing pressure faced by original equipment manufacturers (OEMs), who must rapidly deploy solutions to meet the rising computational demands of IoT applications. These include precise navigation for autonomous vehicles in factory environments, smart cameras that can upgrade functionalities through software, and the creation of human-machine interfaces offering more intuitive AI-driven interactions.
The new platform underscores the growing importance of edge computing in the IoT ecosystem. The Cortex-A320 introduces advanced AI capabilities and developer advantages to the IoT space, extending the functionality of the Armv9 architecture to high-efficiency devices while providing comprehensive software support.
Additionally, the Armv9.2 architecture integrated into this platform delivers advanced security features for even the smallest Cortex-A devices. These include Pointer Authentication (PAC), Branch Target Identification (BTI), and Memory Tagging Extension (MTE)—key features that protect sensitive data on edge devices, which often operate in exposed environments.
With the ongoing integration of Edge AI across Arm's platforms, this new product expands Arm's ability to offer the most advanced Armv9 Cortex processors for IoT, ranging from high-performance solutions to cost- and power-constrained devices.