Unlock the Benefits of Artificial Intelligence for IoT Devices
AI is impacting everything. From the datacenter to the 5G network edge to every connected device, AI use cases are driving massive compute requirements. Billions of smartphones already make daily use of machine learning (ML) for voice recognition, image processing, and other applications, but many forecasts show the growth of IoT creating billions more devices—using AI to unlock even greater possibilities.
The majority of these IoT devices will be small, power and cost-constrained microcontroller-based systems. Network bandwidth and consumer expectations around data privacy and user experience continue to demand more on-device processing, while the ability to deploy AI to the smallest devices opens up new use cases for innovative developers.
Arm offers new compute technologies coupled with software and tools to help companies realize the full potential of AI for IoT, and to help streamline the design, development, and support for AI-based IoT applications. The Cortex-M55 and Ethos-U55 processors combined with Arm’s tools deliver up to a 480x leap in ML performance, bringing endpoint AI to billions more devices.
As AI mainstream popularity grows, so does the range of applications businesses seek to develop. The fundamental use cases covering vision, voice, and vibration are inspiring companies of all sizes to innovate for new possibilities and disrupt existing markets.
Unlock the full potential of endpoint AI. Hear how Arm is collaborating with partners such as Google and Microsoft to accelerate AI innovation.
Arm and Google: A partnership to make it easier for developers to deploy endpoint AI
Hear from Ian Nappier, TensorFlow Lite for Microcontrollers product manager at Google about Google’s collaboration with Arm.
Arm and Microsoft: Collaboration to accelerate the deployment of AI across billions of IoT devices.
Listen to Moe Tanabian, Vice President, GM Azure Edge Devices, Microsoft, speak about Microsoft’s collaboration with Arm.
Watch NowThe combination of leading hardware IP, easy-to-use tools, open source software and leading ecosystem are enabling AI for IoT to scale.
Cortex-M55 Processor
Arm’s most AI-capable Cortex-M processor delivers enhanced, power-efficient DSP and ML performance.
Ethos-U55 microNPU
The industry’s first microNPU for Cortex-M, specifically designed to accelerate ML inference.
Corstone-300 Reference Design
The fastest way to incorporate the Cortex-M55 and Ethos-U55 processors into a system-on-chip design.
Software and Tools
The combination of Arm Keil MDK and Mbed provides a platform for building and deploying endpoint AI devices.
"The ‘Empowered Edge’ is becoming a new mega trend, driven by new AI paradigms, as well as the challenges of cloud-based processing like cost, latency, reliability and privacy. Arm’s new endpoint ML technologies will help NXP’s broad base of microcontroller developers accelerate edge inference in devices limited by size and power."
Geoff Lees, Senior Vice President of Edge Processing, NXP
"The flexibility, uplift in performance and ease of development that the Arm Cortex-M55 and Ethos-U55 processors bring will enable Shoreline IoT to deliver solutions with a much longer battery life and more complex, faster and advanced ML algorithms right at the endpoint."
Kishore Manghnani, Co-founder and CEO, Shoreline IoT
Find out how Arm’s new processors are enhancing on-device machine learning capabilities to help drive innovation and open up new business opportunities.