Open a World of Innovative Opportunities with Edge AI
Arm provides the foundation for all ML at the edge with the hardware IP, solutions, toolchains, frameworks, and ecosystem to help achieve performance requirements, energy targets, and scalability across all markets. As a result, companies that build on Arm can accelerate time to market, simplify software development through application portability, and in turn innovate for the expanding use case opportunities and build better customer experiences across markets.
A Strong AI Ecosystem
Through our vast ecosystem, Arm already powers a wide range of devices and applications that rely on ML at the network edge and endpoints. By adding ML capabilities to processor technology, Arm is helping devices and applications become even smarter, more energy efficient, and more affordable than ever before. Designed for future generations of AI applications, Arm processor technology is helping to transform business models across a range of markets, from the edge to the enterprise.
Capturing the many opportunities for AI-based IoT devices requires the right hardware, software, tools, and ecosystem. Arm is driving the growth of ML with leading-edge technology and a world-class ecosystem built for ML.
IP and Solutions
Arm solutions and IP enable ML application performance and efficiency across the Arm portfolio of products. Arm already provides the foundation for compute with performance-efficient ML solutions in over 900 million Cortex-A ML-capable devices and 15 billion Cortex-M ML-capable devices in the market today alongside our NPU technology.
Arm provides core components and works with partners to develop custom frameworks that together ease deployment and integrations across AI use cases and applications.
Tools are an essential way to simplify the development experience. Keil MDK, Arm Vela Compiler, and Arm ML Inference Advisor reduce development complexities, and our partner ecosystem provides tools that work across the range of development environments.
Alongside alignment to ML-specific standards, including TOSA, TinyML, and OpeXLA, Arm is accelerating innovation with PSA Certified and Arm SystemReady that help enable scalable and portable solutions.
With new ML use cases being realized every day, it’s more important than ever to ensure systems are built to address the compute demands of today, and for tomorrow.
Machine Learning: The Basics
Discover platform, hardware, software considerations. Grasp the basics of ML, explore opportunities and challenges, and learn how to get started
Machine Learning Transforms the IoT
The integration of ML into IoT is sparking exponential growth and shaping a dynamic ecosystem. Explore use cases and considerations that are unlocking unprecedented possibilities.
Webinar: Bringing Intelligence to Constrained Endpoint Devices
Unlock new use cases with greater levels of intelligence. This webinar demonstrates how you can achieve DSP and ML compute performance on constrained endpoint devices with Helium vector processing technology. View Webinar.
- How to Choose the Right Processor IP for your ML Application
- Optimizing Machine Learning Workloads on Power-efficient Devices
- What’s Powering Artificial Intelligence