ML Inference Processor with Balanced Efficiency and Performance
Optimized for the most cost- and power-sensitive designs, Ethos-N57 delivers premium AI experiences in mainstream phones and digital TVs. The Arm AI platform makes it easy to develop on Arm by combining the highest performance, open-source software framework with the largest AI ecosystem.
Consumers want a range of mobile devices, from smartphones to laptops to PCs, that feature immersive computing with powerful artificial intelligence (AI), augmented reality (AR), virtual reality (VR), and ML capabilities. Arm offers a broad range of IP that lets developers, SiPs, and OEMs address these increasingly complex requirements.
Computer Vision at the Endpoint
To enable computer vision for a wide range of IoT applications, Arm have developed a full set of IP that enables advanced on-device processing for real-time object detection. Learn more about computer vision using the Ethos-N57 processor in this video.
The new class of ultra-efficient machine learning processors is purpose-built to redefine device capabilities and transform our lives. Discover how the Ethos-N57 NPU can create a better user experience for your products.
Optimized for the most cost- and battery-life sensitive designs, Ethos-N37 delivers premium AI experiences in entry phones, digital TVs, and other endpoint devices.
Bringing innovative AI applications with high performance and efficiency to embedded systems.
This high-efficiency and high-performance ML inference processor delivers innovative applications for a wide array of market segments, including mobile, IoT, embedded, automotive, and infrastructure.
The Cortex-A processor series powers more advanced user experiences and richer interfaces, and provides the high-performance computing needed for complex healthcare applications, such as genomic sequencing.
Arm-based chips, device architectures, and technologies orchestrate the performance of everything that makes modern life possible — from smartphones to agricultural sensors and from medical instruments to servers.