Optimizing Generative AI on Arm Processors

AI models are becoming increasingly powerful—but also increasingly demanding. As Generative AI moves from cloud data centers to mobile phones, autonomous systems and embedded IoT devices, the need to optimize performance across diverse hardware environments has never been more critical. Arm-based processors power more than 300 billion devices globally, from smartphones to hyperscale cloud servers, making them a key foundation for efficient AI deployment across the compute landscape. To meet this growing demand, learners need the skills to translate machine learning models into real-time, hardw…