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Innovations in AI Hardware Architecture
This chapter explores the evolution and competitive landscape of AI hardware, particularly focusing on Cerebras' Wafer Scale Engine. It highlights the architectural advancements that improve memory capacity and operational flexibility, emphasizing optimization techniques for deep learning applications. Additionally, it discusses the seamless integration with popular frameworks, enabling developers to efficiently manage complex models.