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An AI silicon portfolio refers to a collection of specialized hardware designed to accelerate artificial intelligence workloads, including custom chips like TPUs, GPUs, and NPUs. These components are optimized for tasks such as deep learning inference and training, offering higher efficiency and performance compared to general-purpose processors. Companies building AI silicon focus on power efficiency, speed, and scalability to meet growing demands in machine learning applications across indust…