AI Chip
AI chips are specialized processors designed to accelerate artificial intelligence computations, primarily focusing on deep learning tasks. Current research emphasizes optimizing inter-core communication and memory management to improve performance for large models, exploring architectures like those found in Graphcore IPUs and AWS Trainium/Inferentia2 chips, and adapting AI libraries for diverse applications such as computational fluid dynamics and large language model deployment (e.g., RAG systems). This field is crucial for advancing AI capabilities across various domains, from scientific computing to consumer technologies, by providing the necessary computational power and efficiency.
Papers
August 9, 2024
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February 27, 2024
December 11, 2023
March 20, 2023