A new technical paper titled "Hardware-based Heterogeneous Memory Management for Large Language Model Inference" was published by researchers at KAIST and Stanford University.
Abstract
"A large language model (LLM) is one of the most important emerging machine learning applications nowadays. However, due to its huge model size and runtime increase of the memory footprint, LLM inferences suf...
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