AIBullisharXiv – CS AI · 7h ago7/10
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Ragged Paged Attention: A High-Performance and Flexible LLM Inference Kernel for TPU
Researchers introduced Ragged Paged Attention (RPA), a specialized inference kernel optimized for Google's TPUs that enables efficient large language model deployment. The innovation addresses the GPU-centric design of existing LLM serving systems by implementing fine-grained tiling and custom software pipelines, achieving up to 86% memory bandwidth utilization on TPU hardware.
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