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MAPS: Memory-Aware Predictive Scheduling Framework for Large Language Model Serving

Zhang, Tiancheng et al.
arXiv (OAI Expanded) · Papers
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artificial-intelligence
The surge of large language model (LLM) applications on personal devices imposes massive, bursty workloads on cloud serving infrastructure. While prefill-decode disaggregation improves throughput and scalability, memory-bound decode instances often suffer from persistent load imbalance, as output le
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