Rocks, Pebbles and Sand: Modality-aware Scheduling for Multimodal Large Language Model Inference
Rocks, Pebbles and Sand: Modality-aware Scheduling for Multimodal Large Language Model Inference explores RPS-Serve is a modality-aware scheduler that dramatically reduces MLLM inference latency by prioritizing requests based on their resource demands, ensuring interactive responsiveness.. Commercial viability score: 7/10 in LLM Inference Optimization.
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