MARLIN applies multi-agent game-theoretic RL to cut TTFT by at least 18%, carbon emissions by 33%, water usage by 43%, and energy costs by 11% versus prior LLM inference managers.
Q-learning-based workload consolidation for data centers with composable architecture,
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MARLIN: Multi-Agent Game-Theoretic Reinforcement Learning for Sustainable LLM Inference in Cloud Datacenters
MARLIN applies multi-agent game-theoretic RL to cut TTFT by at least 18%, carbon emissions by 33%, water usage by 43%, and energy costs by 11% versus prior LLM inference managers.