A diffusion model is used to augment rewards in deep reinforcement learning for coordinated AIGC workload scheduling and energy management across distributed data centers.
ChatGPT’s monthly carbon footprint equivalent to 260 transatlantic flights,
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Joint Energy Management and Coordinated AIGC Workload Scheduling for Distributed Data Centers: A Diffusion-Aided Reward Shaping Approach
A diffusion model is used to augment rewards in deep reinforcement learning for coordinated AIGC workload scheduling and energy management across distributed data centers.