DeepCEE groups heterogeneous GPUs by network and compute speed, schedules a compact zero-bubble pipeline across regions, and adapts micro-batch sizes to network fluctuations, reporting 1.3-2.8x higher training throughput in a simulated CEE environment.
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DeepCEE: Efficient Cross-Region Model Distributed Training System under Heterogeneous GPUs and Networks
DeepCEE groups heterogeneous GPUs by network and compute speed, schedules a compact zero-bubble pipeline across regions, and adapts micro-batch sizes to network fluctuations, reporting 1.3-2.8x higher training throughput in a simulated CEE environment.