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GeoMesh: Workload-Balanced and Sign-Compressed Geo-Distributed LLM Training
Large language models are increasingly trained on GPUs distributed across multiple regions, but geo-distributed training is challenging in practice. Real clusters often contain GPUs with different speeds and memory capacities, and they communicate over slow wide-area networks. Our analysis shows tha
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