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MemX: Memory-Aware Automatic Parallelism for Cross-Vendor Heterogeneous GPU Training
Cross-vendor heterogeneous GPU clusters are increasingly used for large-scale model training. However, their GPUs differ substantially in compute power, memory capacity, and interconnect characteristics. Existing automatic parallelism training systems usually minimize iteration time while treating m
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