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Linnaeus University
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Achieving up to 2.64x speedup in Mixture-of-Experts execution by cleverly overlapping computation and communication could redefine efficiency benchmarks in large-scale AI models.
Achieving up to 25.5% faster multi-GPU training by overlapping computation and communication could redefine efficiency benchmarks in large-scale ML systems.
