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Training MoE models just got a whole lot faster and more reliable: UniEP's MegaKernels and deterministic token ordering unlock significant speedups without sacrificing numerical stability.
LLM serving can achieve 5.6x higher throughput without sacrificing latency by decoupling preemption granularity from scheduling frequency.