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AMD's MI300X outperforms Nvidia's H100 by 30% in benchmarks, showcasing improved performance and reduced latency in FP8 inference using TensorRT-LLM. The article also refutes Nvidia's use of a selective set of inferencing workloads and its reliance on vLLM instead of TensorRT-LLM.

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