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AMD's MI300X Surpasses Nvidia's H100
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AMD's MI300X outperforms Nvidia's H100 by 30% in benchmarks, with a focus on FP16 versus FP8. AMD refutes Nvidia's selective workloads and its use of vLLM instead of TensorRT-LLM. The industry's shift towards FP8 from FP16 is also discussed.
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How might AMD's superior performance impact the competitive landscape in the GPU market?
How might the performance comparison between AMD's MI300X and Nvidia's H100 influence future AI and ML developments?
What factors could contribute to the industry's shift towards FP8 from FP16?
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