AMD and Nvidia Trade Barbs Over AI Benchmarking as Software and Hardware Advances Fuel Continual One-Upmanship
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AMD and Nvidia are quarreling over AI benchmarking results, with each accusing the other of cherry-picking data. Nvidia claims AMD used non-optimized software while AMD says Nvidia compared mismatched precisions.
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Software libraries like TensorRT and ROCm are playing an increasingly important role in boosting AI accelerator performance.
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Memory capacity and bandwidth are key hardware factors. AMD's MI300X has a big advantage here over Nvidia's H100 which limits batch sizes.
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Upcoming Nvidia H200 and Intel Gaudi3 chips will narrow the memory gap with boosted capacity and bandwidth.
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With new generations releasing yearly, the AI chip battle promises continual one-upmanship on hardware and software fronts.