NVIDIA’s first Vera Rubin NVL72 MLPerf preview reports up to 3.7x the throughput of GB300 NVL72 on Qwen3-VL and up to 2.5x on DeepSeek-R1, under specific closed-division configurations.
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Open weights make a model portable, but they do not make hosted endpoints identical. Quantization, limits, parsers and plain software bugs can turn one model name into several products.