H100 vs GB200 NVL72 Training Benchmarks – Power, TCO, and Reliability Analysis, Software Improvement Over Time

·SemiAnalysis··

Frontier model training has pushed GPUs and AI systems to their absolute limits, making cost, efficiency, power, performance per TCO, and reliability central to the discussion on effective training. The Hopper vs Blackwell comparisons are not as simple as Nvidia would have you believe. In this report, we will start by present the results of benchmark runs across over 2,000 H100 GPUs, analyzing data on model flops utilization (MFU), total cost of ownership (TCO) and cost per training 1M tokens. W...

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