Reproducible MFU optimization techniques

Most large-scale training operates at 35–45% MFU—well below hardware potential. By benchmarking Llama 3.1 (8B–405B) on NVIDIA Blackwell GPUs, Lambda's AI engineers identified the root causes and built a reproducible framework to close them.

The result: MFU above 60%, a 25%+ improvement over the industry baseline, with no architectural changes and every configuration fully documented for your use.

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2.11x

MFU uplift for Llama 70B on 16x NVIDIA HGX B200

60%+

Peak MFU achieved vs. 35–45% industry norm

8B–405B

Parameter range benchmarked on Llama 3.1 models, no architecture changes

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