Glow-AI/pco32_tabular_data

pco32 Throughput of distributed LLM training as a function of the parallelism configuration, on 32 GPUs across 8 hosts. Tabular benchmark for the bolt problem pco32: the 379 rows are the full candidate set. Objective throughput_mean, to maximise. NaN where the run OOMed, since no throughput is observed at all -- a hidden (crash) constraint, not a bad value. Constraint ran_successfully. 339 of 379 configurations run; the rest exhaust GPU memory. Feasibility is only learnable by… See the full description on the dataset page: https://huggingface.co/datasets/Glow-AI/pco32_tabular_data.

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