Dataset · Hugging Face

Glow-AI/pco16_tabular_data

Name: pco16_tabular_data
Creator: Glow-AI
License: mit
Keywords: task_categories:other, license:mit, size_categories:n<1K, format:parquet, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, bayesian-optimization, benchmark, parallelism-configuration, tabular

pco16 Throughput of distributed LLM training as a function of the parallelism configuration, on 16 GPUs across 2 hosts. Tabular benchmark for the bolt problem pco16: the 919 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. 632 of 919 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/pco16_tabular_data.

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Author / organization	Glow-AI
License (as declared)	mit
Downloads	200 (as reported by Hugging Face)
Likes	0
Created	25 September 2026
Last updated at source	25 September 2026

bayesian-optimizationbenchmarkparallelism-configurationtabular

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