
A toolkit for running AlphaFold 3 inference at scale on multi-GPU clusters. The repository contains a profile-driven multi-GPU executor, two memory profilers (peak and time-series), GPU and CPU runtime estimators, an input-JSON manipulation utility, and a standalone GPU memory monitor. The tools are designed to work together: profile your hardware once, use the resulting TSV to estimate batch runtime ahead of time, then run the batch in parallel across all available GPUs with VRAM-aware scheduling.
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| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
