AlphaFold 2 achieved atomic-level protein structure prediction, creating massive demand for computational infrastructure and GPU/TPU capacity to fold 100+ million proteins in UniProt database

“alpha fall 2 took 2 weeks to train the whole system on a relatively modest setup of 8 tpus or 150 gpus which by modern day machine learning standards is quite small and then the inference the predictions are can be done lightening fast you know order of minutes sometimes seconds on for an average protein on a single gpu... over the next year we plan to fold every protein you know in known to science which is in uniprot which is the massive database that has all the genetic sequences and there's over 100 million proteins known to science”