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The traditional approach to simulating physical behaviors relies on solving partial differential equations (PDEs). Since calculating these iterative equations is highly both computationally demanding and time-consuming, data-driven methods leverage artificial intelligence (AI) techniques to alleviate that workload. Data-driven methods have to be trained in advance to provide their subsequent fast predictions; however, the cost of the training stage is non-negligible. This article presents a predictive model for inferencing future states of a specific fluid simulation that serves as a use case for evaluating different training alternatives. Particularly, this study compares the performance of only CPU, multi-GPU, and distributed approaches for training a time series forecasting deep learning model. With some slight code adaptations, results show and compare, in different implementations, the benefits of distributed GPU-enabled training for predicting high-accuracy states in a fraction of the time needed by the computational fluid dynamics solver.<\/jats:p>","DOI":"10.1177\/10943420231160557","type":"journal-article","created":{"date-parts":[[2023,5,4]],"date-time":"2023-05-04T19:01:40Z","timestamp":1683226900000},"page":"503-515","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":6,"title":["A study on the performance of distributed training of data-driven CFD simulations"],"prefix":"10.1177","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3654-7924","authenticated-orcid":false,"given":"Sergio","family":"Iserte","sequence":"first","affiliation":[{"name":"Universitat Jaume I, Castell\u00f3 de la Plana, Spain"},{"name":"Barcelona Supercomputing Center, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alejandro","family":"Gonz\u00e1lez-Barber\u00e1","sequence":"additional","affiliation":[{"name":"Universitat Jaume I, Castell\u00f3 de la Plana, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paloma","family":"Barreda","sequence":"additional","affiliation":[{"name":"Universitat Jaume I, Castell\u00f3 de la Plana, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2635-7345","authenticated-orcid":false,"given":"Krzysztof","family":"Rojek","sequence":"additional","affiliation":[{"name":"Czestochowa University of Technology, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2023,5,4]]},"reference":[{"key":"bibr1-10943420231160557","unstructured":"Abadi M, Barham P, Chen J, et al. 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