In the context of machine learning projects that involve large datasets and complex models, a team is considering the adoption of distributed computing to optimize their workflow. The project has strict deadlines and requires the processing of datasets that are too large for a single machine. Additionally, the team is looking for a solution that not only accelerates the training process but also scales efficiently with increasing data sizes. Given these constraints, which of the following is the main advantage of employing distributed computing in this scenario? (Choose one correct option)