Fast computers enable significant advancements in machine learning, particularly through efficient CPU workflows. Users processing vast amounts of data have found that optimizing for cost-effectiveness can lead to impressive performance without relying solely on expensive GPU resources. Emphasizing the importance of traditional techniques alongside new methods can enhance overall development processes.
