There are a few reasons for the connection between GPUs and data science. For example, the image-rendering algorithms that GPUs have traditionally used to simulate 3D environments involve the same sort of mathematical model as those in data science. What's more, the tensors -- or multidimensional matrices -- common in machine learning and deep learning calculations are well-suited to parallel execution on GPU cores. The result has been an explosion in data science and machine learning programming frameworks that facilitate the development of sophisticated algorithms and are optimized for GPU execution.