Advanced computation powered by GPUs is changing the clinical decision-making process. We'll present an exciting example of using NVIDIA GPUs for multi-contrast magnetic resonance imaging exams. Neurological disorders result in great clinical challenges and high societal burdens. Multi-contrast MRI exams are frequently used for diagnosis because the various tissue contrasts provides complementary diagnosis information to distinguish normal tissue from pathology. However, the cost of acquiring these multiple sequences is extensive scanning time, which significantly increases both the diagnosis cost and patients' discomfort and limit the acquired image quality. We'll propose a new approach to accelerate multi-contrast imaging using a deep learning approach powered by GPUs. Validated on both patients and healthy subjects, we'll demonstrate that we can significantly reduce scanning time while improving image resolution and quality and preserving the diagnostic information.