NVIDIA Brings The Power Of GPU To Data Processing Pipelines

NVIDIA has launched an open source project called Real-time Acceleration Platform for Integrated Data Science (RAPIDS) that aims to deliver end-to-end data science infrastructure based on GPUs. GPU-backed machines play an essential role in generating machine learning models. Data scientists run training jobs that are computationally intensive on GPUs. Massive datasets that are converted into complex matrices of numbers are used as an input for machine learning and deep learning models. During the training process, these matrices are added, multiplied and subtracted from other complex matrices.