Originally published at: NVIDIA RAPIDS Accelerates Kubeflow Pipeline with GPUs on Kubernetes | NVIDIA Technical Blog
Data science workflows are inherently complex. They scale across clusters of servers running software from different parts of the workflow and they are often compute-intensive. All this results in slow machine learning model development and deployment cycles. To help accelerate end-to-end data science training, NVIDIA developed RAPIDS, an open-source data analytics and machine learning…