Tag: Kubeflow

Many AWS customers are building AI and machine learning pipelines on top of Amazon Elastic Kubernetes Service (Amazon EKS) using Kubeflow across many use cases, including computer vision, natural language understanding, speech translation, and financial modeling. In this post, we will describe AWS contributions to the Kubeflow project, which provide enterprise readiness for Kubeflow deployments. […]

The Kubeflow project is designed to simplify the deployment of machine learning projects like TensorFlow on Kubernetes. There are also plans to add support for additional frameworks such as MXNet, Pytorch, Chainer, and more. These frameworks can leverage GPUs in the Kubernetes cluster for machine learning tasks. Recently, we announced support of P2 and P3 […]