Apache Spark is a very popular application platform for scalable, parallel computation that can be configured to run either in standalone form, using its own Cluster Manager, or within a Hadoop/YARN context. A growing interest now is in the combination of Spark with Kubernetes, the latter acting as a job scheduler and resource manager, and Read more...
In this blog, we discuss how there are multiple benefits of Kubernetes on vSphere, such as Availability, Interoperability, Scalability, and Performance. Today, we are releasing best practices papers that detail how to architect VMware Enterprise PKS and Red Hat OpenShift on the VMware Software-Defined Data Center (SDDC). The papers describe the technical and operational benefits of Read more...
Leveraging VMware PKS in VMware cloud on AWS: Since the announcement of VMware Tanzu—a portfolio of products and services to help enterprises build, run and manage applications on Kubernetes—at VMworld US, our customers have been expressing their excitement. They are eager to drive adoption of Kubernetes and are looking to VMware to simplify the Read more...
This article directs you to a recent webinar that VMware produced on the topic of executing distributed machine learning with TensorFlow and Horovod running on a set of VMs on multiple vSphere host servers. Many machine learning problems are tackled using a single host server today (with a collection of VMs on that host). However, Read more...
Introduction While virtualization technologies have proven themselves in the enterprise with cost effective, scalable and reliable IT computing, Machine Learning (ML) however has not evolved and is still bound to dedicating physical resources to obtain explicit runtimes and maximum performance. VMWare and Bitfusion has developed technologies to effectively share accelerators for machine learning over the Read more...
