A computer Cluster is a group of loosely coupled computers that work together closely so that in many respects they can be viewed as though they are a single computer. The components of a cluster are commonly, but not always, connected to each other through fast local area networks.
Read the eBook to find out how the cloud model of paying only for the resources that you need—and only when you need them—supports experimentation and evaluation and is a great solution for short-term or occasional-use projects where investment in a dedicated cluster is cost prohibitive.
University of East Anglia wished to create a “green” HPC resource, increase compute power and support research across multiple operating systems. Platform HPC increased compute power from 9 to 21.5 teraflops, cut power consumption rates and costs and provided flexible, responsive support.
Delivering a cost-effective HPC solution to Cisco Unified Computing System (UCS) customers has become easier thanks to Bright Computing. Read more to Learn how these products provide an HPC cluster solution that offers cost-saving features.
IBM Platform HPC Total Cost of Ownership (TCO) tool offers a 3-year total cost of ownership view of your distributed computing environment and savings that you could potentially experience by using IBM Platform HPC in place of competing cluster management software.
View this demo to learn how IBM Platform Computing Cloud Service running on the SoftLayer Cloud helps you: quickly get your applications deployed on ready-to-run clusters in the cloud; manage workloads seamlessly between on-premise and cloud-based resources; get help from the experts with 24x7 Support.
ApplicationHA leverages more than 12 years of development of well-known Symantec Cluster Server technology to provide an application monitoring package that runs inside a Hyper-V guest operating system, with full integration for Failover Clustering and the Heartbeat monitoring service.
In this Gigaom Research webinar, the panel will discuss how the multi-cluster approach can be implemented in real systems, and whether and how it can be made to work. The panel will also talk about best practices for implementing the approach in organizations.
This book examines data storage and management challenges and explains software-defined storage, an innovative solution for high-performance, cost-effective storage using the IBM General Parallel File System (GPFS).
Recent IDC surveys of the worldwide high performance computing (HPC) market consistently show that cooling today's larger, denser HPC systems has become a top challenge for datacenter managers. The surveys reveal a notable trend toward liquid cooling systems, and warm water cooling has emerged as an effective alternative to chilled liquid cooling.
This report defines storage-centric virtualized infrastructure, its opportunity and use cases, and the emerging vendor landscape that IT infrastructure and operations groups should evaluate as they purse the software-defined data center.
This document makes recommendations for the design, optimization and scaling of VMware Horizon Workspace and Horizon View deployments on Nutanix. It shows the scalability of the Nutanix Complete Cluster and provides detailed performance and configuration information on the scale-out capabilities of the cluster when leveraged for Horizon deployments.
Extensive testing has been performed in collaboration with VMware to simulate real real-world workload and conditions of operating a Horizon Workspace environment. Sizing and recommendations have been made after multiple testing iterations and joint validation.
The solution and testing provided in this document was completed with VMware Horizon Workspace deployed on VMware vSphere on the Nutanix Complete Cluster.
Blade servers can yield significant cost efficiencies over rack servers — while taking up a smaller footprint, consuming less power and providing significant advantages in terms of manageability, scalability and flexibility.
Savvy IT professionals are finding that blade servers are less expensive than traditional rack servers for most new deployments, while also delivering improvements in agility, scalability and manageability.