In this video from the Transtec booth at ISC 2016, Piotr Wachowicz from Bright Computing shows how the company’s cluster management software enables customers to configure and monitor OpenStack systems. “Bright Cluster Manager provides a unified enterprise-grade solution for provisioning, scheduling, monitoring and management of HPC and Big Data systems in your data center and in the cloud. Our dynamic cloud provisioning optimizes cloud utilization by automatically creating servers when they’re needed and releasing them when they’re not. Bright OpenStack provides a complete cloud solution that is easy to deploy and manage.”
In this video, researchers describe how the Jetstream project at Indiana University. Jetstream is a user-friendly cloud environment designed to give researchers access to interactive computing and data analysis resources on demand, whenever and wherever they want to analyze their data. It will provide a library of virtual machines designed to do discipline specific scientific analysis. Software creators and researchers will also be able to create their own customized virtual machines or their own private computing system within Jetstream.
In this Intel Chip Chat podcast, Dan Ferber, Open Source Server Based Storage Technologist at Intel and Ross Turk, Director of Product Marketing for Red Hat describe how Ceph plays a critical role in delivering the full enterprise capability of OpenStack. Ross explains how Ceph allows you to build storage using open source software and standard servers and disks providing a lot of flexibility and enabling you to easily scale out storage. By lowering hardware costs, lowering the vendor lock-in threshold, and enabling customers to fix and enhance their own code, open source and software defined storage (SDS) solutions are enabling the future of next generation storage.
Today ProphetStor Data Services rolled out a reference cloud computing platform with Mellanox based on the open-source projects OpenStack and Ceph. The solution leverages each company’s respective strength in software-defined-storage, state-of-the-art server hardware, and high-speed networking. Based on ProphetStor Federator SDS, this joint project addresses the key issues of OpenStack’s storage management solution as well as improving the functionality and performance of Ceph, the de facto storage backend for OpenStack.
“This talk will discuss the plans to use OpenStack to manage and automate dynamically changing an environment to provide users a highly re-configurable software environment with access to a large number of operating systems and software packages on the “Bridges system.” It will feature elements of OpenStack related to bare-metal booting, network provisioning, container management, storage, and scheduling nodes to match the workloads of the users.”
A partnership of seven leading bioinformatics research and academic institutions called eMedLab is using a new private cloud, HPC environment and big data system to support the efforts of hundreds of researchers studying cancers, cardio-vascular and rare diseases. Their research focuses on understanding the causes of these diseases and how a person’s genetics may influence their predisposition to the disease and potential treatment responses.
Today Bright Computing announced plans to release several updates and enhancements to its most popular management software solutions at SC15, which takes place November 15-20, 2015, in Austin, Texas. The updates will include more than a dozen features that simplify OpenStack deployment, add built-in integration functionality, and greatly improve Big Data integration, including support for the latest releases from Apache, Cloudera, Hortonworks, and Pivotal.
Today Bright Computing announced that its OpenStack management software integrates with Ceph to provide OpenStack with highly available and self-healing storage backend for volumes and objects.
Today Bright Computing announced Bright OpenStack, a fully integrated software stack for deployment, management, and maintenance of private clouds.
“In this session we describe how GPUs can be used within virtual environments with near-native performance. We begin by showing GPU performance across four hypervisors: VMWare ESXi, KVM, Xen, and LXC. After showing that performance characteristics of each platform, we extend the results to the multi-node case with nodes interconnected by QDR InfiniBand. We demonstrate multi-node GPU performance using GPUDirect-enabled MPI, achieving efficiencies of 97-99% of a non-virtualized system.”