In this SpotlightON podcast, Robert Stober from Bright Computing is joined by Adnan Khaleel, Global Sales Strategist for HPC, AI and Deep Learning at Dell Technologies. Together, they discuss the subject of HPC as a service: What it means, how it is different from traditional HPC, and what the benefits are.
Atipa Technologies Joins Bright Reseller Program
March 19, 2020 by Leave a Comment
Today Bright Computing announced that Atipa Technologies has become the latest company to join the Bright Computing Partner Program, as an Advanced Reseller. “Through our partnership with Bright Computing, we will incorporate Bright’s industry-leading cluster management technology into our HPC solutions so that our customers who are less familiar with the Linux command line or who do not have the financial resources to hire an experienced Linux sysadmin can dive in and start using the cluster on day one.”
Bright Cluster Manager for Data Science Now Available at No Charge with Easy8
February 25, 2020 by Leave a Comment
Today Bright Computing announced that Bright Cluster Manager for Data Science is now available at no charge as part of the Easy8 program. Launched in November of 2019, Easy8 is designed to put Bright’s award-winning cluster management software in the hands of every organization working with high-performance Linux clusters. Easy8 offers the full-featured Bright Cluster Manager software free for up to 8 nodes, and now includes Bright Cluster Manager for Data Science. Bright Cluster Manager automates the process of building and managing heterogeneous Linux clusters that span from your on-premise datacenter to the cloud, and to the edge.
Bright Computing adds more than 100 new customers In 2019
February 21, 2020 by Leave a Comment
Commercial enterprises, research universities and government agencies are turning to Bright Cluster Manager to reduce complexity and increase flexibility of their high-performance clusters. Along these lines, the company just announced the addition of more than 100 organizations to its client list in 2019, including AMD, Caterpillar, GlaxoSmithKline, Saab, Northrop Grumman, Trek Bicycles, Samsung, General Dynamics, Lockheed Martin and BAE, as well as 19 government agencies and 28 leading universities.
Simula Research Lab to Manage Heterogeneous HPC Platform with Bright Computing
January 28, 2020 by Leave a Comment
Today, Bright Computing announced that Simula Research Laboratory has chosen Bright Cluster Manager to manage its multi-architecture, multi-OS HPC environment. “After a careful evaluation, Simula chose Bright Cluster Manager to provide comprehensive management of eX³, enabling the organization to administer its HPC platform as a single entity; provisioning the hardware, operating systems, and workload managers from a unified interface. Further, the intuitive Bright management console will allow Simula to see and respond to what’s happening in their cluster anywhere, at any time.”
Full Roundup: SC19 Booth Tour Videos from insideHPC
January 8, 2020 by Leave a Comment
Now that SC19 is behind us, it’s time to gather our booth tour videos in one place. Throughout the course of the show, insideHPC talked to dozens of HPC innovators showcasing the very latest in hardware, software, and cooling technologies.
University of Siegen Doubles Down on Bright Computing for HPC Management
December 13, 2019 by Leave a Comment
Bright Computing recently announced that the University of Siegen has expanded its use of the company’s HPC system management software to address the increasingly varied and challenging demands from its research staff. “We have had nothing but positive experiences with Bright Cluster Manager and the Bright support team,” said Daniel Harlacher, HPC team leader at University of Siegen. “I would highly recommend the technology. Bright increases the performance of my team by automating many everyday tasks, freeing my team to concentrate on delivering exceptional service to our university departments.”
Moving HPC to the Cloud with Easy8 and Bright Cluster Manager
December 4, 2019 by Leave a Comment
In this video from SC19, Bill Wagner from Bright Computing announces the latest release of Bright Cluster Manager software for HPC, OpenStack, and Data Science. Now available for free for clusters up to eight nodes with the Easy8 program, Bright Cluster Manager simplifies building and managing Linux clusters from the core to the cloud and to the edge. “We are excited about the new features in 9.0,” said Bill Wagner, CEO of Bright Computing. “Our development team has been hard at work implementing a host of features designed to better extend on-premise clusters to the public cloud and edge, improve ease of use, lower administrative costs, and increase standardization across the enterprise.”
Bright Cluster Manager now Free for Clusters up to 8 Nodes
November 19, 2019 by Leave a Comment
Today Bright Computing announced the launch of “Easy8” – a program designed to put their award-winning Bright Cluster Manager software in the hands of every organization working with high-performance Linux clusters. Easy8 offers the full-featured Bright Cluster Manager software for up to 8 nodes at no charge and is available immediately from the Bright Computing website. Bright also announced the launch of its new “BEACON” user community, which is designed to provide Bright customers and Easy8 users with a free forum where they can access technical content, share experiences, ask/answer questions, exchange ideas, and suggest product enhancements.
Bright Computing Powers Deep Learning at University of North Dakota
October 8, 2019 by Leave a Comment
The University of North Dakota is using Bright Computing software to unify its newly designed clustered infrastructure, giving them more versatility, access to the cloud and to deep learning resources. “Bright software makes it easy for us train new staff to deploy, provision, and manage our clustered infrastructure for HPC, Data Science, and Cloud; all integrated, and all from a single point of control. We can deploy Ceph nodes, install standard HPC products, roll out cloud features, introduce data science packages, all from a single interface with robust enterprise-grade support.”
