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.”
Simula Research Lab to Manage Heterogeneous HPC Platform with Bright Computing
January 28, 2020 by Leave a Comment
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.”
Podcast: Building AI Datacenters with NVIDIA DGX Reference Architectures
September 29, 2019 by Leave a Comment
In this podcast, Lee Carter from Bright Computing and Carlo Ruiz from NVIDIA discuss building datacenters with NVIDIA DGX Reference Architectures. “NVIDIA DGX servers managed by Bright Cluster Manager deliver the perfect balance of increased concurrency for handling data science workloads, the massive compute requirements associated with those workloads, and the seamless management of all resources across the HPC cluster. Join this podcast to learn more about the power behind this partnership.”
Podcast: Reducing Complexity with Cluster Management from Bright Computing
August 22, 2019 by Leave a Comment
In this Conversations in the Cloud podcast, Lee Carter from Bright Computing offers comprehensive software for deploying, managing, and monitoring clustered infrastructure, in the data center or the cloud. “Looking forward, Lee speculates that the future of AI will see new technologies like autonomous cars using complex simulation and modeling in small scale systems, continuing the legacy of HPC.”
Bright Reseller Raid Media Systems Targets German Supercomputing Market
August 6, 2019 by 1 Comment
Raid Media Systems has become the latest partner to sign up to the Bright Computing Reseller Program. As a reseller, Raid Media Systems has chosen to partner with Bright Computing in order to provide its customers with an easy to use cluster management solution. The Reseller anticipates that Bright technology will allow its staff to spend less time on cluster management tasks and more time focusing on improving application performance and cluster utilization for its customers. “We are happy to partner with Bright to offer industry-proven cluster management software to our customer base,” said Daniel Vogel, Systems Engineer at Raid Media Systems. “This ensures that our customers get the very best solutions for their needs.”
The Convergence of HPC and AI
August 4, 2019 by Leave a Comment
In this special guest feature, Bill Wagner from Bright Computing writes that the convergence of HPC & AI presents new challenges for containers, job scheduling, and system management. “But here’s the rub … traditional HPC applications run under the jurisdiction of an HPC workload manager like Slurm or PBS Pro, whereas machine learning applications are primarily run in containers under the jurisdiction of a container orchestration system, such as Kubernetes.”
