This whitepaper, “Hybrid Cloud with Bright Cluster Manager,” from our friends over at Bright Computing discusses how hybrid cloud infrastructures allow organizations to strategically manage their compute requirements from core data center to public cloud and edge, but they are very complex to build and manage. Automation is essential, and verifying your staff’s abilities to work with your tool of choice is mandatory.
Bright Computing Announces Record Revenues and Bookings in 2020
San Jose – February 4, 2021 – Bright Computing, focused on automation and management software for edge-to-core-to-cloud high-performance computing, today announced record revenues and milestones achieved in 2020 despite the on-going challenges presented by the global pandemic. Bright Computing is active in next-generation computing infrastructure with commercial enterprise-grade software for building and managing distributed clusters […]
DHI Group Picks Bright Cluster Manager for Supercomputer Capacity Planning
Amsterdam, Netherlands – Wednesday, November 4, 2020 – Today, Bright Computing, maker of Linux cluster automation and management software for HPC and machine learning, announced that DHI Group has upgraded its supercomputer, which now includes Bright Cluster Manager, to support its HPC environment to extend to the public cloud for additional resources when needed to […]
Flatiron Institute Expands beyond 1000 Nodes with Bright Computing Cluster Management Software
The Flatiron Institute, New York, a community of scientists using modern computational tools to advance the basic sciences, is deploying a 320-node addition to its research cluster that will be managed by cluster management software from Bright Computing, maker of Linux cluster automation and management platform for HPC and machine learning. The implementation at Flatiron, […]
Increasing HPC Cluster Productivity Through System Resource Tracking
This white paper from Bright Computing addresses the necessary steps to give administrators, managers, and users the information they need to use HPC system resources effectively, to maximize system productivity, to enable effective resource sharing, to identify waste and to provide charge-back capability.
Podcast: Streamlined Data Science through Jupyter Lab and Jupyter Enterprise Gateway
“Jupyter is a free, open-source, interactive web tool known as a computational notebook, which researchers can use to combine software code, computational output, explanatory text and multimedia resources in a single document. This podcast looks at how the Bright Jupyter integration makes it easy for customers to use Bright for Data Science through JupyterLab notebooks, and allows users to run their notebooks through a supported HPC scheduler, Kubernetes, or on the server running JupyterHub.”