University of North Dakota Deploys Bright Cluster Manager for HPC, Data Science, and the Cloud on HPE Apollo 6500 Gen10 System

By Bright Staff | Oct 8, 2019 5:00:00 AM

SAN JOSE – Today, Bright Computing, a global leader in Linux cluster automation and management software for HPC and machine learning, announced that the University of North Dakota (UND) has chosen Bright Cluster Manager for HPC, Bright Cluster Manager for Data Science, and Bright OpenStack to unify its newly designed clustered infrastructure giving them more versatility, access to the cloud and to deep learning resources. The supercomputer at UND runs on the HPE Apollo 6500 Gen10 system, purpose-built for HPC and a leading platform for deep learning. The project was overseen by Core Technology Services (CTS) of the North Dakota University System, with input from Bright partner, Data in Science.

Read More >

Taashee Linux Services Joins Bright Partner Program to Bring Clustered Infrastructure Management to Indian Customer Base

By Bright Staff | Aug 13, 2019 12:01:00 AM

Amsterdam, the Netherlands - Today, Bright Computing, a global leader in cluster and cloud infrastructure automation software, announced that Taashee Linux Services has joined the Bright Partner Program as a Reseller Partner serving India, Singapore, and the UAE.

Read More >

Bright Computing Releases Version 8.2 of Bright Cluster Manager, Bright OpenStack, and Bright Cluster Manager for Data Science

By Bright Staff | Nov 12, 2018 6:00:00 AM

Bright Computing, the leading provider of platform-independent cluster management software, has announced version 8.2 of the Bright product portfolio with new capabilities for managing edge computing, improved workload accounting/reporting, and support for 64-bit ARMv8 processors. The new release will also come with PythonCM2 –– an all-new way to interact with Bright Cluster Manager using Python –– and features some big increases in performance. Version 8.2, shipping later this month,  also brings updated integration with workload engines.  

Read More >
COMMENTS