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Tuesday, September 26, 2017 - San Jose, CA – Bright Computing, a global leader in cluster and cloud infrastructure automation software, today announced that Bright Cluster Manager 8.0 now integrates with IBM Power Systems™. 

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San Jose, CA – Bright Computing, the leading provider of hardware-agnostic cluster and cloud management software, announces it has supplied its Bright Cluster Manager™ solution to the Fox Chase Cancer Center for use in a new high-performance computing (HPC) cluster. The 30-node cluster supports bioinformatics initiatives for Fox Chase’s world class cancer research programs. Fox Chase focuses on RNA sequencing and variant calling in tumor samples, as well as clustered regularly interspaced short palindromic repeats (CRISPR) data processing, protein structure prediction and molecular modeling, and computational docking investigations for drug discovery. Fox Chase Cancer Center chose Bright Cluster Manager for its easy-to-use graphical user interface (GUI), which gives researchers point and click cluster management, rather than the traditional command line interface with which many researchers struggle.

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San Jose, CA – Bright Computing, the leading provider of hardware-agnostic cluster and cloud management software, announces it has supplied its industry-leading Bright Cluster Manager™ software to the University of North Dakota for use on its high-performance computing (HPC) clusters. UND replaced its existing cluster management software with Bright Cluster Manager software after conducting deployment trials that demonstrated the software’s ease of use and convenience for system administrators.

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San Jose, CA – Bright Computing, the leading provider of vendor-independent cluster and cloud management software, announces it will be exhibiting at Supercomputing 2016 Exhibition and Conference, which takes place November 13-18, 2016, at the Salt Palace Convention Center, in Salt Lake City, Utah. Visit Booth #3417 to see how Bright Computing makes it easy to manage Linux-clustered infrastructure for high performance computing, big data analytics, deep learning, and private cloud. 

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