"Koi Computers is very excited about this partnership because we believe the Bright Computing Manager. is a very comprehensive solution. The functionalities of the solution simplify the management and monitoring of thousands of nodes and complex clusters. I believe our clients will find this solution complete with everything they need to maximize their productivity,"
Since 1995, Koi Computers has been a manufacturer of computer systems offering a wide array of desktop, workstation, and server solutions, as well as a robust catalog of technology products. As an ISO 9001:2008 certified organization, Koi Computers has established processes and procedures to ensure that it meets and exceeds their customers' expectations. That is why Koi Computers is a trusted IT technology provider for businesses, governments, and educational institutions.
Bright Cluster Manager is a Linux-based cluster management software solution specifically designed to make HPC clusters of any size easy to install, use and manage. Its intuitive graphical user interface offers consistent access to all management and monitoring functionality for the cluster administrators. Its HPC user environment provides a comprehensive range of HPC software development tools for the cluster users.
About Bright Computing
Bright Computing is a specialist in cluster management software and services for high-performance computing (HPC). Its flag-ship product — Bright Cluster Manager — makes clusters of any size easy to install, use and manage, and is the cluster management solution of choice for many universities, research institutes and companies across the world. Bright Computing has its head office in San Jose, California.
Pictures and screenshots of Bright Cluster Manager:
For more information:
Bright Computing, Inc.
2880 Zanker Road, Suite 203
San Jose, CA 95134
Tel: +1 408 954 7325
Fax: +1 408 715 0102
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Bright Computing is a specialist in cluster management software and services for high-performance computing (HPC). Its flag-ship product — Bright Cluster Manager — makes clusters of any size easy to install, use and manage.