JRTI to Sell Bright Cluster Manager with High Performance CPU and GPU Clusters

James River Technical, Inc. (JRTI) enters into integration partnership agreement with Bright Computing

San Jose, California and Richmond, Virginia — Bright Computing, a leader in cluster management software and services for high-performance computing (HPC), and James River echnical, Inc (JRTI), specialists in accelerated and HPC solutions for the higher education and research, government and commercial market segments, have entered into a reseller agreement allowing JRTI to sell Bright Cluster Manager™ throughout North America. JRTI will offer Bright Cluster Manager on new and existing clusters, together with its installation, support and management services.

JRTI sells HPC solutions from Cray, Dell, NVIDIA and others, as well as their own custom hardware platforms. JRTI also provides a wide range of visualization solutions.

"Bright Cluster Manager offers our clients a uniquely simple and comprehensive cluster management tool, providing a faster, easier solution for their cluster management needs." said Jeff Fettig, Vice President of Sales and Marketing for JRTI. “Whether laying over an existing collection of tightly integrated or highly disparate cluster nodes, or pursuing a leading edge heterogeneous Tesla™ based GPU cluster solution, Bright Cluster Manager takes the focus off building and managing clusters, and gets our clients' systems into productivity much more rapidly."

“JRTI delivers an impressive range of HPC platforms and visualization products,” said Dr. Matthijs van Leeuwen, CEO of Bright Computing. “Bright Cluster Manager is a strong fit with their offerings and with their emphasis on providing an integrated, end-to-end solution that best meets the needs of their clients. Using Bright Cluster Manager, JRTI’s customers benefit from easy to use and extremely efficient GPU cluster management, with a single daemon driving all of the functionality required to keep the clusters running smoothly. Their clients will get the most computing from their investment, with far less effort”

JRTI will feature Bright Cluster Manager in a free webinar November 10th: “Eliminating Complexity in Managing GPU Clusters.” For more information, click
http://www.jrti.com/events/index.html

About JRTI
James River Technical, (JRTI) delivers (HPC) solutions to the Academic, Government, and Commercial marketplaces. JRTI is focused on delivering HPC solutions that provide the most cost effective path to research discovery and insight. JRTI's coverage model serves clients throughout North America. http://www.jrti.com/bright

About Bright Computing
Bright Computing is a specialist in cluster management software and services for high-performance computing (HPC). Its flagship product — Bright Cluster Manager — with its intuitive graphical user interface and powerful cluster management shell, makes clusters of any size easy to install, use and manage, including systems combining Intel/AMD processors with GPGPU technology. Bright's minimal footprint enables HPC systems to be utilized to their maximum potential, from departmental clusters to large-scale systems. Bright Cluster Manager is the management solution of choice for many research institutes, universities, and companies across the world, including several Top500 installations. Bright Cluster Manager is an official Intel Cluster Ready component and fully complies with the Intel® Cluster Ready specification. Bright Computing has its headquarters in San Jose, California. http://www.brightcomputing.com

NVIDIA and NVIDIA Tesla are trademarks and/or registered trademarks of NVIDIA Corporation in the United States and other countries. Bright Cluster Manager is a trademark of Bright Computing, Inc. All other trademarks are property of their respective owners.

Mark Blessing
Bright Computing, Inc.
2880 Zanker Road, Suite 203
San Jose, CA 95134
Tel: +1 781 910 2065
info@BrightComputing.com

Jeff Fettig
James River Technical, Inc.
4439 Cox Road
Glen Allen, Virginia 23060
Tel: 804.935.0150
jfettig@jrti.com

This release was published on openPR.