Rackwise, Inc. has announced that it has signed an additional renewal and expansion of its contract with the SLAC National Accelerator Laboratory in Menlo Park, CA, (“SLAC”). SLAC is operated by Stanford University for the U.S. Department of Energy Office of Science.
SLAC is home to a two-mile linear accelerator—the longest in the world. Originally a particle physics research center, SLAC is now a multipurpose laboratory for astrophysics, photon science, accelerator and particle physics research. The research institution has been using Rackwise DCiM solutions since 2009. SLAC is currently running the 3.5 release of the Rackwise software to model their data center. They plan to expand their use of the product to manage and model their complete power chain in the near future to better manage their capacity issues and achieve additional return on investment.
“We are extremely pleased that our relationship with SLAC continues to expand as they rely on Rackwise for their data center infrastructure management needs. We are proud to support one of our nation’s most venerable and revered research organizations in their efforts to optimize their data center operations and costs. while providing IT resources critical to their research objectives.,” said Guy A. Archbold, CEO, Rackwise, Inc.
Archbold continued, “The increasing complexity of today’s data computing environments presents unique challenges for information technology executives in both the private and public sectors. Higher density computing configurations, fixed energy resources and a multitude of other factors are driving the need for new and innovative IT management solutions, including critical decision support tools incorporating expanded reporting and modeling metrics. Our Rackwise DCiM products and services are emerging as solutions of choice within the global community of data center managers and IT professionals as powerful, state-of-the-art tools for real-time data management to responsibly meet their evolving IT infrastructure requirements, providing progressive incremental value through expanded utilization of available features and functionality.”
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