nlyte Software

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nlyte Software (formerly Global DataCenter Management) is a leading provider of data center infrastructure management (DCIM) solutions. We offer the most complete, performance-based solution for DCIM, combining next generation software, proven best practices, and unsurpassed expertise in data center management. We enable intelligent capacity planning resulting in the most efficient use of power, cooling and space through the optimal placement of data center assets.

The nlyte solution provides a rapid ROI by reducing data center operating expenses by up to 20% annually, reducing the time to deploy new assets by up to 50%, prolonging data center life by up to 5 years and helping attain a power usage effectiveness (PUE) rating of 2.0 or less.

Founded by data center professionals in 2003, nlyte Software is headquartered in Menlo Park, California.

The nlyte suite creates a complete data center management environment for improved business agility – From the point you set your goals through the discovery of what you have, visualizing where your assets are, modeling and controlling changes, reporting on the results and finally predicting your future — The nlyte suite gives you the insights and tools you need to connect these processes, keep a steady pulse on your data center, optimize resources and improve business performance.

nlyte 6.0 is a data center infrastructure management (DCIM) solution. It offers intelligent capacity planning which enables efficient use of power, cooling, and space through the optimal placement of data center assets.

nlyte provides a complete solution for data center infrastructure management. The core product provides a basic set of modules that lets you Visualize the physical infrastructure, and Model the Move, Add, Change (MAC) initiatives across your data center estate. We also include a number of fully integrated optional modules to support the other steps of the nlyte process cycle, including the ability to automatically Discover IT assets, Control data center processes and personnel, Report on progress using integrated analytic capabilities, and a trending and forecasting module to Predict capacity resources well into the future.

 

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