Virtual Power Systems Software Defined Power Selected by SAP

By AIT News Desk On Sep 12, 2018

VPS’ Intelligent Software Defined Power (SDP) Platform Poised to Drive Major Improvements in Data Center and Cloud Power Efficiency

Virtual Power Systems, creators of Software Defined Power® (SDP), has been selected by the SAP® Co-Innovation Lab in Silicon Valley. This move represents the next step to increase power capacity and availability within a data center, following SAP’s successful 90-day proof of concept trial of VPS’ Intelligent Control of Energy® (ICE) platform.

VPS’ groundbreaking SDP platform automatically identifies, aggregates and pools all sources of stranded power within a data center and routes energy on-demand to racks, nodes, workloads or circuits in real time. Using machine learning and predictive analytics, ICE reallocates power according to capacity and availability demands while reducing the cost of data center capital and operational expenses by up to 50 percent annually. Of particular interest to SAP is software defined power’s ability to vertically integrate power profiles and availability allowing for real time automated provisioning of power inline with compute, storage, and network resources. In doing so, Virtual Power Systems closes the final gap in the software defined data center by virtualizing the power control plane.

“We have proven that software defined power effectively recaptures stranded power and makes it available for additional workloads on existing power footprints,” said Steve Houck, CEO of Virtual Power Systems. “With ICE, we are removing the biggest barrier to application and infrastructure deployments facing customers’ today—power costs, availability, and provisioning.”

Because power and cooling typically cost more than the IT equipment it supports, data center owners and cloud operators are struggling to improve energy efficiencies without compromising system availability or reliability. VPS addresses this challenge by utilizing SDP to abstract power controls through a layer of software virtualization. By applying machine learning and data analytics, SDP improves data center management, which encourages growth while releasing power-capacity constraints.