Building a Dynamic Infrastructure with IBM Power Systems: A Closer Look at Private Cloud TCO

Many companies are finding their need for greater business agility being frustrated by an increasingly costly and rigid IT infrastructure. The culprits are many. Maintenance of the current environment accounts for over 70% of the IT budget, leaving less than 30% available for new projects. Annual operational costs (power, cooling, and labor) of distributed systems and networking exceed their acquisition cost by 2-3X and continue to climb. Utilization rates of these commodity servers hover around 5-15% on average, leading to excess capacity going to waste. Time to provision new servers can be as long as six months, hampering lines-of-business efforts to quickly respond to competitive threats or new opportunities. As a result, LOB units are beginning to go outside the datacenter to public cloud providers like Amazon in hopes of lowering their costs and improving their responsiveness. To avoid disintermediation, IT needs to re-invent the datacenter by moving towards a more dynamic infrastructure. One that takes out cost through the use of virtualization to improve utilization levels with a commensurate reduction in power consumption. One that embraces a private cloud model that uses standardized workloads and service automation to dynamically provision IT services in minutes/hours rather than months (and at lower cost) via self-service portals. Customers can build such an environment using IBM’s Power Systems servers coupled with Tivoli service management software.

This paper examines the Total Cost of Ownership (TCO) for a dynamic infrastructure built around private cloud services and compares it to public cloud alternatives as well as conventional one-application-per-distributed server models. The results show that private cloud implementations built around new POWER7 based servers can be up to 90% less expensive than public cloud options over a three year period and over 70% less than a distributed stand-alone server approach.

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Next generation applications for big data and analytics and cognitive computing are providing unprecedented insights into opportunities, threats and efficiencies. IBM Power Systems is at the forefront of delivering solutions to gain faster insights from analyzing both structured information and unstructured big data. With the secure, flexible and open platform of IBM Power Systems plus solutions and software, organizations can outpace their competitors by delivering faster services, providing differentiated offerings and turning operational cost into investment opportunity.

IBM Power Systems hardware is at the heart of enabling major business and industry transformations fueled by the explosive growth of big data and analytics. Power Systems help organizations drive faster business insights with industry leading performance, scalability and virtualization flexibility.

IBM Power Systems deliver flexibility and choice of operating systems to enable your business to support the next generation applications for big data and analytics and cognitive computing that are transforming how organizations work today. Whether running 1, 2, or all 3 - coupled with PowerVM, they maximize the benefit of Power Systems in your business.

IBM's integrated approach to developing Systems and Systems Software stacks together delivers a platform that supports next generation applications for big data and analytics and cognitive computing on an open platform for choice while providing maximum utilization, availability, and flexibility to help you deliver new advantages to your business.

IBM and IBM Business Partner solutions exploit key benefits in IBM Power Systems’ unique design combined with systems software to provide support for next generation applications for big data and analytics and cognitive computing to providing unprecedented insights into opportunities, threats and efficiencies to your organization.


Over the last five years thousands of clients have migrated to IBM Power Systems. Learn how Power Systems has helped them support next generation applications for big data and analytics and cognitive computing on an open platform for choice while improving business performance, reducing risk, and establishing a platform for growth.

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