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POWER7 – redefining the benchmarks against which performance is measured

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Redefining the benchmarks against which performance is measured

We live on a planet where data is exploding at an annual compound rate of 57% and nearly 6 terabytes of information are being exchanged over the Internet every second. Ironically, the average server in the average business runs at only 10% utilization. Scratch the surface and you’ll find that there are only two kinds of systems—those that can adapt to the needs of a smarter planet, and those that can’t.

A new kind of system performance is needed to respond to today's business challenges. Performance that provides breakthrough agility to capitalize on new opportunities; performance that provides a foundation for growth while managing business risk; performance that helps companies do more with less. Power Systems helps businesses meet these new performance challenges. Power Systems based on POWER7® processor technology help companies deliver new services faster, deliver higher qualities of service, and deliver services with superior economics.

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Power is workload optimizing systems

Not all workloads are equal. For example, a large customer database requires different resources than a collaborative application. POWER7 Systems are designed to automatically optimize the performance and capacity of individual virtual machines or across the entire system to meet the specific demands of every workload running on the system.

Watson is an example of a workload optimized system based on IBM DeepQA and POWER7 processor technology that plays Jeopardy!, answering questions posed in natural language over a nearly unlimited range of knowledge. The same IBM Power 750 servers used for Watson can also be deployed in workload optimized systems that help solve practical business challenges across many industries, such as health care, financial services, and call center environments.

Rice using POWER7™ Systems for Biomedical Research

To better understand root causes of cancer and other diseases, for example, Rice University uses workload optimized systems based on POWER7 to deliver a faster approach for shared research computing in real-time. These systems can provide increased flexibility and efficiency in analysis across a range of problems and can handle high levels of parallel processing of data like genomic sequencing, protein folding and drug modeling. To the researchers at Rice University, it’s not simply a more versatile server; it’s a giant leap towards understanding cancer.

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