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. The new POWER7 Systems™ from IBM are not simply servers, they're fully integrated systems with the ability to run hundreds of virtual servers, helping you drive up to 90% utilization. These next-generation systems integrate massive parallel processing, throughput computing and analytics capabilities to optimize for the complex workloads and dynamic computing models of an increasingly data-driven world.
For all the chest-beating vendors engage in to affirm their “superior” capabilities to support enterprise-class UNIX and Linux workloads, one company is setting itself apart from the pack. IBM’s POWER7 announcement demonstrates the confidence of a vendor in firm control and thinking far ahead of its peers.
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. To better understand root causes of cancer and other diseases, Rice University uses POWER7 Systems 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.