In recent years, the world has become reliant on “scale-out” computing environments, composed of vast arrays of multiprocessor servers, to achieve the performance that big data workloads require. This scale-out approach can be costly and complex. Traditional infrastructures simply aren’t built to take advantage of so many processors. They can’t always feed data to the chips fast enough for the computational power to be useful.
IBM PureSystems™ take a different approach. They scale in, driving performance more intelligently—not by adding processors, but by tightly integrating the processor with the memory, storage, networking, management and middleware layers above it. For a tangible example of how this can benefit your business, the IBM PureFlex™ System has been able to achieve up to twice the business application performance as conventional approaches. Also, IBM PureApplication™ System can be up and running and ready for
applications in under 4 hours.
Today, the world will meet the latest addition to the PureSystems family – a new system designed to simplify the delivery of data services. It’s called IBM PureData System. It integrates specialized hardware, middleware and software optimized for transaction processing, operational analytics and deep analytics workloads. With IBM PureData™ System for Transactions, you can consolidate more than 100 databases onto one system.
To find out more on why IBM PureSystems is a smarter approach to IT, explore this image courtesy of Flickr!
Be sure to check out our next event Expert IT 2012 October 9th when a new PureSystems offering will be unveiled!
 Up to 2X performance of business applications based upon testing of IBM Storwize v7000 “Easy Tier” on previous generation IBM system. IBM Storwize v7000 is included in IBM PureFlex System.
 Based upon testing of the IBM PureApplication System W1500-96 with time measured from powering on the system to when
it is ready to support application deployments.
 Based upon IBM PureData System W1500 Large (384 cores, 6.1 TB RAM, 74.4 TB capacity)