To respond effectively to dynamic market conditions, enterprises need to be able to quickly generate and act on intelligence. This has led many to shift to in-memory databases that help enable high-performance computing, faster application response times, and real-time analytics. And the responsiveness of these memory-centric workloads is tied directly to the underlying server infrastructure.

As organizations become more data-centric, the underlying infrastructure used to collect, synthesize, transform, and analyze this data grows in importance. The most effective server platforms for memory-centric workloads can house large amounts of data in close physical proximity to compute. An architecture that can balance cores to large memory footprints, closely connected to high-performing local storage, is ideal for these business-critical workloads.

Read More ...