For Financial Services, it’s HPC to the Rescue

Over at the Cray Blog, Austin Trippensee from YarcData writes that, as Big Data is begins to have a major impact on the financial services sector, high performance computing systems have incredible potential to make the difference between winning and losing.

Today, most financial services organizations try to solve all of their big data challenges using either grid or cluster technologies. One popular approach involves the use of Hadoop running on commodity x86-based clusters. At Cray we’re taking a different approach, leveraging our supercomputing technologies to improve I/O performance, disk utilization and efficiency. Additionally, we provide the largest globally shared-memory environment for graph analytics, and an innovative cluster appliance that can leverage a parallel file system to improve performance, reduce data center footprint, and lower on-going maintenance and support costs for Hadoop-based implementations.

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