Urika-ka-ka-ka! Cray unveils open source big data box

HPC shop goes elastic compute and cloud

Supercomputer shop Cray is branching into analytics with tailored high-end systems packing open-source number-crunching software.

Cray Tuesday unveiled the Urika-GX ticking some of the best-known technology boxes and due in the second-half of 2016.

The Urika-GX is preinstalled with OpenStack and Apache Mesos for cloud and data-center abstraction, Spark and Hadoop for big analytics.

The Cray has been pre-tested and integrated with Hortonworks’ Data Platform take on Hadoop.

Cray has also built its own graph engine software that’ll run in a version of the system called Urika-GD Graph Discovery appliance.

It claims this is 10 to 100 times faster than current graph processing systems and can run on anything from a single to thousands of processors without a hit on performance.

Also, it is capable of crunching “multi-terabyte” data sets containing billions of objects.

The software runs on Intel E5-2600 v4 processors with up to 48 nodes and 1,728 cores. There’s 35TB of PCIe SSD on-node storage and Aries high-speed interconnect from Intel that debuted with Cray’s XC30 super computer in 2013. Also onboard is 22TB of memory.

Systems are available in three configurations: 16, 32 and 48 nodes via a 42U, 19-inch rack.

Cray said the system brings the capabilities of one of its supercomputers with the convenience of an appliance with x86 hardware and open source software.

The Urika-GX systems being used by customers in life sciences, healthcare, and cyber security for “high-frequency insights.”


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