In the banking, financial services and insurance industries, data governance are eternally daunting challenges, and now data management consultancy Vaco and NEC X have integrated with high performance computing to take on PII (personal identification information) redaction, GDPR and other complex data privacy workloads faced by BFSI organizations.
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NEC X , the “innovation accelerator” that fast-tracks NEC Corp.’s emerging technologies, brings to the joint reference design its SX-Aurora Tsubasa platform, which uses vector processing to provide HPC-class performance (2.45 teraflops/second throughput) on a compact PCIe x16 card, according to Robbert Emery, director of technology marketing/business development.
SX-Aurora Tsubasa fits hardware environments ranging from workstation towers for a single card to rack-mounted servers for multiple cards, according to NEC X. Its Vector Engine (VE) processor was the first implementation of one processor with six HBM2 memory modules using chip-on-wafer-on-substrate technology, delivering memory bandwidth of 1.2 TB/s. Emery told us the system utilizes the MPI interface between cards and Infiniband between multiple servers.
Vaco brings its Computing Framework (CCF) with algorithms built for GDPR, CCPA, ISO/IEC 38500 or other regional data protection regulations. The companies said the offering can be scaled by number of VE cards as needed to process large data sets in real time for compliance workloads.
Sudhir Sahu, Vaco partner who leads the consultancy’s banking and financial services practice, told us CCF software has been built on top SX-Aurora Tsubasa “specific to DII… and we have built a GDPR compliance rules engine using and
Compounding the challenge is scale – data volumes beyond the processing capacity of conventional servers, Sahu said. Banks send and receive millions of emails per day, “so without the combination of this hardware power that NEC X has built, and the
Developed over the past six months, the platform has been implemented by two early, undisclosed, adopter banks, Sahu said. The integration is intended to provide a solution that’s “80 percent ready for deployment out of the box.” The remaining 20 percent is custom programming required to comply with data governance regulations within customers’ specific countries. The offering is intended to improve precision of financial rules and models, accelerate documentation generation to meet privacy and regulatory needs, enable
“This partnership combines our affordable and scalable
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