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Toshiba to demo big data analytic platform technology

8th August 2016
Nat Bowers
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At this week’s 2016 Flash Memory Summit in Santa Clara, USA, Toshiba Electronics Europe will demonstrate Flashmatrix, an all-flash big data analytic platform. Flashmatrix is well suited for the growing need for real time/streaming analytics in distributed systems targeted at high data intensive applications in manufacturing, finance, medical and security.

This new breed of Superconverged infrastructure features integrated compute, storage and network elements optimised for high performance. With its unique architecture of NAND flash memory arranged in a matrix, Flashmatrix enables multiple data sets to be accessed in parallel and scaled linearly. All of the NAND flash memory is shared by every CPU allowing for flexibility and high performance. The entire platform is in a 2U enclosure and offers linear rack scale scalability. Flashmatrix is optimally designed for low power consumption.

Paul Rowan, General Manager, SSD Business Unit, Toshiba Electronics Europe, commented: “Big data processing can face multiple problems in scaling, latency and power as the customer demands increase. Flashmatrix addresses each of those issues to create a system that is a true solution for analytic processing by offering low-power-consumption, parallel processing to reduce system latency, card level scaling and a large non-volatile memory space shared by all CPUs. Flashmatrix continues Toshiba’s mission to persistently develop innovative technologies to make the best use of NAND flash memory.”

Toshiba will showcase Flashmatrix at booth 407 at the 2016 Flash Memory Summit, taking place 9th to 11th August  in Santa Clara, California. Toshiba’s Shigeo (Jeff) Ohshima, Technology Executive, Memory Design and Application Engineering, and Yoichiro Tanaka, Sr. Fellow, will also be keynoting at the Flash Memory Summit with their presentation, New 3D Flash Technologies Offer Both Low Cost and Low Power Solutions, on Tuesday, August 9th from noon – 12:30 p.m. PT.

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