With NAND flash memory arranged in a matrix, Flashmatrix enables multiple data sets to be accessed in parallel and scaled linearly.
Toshiba's all-flash, big data analytic platform technology, Flashmatrix, is well suited for the growing need for real time and 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 2U enclosure and offers linear rack scale scalability. Flashmatrix is optimally designed for low power consumption.
“Big data processing can face multiple problems in scaling, latency and power as the customer demands increase,” said Ralph Schmitt, executive of System Development at Toshiba America Electronic Components, Inc. “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."