IBM and NVIDIA to supercharge data centre applications

NVIDIAIBM logoIBM and NVIDIA plan to collaborate on GPU-accelerated versions of IBM’s wide portfolio of enterprise software applications — taking GPU accelerator technology for the first time into the heart of enterprise-scale data centres.

The collaboration aims to enable IBM customers to more rapidly process, secure and analyse massive volumes of streaming data.

“Harnessing GPU technology to IBM’s enterprise software platforms will bring advanced, in-memory processing to a wider variety of new application areas,” said Sean Poulley, Vice President of Databases and Data Warehousing at IBM. “We are looking at a new generation of higher-performance solutions to help data center customers overcome their most challenging computing problems.”

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RMI counts on GPU computing for credit risk analysis

RMIBy Edward Lim, Managing Consultant, CIZA Concept

Established in 2006 as a research institute at the National University of Singapore (NUS), the NUS Risk Management Institute (RMI) is dedicated to financial risk management. Its establishment was supported by the Monetary Authority of Singapore (MAS) under its program on Risk Management and Financial Innovation.

In 2009, RMI embarked on a non-profit Credit Research Initiative (CRI) in response to the financial crisis, with the intent to spur research and development in the critical area of credit rating. Besides being just a typical research project, it wanted to demonstrate the operational feasibility of its research and become a trusted source of credit information.

CRI currently covers more than 35,000 companies in 106 economies in Asia-Pacific, North America, Europe, Latin America, Africa, and the Middle East.

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NVIDIA showcases Tegra 4i-based Phoenix reference smartphone

PhoenixNVIDIA has introduced its reference smartphone platform code-named “Phoenix” for the newly-announced Tegra 4i processor. Phoenix is a blueprint that phone makers can reference in designing and building future Tegra 4i smartphones to help get them to market quicker.

Previously codenamed “Project Grey”, the Tegra 4i, is NVIDIA’s first fully integrated 4G LTE mobile processor. It features 60 custom NVIDIA GPU cores; a quad-core CPU based on ARM’s newest and most efficient core — the R4 Cortex-A9 CPU — plus a fifth battery saver core; and a version of the NVIDIA i500 LTE modem optimised for integration. The result is an extremely power efficient, compact, high- performance mobile processor that enables smartphone performance and capability previously available only in expensive super phones.

“NVIDIA is delivering for the first time a single, integrated processor that powers all the major functions of a smartphone,” said Phil Carmack, senior vice president of the Mobile business at NVIDIA. “Tegra 4i phones will provide amazing computing power, world-class phone capabilities, and exceptionally long battery life.”

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