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Two immediate initiatives announced, a new client center in
Europe and a Linux on Power development cloud, focus on rapidly expanding IBM's growing ecosystem supporting Linux on Power Systems which today represents thousands of independent software vendor and open source applications worldwide. Specific details of both initiatives include:
Power Systems Linux Center in Montpellier, France: The new center is among a growing network of centers around the world where software developers can build and deploy new applications for big data, cloud, mobile and social business computing on open technology building blocks using Linux and the latest IBM POWER7+ processor technology. The first center opened in Beijing in May. Additional centers are located in New York, NY, and Austin, Texas.
Linux on Power development cloud: To serve the growing number of developers, Business Partners and clients interested in running Linux on Power Systems, IBM is expanding its Power Systems cloud for development. The no-charge cloud service is ramping up its infrastructure to provide more businesses the ability to prototype, build, port, and test Linux applications on the Power platform as well as applications built for AIX and IBM i.
IBM Fellow and Vice President of Power Development
Brad McCredie revealed the new investment in front of more than 1,400 Linux industry leaders, developers and end-users at the Linux Foundation's LinuxCon conference in
New Orleans, noting the monies will be applied to various product research, design, development, ecosystem skills, and go-to-market programs for clients, developers, Business Partners, entrepreneurs, academics, and students.
"Many companies are struggling to manage big data and cloud computing using commodity servers based on decades-old, PC era technology. These servers are quickly overrun by data which triggers the purchase of more servers, creating un-sustainable server sprawl," McCredie explained. "The era of big data calls for a new approach to IT systems; one that is open, customizable, and designed from the ground up to handle big data and cloud workloads."