By Justin Lee, March 07, 2011
An image of IBM's LEED Gold-certified cloud data center in Raleigh, North Carolina
(WEB HOST INDUSTRY REVIEW) -- IBM (www.ibm.com) announced on Monday it has invested $38 million in a new IBM Asia Pacific Cloud Computing Data Center in Singapore.
The announcement comes a couple months after IBM revealed it would be collaborating with China-based Range Technology Development to build the largest cloud computing data center in Asia, located in China's Hebei province.
The new facility will extend IBM's globally via its integrated cloud delivery network with centers in Germany, Canada and the United States.The company also has 13 global cloud labs, of which seven are based in Asia Pacific, including China, India, Korea, Japan, Hong Kong, Vietnam and Singapore.
Set to open in April, the new data center will make available IBM's comprehensive cloud services and technology portfolio via the company's cloud delivery infrastructure.
These services are designed to help clients increase flexibility and agility, accelerate time to market, reduce costs, and increase security and compliance of public cloud environments.
"IBM's investment in our Asia Pacific Cloud Computing Data Centre in Singapore reflects the increase in demand for cloud solutions and services by our clients in the region," says Paul Moung, VP of cloud computing at IBM Growth Markets. "The Centre will provide the highest security standards and capabilities to minimize capital expenditure and reduce operational costs."
The first offering to be available at the IBM Asia Pacific Cloud Computing Data Center will be from IBM's infrastructure as a service cloud portfolio, which is designed to provide rapid access to security-rich, enterprise-class virtual server environments and is well suited for development and test activities and other dynamic workloads.
IBM Software Group and third party companies will also offer a suite of software with a range of payment models designed for mid-size and large enterprises and ISVs, including application development, functional and non-functional testing, and dynamic workloads
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