IBM announced a USD38M investment in a new Asia Pacific Cloud Computing Data Center in Singapore, which will provide businesses with solutions and services to harness the potential of cloud computing.

The new facility will extend IBM’s globally-integrated cloud delivery network with centers in Germany, Canada and the United States; and 13 global cloud labs, of which seven are based in Asia Pacific – China, India, Korea, Japan, Hong Kong, Vietnam and Singapore.

Scheduled to launch in April 2011, the Asia Pacific Cloud Computing 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 enable clients to reap the benefits of business and IT transformation;

  1. increase flexibility and agility;
  2. accelerate time to market;
  3. reduce costs; and
  4. increase security and compliance of public cloud environments.

The first offering to be available at the IBM Asia Pacific Cloud Computing Data Center will be from IBM’s infrastructure as a service (IaaS) cloud portfolio.

Built on an agile cloud infrastructure, the offering 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.

It helps enterprises reduce operational costs; eliminate capital outlays; improve cycle times for faster time-to-market; and improve quality with virtually instant, secure access to a standardized infrastructure as a service environment.

Additionally a compelling catalogue of software from the IBM Software Group and 3rd party companies – will be available in a variety of payment models designed for Mid-Size and Large Enterprises and Independent Software Vendors (ISVs).

A sampling of ideal workloads includes but is not limited to:

  1. Application development;
  2. New projects or quick deployment of existing projects;
  3. Transient applications – demos, training, proof of concept, technology migration;
  4. Multi-site, outsourced development and test, including access from multiple sites, remote locations or
  5. separated external and contractor resources;
  6. Functional and non-functional testing;
  7. Dynamic workloads requiring variable capacity, such as web hosting, application pilots, statistical modeling or research activities.


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