Research Cloud Powered By SeaMicro, OpenStack

The University of Texas at San Antonio (UTSA) has deployed AMD SeaMicro SM15000-OP servers as the foundation infrastructure for a new computing cloud, powered by OpenStack, that will be used for cutting edge research and computational biology.

John Rath

April 12, 2013

1 Min Read
Research Cloud Powered By SeaMicro, OpenStack
AMD’s SeaMicro SM15000 microserver chassis

seamicro-sm15000

seamicro-sm15000

The AMD SeaMicro SM15000 many-core server has been deployed by the University of Texas at San Antonio in a research cloud.

AMD announced that The University of Texas at San Antonio (UTSA) has deployed SeaMicro SM15000-OP servers with a combined 1,024 AMD Opteron processor cores in 20 rack units. The servers are the foundation infrastructure for a new computing cloud, powered by OpenStack, and will be used for cutting edge research and computational biology.

For a university research staff, procuring and managing computing and storage infrastructure creates overhead that takes up valuable time and energy. The new SeaMicro deployment allows the broader UTSA community to realize the benefits of cloud computing by making it more widely available and easier to use. The SeaMicro SM15000 server has been certified to be Private Cloud ready, and Rackspace Private Cloud Software will be deployed at UTSA to provide a flexible and efficient computing cloud.  This will serve as the basis for a managed, private computing and storage cloud, accessible by the entire UTSA research community.

“As the computing backbone of UTSA’s cloud infrastructure, AMD’s SeaMicro SM15000 server will provide researchers tremendous computing power and storage to help them make breakthrough discoveries in a variety of disciplines,” said Dhiraj Mallick, Corporate Vice President and General Manager, Data Center Server Solutions, AMD. “This infrastructure will help the university attract top talent, increase competitiveness for research funding, and advance towards designation as a premier research institution. Whether the project is to do a large scale study of proteins, simulate high throughput biochemical systems, or analyze computational fluid dynamics, the SM15000 server provides a powerful and flexible cloud computing platform.”

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