Servergy Raises $20 Million Funding, Adds Partner
Maker of hyper-efficient servers, Servergy, Inc. has raised $20 million in funding for the Q4 commercial launch of its new class of Cleantech Servers.
November 13, 2013
Maker of hyper-efficient servers, Servergy, Inc. has raised $20 million in funding for the Q4 commercial launch of its new class of Cleantech Servers. Servergy is an IBM Business Partner that has created a new class of clean and green PowerLinux servers.
“We feel blessed by the strong confidence the investment community and market has shown in Servergy and our breakthrough new class of servers,” said Bill Mapp, Servergy chairman and CEO. “We have our patents in place and a top-notch team of professionals on board. Together with our top global partners, we look forward to launching our new Cleantech Server line that helps solve some of the toughest power, real estate and cost challenges faced by data centers and companies who are grappling with the explosion of big data, cloud, caching and storage applications, globally.”
The private funding subscription, for the U.S. manufacturer, was offered to accredited investors by The Williams Financial Group.
The funding round enabled the company allowed to gear up with infrastructure and personnel, to drive the sales strategies and engineering completion for its new hyper-efficient Cleantech Servers. Engineered using Servergy’s patented Cleantech Architecture, Cleantech Servers are positioned as a "clean and green" high-density, high I/O accelerator for I/O intensive workloads, such as big data, the cloud, caching and storage applications.
The company is accepting pre-orders for expected delivery beginning in late 4Q2013.
Partner Announced
This week, Servergy announced that SUSE is now a go-to-market partner for Servergy's new PowerLinux Cleantech Server line and its new CTS-1000 servers. The partnership will offer Servergy’s customers the advantages of SUSE’s PowerLinux expertise and support, along with its scale-up and scale-out options, and new capability to run workloads in the cloud and virtually.
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