Advanced Computing in the Age of AI | Saturday, April 20, 2024

Servergy and SUSE Partner 

Cleantech IT innovations company Servergy Inc. announced today that SUSE is now a go-to-market partner for its 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. The announcement was made this week at SUSECon in Lake Buena Vista, Florida where Servergy is continuing to build interest in the recent launch of its new class of Cleantech Servers. Servergy is a SUSECon Silver Sponsor.

“The unparalleled combination of SUSE-branded PowerLinux software and services for cloud, virtualization and enterprise operating systems and the unique value proposition of Servergy's Cleantech Architecture will give customers very high I/O scale-out capabilities when refreshing their data centers with clean and green infrastructure,” said Bill Mapp, Servergy Chairman and CEO.

Servergy and SUSE work together to build a wide variety of solutions for top global customers, who are implementing Linux-based scale-out solutions and can benefit from Servergy’s hyper-efficient, clean and green offering that literally pays for itself. The Cleantech Server addresses rising data center costs by dramatically reducing server power, cooling, space, weight, water and carbon footprints by up to 80 percent, while increasing compute and I/O density by up to 16 times.

"Servergy's recent launch of its high I/O, clean and green PowerLinux servers has opened up significant new global opportunities for partners like us," said Mark Longwell, director of OEM Solutions at SUSE. "Having SUSE Linux Enterprise Server for Power on Servergy Cleantech Servers will help us meet customer demand for hardware solutions that run on Linux, address growing power, space and cooling constraints, and can scale-out for high I/O applications running on cloud and big data."

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