FatTwin™ Server Solution – Best TCO with Highest Performance-per-Watt/per-Dollar
The FatTwin™ is the latest addition to Supermicro’s evolving line of Twin Architecture SuperServer® solutions. The 4U FatTwin greatly expands compute and storage capacities beyond Supermicro’s existing 2U Twin2™ and 1U Twin™ SuperServer® systems to achieve increased performance with lower power consumption. By virtue of its shared components the FatTwin improves cost-effectiveness and reliability, while its modular architecture makes it flexible to configure and easy to maintain.
The FatTwin is available in high-density 8 / 4 / 2 hot-plug system node configurations with a choice of memory capacities, hard disk drives, power supplies, front or rear I/O, PCI and networking options and more. Its high efficiency, highly effective shared cooling architecture allows the FatTwin to operate in high-temperature, free-air cooled environments up to 47°C, providing considerable cost savings and improved TCO. Versatile configurations allow the FatTwin to be optimized for many different environments including Data Center, Cloud Computing, and HPC; Engineering, Research, and GPU projects; File and Storage Server deployments; and General Server and Enterprise Server applications.
The term Fat Twin is similar to other well-known IT industry expressions. For example, A Fat Tree Is a network topology that can be tailored to efficiently use any bandwidth made available by packaging and communications technology which has been widely used in the HPC environment. A Fat Client on the other hand is a computer in a client-server architecture that provides rich functionality independent of the central server. In this same manner, the FatTwin is a powerful yet flexible and highly scalable server system that provides extremely rich computing functionality representing the highest levels of energy efficiency and performance. With these enormous advantages, the Supermicro FatTwin represents a revolution in green computing designed to support customers’ critical applications and also to reduce Data Center TCO and help preserve the environment.
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