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FUJITSU Server PRIMERGY Scale out systems

Platform for cloud, HPC, and large scale-out computing

FUJITSU Server PRIMERGY CX scale-out systems are built for cloud computing scenarios, high performance computing, service providers and large server farms. They focus on providing large datacenters with massive scale-out x86 server power while at the same time delivering best economics for server density, energy consumption, heat optimization and lower overall operational costs.


The Fujitsu Server PRIMERGY CX400 M1 helps to meet the immense challenges now facing companies as well as research and development institutions. The system with only 2 height units contains up to four server nodes, 8 Intel® Xeon® processors and 64 DDR4 memory DIMMs, thus providing the very highest performance and energy efficiency levels.

Cool-Central® Liquid Cooling Technology Cool-Central® Liquid Cooling

Fujitsu’s Cool-Central Liquid Cooling Technology for PRIMERGY scale-out servers helps to reduce the power needed for cooling, lowers the investment and operating costs for DC climate control, and enables best Power Usage Efficiencies (PUE). Both FUJITSU Server PRIMERGY CX400 nodes are now available in a special liquid cooling version.

FUJITSU Server PRIMERGY CX420 S1 PRIMERGY CX420 S1 - front view

The Fujitsu Server PRIMERGY CX420 S1 is an out-of-the-box Dual Node cluster server for Microsoft® Windows Server® 2012, enabling small and medium enterprises or multi-site organizations to provide continuous uptime for their business applications and data. Designed for lower IT expertise and limited budgets, it operates as simple as a server, but continuously available as a cluster. It leverages new High Availability features provided with Microsoft® Windows Server® 2012.
Everything you need is condensed into a 2U rack enclosure comprising two server nodes, up to 12 shared hot-plug storage drives and shared power and cooling, thus lowering capital expenses. Yet it enables flexible configuration of processing power, data capacity and networking options to adopt for various software solution scenarios.