Capacity :- 64GB Module. This success has been built on a number of core principles :-. A huge database of information allows us to provide upgrades for almost any computer. This focus has allowed us to build a knowledge base that is second to none.
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CISCO UCS UCSC C220 M4S 8SFF 2x Xeon E5-2690 V4 128 GB RAM 2x 960GB 6G SATA SSD Rails. Manufacturer Part Number UCSC C220 M4S 8SFF. Installed HDD 2 x 960GB 6G SATA SSD. The Cisco® UCS C220 M4 SFF rack server is the newest 2-socket, 1U rack server from Cisco, designed for both performance and expandability over a wide range of storage-intensive infrastructure workloads from web serving to distributed database.
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Height (Rack Units): 1U. Cisco DNA Center is available as a physical appliance, with the DNA Center ISO image pre-installed and tested. You can deploy this appliance within your network in one of two modes.
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Manufacturer Part Number UCSC C220 M4S 8SFF. The Cisco® UCS C220 M4 SFF rack server is the newest 2-socket, 1U rack server from Cisco, designed for both performance and expandability over a wide range of storage-intensive infrastructure workloads from web serving to distributed database.
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Compatibility: These trays are compatible with most CISCO 2.5" SAS/SATA Hard Drives. Known Models: CISCO UCS SERVERS C240 C220 C460 M2/M3/M4. This Tray is for 2.5" HDD,not for 3.5" HDD. 1x 2.5" HDD Tray Caddy.
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Parking available during collection, park on double front white garage while collecting order. We will resolve the problem directly with you. As warranty for parts claim will be difficult to cover outside UK.
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Manufacturer Part Number UCSC C220 M4S 8SFF. The Cisco® UCS C220 M4 SFF rack server is the newest 2-socket, 1U rack server from Cisco, designed for both performance and expandability over a wide range of storage-intensive infrastructure workloads from web serving to distributed database.
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Manufacturer Part Number UCSC C220 M4S 8SFF. The Cisco® UCS C220 M4 SFF rack server is the newest 2-socket, 1U rack server from Cisco, designed for both performance and expandability over a wide range of storage-intensive infrastructure workloads from web serving to distributed database.
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