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UCSC-MRAID12G-512 - Cisco CISCO 12GBPS SAS 512MB FBWC CACHE MODULE

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SKU: UCSC-MRAID12G-512
Availability: In Stock
Weight: 142.00 LBS
Shipping: Calculated at Checkout
Maximum cache: 512 MB
Processor family: Intel
Number of processors supported: 4
Motherboard chipset: Intel® C602J
Intel Xeon series: E7-4800, E7-8800
Compatible processor series: Intel® Xeon®
Supported memory types: DDR3-SDRAM, DDR4-SDRAM
Number of DIMM slots: 96
Maximum internal memory: 6 TB
Supported storage drive interfaces: Serial Attached SCSI (SAS), Serial ATA
Storage drive sizes supported: 2.5";Ethernet LAN data rates=10,100,1000 Mbit/s"
Ethernet LAN: Yes
Copper ethernet cabling technology: 1000BASE-T
Ethernet interface type: Fast Ethernet, Gigabit Ethernet
VGA (D-Sub) ports quantity: 1
USB 2.0 ports quantity: 3
Serial ports quantity: 1
Ethernet LAN (RJ-45) ports: 5
PCI Express x8 slots: 6
PCI Express x4 slots: 1
PCI Express x16 slots: 3
ACPI version: 4
AC input voltage: 200 - 240 V
AC input frequency: 50 - 60 Hz
Number of redundant power supplies installed: 4
Number of redundant power supplies supported: 2
Redundant power supply (RPS) support: Yes
Power supply: 1400 W
Storage temperature (T-T): -40 - 70 °C
Operating temperature (T-T): 10 - 35 °C
Operating relative humidity (H-H): 0 - 95%
Width: 19 (482 mm)"
Height: 6.89 (175 mm)"
Depth: 32.7 (830 mm)"
46C566DB-4644-460E-8DA7-038C0B9646AB E06A9D60-42A9-4459-8131-FA3002495928
Superior Performance for Mission-Critical WorkloadsThe Cisco UCS C460 M4 Rack Server offers exceptionally high performance and reliability to power the most compute- and memory-intensive, mission-critical enterprise applications and virtualized workloads.The C460 M4 Rack Server is well suited for the most demanding enterprise and mission-critical workloads, large-scale virtualization, and database applications.Either as a standalone server or in UCS-managed operations, customers gain the benefits of this server's high-capacity memory when very large memory footprints are required. Examples include:- SAP workloads- Database applications and data warehousing- Large virtualized environments- Real-time financial applications- Java-based workloads- Server consolidation

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