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SUN FIRE V490

SUN Fire V490 Full Specifications

The Sun Fire V490 server, powered by the new UltraSPARC IV+ processor and the Solaris Operating System, offers faster performance in a low-cost, high-density foot-print. This server delivers over five times the performance of UltraSPARC III servers, and more than twice the performance of UltraSPARC IV servers — in the same foot-print. With up to four UltraSPARC IV+ chip multithreading (CMT) processors executing eight concurrent threads and up to 64 GB of memory in a dense, rack-optimized, 5U, 24-inch-deep enclosure, the Sun Fire V490 server delivers compute density with enterprise-class levels of throughput at a low-cost server price.

Sun Fire V490 Server
General Details
Manufacturer Sun Microsystems
Model Sun Fire V490 Server
Type 5U ( Rack Mountable )
   
Processor / Chipset
Processor Family UltraSPARC
Processor Model 2.1 GHz UltraSPARC IV+ processors
Maximum Number of Processors 4
Processor number of Cores Dual Core
   
Memory / Cache Memory
Internal Memory Up to 64 GB
Cache Memory L3 Cache Memory
Cache Memory Size 32 MB
   
Storage
Hard Drives Supported Up to Two 3.5 in. x 1.0 in. 15K-RPM FC-AL disks (146-GB capacity), providing a maxi-mum total capacity of 292 GB
RAID Support None
   
Optical Drive
Optical Drive Type DVD-RW
   
I/O & Networking
Expansion Slots 6 PCI Slots
Network Cotroller Integrated GigaBit 10/100-BaseT Ethernet
   
Power
Device Type Power Supply
Power 1600W Redundant Power Supply
   
Environmental Parameters
Min Operating Temperature 41° F
Max Operating Temperature 95° F
Huimdity Range Operating 20% to 80% relative humidity, noncondensing
   
Operating System / Software
Operating System Installed Yes
Supporting Operating Systems Solaris 9 9/05 and Solaris 10 3/05 HW1 OS
   
Miscellaneous
Features Hot-pluggable disk drives Redundant, hot-swappable power supplies, Environmental monitoring and fault detection, Automatic System Recovery (ASR) capabilities, Remote Lights Out Management capability, Dual-loop enabled FC-AL subsystem, Error correction and parity checking for improved data integrit
   
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