Products reviews
IBM 40K1044 (146 GB)$200.00 to $635.00
Tags:ibm, 40k1044, 146, gb, | Western Digital WD1600BEVS (160 GB)$45.00 to $75.00
Tags:western, digital, wd1600bevs, 160, gb, | IBM 90P1313 (73 GB)$45.00 to $130.00
Tags:ibm, 90p1313, 73, gb, |
Hewlett Packard 432095-B21 (72 GB)

The Hewlett Packard (432095-B21) 72 GB SAS Hard Drive is fully compatible with PC systems.The Hard Drive connect by: SAS for Internal utilization. Spinning up to 15000 RPM and offering capacity as large as 72 GB
Western Digital Caviar SE16 WD2500KS (250 GB)

These reliable drives are lightning fast, but they still deliver technologically advanced acoustics and cool operation. The one-two performance punch of 300 MB/s transfer rate, state-of-the-art performance for SATA drives, and 16 MB cache make the WD Caviar SE16 family the fastest desktop-class hard drives available. These SATA II drives feature a transfer rate three times faster than EIDE and twice as fast as SATA 1. Cool operation means the highest reliability even in high-heat environments such as personal video recorders. That's why these drives, the coolest on the market, are the drive of choice for the world's leading consumer electronics manufacturers as well as the world's leading PC makers.Minimize
Fujitsu MAT3147NC (147 GB)

Fujitsu's latest generation of Enterprise SCSI Hard Disk Drives offer capacities of up to 300GB in a 1-inch high, 3.5-inch form factor. The MAT SCSI series is the latest generation Hard Disk products from Fujitsu offering low profile, high speed and high capacity to high performance enterprise computing applications.
Seagate Barracuda 7200.10 ST3750640AS (750 GB)

With up to 750GB of pure digital storage in a single drive, the Barracuda 7200.10 is the largest, most reliable disc drive around. New perpendicular recording technology supports vertically stored data bits, enabling increased areal density and dependability for workstations and performance PCs. Additionally, the Barracuda 7200.10 is available in SATA 3Gb/s, SATA 1.5Gb/s and ATA/100 interfaces.Minimize