"Between 4K videos, raw photo files, game libraries, and endless work documents, running out of storage space feels like a monthly crisis. The Seagate expansion 20TB external hard drive solves this problem in one massive swoop, and right now, Amazon has slashed the price from $499 down to just $229 for both Prime and non-Prime members. This early Black Friday deal beats even Seagate's own website pricing, and here's the kicker: you're paying the same price you'd normally fork over for a 10TB drive."
"This is not a portable drive you will slip into your pocket: The Seagate 20TB device is a desktop unit that requires its own power supply which gives it the muscle to deliver consistent performance for your bulkiest files. Inside the black enclosure lives a 7200 RPM Seagate BarraCuda drive with a 512MB cache, pushing read speeds around 246-257 MB/s and write speeds of 239-256 MB/s according to real-world testing."
"The drive connects via USB 3.0 using a micro-USB port and it comes pre-formatted in exFAT so both Windows and Mac machines recognize it immediately. Just plug in the included 18-inch USB cable and 18W power adapter, and you're ready to drag and drop files without installing a single piece of software. Mac users who want to use Time Machine will need to reformat the drive, but that's a quick one-time setup."
Seagate Expansion 20TB is a desktop external hard drive that requires an 18W power adapter and is not pocket-portable. It houses a 7200 RPM Seagate BarraCuda drive with a 512MB cache, delivering real-world read speeds around 246-257 MB/s and write speeds near 239-256 MB/s. The drive connects via USB 3.0 using a micro-USB port and ships pre-formatted in exFAT for immediate Windows and Mac recognition; Time Machine requires reformatting. Typical transfers include a 50GB game in about three to four minutes and large photo-library backups without long delays. Included are Rescue Data Recovery Services and international power adapter plugs, with a one-year limited hardware warranty.
Read at Kotaku
Unable to calculate read time
Collection
[
|
...
]