TEAMGROUP QX 4TB 3D NAND QLC 2.5 Inch SATA III Internal Solid State Drive SSD R/W Speed up to 560/500 MB/s 1000TBW Laptop & PC Desktop T253X7004T0C101

Price: $204.99 - $192.99
(as of Feb 12, 2025 19:35:45 UTC – Details)
From the brand
TEAMGROUP 2.5″ Sata Solid State Drives
A must-have for beginners or anyone who wants to replace their traditional mechanical hard drive.
*AX2 series
256GB / 512GB / 1TB / 2TB / 512GB 2 Pack Set / 2TB 2 Pack Set
*EX2 series
1TB / 2TB / 8TB / 16TB
*QX series
2TB / 4TB
Explore more TEAMGROUP SSD
Founded in 1997 in Taiwan, Team Group Inc. possesses professional research and development capabilities, high quality products, rapid productivity for memory products.
TEAMGROUP produces a veriety of memory modules, memory cards, USB flash drives, solid state drives, peripheral series, mobile accessories, and industrial applications.
*TEAMGROUP brand
Made for office workers- Necessary, Stability, Trustworthy. High-Quality IC with Stable Performance, makes PC upgrade easy and safe.
*T-FORCE brand
Made for gamers- emphasizes performance, quality, and strong design style.
*T-CREATE brand
Made for creators- emphasizes stability, performance, and clean design style.
More from the brand
Smart Dual Cache and powerful performance
A monster that can defeat mechanical hard drives
Ultra-high durability. Stable and reliable
Supports SLC Caching technology and enjoys a smooth user experience with a fast read/write speed of up to 560/500MB/s
Manufacturer Warranty: 3-year or TBW (Terabytes Written) limited warranty. Free Technical Support and Customer Service on TEAMGROUP’s official website. The definition and conditions of TBW are based on the JEDEC standard.
Customers say
Customers find the computer drive offers good value for the price. They say it works well, has fast transfer speeds, and is a good budget brand. Installation is easy, and the drive quality and storage capacity are appreciated. However, some customers have reported issues with drive failure and there are mixed opinions on reliability.
AI-generated from the text of customer reviews