Price: $1,299.00 - $1,199.99
(as of May 27, 2025 06:56:10 UTC – Details)
The SanDisk Professional G-RAID MIRROR drive set to RAID 1 (Mirroring) will allow you to keep a working copy of your valuable content on one drive and will automatically create a duplicate for you on the second drive for data redundancy and peace of mind. For customers who need ultra-reliable storage with data redundancy and enough power to keep up with their demanding workloads, the high-performance, enterprise-class G-RAID MIRROR is the perfect partner.
Up to 36TB of max capacity on two 7200RPM Ultrastar Enterprise-class Hard Drives Inside (1TB = 1 trillion bytes. Actual user capacity may be less depending on operating environment and RAID configuration. For RAID products, storage capacity is based on RAID 0 mode.)
Ships in RAID 1 for peace of mind with transfers rates up to 260MB/s read, or use the hardware RAID selector for up to 510MB/s read in RAID 0 (1 MB/s = 1 million bytes per second. Based on internal testing; performance may vary depending upon host device, usage conditions, drive capacity, RAID configuration and other factors)
PRO-BLADE SSD Mag slot to easily add SSD capacity and performance for fast transfers, editing, and backup without adding to your workspace.
Color-coded cable indicators to connect the right cables and get the most out of your device performance.
High-performance Thunderbolt 3 (40Gbps) interface and USB (10Gbps)
Customers say
Customers find the drive’s build quality positive and appreciate its quiet operation. However, the power saving aspect receives mixed feedback, with some reporting it stops working after time while others find it fast. Setup experiences are mixed, with some finding it easy to set up while others struggle with DOS Prompt style configuration. Moreover, the drive’s reliability is concerning, with multiple customers reporting it fails after a short time. Additionally, the documentation receives criticism for not being great, and one customer mentions an annoyingly bright light symbol.
AI-generated from the text of customer reviews
