$36,050.00 cheaper than the new price!!
Management number | 202053308 | Release Date | 2025/09/19 | List Price | $36,050.00 | Model Number | 202053308 | ||
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The Buffalo TS71210RH6404 is a rackmount network attached storage server designed for teams that need dependable, high-capacity data management without sacrificing speed. It arrives with 64TB of storage supplied by four pre-installed 16TB enterprise hard drives, and its 12-bay chassis leaves room for eight additional drives whenever you are ready to expand.
An Intel Xeon D-1713NT quad-core processor works alongside 16GB of ECC DDR4 memory to keep large file transfers, backups, and virtual machines moving smoothly. If workloads increase, the memory can be expanded up to 64GB, so performance grows with your organization instead of holding it back.
Four native 10GbE ports handle demanding traffic such as video editing, database access, and virtualization, letting multiple users work at full speed over the network. Two PCIe 4.0 x8 slots give you the option to add even more network interfaces or future expansion cards, making the system adaptable as new requirements emerge.
The server supports RAID levels 0, 1, 5, 6, 10, and JBOD, allowing you to balance capacity, redundancy, and performance to match your data protection strategy. Whether the priority is raw speed for media production or fault tolerance for critical backups, the configuration can be adjusted in minutes.
Data security is addressed at several levels. Hardware-based 256-bit AES encryption protects files at rest, two-factor authentication guards against unauthorized access, and Btrfs snapshots create near-instant recovery points that minimize downtime after accidental deletions or ransomware events.
This makes the TeraStation an ideal fit for IT departments, creative studios, and growing businesses that rely on centralized storage for shared projects, virtual machines, or comprehensive backup plans. Its mix of capacity, speed, and protection lets administrators focus on the work that drives the business rather than worrying about where the data lives.
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