QNAP TDS-h2489FU-R2 24-Bay Dual-Processor All-Flash Rackmount NAS

High-Performance NVMe All-Flash ZFS Storage

Revolutionizing Enterprise Storage with Unmatched Speed and Reliability

The TDS-h2489FU, QNAP's flagship NVMe all-flash storage, is engineered for the most demanding I/O-intensive and latency-sensitive tasks. Equipped with dual Intel® Xeon® Silver 4300 processors and 24 U.2 NVMe Gen 4 x4 SSD bays, it delivers exceptional performance for modern data centers, virtualization, and media production.

Highlights

Dual Intel® Xeon® Silver Processors

• Dual processors provide robust power for handling I/O-intensive and latency-sensitive applications, ensuring efficient processing for demanding workloads.

Optimized SSD Performance and Lifespan

• Features like inline data deduplication, compression, and Pool Over-provisioning maximize SSD performance and lifespan.

High-Speed Connectivity

• Dual 25GbE SFP28 and quad 2.5GbE RJ45 ports enhance performance in virtualization, intensive file access, and large backup/restoration tasks.

Advanced PCIe Gen 4 Slots

• Offers flexibility to install high-speed network cards, QM2 cards, or Fibre Channel cards to boost application performance.

Virtualization and Cloud Applications

• Ideal for virtualization storage, hosting virtual machines, containerized apps, and hybrid cloud applications.

Scalable Storage Design

• Connect SAS 12Gb/s expansion enclosures for petabyte-scale storage capacity, growing with your business needs.

Virtualization and Media Production

• Perfect for server virtualization, VDI, data centers, 4K/8K media streaming, and post-production.

Summary

The TDS-h2489FU stands out as a top-tier NVMe all-flash storage solution, offering unparalleled performance for high-demand applications. Its dual-processor architecture, coupled with the ZFS-based QuTS hero operating system, ensures high data integrity, efficient storage utilization, and excellent performance. Whether for virtualization, data centers, or media production, the TDS-h2489FU is designed to meet the challenges of latency-sensitive and I/O-intensive workloads, making it an ideal choice for enterprises seeking to optimize their data management and application performance.