QNAP TDS-h2489FU 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.
