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QNAP TS-h1090FU-7302P-128G-US 10 Bay Dual-Processor 1U rackmount U.2/U.3 NVMe All-Flash NAS Built for Latency-Sensitive File Servers, virtualized workloads, Data Centers, and 4K/8K Streams
![](https://ziontechgroup.com/wp-content/uploads/2024/12/61rru872PZL._AC_SL1500_.jpg)
Price: $6,599.00
(as of Dec 15,2024 20:05:11 UTC – Details)
AMD EPYC 7302P 16-core/32-thread boost up to 3.3GHz processor or AMD EPYC 7232/7252 8-core/16-thread processor, boost up to 3.2GHz
10 x U.2/U.2 NVMe PCIe Gen 4 x4 SSDs or economical SATA 6Gb/s SSDs.
Dual 25GbE SFP28 and 2.5GbE RJ45 high-speed connectivity accelerates virtualization, intensive file access, and large backup/restoration tasks.
PCIe Gen 4 slots allow for installing 10/25/40/100GbE adapters, QM2 cards, or Fibre Channel cards to increase application performance.
Optimized collaboration with seamless file sharing and sync
A business-class backup center supporting backup/restore of cloud data and VMs
Create a disaster recovery plan with ransomware protection using QNAP’s storage snapshot solution
Looking for a high-performance storage solution for your file servers, virtualized workloads, data centers, and 4K/8K streams? Look no further than the QNAP TS-h1090FU-7302P-128G-US 10 Bay Dual-Processor 1U rackmount U.2/U.3 NVMe All-Flash NAS.
This powerful NAS is built for latency-sensitive applications, providing lightning-fast performance to ensure smooth operation of your critical workloads. With dual processors and 128GB of RAM, you can count on this NAS to handle even the most demanding tasks with ease.
The 10 bays provide ample storage capacity for your files, while support for U.2/U.3 NVMe drives ensures blazing-fast data access speeds. Whether you’re running multiple virtual machines, serving up high-resolution media streams, or managing a data center, the QNAP TS-h1090FU-7302P-128G-US has you covered.
Don’t compromise on performance when it comes to your storage needs. Invest in the QNAP TS-h1090FU-7302P-128G-US and experience the power and reliability you need for your critical workloads.
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