5th Sep 2026, 11:11 PM
QNAP TVS-h1277AX-R5-16G 12-Bay Desktop Hybrid NAS
Price may vary by location, shipping cost, and availability.
Lowest ever
$3,449.00
Highest: $3,449.00
Average: $3,449.00
Lowest: $3,449.00
Price History Graph
Offer Price Prices
Lowest: -
Average: -
Highest: -
Price History Information
You can check the price history of QNAP TVS-h1277AX-R5-16G 12-Bay Desktop Hybrid NAS here. This product's current Price in USA is $3,449.00. The average and highest prices are $3,449.00 and $3,449.00 respectively.
| Lowest Ever Price | $3,449.00 |
|---|---|
| 4th Sep 2026 | |
| Average Price | $3,449.00 |
| Based on 7 days price tracking | |
| Highest Price | $3,449.00 |
| 4th Sep 2026 | |
Price History of All Variants of QNAP TVS-h1277AX-R5-16G 12-Bay Desktop Hybrid NAS
Current Price in USA
| Price | $3,449.00 |
|---|
Product Information
Details
| Product Name | QNAP TVS-h1277AX-R5-16G 12-Bay Desktop Hybrid NAS |
|---|---|
| Store Product Code | B0H535V5NH |
| Store Name | amazon.com |
| Brand | QNAP |
| Category | Devices |
| Product Manufacturer | QNAP |
| Model Number | TVS-h1277AX-R5-16G-US |
| Color | Black |
| Size | 12 Bay |
Features
- Serious Power, Compact Footprint: AMD Ryzen 5 7000-series 6-core/12-thread CPU (bursts to 5.1 GHz) with DDR5 handles databases, multitasking, and busy teams with ease
- Virtualize Without Limits: GPU pass-through and up to 192 GB DDR5 (optional ECC) run multiple VMs and containers, perfect for dev/test labs and app hosting
- Editor-Grade Speed: 4 U.2 NVMe Gen4 flash bays and dual 10GbE let you edit and stream 4K/8K footage directly from the NAS, no copying to local drives
- Smart Hybrid Storage: 8 x 3.5 SATA bays for capacity plus 4 x 2.5 U.2 NVMe slots for speed, balancing big archives with instant-access projects
- Expand & Protect: 3 PCIe Gen4 slots add 25GbE or graphics cards, while QuTS hero ZFS snapshots keep your data safe from ransomware and accidental loss
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* Predictions is created on based of past prices and trends, it does not guarantee that it will happen. These are just prediction for theoretical information only.