QNAP TS-262 4GB RAM 2 Bay Desktop NAS Expansion Enclosure

Servers Direct £409.97 £429.97 Go to Servers Direct First seen in Apr 2024
Price Tracked On This Product
Highest price was seen £434.97 on 17 Apr 2024
Lowest price was seen £431.96 on 18 Apr 2024
Average price is £431.96 base on 2 price changes
Most recent price is £409.97
Description
QNAP TS-262 SKU TS-262-4G. Description QNAP TS-262 4GB RAM 2 Bay Desktop NAS Expansion Enclosure .   Intel Dual-Core 2.5GbE Multimedia NAS with M.2 PCIe slots and PCIe expandability A fast and vast private cloud storage with a range of multimedia and file management applications the TS-262 is ideal for home users to maximize their digital lifestyle. Files data and multimedia saved on the TS-262 can be accessed from all your connected devices including phones computers and smart TVs. A 2.5GbE port and HDMI™ 2.1 port come as standard allowing you to enjoy lag-free multimedia streaming throughout your home and directly on your TV. The TS-262 can be geared up to fit future needs supporting two M.2 PCIe slots for Qtier auto-tiering storage technology and can be easily expanded to fit growing data needs. The TS-262 also supports Edge TPU allowing you to easily organize your photos based on facial and object recognition with the QuMagie app. 2.5GbE portImmediately multiply your network speed by 2.5 times while using existing CAT5e cables. HDMI™ port4K media playback and real-time transcoding; directly watch videos using HDMI™ 2.1 (4K @60Hz) output. AI-powered image recognitionSupports Edge TPU (optional purchase) for supercharged AI-powered image recognition . Dual M.2 PCIe slotsAttain greater NAS performance by installing M.2 2280 NVMe PCIe SSDs (sold separately). PCIe slotInstall a PCIe Gen3 x2 card to expand the core functionality of the TS-262 including a Multi-Gig 10GbE/5GbE network card a USB 3.2 Gen 2 (10Gbps) card or a Wi-Fi 6 network card. Expand storage capacityFlexibly scale your total storage capacity by connecting USB expansion enclosures (please see the compatibility list). Upgrade your home network to 2.5GbEWi-Fi 6 and 5G are becoming the new normal for networking and there’s no reason why your home wired network shouldn’t also get a boost. The TS-262 comes with single 2.5GbE RJ45 LAN port which supports existing CAT5e cables. If your computers don’t have 2.5GbE ports you can use QNAP’s USB 3.2 Gen 1 to 5GbE adapter (model name QNA-UC5G1T) to take advantage of the huge speed increase that 2.5GbE provides over standard Gigabit Ethernet. QNAP also provide affordable 2.5GbE switches and other adapters for you to take full advantage of the TS-262’s 2.5GbE connectivity. Intel dual-core processor burst up to 2.9 GHzThe TS-262 is powered by an Intel® Celeron® N4505 dual-core processor (burst up to 2.9 GHz) and supports SATA 6 Gb/s drives. The Intel® AES-NI encryption engine boosts encryption performance while also maintaining the security of your NAS data. You can flexibly install NVMe SSDs in the M.2 PCIe slots for cache acceleration to maximize network and storage performance for data-intensive applications or enable Qtier for auto-tiered storage for higher storage efficiency. Accelerate AI–powered image recognition and caching with TPU and PCIe expansionThe TS-262 has two M.2 PCIe Gen3 slots enabling SSD caching or SSD storage pools for improved performance or Edge TPU for AI image recognition. Install M.2 NVMe SSDs for cache acceleration or efficient tiered storageThe TS-262 supports SSD caching and features two M.2 slots that support M.2 PCIe NVMe SSDs1 with 2280 form factors (sold separately) for boosting overall NAS performance. Qtier™ technology can also be used to empower the TS-262 with auto tiering that helps continuously optimize storage efficiency across all installed storage devices. Accelerate AI–powered image recognition with TPUBy leveraging a Google Edge TPU to QNAP AI Core (the AI-powered engine for image recognition) the TS-262 can perform high-speed face and object recognition. Google Edge TPU enables QuMagie to quickly process thousands of photos with high-speed AI Image recogni
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