








CKL 4K KVM Switch Dual Monitor for 2 Computers 2 Monitors (HDMI+ HDMI 4K@60Hz)
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Product Details
【DUAL MONITOR KVM SWITCH FOR 2 COMPUTERS】 Perfect for hooking up 2 desktops or laptops to share one set of keyboard, mouse and 2 monitors for extended or mirrored screens. Recommend to use 2 HDMI monitors display outputs. A premium KVM switch for setting up an efficient workspace and work safe from home.
【2x2 HDMI KVM SWITCH WITH MULTIPLE SWITCHING MODES】 Switch easily between personal PC and work laptop using mouse click, keyboard hotkey, push button or wired remoter. Reduce unplugging and re-plugging cables and jump between internal and external internet instantly. Also support auto scan with adjustable interval time between 8-999 seconds to monitor multiple devices automatically.
【KVM SWITCH HDMI 2.0 SUPPORT UHD 4K@60HZ 4:4:4】This 2 computers 2 monitors KVM switch conforms to HDMI 2.0 standard and support UHD 3840x2160(4K)@60hz , 3440x1440@60Hz/120Hz, 3840x1080@60Hz/120Hz. Please note the resolution is also subject to graphic card and adapter if any.
【USB PASSTHOUGH TECHNOLOGY FOR BROADER COMPATIBLITY】 The unique USB pass-through technology makes it compatible with more keyboard and mouse devices, no matter wired or wireless, generic or gaming. The 2 Standard USB 2.0 ports on front panel allows you to share more USB peripherals between computers.
【CROSS SUPPORT MULTIPLE PLATFORMS & DEVICES】: Fully compatible with Windows 10/7/2000/XP/, Linux, Mac and most major operation systems ; also support devices like server, webcam, hard disk player, game console, DVR, NVR etc. Plug and play without any software needed.
Best Review
Customers like the ease of setup and switching ability of the electronic switch. They mention the directions are clear. However, some customers have reported issues with monitor functionality and USB ports. They also say the hub has very few USB ports and is loose. Customers are disappointed with the value for money. Opinions are mixed on functionality, build quality, and cable supplies.AI-generated from the text of customer reviews