Equipped with RK3566 processor, the mini computer supports 8G large RAM. M.2 interface enables expansion with large hard drive. various sytems and boot ways are supported - with the dedicated application programs and forums, geek fun is endless.
The newest 3rd generation lineup to the UP Squared Pro series, the UP Squared Pro 7000 is powered by the Intel®Processor N50 Processor (formerly Alder Lake N).
The Quad-core 64-bit Mini PC - RK3328 is a compact and powerful main board with a stable and reliable performance. It features a powerful hardware decoding capability, supports multiple operating systems, and comes with rich expansion interfaces, making it a cost-effective and durable solution for various applications.
The newest 3rd generation lineup to the UP Squared Pro series, the UP Squared Pro 7000 is powered by the Intel®Processor N97 Processor (formerly Alder Lake N).
The Khadas Edge2 IO Module is a GPIO break-out board for the Edge2 that expands the functions of Edge2 by connecting to the FPC connector on the underside. It incorporates a UHS-I SD card reader, a dual-channel infrared receiver, USB ports and more!
The Quad-Core High-Performance AI Mainboard - 3568J AIO-3568J is a versatile motherboard with a range of interfaces, suitable for use in various intelligent products. It features a quad-core processor, multiple interfaces, and is available in three configurations with varying RAM and storage capacities.
The newest 3rd generation lineup to the UP Squared Pro series, the UP Squared Pro 7000 is powered by the Intel Atom®x7425E Processor (formerly Alder Lake N).
Edge2's Active Cooling Kit = Edge Heatsink + 3705 Cooling Fan.
Note that the 3705 Cooling Fan cannot be mounted on an Edge1, because the wire is too short.
WIFI Module #5BK uses the same chipset (Realtek RTL8821CU) as WIFI Module #5B, so it is 100% compatible. IEEE 802.11ac/a/b/g/n WLAN and Bluetooth combo module with onboard 2.4Ghz and 5.8Ghz Dual band antenna.
Equipped with a high-performance quad-core AI vision processor with built-in AI neural network acceleration NPU, the core board has capable computing power up to 2.0 Tops, which can achieve efficient face recognition and detection; it supports multi-channel
