Wall-Mounted Rugged Industrial Computer Q670 Chipset 128g 12com 12usb

1.The machine port is very rich, with single-sided outgoing line, front panel with switch and 2 USB ports, which is convenient for operation and maintenance.The rear panel has a 300W power supply that can be replaced with a 550W or higher wattage power supply, 2 intel gigabit ports (subtitles: 1 IntelI225-V2.5G gigabit port, 1 IntelI219-V gigabit port), and 1 HDMI DVI VGA supports dual display. 6 COM interfaces (subtitles: 1 RS232/422/485, 1 RS232/485), 6 USB3.0, 2 USB2.0, built-in USB dongle, 3 audio interfaces, to meet the needs of daily work.

2.Motherboard with Intel®Q670 chipset, supports Intel®Core™The 12-generation processor, the cpu power supply design part of the motherboard, uses sufficient materials and can support 125w cpu with k, up to i9 12900k. 4 DDR4 memory slots support 128G memory, optional 8G/16G/32G/64G DDR4 memory, running fast and stable.Four SATA Ⅲ interfaces can be used with a 128g solid-state hard disk with power-off protection, an operating system can be installed, and a mechanical hard disk of 1t or more can be used to store data, supporting RAID 0/1/5/10, to meet different use requirements. Using SLB9670 chip, support TPM2.0 security encryption chip. At the same time, the machine has strong expansibility, with 7 expansion slots, 2 PCle× 16 slots, 4 PCleX4 slots, 1 PCI slot,Expandable GPU graphics card, image capture card, PoE network port card, connect GigE camera, expand USB card, connect USB high-speed camera,COM card, motion control card and other expansion cards, there is also a 2230 standard interface, support 4g/5g/wifi expansion.Flexible expansion can be selected according to demand.

3.The compatibility of the machine is strong enough to support a variety of operating systems, such as our commonly used Windows10/11, Windows server 2016, Linux, Ubuntu, Centos and other operating systems. Machines are widely used in high-precision visual detection such as artificial intelligence, machine vision, rail transit, and the Internet of Things, detection applications with deep learning, and applications suitable for gpu multiple gigabit network cards.