Embedded box computer BOXER-8170AI
ARM® Cortex®-A57 quad-coreNVIDIA® Jetson TX2SATA

embedded box computer
embedded box computer
embedded box computer
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ARM® Cortex®-A57 quad-core, NVIDIA® Jetson TX2
SATA, USB 3.0, RS-232, USB 2.0, gigabit Ethernet, RS-485, RJ45, SD card, micro SD card, HDMI
Other characteristics
fanless, PoE, wall-mounted
for automotive applications


Overview The BOXER-8170AI is an embedded AI@Edge box PC powered by the NVIDIA Jetson TX2. The unique design of this SoC provides support for up to 256 CUDA cores and performance to power a wide range of AI@Edge applications. The BOXER-8170AI comes with 8GB LPDDR4 memory and 32GB eMMC storage onboard. The BOXER-8170AI supports AI frameworks such as TensorFlow, Caffe, and can support AI inference software from developers and customers. The BOXER-8170AI is designed to bring flexibility and stability to AI Edge networks. It features four PoE LAN ports, each with their own dedicated chip, allowing for greater bandwidth and stability for connected cameras or devices. The BOXER-8170AI also features four USB 3.0 ports, two COM ports, two HDMI ports, and remote ON/OFF. The BOXER-8170AI also features a Gigabit LAN port and two antenna ports to allow easy integration into existing networks, or for deployment as an AIOT gateway. With USB OTG and an SD Card slot, system maintenance is easy for the BOXER-8170AI. Its chassis is built for industry, with a fanless design and all aluminum chasis. The BOXER-8170AI is capable of operating in temperatures from -20°C to 50°C and features a wide input voltage range of 12 to 24 VDC. Features -Designed for Enbedded AI vehicle Controller -Gigabit Ethernet x 1 and 802.3af PoE x 4 for survillance -Nvidia TX2 Module -HMP Dual Denver 2 + Quad ARM A57 -8GB LPDDR4 -32GB eMMC 5.1 -HDMI 2.0 x2 -USB 3.0 x4 -COM x2 -DC 12~24V


*Prices are pre-tax. They exclude delivery charges and customs duties and do not include additional charges for installation or activation options. Prices are indicative only and may vary by country, with changes to the cost of raw materials and exchange rates.