Artificial Intelligence Embedded System for Edge AI Computing and Deep Learning Applications

Axiomtek’s AIE500-901-FL is suitable for video analysis, object classification, computer vision, quality control, and more.

2003np Axiomtek1

The fanless embedded system employs an NVIDIA Jetson TX2 module which has a 64-bit ARM A57 processor; NVIDIA Pascal GPU with 256 CUDA cores; and 8 GB of 128-bit LPDDR4 memory. To withstand the rigors of day-to-day operation, the unit has an extended operating temperature range of -30 to +60 °C (-22 to 140 ºF) and withstands vibration of up to 3 Grms. I/O interfaces include one HDMI 2.0 port, two USB 3.1 Gen1 ports, two GbE LAN, two COM ports or two CAN ports, one OTG port, and one MicroSD port. It also offers one reset button, one power button, one recovery switch and four SMA-type antenna openings. To meet the industrial and automatic requirements, the system has a 12 or 24 VDC power input. It bundles with NVIDIA JetPack 4.2.1 to help developers to jump-start their development environment for developing with the NVIDIA Jetson platform and minimize what they need to do to develop artificial intelligence-related applications.

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