Inference embedded PC features vision processing units

May 25, 2020 //By Ally Winning
ICP Germany’s compact ITG-100AI embedded PC features an inference system that is ready for use with dedicated neural network topologies (DNN).
ICP Germany’s compact ITG-100AI embedded PC features an inference system that is ready for use with dedicated neural network topologies (DNN).

AI is processed by the PC’s two Intel Movidius Myriad X VPUs to provide excellent inference performance per watt, 16 SHAVES cores for AI calculations and native FP16 support. The hardware is supported by Intel's OpenVINO open source toolkit for end-to-end acceleration in a wide range of neural networks. OpenVINO allows CNN-based, pre-trained models to be easily deployed at the edge. Training models from Caffe or Tensorflow can also be implemented quickly and easily.

The ITG-100AI is powered by an Intel Atom x5-E3930 Apollo Lake SoC supported by 8GByte DDR3L memory. A 128GB SATA DOM is included for Linux or Windows 10 and the OpenVINO Toolkit, and the training model. Peripheral devices can be connected to the two LAN GbE, RS-232/422/485 and USB 3.0 interfaces. The ITG-100AI can be used in areas with a temperature range from - 20°C to +50°C.

More information

https://www.icp-deutschland.de/industrie-pc/embedded-pc/mit-pcie-mini-slot/ultrakompakt-itg/itg-100ai-e1-8gb-s-r10.html

https://files.icp-deutschland.de/produkte/KC002275/web/icp/ITG-100AI-embeddedpc-ai-edge-gateway-datasheet-20191120.pdf

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