Connect Tech – Embedded Solutions Supporting AI at the Edge



Guelph, Ontario, September 2017 – Modern day wars will rely on the implementation of artificial intelligence in the field; intelligence that will support the human operator. Deploying trained networks/AI to the field requires rugged GPU based solutions such as the VXG Systems developed by Connect Tech. Choose from NVIDIA® Quadro® or Tesla® GPUs paired with XEON® class processors in a compact system designed to be highly portable.

Connect Tech, a proud NVIDIA Partner, releases NVIDIA Quadro and Tesla GPUs on its COM Express + GPU Embedded Platform. Intel® processors are combined with NVIDIA Pascal™ and Maxwell™ architectures into a ruggedized small form factor embedded system. This is an ideal platform to enable deployable multi-Teraflop CUDA® solutions in a small ruggedized form factor.

This embedded system exposes all of the latest generation interconnect including: Gigabit Ethernet, USB 3.0 and 2.0, DisplayPort++, VGA, LVDS, SATA III, GPIO, I2C, mSATA, miniPCIe, PCIe/104 and SD Card Expansion. The system uses all locking ruggedized positive latching connectors.

Connect Tech’s GPU Embedded System will be on display at DSEI from September 12-15 at Stand N3-606 in London, England.

About Connect Tech Inc.:
For over 30 years, Connect Tech has built a solid reputation for expertise in providing professional design services, delivering unsurpassed technical support and developing innovative products for embedded applications. Our products include commercial off-the-shelf and modified solutions for NVIDIA Embedded GPUs, COM Express®, Qseven, SMARC Carriers, Single Board Computers, Rugged Tablets, Cellular/Satellite M2M, FPGA, Digital & Analog I/O, Power Supplies, Enclosures, CAN Controllers, Solid State Drives, Ethernet-to-Serial, Multi-port Serial Cards, Adapters & Development Tools.

Contact Information

Connect Tech Inc.

42 Arrow Road
Guelph, Ontario, N1K 1S6
Canada

tele: 519.836.1291
fax: 519.836.4878
sales@connecttech.com
http://www.connecttech.com

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