A portable supercomputer for image-processing & machine-learning applications

COSMONiO® NOUS™ is a revolutionary single-board supercomputer based on NVIDIA® Kepler™ technology with 192 GPU cores. COSMONiO blends supercomputer-class hardware with the most advanced computer-vision and machine-learning software for unparalleled performance.

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The future of computing is parallel.

Be part of it.

What is NOUS?

NOUS™ is a hardware platform for computer-vision and machine-learning applications. Such applications usually require a parallel architecture that enables concurrent execution of multiple tasks. NOUS™ is tiny and portable with the processing power of a supercomputer.

What is it used for?

  • Computer-vision
  • Image-processing
  • Machine-learning
  • Embedded vision systems
  • As a secondary processing unit for wearable devices
Currently, NOUS™ is only available to existing COSMONiO customers.


  • Ultra-fast execution of parallel tasks
  • One platform for all your high-end applications
  • Reliable
  • Power efficient
  • Low cost


For the past few years COSMONiO focussed entirely on software development. However, each customer used a different type of computer for which the software needed to be optimised. This optimisation process was time-consuming and costly. So we asked ourselves: Is it worth investing time in platform-specific optimisation? What if we had a low-cost board that is capable of running our demanding software? This simple idea gave birth to NOUS™.


  • NVIDIA Kepler GPU with 192 CUDA cores
  • Quad-core ARM® Cortex-A15 CPU
  • 2 GB memory
  • 16 GB eMMC + support for any 2.5’’ HDD or SSD
  • Gigabit Ethernet
  • Wifi 802.11ac
  • USB 3.0
  • HDMI 1.4 SATA
  • Line out/Mic in
  • RS232 serial port

Embedded NOUS

NOUS is ideal for embedded vision applications. For this reason, we have created a more durable case with mounting points for easy installation. Additional sensors or devices can be integrated directly into the NOUS enclosure. For example, the central image below shows NOUS being integrated with the LEAP Motion controller.

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