Nvidia’s Cuda Vision Challenge Promises 50 Lucky Winners A Tegra K1 Developer Kit

April 25, 2014 - Written By Justin Diaz

Nvidia seems to be working on a nice little way to get individuals interested in development of the Tegra K1 CPU, but more specifically for new and innovative ideas for an embedded application. Nvidias Tegra K1 Cuda Vision challenge asks enthusiasts, developers and creators alike to submit their ideas for a new embedded application for the Tegra K1 chip, with the top 50 ideas receiving the Jetson Tegra K1 Development kit as a prize. Nvidia says the Jetson Tegra K1 Dev kit is “the ultimate platform for developing next-gen computer vision solutions like robotics, medical devices, and automotive apps.”

Nvidia is obviously trying to rally up some great new ideas through this contest to further development of their own, and for those that are potential candidates for this contest if you think you have a great idea that could pass for a top submission we’d suggest you get your work in hastily as you only have until April 30th to do so. The Tegra K1 Dev kit is not only equipped with the Nvidia Tegra K1 CPU, but also 2GB of RAM, 16GB of storage space and various ports for a decent selection of ways to connect the setup. The dev kit offers for support for CUDA, and is based off of the Kepler computing architecture that is used in many different avenues spanning from super computers to high end gaming rigs, so if being able to connect one of these bad boys up to your home gaming setup entices you, all you have to do is come up with one of the 50 best embedded app ideas by the deadline.

If you think you have a submission that’s got what it takes, get it ready to go as you only have five days left to wow the team at Nvidia. The submissions are judged on multiple criteria including innovation, public availability, quality of work, and impact on research or the industry so it would be good to take all of these things into account. Nvidia will sift through all the applicants after the contest is over and reportedly choose the top 50 submissions by the end of next month, with the top 5 having a possibility to share their work at the NVIDIA GPU Technology Conference next year. Sound like something you’d be interested in? Click the link below for the details on Nvidia’s website.