Attention enthusiasts, developers and creators. Are you working on a new embedded computing application?
Meet the Jetson TK1 Developer Kit. It’s the world’s first mobile supercomputer for embedded systems, putting unprecedented computing performance in a low-power, portable and fully programmable package.
Power, ports, and portability: the Jetson TK1 development kit.The Jetson TK1 development kit
It’s the ultimate platform for developing next-generation computer vision solutions for robotics, medical devices, and automotive applications.
And we’re giving away 50 of them as part of our Tegra K1 CUDA Vision Challenge.
In addition to the Tegra K1 processor, the Jetson TK1 DevKit is equipped with 2 GB of RAM, 16 GB of storage and a host of ports and connectivity options.
And, because it offers full support for CUDA, the most pervasive, easy-to-use parallel computing platform and programming model, it’s much easier to program than the FPGA, custom ASIC and DSP processors that are typically used in today’s embedded systems.
Jetson TK1 is based on the Kepler computing architecture, the same technology powering today’s supercomputers, professional workstations and high-end gaming rigs. It has 192 CUDA cores, delivering over 300 GFLOPs of performance, and also provides full support for OpenGL 4.4, and CUDA 6.0, as well as the GPU-accelerated OpenCV.
Our Tegra K1 system-on-a-chip offers unprecedented power and portability.Our Tegra K1 system-on-a-chip offers unprecedented power and portability.
Entering the Tegra K1 CUDA Vision Challenge is easy. Just tell us about your embedded application idea. All proposals must be submitted April 30, 2014. Entries will be judged for innovation, impact on research or industry, public availability, and quality of work.
By the end of May, the top 50 submissions will be awarded one of the first Jetson TK1 DevKits to roll off the production line, as well as access to technical support documents and assets.
The five most noteworthy Jetson TK1 breakthroughs may get a chance to share their work at the NVIDIA GPU Technology Conference in 2015.
I need ideas… :/
I need ideas… :/
Here’s some ideas to get your
Here’s some ideas to get your thinking cap flowing…
– Wheelchair pothole bump detector/mitigator
– Mosquito/fly zapper (avoid humans, pets, and cameras)
– Garden Pest recognizer (allow the good bugs)
– Active mousetrap/voletrap (don’t kill the neighbor’s hamster)
– Pet recognizer for pet doors
– Invasive plant recognizer/poison-injector
Oops, consumer products may not fit the criteria:
– you are working on computer vision applications
– impact on research or industry,
– public availability, and
– quality of work
A graphics tablet that runs a
A graphics tablet that runs a full linux distro!
For less then a $200 prize
For less then a $200 prize you have to agree for them to steal your idea.
Awesome Nvidia. The way its meant to be stolen.
Might reward an open source
Might reward an open source project with a nice bit of publicity. It’s not stealing if it was meant to be shared.
Right, Only the top 5
Right, Only the top 5 get the publicity when all who enter get their ideas ripped off.
1yr later Nvidia makes millions off an idea and all it had to do was give you hope in winning a $200 prize.
Like most contests, the main
Like most contests, the main benefit is recognition and publicity, not the token prizes.
In your scenario, the open source project may benefit from plenty of free marketing (if credited by NVidia), or plenty of free news stories (if it’s making NVidia millions).
Thanks for reading the fine print. This contest appears to be for technologies that are shared, not sold.
Most contest don’t
Most contest don’t stipulate signing over all your creative rights upon entering it.
Its a fishing for ideas contest to market and sell for themselves otherwise they would let you retain your rights and just showcase your work while still getting the marketing and stories out of it.
Nvidia: The way your meant to be had.
“Public availability” is one
“Public availability” is one of the judging criteria.
Another is “impact on research or industry”.
So this seems appropriate for people who are planning to publish and share their vision techniques anyway, such as for scientific research experiments.
It sounds like you prefer not to give NVidia free technology that it might use to make millions without you. Reciprocating, NVidia prefers not to give you free publicity that you might use to make millions without NVidia (e.g., by signing licensing deals with other vendors but not NVidia).
Maybe partly to avoid the licensing negotiation quagmire (and its potential delays, expense, and bad publicity), NVidia is focusing this contest on publicly available technologies. It’s exploring for new markets, where anyone can play.
Atleast quote it
Atleast quote it correctly.
Looks more like they are looking for something to be sold with-in the computer vision industry. There is no mention anywhere about open source in the document.
Again. Only top 5 get the publicity and everyone who enters signs over there rights to Nvidia upon entry.
Inventor = lucky to get a mention or a $200 prize but assured to get screwed.
Big corporation = millions
Nvidia: The way its meant to be trademarked.
Why this thing has only one
Why this thing has only one full sized usb? Such an oversight.
Maybe Nivida is not getting
Maybe Nivida is not getting too many design wins with the OEMs on the K1, or maybe Nvidia is being a prick about things and wanting to much control over the ecosystem built around this SOC. I’ll be waiting for the independent benchmarks, and evaluating AMD offerings, AMD’s AM1 platform and SOC’s have recieved a lot of attention. Its getting towards late April, and the benchmarking sites are probably waiting for the NDAs to lapse. Beeema and Mullins are about ready too, and I wonder what the GPU core count is going to be for those AMD products. There will be plenty to read in just a short while. Tablet SOCs are going to be a big battle front through 2014-2015, with Apple gearing up for an A8 also.
i think nvidia has been long
i think nvidia has been long dreaming on something like this; to bring their CUDA ecosystem to mobile and embedded application. before nvidia comes up with Jetson TK1 nvidia already make dev board combining Tegra 3 and their discrete GPU. the very purpose of the discrete gpu was not for graphic but solely for CUDA since the GPU in Tegra 3 cannot use CUDA. so nvidia making this Jetson TK1 board and focusing more on embedded application is have nothing to do with lack of tablet design. they will still do it even if they have lots of design win for consumer product.
I plan on building a small
I plan on building a small Blender CUDA render machine out of this.