Many of Nvidia's "gaming" cards (e.g., higher-end GTX cards) are in fact used NOT for gaming but for deep learning by numerous AI researchers, developers, and startups with small budgets who buy them through retail channels.
a) AI/startups
b) gamers
what would you guess?
My guess is somewhere between 1:50 and and 1:500.
Imagine a world where every car has semi-autonomous technology, the average security camera is doing object detection, localization, more sophisticated language translation, smart drones, etc. The potential for deep learning is undeniable and Nvidia (currently) is leading this race.
Nvidia is pushing PX2 but I have a feeling they are too expensive for most cars - don't know the exact price but "a few thousand dollars" was quoted for the Teslas that use them. Some specs - http://wccftech.com/nvidia-drive-px2-pascal-gtc-2016/
At the same time Qualcomm is pushing their much less performant chips for self-driving cars, but at a much lower price point (hundreds of dollars)
The key here isn't that this isn't a full power desktop GPU, but it will run inference on a CUDA-compatible kernel.
That give NVidia a complete end-to-end modelling, training and driving platform. No one else has that.
It seems if they are used in development the sales don't scale anywhere near directly with the number of units sold.
Maybe I'm missing something?