You must be joking. I've only been pointing you repeatedly to Nvidia breakthroughs, with references and links provided, for the last 5 posts. Either you are blind, or willfully ignorant.
More self-driving accidents are only going to accelerate the pace. 3 years from now the government will be requiring auto makers to use the Drive Constellation [1] for safety testing.
Google has nothing remotely comparable, neither in published research nor in announced products.
We've gone through something like 8 replies and thousands of words, and you have written exactly one sentence addressing Nvidia's developments.
> The joules per inference is just way too expensive with Nvidia.
The Drive Xavier is basically a giant inferencing engine on a power-constrained platform [2]. It will be shipping in quantity in 2019. There is no equivalent Google product even announced.
> Now has over 98k stars on GitHub.
The fact that you are resorting to GitHub stars to make your argument is utterly laughable.
CUDA and cuDNN is the real enabler, which every single DL framework today (including TF) supports. People trust Nvidia far more than they trust Google to be an ecosystem partner.
> Unless Nvidia makes major advancement
Looked through your social media posts, half of them are pro-Google fanboism.
Nvidia's makes major advancements every 6 months across the entire deep learning stack. I keep pointing you towards what they're doing, hoping you have something interesting to say, but all you have to offer is the same tired Google cheerleading.
Look, I'm a long-time investor in both companies and like them both very much. But it's quite obvious you have zero interest in doing even a smidgen of research about Nvidia nor their technology.
Anyway, thanks for the replies, but I'm no longer interested in continuing this convo. You don't seem to know anything relevant at all about Nvidia, nor are you interested in learning more, despite all attempt to point you towards interesting things that they're doing, and why their approach is unique.
[1] https://www.youtube.com/watch?v=lVlqggTiTzY
[2] https://www.engadget.com/2018/01/07/nvidia-xavier-soc-self-d...
