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by codecamper 3688 days ago
I don't see any mention of offering these chips for sale. You can rent them it seems via cloud offerings & that's it.
2 comments

Sure, but that's the deal. I'll buy the latest nVidia 1080 card as soon as I can but renting these custom chips per minute would be a way better option for me.
GPUs also have this nice side effect of being great at playing games on. Purely as a guess I'd think that the gaming market is bigger than the AI researcher market.
In a future where AI is everywhere, Nvidia hopes it can sell GPUs by the hundreds and thousands to large data centers. You can make a lot more money a lot faster selling your hardware this way, and Nvidia is very interested in it judging from how much they talked about it at their recent conference.
I would be surprised if they weren't working on their own specialised chips then, though Google have the advantage of already having the software specs to build for.
> Purely as a guess I'd think that the gaming market is bigger than the AI researcher market.

Machine learning isn't just targeting the AI researcher market though -- it's widely used by a huge number of companies, and of course, by many of Google's most important products. I would argue that those markets combined are larger than gaming.

Yup, I assume they're gonna keep them in house as a competitive advantage for a time. I doubt they'll do it forever; the most valuable part of NVIDIA's CUDA is the ecosystem, and I think Google knows that.
I would assume that the API to use these is tensorflow.

So... just use Google's machine learning cloud thingy.

The software can build the community, where the supercharging is only available when you run it on Google cloud.

(although GPU performance isn't bad either, so you don't have to, thus community)