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How many customers/consumers will care about services are be built with CUDA?

If they need a ChatBot that uses a model with same accuracy and performance as on non-CUDA hardware, would they still want CUDA based hardware?


Who is going to build the architecture and compile the device specific kernels? You have to pay those people as well and you can save tons of money and time if you do it with cuda.


"Everyone" at top is also developing their own chips for inference and providing APIs for customers to not worry about using CUDA.

It looks like the price to performance of inference tasks gives providers a big incentive to move away from Nvidia.


There are only like 3 AI building companies who have the tech capability and resources to afford that and 2 of them don't even offer their chips to others or have gone back to Nvidia. The rest is manufacturers desperately trying to get a piece of the pie.


Hope they make it easy to wipe and install Linux.


Thank you!


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