Google uses its own Tensor Processing Units for AI. ChatGPT also already transitions from Nvidia GPUs to custom in-house designed chips. Anthropic is exploring to design its own custom chips.
These are the first google results when I search for the AI chips of these companies. Then there are also wafer-scale chips
I think Nvidia became big because Cuda is used so much. But ai companies run their own data centres, can use whatever chip design and send it themselves to TSMC. They have no need to pay Nvidia.
Yes, that's a bit more complex and one has to be specific what they talk about.
What I mean is, the contribution of AI to the GDP lies in the construction of data centers, not in a productivity gain caused by AI. And I believe the calculations according to which the US had nearly no other economic growth. This could mean that it is just wasted money spent on servers because of a hype.
It wasn't really "defect". It was designed for earth observations, because the telescope was just the facade for the KH-11 KENNEN spy satellite program. Because of that the focal length was minimally off.
I am just reading up a bit on this topic, and can't believe it.
All these companies had their own servers and data solutions in the past, keeping it all protected and to themselves.
But at some point they decided to put everything into the "cloud"
They are not meaningless. These internal payments justify if a system is kept running, if it is worth the effort, and if it would be better to buy the service elsewhere