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AI Is Starting to Look Like the Dot Com Bubble
(futurism.com)
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this post was submitted on 13 Aug 2023
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They are, but training models is hard and inference (actually using them) is (relatively) cheap. If you make a a GPT-3 size model you don't always need the full H100 with 80+ gb to run it when things like quantization show that you can get 99% of its performance at >1/4 the size.
Thus NVIDIA selling this at 3k as an 'AI' card, even though it wont be as fast. If they need top speed for inference though, yea, H100 is still the way they would go.